data management Archives | Comidor Platform All-in-one Digital Modernization Wed, 05 Feb 2025 14:17:10 +0000 en-GB hourly 1 https://www.comidor.com/wp-content/uploads/2025/05/cropped-Comidor-favicon-25-32x32.png data management Archives | Comidor Platform 32 32 Tips for Protecting Data in the Cloud https://www.comidor.com/blog/cloud-technology/cloud-data-protection/ Wed, 05 Feb 2025 14:17:10 +0000 https://www.comidor.com/?p=38341 The move to cloud computing has transformed how we store and access our data. While the cloud computing model has numerous and undoubted benefits, challenges accompany this technology. Perhaps the most important of these challenges is cloud data protection. The shift to cloud computing has moved data from the safety of its “home” network to […]

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The move to cloud computing has transformed how we store and access our data. While the cloud computing model has numerous and undoubted benefits, challenges accompany this technology. Perhaps the most important of these challenges is cloud data protection. The shift to cloud computing has moved data from the safety of its “home” network to the world of unsecured networks and multiple end-point devices. This is not a problem to be ignored – A study by Statista shows the scale of the problem with 40% of respondents experiencing a cloud-based data breach in the past.

Let’s take an in-depth look at the security challenges of cloud computing and list some actionable tips for protecting your data in the cloud.

Understanding Cloud Data Risks

The first tip in any list of this type is to understand the risks that you face. Knowing the inherent security risks associated with cloud computing lays the foundation for implementing a robust strategy that focuses on the key risk factors.

These risks vary by industry. For instance, an eCommerce company would consider advanced inventory management procedures as being an integral part of a holistic approach to security, whereas this would have no bearing on the strategy of an accounting firm. However, there are common risks associated with any type of organization using direct cloud connectivity.

Among the risk areas common to cloud computing are:

  • Data breaches: Perhaps the most alarming of risks, data breaches can expose sensitive information due to security vulnerabilities or compromised credentials.
  • Unauthorized access: Inadequate access controls can lead to unauthorized individuals gaining access to sensitive data, potentially leading to data manipulation or theft.
  • Insider threats: Risks not only come from external sources but also from within an organization. Employees or contractors with access to cloud services can misuse or mishandle data, intentionally or accidentally.
  • Compliance violations: Failing to adhere to legal and regulatory standards can lead to significant legal penalties and loss of customer trust.
  • Shared responsibility model confusion: Misunderstanding the security responsibilities between the cloud service provider and the user can leave gaps in protection.

Armed with the relevant information implementing a comprehensive strategy for protecting data in the cloud becomes a lot easier.

web and cyber risk data- image 1

Best Practices for Cloud Data Protection

Gone are the days when a simple firewall and some robust anti-virus software were all that were needed to protect your data. Cloud data protection now requires a multi-pronged approach as described in the best practices listed below:

General Best Practices for Cloud Data Protection

There is no one-size-fits-all approach to cloud data protection, each organization will have its own needs and requirements to factor into the solution they opt for. However, regardless of the size and complexity of the model, there are general best practices that should be present in all circumstances.

Key critical best practices include:

  • Data encryption: Protecting data both at rest and in transit is essential. By encrypting it, even if unauthorized access or interception occurs, the information remains unreadable without the correct decryption keys.
  • Workplace data management procedures: The cloud computing model requires a comprehensive workplace data management strategy.
  • Access control: Implement stringent access control policies. Use strong authentication methods and limit access based on user roles and the principle of least privilege.
  • Regular security audits: Conduct periodic audits to assess and improve the security posture. These audits help identify vulnerabilities and ensure compliance with security policies.
  • Data backup strategies: Regularly back up data to prevent loss in case of a breach or system failure. Ensure backups are secure and easily recoverable.
  • Compliance with regulations: Stay updated and compliant with relevant data protection regulations like GDPR, HIPAA, etc. This not only avoids legal repercussions but also enhances trustworthiness.
  • Employee training and awareness: Educate employees about security best practices for protecting critical digital assets and potential threats. Human error can often be a weak link in data security.

By integrating these practices into your cloud data security strategy, you can significantly enhance the protection of your data.

Incorporating Automation for Enhanced Security

The rise of technologies like Artificial Intelligence (AI) and Machine Learning (ML) has changed the face of computing. These are truly disruptive technologies that are already enhancing many facets of how we use and interact with technology – one of these is as an added layer of advanced security for protecting data in the cloud.

Some of the main ways intelligent automation is protecting data in the cloud include:

  • Automated security monitoring: Utilizing tools that continuously monitor for security threats can significantly reduce the risk of breaches. Automation in monitoring ensures that threats are identified and addressed in real time, minimizing potential damage.
  • AI and ML in threat detection: AI is playing an increasingly larger role in cybersecurity. AI and ML algorithms can analyze patterns and predict potential security incidents before they occur. This proactive approach to threat detection is crucial in staying ahead of cybercriminals.
  • Streamlining compliance processes: Automation tools can assist in maintaining compliance with various data protection regulations. They can automatically update systems in line with changing laws, ensuring continuous compliance.
  • Incident response automation: In the event of a security breach, automated systems can initiate immediate response actions, such as isolating affected systems, to prevent further damage.
  • Enhanced data management: Automation can help in categorizing and securing data based on its sensitivity, ensuring that high-risk data receives the highest level of protection.

Cloud Security in the Era of Low-Code Platforms

Low-code platforms have simplified and democratized application development and have brought undoubted benefits to IT teams. However, they do present unique security challenges in cloud environments that need to be addressed.

These include:

  • Vulnerability management: Low-code platforms can introduce vulnerabilities if not properly managed. Regular security assessments and updates are crucial to mitigate this risk.
  • Access control in cloud-based application development: Ensuring strict access control within the development environment is key. This includes managing who can create, modify, or deploy applications.
  • Data privacy and compliance: Low-code platforms must adhere to data protection regulations. It’s essential to ensure that these platforms are compliant with standards like GDPR and HIPAA.
  • Integration security: As low-code platforms often integrate with existing systems, securing these integrations is vital to prevent data leaks.

Low-code platforms have opened up application development to a wide range of users. However, the low-code development approach should combine the agility of the platform with the need for stringent security.

Tips for Protecting Data in the Cloud Infographic | Comidor

Don’t Get Lost in the Cloud: The Importance of Data Security

The move to cloud computing has revolutionized the workplace and how we store – and secure – our data. While the benefits of each cloud security model are changing the face of many industries, caution is required when considering cloud data protection.

Robust security solutions should incorporate many of the best practices and tips listed in this article. A tailored and comprehensive security strategy allows organizations to reap the benefits of cloud technology while ensuring that critical data is not exposed to unnecessary risks.

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6 Game-Changing Modern Business Solutions to Watch in 2024 and Beyond https://www.comidor.com/news/industry-news/modern-business-solutions/ Wed, 28 Feb 2024 11:47:53 +0000 https://www.comidor.com/?p=37884 Incredible news awaits amidst the challenges of 2023’s economic downturn! While it may have cast a shadow over numerous industries, brace yourself for an exhilarating turnaround in 2024! Here is your chance to use six modern business solutions to change the game in 2024. In this article, we will walk you through what they are, the […]

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Incredible news awaits amidst the challenges of 2023’s economic downturn! While it may have cast a shadow over numerous industries, brace yourself for an exhilarating turnaround in 2024! Here is your chance to use six modern business solutions to change the game in 2024. In this article, we will walk you through what they are, the advantages they will generate, and helpful tools. Scroll down for details!

1. Leverage Business Process Management Techniques

1.1 Why Should You Automate Business Processes in 2024?

  • Boost team productivity: Automating your business processes frees up your employees from repetitive routines. Hence, they can have more time to handle more complex business aspects.
  • Higher accuracy: Business process automation indicates a future where the reins of control are confidently handed over to computers, empowering efficiency and streamlining operations like never before.
Hence, it can reduce human errors and generate higher accuracy.
  • Better customer relationships: Streamlining processes, especially customer-facing ones, also allows for instant responses, proactive support, and personalized engagements.
  • Seamless scalability: You can effortlessly scale up your business as automated workflows adapt to changing demands without additional resources.

1.2 What Tools Should You Use?

  • Workflow Automation Tools

You can adopt some workflow automation software offering pre-built connectors such as CRM (Customer Relationship Management System) and ERP (Enterprise Resource Planning). They can seamlessly integrate with existing systems, orchestrating tasks, routing information, and triggering actions automatically.

  • AI/ML and RPA

Artificial Intelligence/Machine Learning (AI/ML) tools can learn from data, make decisions, adapt, and improve your business process. Robotic Process Automation (RPA) refers to the automation technology using digital robots or bots to handle manual work or tasks.

RPA tools can automate repetitive tasks such as inventory level tracking, purchase order generation, and warehousing process optimization. Meanwhile, AI/ML gets insights from in-depth analysis of historical sales data, seasonal trends, and external factors for more accurate demand forecasting. It can proactively adjust inventory levels to minimize stockouts and overstocking and streamline logistics accordingly.

Hence, your team has more time on more sophisticated tasks like strategy development rather than being stuck with tedious and time-consuming tasks.

  • Business Process Management Software (BPM)

Business process management software can help you automate process mapping, reduce bottlenecks, and monitor real-time performance.

There will be unique advantages for your business if you combine BPM with RPA in your management. The combination enables you to integrate your existing systems with modern ones more efficiently. It will generate process improvement, which sets up for long-term development of your business.

RPA in business processes | Comidor Platform2. Invest in Low-code Solutions

The Low-code Development Platform Market is projected to be valued at USD 16.17 billion in 2024 and is forecasted to surge to USD 62.15 billion by 2029, with a remarkable compound annual growth rate (CAGR) of 30.90% during the forecast period from 2024 to 2029

A low-code platform is a visual software development environment that allows you to build custom applications with minimal coding. Its big advantage lies in a drag-and-drop interface and pre-built components.

2.1 Why Should You Adopt Low-Code Applications in 2024?

  • Increased productivity: Low-code applications remove the complexity of app development or adjustments. So, it makes the process happen roughly 6 to 20 times faster in many cases.
  • Enhanced agility and innovation:
    • Your business users can join the creation of solutions for your applications easily thanks to the features of a low-code platform. It opens opportunities for citizen developers to participate in building basic applications.
    • Your pool of potential contributors can expand. It also results in a shorter feedback loop between identifying a problem and implementing a solution.
  • Cost savings: By empowering citizen developers to build simple applications, you can reduce dependency on expensive coding resources.

2.2 What Tools Should You Use?

  • Low-code application studios have features such as drag-and-drop functionality, enabling potential citizen developers to join the app development process. Besides, they can ensure the streamlined operations of the business apps while limiting errors during the process.
  • Cloud integration allows you to upload your applications to the cloud and reuse them anywhere, anytime. Besides, your teams can easily access the essential information and data in the platform.
  • Artificial Intelligence is a great combination with your low-code app development to automate the repetitive steps and proactively adapt to changes based on history data analysis.

workflow automation with Low-Code | Comidor Platform3. Strengthen Security with Blockchain Technology

Blockchain is a distributed database or ledger facilitating the process of recording transactions and tracking assets. It is mostly used in cryptocurrency systems, yet many other industries apply blockchain technology to level up their business process management.

You can see the contribution of blockchain to the supply chain in tracking the movement of goods and materials by its immutable blockchain records. Besides, it offers smart contracts, which facilitate the automatic execution of agreements. It can profoundly reduce manual work and process bottlenecks.

In retail management’s security, blockchain can combat counterfeits by issuing unique digital identities for your products, verifiable on the chain. Explore the specific advantages of security that the technology helps your business below!

3.1 Why Should You Apply Blockchain Technology in 2024?

  • Robust security and transparency: Blockchain’s data distributed across a network of nodes can protect sensitive customer data from breaches and unauthorized access.
  • Advanced Counterfeit Detection: Each product on the blockchain can have a unique digital identity, which accelerates its authenticity verification. Thus, you don’t have to worry about counterfeit goods in your supply chain.
  • Immutable Data Trail: Blockchain acts as a tamper-proof ledger, where every transaction and product movement is cryptographically secured and permanently recorded. It saves your business’s database from being altered or trapped in fraudulent activities.
  • Enhanced Access Control: Blockchain tightly controls access to your data, as only authorized individuals can view or modify specific information. So, insider threats and unauthorized access attempts can profoundly drop.

3.2 What Tools Should You Use?

  • Blockchain-as-a-Service (BaaS) platforms can simplify the process of blockchain application building and management without extensive infrastructure setup.
  • Decentralized finance (DeFi) tools eliminate traditional intermediaries when you want to use financial services, e.g., lending, borrowing, and trading.
  • Combining blockchain with artificial intelligence (AI) creates a powerful boost for your business by making productive processes and smooth operations.

How Blockchain works | Comidor4. Upgrade Your Production with Digital Twin Technology

The year 2024 will see digital twin technology becoming more than just a futuristic concept. Businesses across industries are leveraging their power to drive tangible benefits.

Digital twin virtually represents an object or system, spanning its lifecycle. The technology uses real-time data updates, simulation, and machine learning to support the process of your product design and production.

4.1 Why Should You Use Digital Twin Technology?

  • Better product research and development (R&D): Digital twin technology allows you to test new designs and processes in a safe, virtual environment before physical implementation. Thus, it alleviates the process of product research and design in terms of its features and necessary refinements.
  • Effective process creation: Digital twin technology can simulate different production systems, which eases your monitoring and selection of which models bring the highest efficiency.
  • Optimizing energy consumption: Digital Twin supports you in tracking and analyzing energy usage to identify and implement efficiency measures. It also stimulates different scenarios to optimize production processes for sustainability.

4.2 What Tools Should You Use?

  • Simulation and modeling tools can accurately model your physical systems’ behavior, incorporating physics-based simulations and scenario testing for robust predictions.
  • Data analytics and visualization tools transform raw digital twin data into actionable insights, providing data cleaning, analysis, visualization, and predictive capabilities.

Robotic Process Automation vs Artificial Intelligence | Comidor Platform5. Implement a Cybersecurity Mesh Architecture

Cybersecurity Mesh Architecture (CSMA) is a collaborative and dynamic approach to ensure security across your business on digital platforms. You can think of CSMA as a web of interconnected and resilient defense against modern cyber threats.

The Gartner Report showed companies adopting a CSMA with security tools will undergo around 90% less financial impact by individual security incidents by 2024. Such an insight puts the cost-related benefits in the limelight. Is it all about its benefits?

5.1 Why Should You Implement a Cybersecurity Mesh Architecture?

  • Comprehensive and proactive protection: CSMA’s distributed security fabric shows considerable advantages over traditional walls. The collaborative and interconnected ecosystem adapts to new threats faster and shares intelligence in real time.
  • Consistent enforcement and optimal security posture: Its centralized dashboard enables you to monitor security policies and configurations across all connected solutions while quickly detecting cyber threats.
  • Building up your customers’ trust: The robust and proactive adaptation to ransomware and supply chain vulnerabilities by CSMA can emphasize your commitment to customers’ data protection and security.

5.2 What Tools Should You Use?

  • Identity and Access Management (IAM) is a centralized solution for managing user identities, enforcing access controls, and enabling single sign-on (SSO) and multi-factor authentication (MFA).
  • Security Information and Event Management (SIEM) refers to a platform for collecting, analyzing, and correlating security data from various sources to detect threats and anomalies.
  • Zero Trust Network Access (ZTNA) replaces traditional VPNs with secure, application-level access to resources based on user identity and device posture.
  • Cloud Security Posture Management (CSPM) tools can monitor and manage cloud security risks, ensuring compliance with regulations and best practices.

web and cyber risk data- image 26. Facilitate Data Integration

Data integration, as its name suggests, collects data from multiple sources across your business in one place for a holistic, accurate, and real-time dataset.

6.1 Why Should You Start Data Integration in 2024?

  • Reduced errors and redundancies: Data consistency across systems minimizes duplication and human errors, saving time and resources.
  • Improved resource allocation: You can gain real-time insights into resource utilization to optimize staffing, inventory, and budget allocation.
  • Making better decisions: Data integration provides a more comprehensive view of your business or organization. So you can identify underlying trends, patterns, and issues to take timely actions.
  • Effective business management: Information sync across various sources helps you take better control and management of your business.

6.2 What Tools Should You Use?

  • ETL (Extract, Transform, Load) tools move data from sources to a destination, often a data warehouse, while cleansing and transforming it.
  • Data Integration Platforms as a Service (iPaaS) are cloud-based platforms for connecting and integrating applications and data sources.
  • Real-time data integration tools handle high-volume, fast-moving data streams for real-time analytics and decision-making. For example, an ecommerce POS is a popular tool to sync your eCommerce databases between online and offline stores.

what is low-code agility | ComidorConclusion

The six modern business solutions above will provide your business with a competitive edge in 2024 and beyond because of their superior functionalities. We hope our thorough guidelines can equip you with essential information. As a result, you can effectively apply them to improve your business.

Being updated and having experts’ consultancy are two important factors to keep your business thriving in this competitive market. Contact us to have expert support with personalized vertical solutions to enhance your business management and development today.

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Staying Cybersecure: Using Web and Cyber Risk Data for Automated Safety Solutions https://www.comidor.com/blog/artificial-intelligence/web-cyber-risk-data/ Wed, 24 Jan 2024 14:02:56 +0000 https://www.comidor.com/?p=37779 The post Staying Cybersecure: Using Web and Cyber Risk Data for Automated Safety Solutions appeared first on Comidor Low-code Automation Platform.

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For every organization with a digital presence, staying ahead of threats and vulnerabilities has become imperative. The traditional methods of manual monitoring and threat detection are no longer sufficient in the face of increasingly sophisticated cyberattacks. This is where fusing web and cyber risk data with intelligent automation models comes into play.

In this guide, we’ll explore how the synergy between these data sources and automation technologies is reshaping the cybersecurity landscape. We’ll unpack the process of training intelligent automation models to enhance security, protect sensitive information, and mitigate risks effectively. 

1: The Power of External Data 

The Richness of Web Data 

Web data is a huge category of external data, for which there’s constant demand and an almost endless range of applications. Web data refers to anything relating to internet content, online activity, and digital conversions. Cyber risk data is widely considered a subcategory of web data. Web data also encompasses social media activity, most often conversations, trends, and mentions related to your organization. A huge amount of web data is made up of publicly available information. This includes news articles, blog posts, and forums discussing your industry. Web data about cybersecurity can also include open-source intelligence (OSINT). This is data from public sources that may reveal potential threats.

Lastly, web data can be collected from online forums and communities. These are common places where cybercriminals may discuss tactics and targets.

Understanding Cyber Risk Data 

Cyber risk data encompasses a wealth of information about potential threats, vulnerabilities, and historical attack patterns. This data is a goldmine for organizations looking to fortify their cybersecurity defenses. It includes threat intelligence, i.e. information on known threats, malware, and attack vectors. There are also vulnerability databases, which detail potential chinks in the armor of cybersecurity software and systems. Similarly, cyber risk data can include incident reports that document past security incidents and breaches. Lastly, data is monitoring the dark web. This shares insights into illegal online activities that may target your organization.  

The Convergence of Web and Cyber Risk Data 

Combining web and cyber risk data provides the clearest view of the threat landscape. By combining these data types, organizations can gain deeper insights into potential vulnerabilities. This holistic approach is essential for proactive cybersecurity, and for training reliable automation models. Which brings us to part 2: intelligent automation models. 

web and cyber risk data- image 12: Intelligent Automation Models 

What Are Intelligent Automation Models? 

Intelligent automation models are powered by Artificial Intelligence (AI) and Machine Learning (ML). They’re designed to mimic human decision-making processes. They can analyze vast amounts of data, learn from it, and make informed decisions autonomously. In the realm of cybersecurity, these AI models are game-changers. Let’s look at exactly why.

Benefits of Intelligent Automation Models 

Intelligent automation models offer several key benefits for cybersecurity. The main benefit of any automation is speed. Intelligent automation models can analyze data in real time, enabling rapid threat detection and response.

A second huge benefit of intelligent automation models is accuracy. Automation reduces the risk of human errors in threat identification, which is critical when it comes to spotting potential breaches ahead of time.

Automation is also favored because of its scalability. These models can handle large volumes of data without increasing overhead costs. This is in contrast to earlier, manual processes, where multiple employees were required to execute tasks. The human approach comes with salary and HR costs, whereas automated alternatives don’t entail these financial and logistical considerations. 

A final, often overlooked benefit of intelligent automation models is that they offer continuous learning. They improve over time the more data they ingest. This means they’re better adapted to evolving threats, including new viruses or malware as and when they emerge.  

Convinced that AI models are the way to go for cybersecurity? Then read on: next, we’ll explain the steps involved in training them.  

3: Training Intelligent Automation Models 

Data Collection and Preparation 

The first step in training intelligent automation models is collecting and preparing data. This begins with arranging your data sources. You can gather both cyber risk data and web data from external platforms like data marketplaces. Before purchasing from an external data vendor, you should ask for a sample. This way, you can ensure that the data is clean and structured. Then comes data labeling. Here, you annotate data to indicate whether it’s related to threats, vulnerabilities, or benign information. Lastly, do any remaining data cleaning. Cleaning entails removing duplicates, irrelevant data, and outliers to ensure the model’s accuracy. Once your data is prepared, you can decide which kind of intelligent automation model you’d like to train. 

Model Selection 

Selecting the right model for your use case is crucial. Broadly speaking, there are three types of models, each of which has different methods of learning and so is used for different cybersecurity reasons. 

  • Supervised Learning: Suitable for classifying threats, vulnerabilities, and non-threats. 
  • Unsupervised Learning: Useful for identifying emerging threats or anomalies in data. 
  • Reinforcement Learning: Applicable for dynamic threat response.

Ultimately, the best model to choose depends on the specific safety solution you need. For example, if you need an ongoing cybersecurity solution, a reinforcement learning model is probably best because it improves over time. In contrast, if you just need to run a one-off audit of your company’s current cybersecurity framework, a supervised learning model will probably suffice. Once you’ve decided on the right model and learning method, the magic can happen. This is where you start training the intelligent automation model so it becomes a functioning cybersecurity tool. 

Training and Validation 

The training process involves feeding the model with the web and cyber risk data you prepared and allowing it to learn. It’s important to use a portion of your web and cyber risk data for training while keeping a separate set for validation. 

The time it takes to train a cybersecurity Machine Learning (ML) model can vary significantly depending on several factors, including:

  • Model Complexity: More complex models, such as deep neural networks, may require longer training times. Simpler models like decision trees or logistic regression generally train faster.
  • Dataset Size: The size of the web and cyber risk dataset plays a crucial role. Larger datasets often require more time for training. However, having a larger dataset can also lead to more accurate models.
  • Hardware: The type of hardware used for training can make a significant difference. Specialized hardware like GPUs (Graphics Processing Units) or TPUs (Tensor Processing Units) can accelerate training times compared to using traditional CPUs.
  • Parallelization: Training can be parallelized to speed up the process. Distributed training across multiple GPUs or machines can significantly reduce training time.
  • Transfer Learning: Using pre-trained models as a starting point can reduce training time for specific tasks.
  • Cross-Validation: Testing the model’s performance on multiple subsets of the data to ensure quality also takes time.

In general, the training process for a cybersecurity ML model can range from hours to several days or even weeks. It’s essential to strike a balance between model complexity, dataset size, and available resources to achieve the desired results within a reasonable time frame. And once that’s done, the model can be deployed, which brings us to our final step.

Deployment and Monitoring 

Once trained, the model can be deployed to monitor and analyze incoming data. This can be done continuously by constantly feeding new data into the model for real-time threat detection. Or you can set up ad-hoc alerting and reporting. This way, you configure the model to trigger alerts or generate reports when it detects potential threats. 

Once deployed, your intelligent automation model is primed for a range of cybersecurity use cases. Let’s look at some of the most common in part 4.  

web and cyber risk data-image34: Cybersecurity Use Cases for Intelligent Automation Models 

Threat Detection and Prevention 

Intelligent automation models excel at threat detection of different kinds. One kind is malware detection. This identifies malicious software and prevents it from spreading. There’s also phishing detection, which spots phishing emails and protects against social engineering attacks. 

Another threat is intrusion, which can be prevented by monitoring network traffic for unauthorized access attempts.

Vulnerability Management 

Organizations stay on top of cybersecurity vulnerabilities through patch management. This means they prioritize and schedule software updates to fix vulnerabilities. Intelligent automation models can speed up this process by providing risk scores so it’s clear which vulnerabilities to tackle first. 

Incident Response 

Intelligent automation aids in incident response, most obviously with incident triaging. This triage system automatically categorizes incidents based on severity and relevance. 

Automation can also roll out a playbook, which executes predefined response actions when specific cybersecurity incidents occur.

All that being said, there are several important challenges to consider when using web and cyber data to train automation models which limit their efficacy as cyber security solutions. We’ll conclude this guide by looking at them. 

5: Challenges When Working with Web and Cyber Risk Data 

Data Privacy and AI Ethics 

Ensure that the web and cyber risk data and its usage comply with privacy regulations and AI ethical guidelines and mitigate biases to maintain the responsible and secure use of Artificial Intelligence.

Model Bias and Fairness 

Monitor models for bias and fairness concerns to avoid discriminatory outcomes. 

Continuous Learning 

Regularly update and retrain models to adapt to evolving threats. 

 Human Oversight 

Maintain human oversight to handle complex and context-dependent situations and remain cyber-safe. 

web and cyber risk data- image 2

Wrapping up

As we hope you’ve learned, integrating cyber risk data and web data with intelligent automation models has revolutionized cybersecurity. Organizations can now proactively identify threats, manage vulnerabilities, and respond to incidents with greater speed and accuracy. As the cyber threat landscape continues to evolve, embracing these technologies is no longer an option. It’s a necessity for safeguarding sensitive information and maintaining a robust cybersecurity posture. By leveraging these tools, organizations can defend themselves against cyber adversaries and ensure the safety of their digital assets. 

5 applications of Artificial Intelligence in decision making

The post Staying Cybersecure: Using Web and Cyber Risk Data for Automated Safety Solutions appeared first on Comidor Low-code Automation Platform.

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Enhancing Efficiency in Business Processes with Data Automation https://www.comidor.com/blog/productivity/data-automation/ Wed, 25 Oct 2023 13:05:48 +0000 https://www.comidor.com/?p=37608 The post Enhancing Efficiency in Business Processes with Data Automation appeared first on Comidor Low-code Automation Platform.

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Many people have heard about data automation, but can everyone explain it and its importance? Data automation can be an effective tool for business development and growth. 

Let’s delve into this article and understand the definition of data automation and its main benefits. 

Understanding the Concept of Data Automation and its Importance 

Data automation means using technology and software to handle tasks related to an organization’s data. It automatically collects, processes, transforms, and analyzes data without humans doing it manually. This helps businesses automate repetitive and time-consuming tasks like data entry and analysis, boosting efficiency, accuracy, and productivity.

Data automation works with different data types, including structured (like flat files and databases) and unstructured (like images, text, voice, and video). It can be applied to various data sources such as internal databases, external databases, cloud-based data, third-party apps, web services, and APIs. 

The global data center automation market size has experienced substantial growth, reaching a staggering USD 7.85 billion in 2022. According to projections, it is expected to surge even further and reach around USD 28.58 billion by 2032 at a compound annual growth rate (CAGR) of 13. 79% during the forecast period from 2023 to 2032. These numbers indicate the rapid advancement and adoption of automation technologies in this sector, demanding cautious consideration and strategic planning for businesses involved in data center operations.

The Benefits of Implementing Data Automation in Your Business Operations 

Data automation is a cornerstone of modern business operations, offering many advantages that transcend industry boundaries. In a world that is becoming more and more data-driven, it acts as the engine powering effectiveness, accuracy, and agility. Processes are streamlined by this game-changing technology, which also enables businesses to utilize their data assets fully.  

The key advantages of utilizing data automation in your business operations are covered in the section below: 

1. Streamlining Workflow Processes 

Firstly, data Automation streamlines workflow processes by automating routine tasks. This means fewer delays and a smoother operation. What does it mean? 

    • Simplifying Complex Tasks 

Complex tasks become manageable with automation. The system can handle intricate calculations and data analysis swiftly.  

    • Reducing Human Error 

With automation, the likelihood of human error is greatly reduced. You can rely on accurate data every time.  

In addition to streamlining your business operations, implementing data automation can be valuable when optimizing your online presence. Pairing data automation with effective Google and Yahoo SEO strategies can help your business reach a wider audience, improve search engine rankings, and drive more organic traffic to your website. 

2. Boosting Efficiency and Productivity 

Automation speeds up routine operations, boosting overall efficiency. Your team can focus on strategic tasks instead of uninteresting ones. What are the benefits in this case? Here are some examples: 

    • Speeding Up Routine Operations 

Routine operations that once required hours or days can now be finished in minutes.

    • Eliminating Repetitive Tasks 

Repetitive tasks are a thing of the past. Automation takes care of them, letting your team do more imaginative work. 

 3. Enhancing Data Accuracy 

Data entry mistakes can be costly. Automation ensures consistency and accuracy. 

    • Minimizing Data Entry Mistakes 

Automated methods decrease the possibility of data entering errors, resulting in more accurate data. 

    • Ensuring Consistency 

In business, consistency is essential. Data automation ensures that procedures are followed consistently.

4. Reducing Operational Costs 

By automating tasks, you cut down on labor expenses and save time and resources.

    • Cutting Down on Labor Expenses 

Reducing the need for manual labor translates into significant cost savings. 

    • Spending less time and money 

Time is money, and automation saves both. Resources can be allocated more efficiently. 

Knowing the main benefits of data automation for business processes, let’s understand what techniques can be used to organize effective data automation. 

Exploring Different Data Automation Tools and Techniques Available

Several tools and techniques are available, so one must choose the most suitable one, depending on their business.  

QR Codes: A Revolution in Data Collection

QR codes have changed how we collect and share information. You see them everywhere, on product labels and in ads. They’re used in many areas, like marketing, managing products, and easy payments. 

However, true magic occurs when we make QR codes do things automatically. This means they can create and read themselves without us doing much. It makes getting information faster and reduces mistakes. How it happens? Scanning a QR code with your phone takes you to a website or an app. That’s where the actual data collection happens. For example, scanning a QR code on a product might take you to a webpage with product details. The website may collect data about your visit, like what product you looked at and when. 

In today’s digital world, QR codes show how making things simple and automatic can make a big difference in how we use data in our everyday lives. 

Comidor offers a QR generator that simplifies the process of creating QR codes from workflow data, requiring no coding. You can just drag and drop the component into the workflow step for quick integration. This functionality streamlines the process, enabling users to swiftly enhance their workflow steps with the powerful capabilities of QR codes, simplifying data management and accessibility in a user-friendly manner.

Workflow Management Systems 

Workflow management systems are crucial in increasing productivity by optimizing procedures and ensuring that activities are completed effectively and within the allocated time range. These systems, which provide an organized method for managing tasks and projects, serve as the foundation of contemporary businesses. 

Collaboration is a cornerstone of successful workflow management. Automation fosters seamless teamwork, enabling teams to collaborate effortlessly and stay synchronized. With automated workflows, team members can easily access the information and resources they need, facilitating a smooth exchange of ideas and tasks. 

However, choosing the right workflow management tool is paramount. Factors such as scalability, ease of integration with existing systems, and adaptability to your organization’s unique needs must be carefully considered. The selection of the right system can make a significant difference in optimizing workflows and driving overall operational efficiency.  

Predictive Analytics and Machine Learning  

Thanks to machine learning and predictive analytics, organizations make data-driven decisions differently. Predictive data analysis, a fundamental element of machine learning, equips businesses with the ability to predict trends and potential outcomes. These insights serve as invaluable compasses, guiding strategic decision-making. 

What’s particularly remarkable is the adaptability of machine learning models. They swiftly adjust to evolving data patterns, ensuring that decision-makers always use current and precise information. This adaptability significantly boosts the efficiency and accuracy of automated processes. 

For firms, incorporating predictive analytics into decision-making has the potential to be revolutionary. The ability to see the future gives decision-makers a crucial advantage. They are better able to make decisions that align with the organization’s goals because of this foresight. In an era where data holds supreme importance, machine learning and predictive analytics emerge as potent tools in the toolkit of informed decision-making, driving innovation and enhancing competitiveness. 

Explore Comidor’s Data Automation Capabilities 

Comidor offers a diverse array of low-code data workflow components designed to optimize data input and output. With features such as the comprehensive Comidor DATA functionality for data management (insert, update, and delete), Shell Command execution, File Reader for seamless data insertion, and Export Data capabilities, users can easily handle data operations without extensive coding knowledge. Additionally, the platform facilitates smooth data conversion, document creation through the Document Creator, quick QR code generation, efficient Table Extraction, simplified Excel Processing, dynamic Graph Creation, and secure Blockchain integration, providing a holistic approach to data handling within the platform.

Conclusion: How Data Automation is Evolving with Advancements in Technology

Data automation is a powerful tool for businesses. It helps us work faster and smarter by taking care of repetitive tasks. This saves money and speeds up decision-making. 

It also allows us to use big data, which is crucial information. This improves the quality of our work. Data automation isn’t just about technology; it’s about teamwork and making our work easier. As we progress, we’ll see how data automation and people can work together to achieve outstanding business results. 

About Guest Author:

Elen MesropyanElen is an experienced web content and report writer at LinkyJuice. She has a passion for creating engaging and informative articles. She mainly specializes in SEO-optimized content and IT-related articles. With a background in marketing, she always writes copy that leaves a lasting impact on r 

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How to Keep Workplace Data Management under Control https://www.comidor.com/blog/productivity/workplace-data-management/ Tue, 30 Aug 2022 14:29:31 +0000 https://www.comidor.com/?p=35538 The post How to Keep Workplace Data Management under Control appeared first on Comidor Low-code Automation Platform.

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Data is all around us these days. We keep it everywhere – in the offices and storage rooms, on the cloud, in emails or printed out on our desks, etc. It grows exponentially from the moment when you open a business to the day when it closes.  

IDC has forecasted that, by 2025, the global data sphere will get to 175 zettabytes. Even so, most of the corporate data remain unstructured, and businesses still struggle with workplace data management. 

If you own or manage a business, workplace data management is one of your most critical activities. This article is created to help you with this matter – and teach you how to manage your data properly. 

Consent management: things you need to know

The first and most important thing regarding workplace data management is how you process and store data. If you are handling sensitive customer information, it is your obligation to keep it safe and require consent to store or use it. This is not only vital for the success of your brand, but it will also keep you out of big legal troubles.  

There are things you need to know about the consent management process like different rules and regulations that you need to apply, as well as their importance, and actionable data on how you can ask and comply with consent requirements. 

Workplace Data Management 3 | ComidorAt the most basic level, consent management of data tells your customers how you’ll collect and use your data. It is the user’s choice to decide whether or not they’ll give you consent or refuse it. Compliant consent management for businesses consists of implementing many practices but most importantly, your framework needs to ensure compliance with existing data privacy laws.  

It is not just the consumer that demands transparency in privacy and data today – it is also the laws in the states and countries where you do business. Research shows that consumers are very careful these days, and 87% of respondents don’t do business with a company that gives away sensitive data without asking for permission. 

Data storage: plan your workplace data management carefully

Workplace data management depends greatly on where you’ll put that data. Let’s say that you’ve taken all the necessary measures to get consent. You’ve collected some information. Where do you store it? Will your storage be safe and easily accessible? Will it hold all the data you have? 

Workplace Data Management 2 | ComidorYou have two options for this – you can keep your data inside the company or use a cloud-based system. If you decide to keep it inside, you can choose to store it in a physical form i.e. printed documentation, or in a program.  

The idea is to choose a secure and accessible solution, as well as have a backup plan. Many businesses combine different places to store that data. You could pick a quality cloud platform to back up the data you store in your offices, or keep some of your documentation offline in a different location. 

Prioritizing data security above all

Even if you have consent to collect, store and use data, it is still your responsibility to make sure that information is safe. Data must be secured. That’s what your reputation depends on, and so does the survival of your business.  

If you decided to collect data including personal information, banking details, and more, you need to prioritize its security above all. Regardless of where you store it – physically or virtually, you need to find ways to keep it safe.  

One good option for this is data encryption. This will ensure that, in the case where your system is hacked, the hacker won’t be able to encrypt the information without the code that only you have.  

That being said, make sure to invest in multi-layered security. What does this include? 

It includes multi-factor authentication, firewalls, and anti-virus software. And, of course, don’t forget to invest in regular security training for your company’s team.

Safeguard against data loss

Sometimes you do your best and add many barriers for criminals and yet, they find a way to get to your data. Even the most successful and wealthy businesses have been victims of cyber attacks.  

Workplace Data Management 1 | ComidorBut, have you come up with a solution to a potential hack of workplace data? 

The solution is backup. In case your data gets stolen – or even lost, you should have a way to retrieve it. Back it up in the cloud, but also put it on external storage tools like hard drives or USB drives, or save it on network-attached storage.  

Smart maintenance: set a regular schedule for the management of data

The potential risks to your data can grow bigger with time unless you set a regular maintenance schedule. The things that were secure yesterday can be very vulnerable today. If you want to keep workplace data management under control, you need to properly maintain your systems to detect and eliminate any risks of a breach. 

Wrapping up

Management of data requires many strategies, tools, and a lot of effort on your behalf. Data is one of the biggest parts of your company, which means that your success and reputation depend on how you handle this. Hopefully, this article helped you to create an effective workplace data management strategy.

Author bio
Nadica Metuleva is a freelance writer who’s passionate about creating quality, original content. She holds a Master’s degree in English teaching and a Bachelor’s degree in translation. With 8 years of experience in the freelance writing industry, Nadica has become proficient in creating content that captivates the audience, drives growth, and educates.

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Getting Started with Comidor Units (Data Management) https://www.comidor.com/help-center/general-features/units-data-management/ Thu, 17 Nov 2022 11:41:55 +0000 https://www.comidor.com/?p=35283 Getting Started with Comidor Units Comidor User Interface offers maximum flexibility in terms of data management in Comidor Units and safeguards enterprise information. Comidor search function in each unit provides a powerful method of searching for data. Apply Comidor’s advanced filtering options and search for a simple record or records with specific criteria and export […]

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Getting Started with Comidor Units

Comidor User Interface offers maximum flexibility in terms of data management in Comidor Units and safeguards enterprise information. Comidor search function in each unit provides a powerful method of searching for data. Apply Comidor’s advanced filtering options and search for a simple record or records with specific criteria and export or print the results easily.

Comidor is designed in a comprehensive way for any user. Menus, Filters, Icons, Buttons, and Lists all are designed and arranged in a way that allows the users to focus on their tasks and priorities rather than spending their valuable time trying to navigate the system. Comidor also provides Business Intelligence tools such as Data Visualization and Reporting Tools.

In all table Comidor Units, users view the following functionalities:

  1. Click on the + icon to create a new record (i.e. a new Project, Task, Process, etc.)
  2. Click on the Actions icon to view a list of extra functions such as printing, exporting, reporting, notifying, etc. The actions that are offered in each Unit vary.
  3. The search field provides a dedicated search to the object currently being viewed and with the Advanced search users apply multiple criteria for a complex search. The users click on the refresh icon to update the results or on the edit button to create their own advanced search and save it for later use.
  4. Show or hide the views, filters, and groups by clicking the Categories icon.
  5. Switch the View type from Table to Report, and get a graphical presentation of your data. Choose your preferred Graph type between Pie, Stack, or Column. Print or download your graphs in various formats (PDF, PNG, JPG, SVG vector).
  6. Through Comidor predefined Filters, the users customize a search based on the Period, State, Access, or Tag that they are interested in. Click on the “O” icon to clear all filters.
  7. The folders section on the left side gives table results by changing criteria that are indexed in records. The users can create their own categorization (folders) by clicking the Pencil and Paper Icon.

data management tables | Comidor Platform

Table View is the default view of Comidor Units and it consists of the following elements:

  1. The Records table gives the list of results that reflect to the searching, filtering, categorization, and pagination selections. Each record of the table has a checkbox that enables a range of actions. The users select the record(s) they wish and the desired action to execute. The available checkbox actions are unit-specific.
  2. Pagination gives the users the option to define the number of records per page and move around pages. Pre-defined number of records is set in User Settings.
  3. The Pin button allows the users to select or deselect the type of information that is shown in each table.
  4. Columns are flexible (sorting, width-fixing, hide/show).

comidor units tables | Comidor PlatformCreate/Edit/View – simple Record Interface:

Click on the + icon to create a new record in the relevant Comidor Unit (i.e. a new Task).

  1. Record Title
  2. Record Fields: Add (or edit) the details of the record.
  3. Record Summary and other tabs: In the Summary/Details tab all critical information of a Record is available to view.
  4. Relations: Here you find tabs with subtables (eg Subprocesses, Subtasks, etc.) and related data to the current record. Each Comidor Unit might have different relations.
  5. Ownership information: Supervisor and Administrators of the Record and the Record creation and last update information; get informed on the users and the date-time of the first and the last action that occurred in this record.
  6. State Status: Set the state status of this record.
  7. Edit Record: Click on the pencil button and get redirected to the edit form of the record. Change or add new information to the record. Click on Actions Button to: Refresh the record, Delete the record, Copy the record, Set up Reminders/Notifications, etc..
  8. Click on the Comments icon to view existing comments in this record, and add your own comments. All users that have access to this record receive an automated notification to their notification bar.
  9. Minimize/Maximize or Close this record and return to the respective table.

comidor units record | Comidor Platform

  • In process records, under Relations users also :
    • Monitor the real-time progress of the workflow steps in Workflow Tasks if a process is linked to a workflow. Also, view all elements that have run in the workflow (tasks, emails, gateways, etc.) in the Workflow Audit tab.
    • Add manual Tasks in a process record, through the Related Tasks tab.
    • Add Files or Relate Files, in the Attachments tab.

comidor units record | Comidor Platform

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Lists, Filters and Process Map (Data Management) https://www.comidor.com/help-center/system-administration/lists-filters-process-map/ Sun, 25 Apr 2021 15:52:55 +0000 http://192.168.1.9:8888/?p=583 List Management helps administer data lists (Categories) which are used in other modules. All Comidor users can create public category Lists (i.e. Account categories). Users with system administration rights have the overall authority to view, correct, edit, or delete Lists. Create a new List To add a new category or a new Type go to […]

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List Management helps administer data lists (Categories) which are used in other modules. All Comidor users can create public category Lists (i.e. Account categories). Users with system administration rights have the overall authority to view, correct, edit, or delete Lists.

Create a new List

  1. To add a new category or a new Type go to a Comidor List in any Comidor Unit and click to view the List content
    • Click on Add to add a new category or type. Add a Category Name

      add new list v.6| Comidor Platform
    • To add the category as a core category click on Save. To add as a sub-category click to select the Parent Category or any sub-category (all categories are ordered in a tree-mode) then click Save

add category v.6| Comidor Platform

To add a new list/category from list management, click on:

  1. My Company > Data Management > Lists
  2. Click on the ‘+’ icon to create a new category
    • Add a Name for the new list, a Code (which is the category path) and its Value
    • Select the desired Save option (refer to Quick Reference Guide)add new list-category v.6| Comidor Platform

Edit and Manage a List

To edit or manage a list click on:

  1. My Company > Data Management > Lists
  2. Click on a list
  3. Click on the Pencil Icon to edit the List’s value
    • Change the List’s value and click on save to proceed
  4. Click on the Actions Icon and select to delete the list. A confirmation pop-up box appears

Manage multiple Lists

To manage multiple lists click on:

  1. My Company > Data Management > Lists
  2. Select multiple lists from the table to:
    • Delete them (a confirmation pop-up box will appear)
    • Mark as protected which will make these lists viewable only to internal Comidor users but not to Guest users (who have access only to public data)

Manage multiple Lists v.6| Comidor Platform


Filters

Create a new Filter

  1. You can create a new filter by clicking on the advanced search icon which is available in every table in Comidor

advanced search v.6| Comidor Platform

  1. Fill in the filters with the required criteria and click on Execute to update the record list. You can use filters, fields, or operators (=,>,<, >=, <=, !=). Create a combination of conditions using the AND and OR criteria

advanced search - filters v.6| Comidor Platform

 

  1. Click on Clear or Save this filter to re-use it later. A new pop-up window appears. Type a filter name and keep this filter Private or make it Public so others can use it. Click Ok to proceed

filter v.6| Comidor Platform

  1. To load this filter you have to close and re-open the unit you are in and click on the custom filter drop-down list (called Advanced Search) to find and load a filter

Manage Filters

Filter Management is available only to System Administrators users.

Click on:

  1. My Company > Data Management > Filters
  2. In the left panel, you can see folders of the private filters (categorized by creator/owner name) and the public folders (indicated with no name). Clicking on each folder you can see the related filters
  3. Multi-check filters to:
    • Make them public – everyone will be able to use them including guest users
    • Delete them.public- delete folders v.6| Comidor Platform
  4. After selecting a filter you can click on the Actions icon to delete it
  5. Click on the Actions Icon of the Filters table to Print or Export the list

Process Map

The process map helps manage business categories that are used in all types of processes in Comidor (Generic Processes, Opportunities, Projects, Work Packages, Tickets, Surveys, Campaigns, Events, Topics, Issues, Trainings).

Create a new Business Category

To add a new Business Category click on:

  1. Packages > Process Orchestration > All Processes, or:
    • Process Orchestration > Issues
    • People Management > Trainings
    • People Management > Surveys
    • Customer Relations > Opportunities / Campaigns / Tickets 
    • Project Management > Projects
  2. Daily Utilities > Topics or
    • Daily Utilities > Events
  3. Click on the ‘+’ icon to start a new process
  4. Find the field named “Category” and click to expand the process map list
  5. Click on Add to add a new Category. Add the Business Function Name
    • To add it as a core category click on Save. To add as a sub-category click to select the Parent Category or any sub-category (all categories are ordered in a tree-mode). Click on Save

To add a new Business Category from the Process Map click on:

  1. My Company > Business Architecture > Process Map
  2. Click on the ‘+’ icon to create a new business category
    • Add a Name for the new business category, a Code (which is the business category path) and its value
    • Select the desired Save option (refer to Quick Reference Guide)

Edit and Manage a Business Category

Click on:

  1. My Company > Business Architecture > Process Map
  2. Choose a specific business category from the list
  3. Click on the Pencil Icon to edit the business category
  4. Change the value of the business category and click on Save to proceed
  5. Click on the Actions Icon and select to delete the business category. A confirmation pop-up box appears

Manage multiple Business Categories

Click on:

  1. My Company > Business Architecture> Process Map
  2. Select multiple business categories from the table to delete them (a confirmation pop-up box will appear)

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Tags and Links (Data Management) https://www.comidor.com/help-center/management/tags-links/ Mon, 26 Apr 2021 11:21:52 +0000 http://192.168.1.9:8888/?p=573 Comidor Tags and Links enables the connection of diverse records across Comidor (i.e. link a project to an opportunity, add the same tag to a task and a case (e.g. “Customer Acquisitions”). This powerful feature gives users quick and seamless access to information with quick and easy reference and data retrieval. Comidor Tags can be […]

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Comidor Tags and Links enables the connection of diverse records across Comidor (i.e. link a project to an opportunity, add the same tag to a task and a case (e.g. “Customer Acquisitions”). This powerful feature gives users quick and seamless access to information with quick and easy reference and data retrieval.

Comidor Tags can be created by selecting the Tags on the left panel of the screen when in a Comidor Record. The user can create a new tag (or reuse existing ones) and also choose if the new tag will be available as public (users and guest users), internal (all users), within their Organizational Chart group or private.

 

Add and Use a new Tag

  1. To create a new tag select Tags fro the actions icon on the right side of the screen when you navigate in a Comidor Record and add the Tag Name
    add tag v.6| Comidor Platform
  2. Select the Access filter (internal tag, public tag, private tag, specific group tag) and click on Add. Click Close to exit
    access - tags v.6| Comidor Platform
  3. To apply a previously created tag click on the drop-down list, select the required Tag from the list and click on Add. Click Close to exit
  4. To remove a tag that has been already applied click on X next to the Tag. Click Close to exit
  5. Search for Comidor records that use tags by selecting a tag from the Tags list. Records with the requested tag will be displayed

tags filters v.6| Comidor Platform

 

Manage Tags

Tags Management helps administer private, public and group Tags that have been added in Comidor.

Delete a Tag

Go to:

  1. My Company > Data Management > Tags
  2. Click on a Tag
  3. Click on the Actions Icon and select to Delete the Tag. A confirmation pop-up box appears.

Delete multiple Tags

Go to:

  1. My Company > Data Management > Tags
  2. Select multiple Tags from the table to delete them (a confirmation pop-up box will appear)delete tags v.6| Comidor Platform

Manage Tags rights

  1. Go to My Company > Data Management > Tags
  2. Click on a Tag
  3. Click on the View/Change Rights Pencil Icon on the left panel. Make Tags available as public (this includes Guest users), internal or to specific groups or people

Links

Links are a powerful way of connecting data and enabling users to access relevant data in a very efficient manner.

A Comidor Link can be created by clicking Links on the actions icon on right side of the screen when viewing a Comidor Record.

  1. If no Links have been added a blank pop-up window opens. Click on Link with and search for a word or phrase to find the related element for a required link. Memos and Files can also be searched for
  2. The search results will appear indexed on the left panel of the screen for easier navigation
  3. The user clicks on the connector-icon of the element of the required link – this creates the link
  4. Links are available from both Comidor elements (“Customer ABC” is linked with the “Partner XYZ”). Links are now available from both Comidor elements (“Customer ABC” is linked with the “Partner XYZ”).
  5. Links can be removed by clicking on X

In order to see already added links, click on the respective icon on the top right of each entity.add links v.6| Comidor Platform

  • Click on the Tables on the left to see the linked entity you wish (emails, processes, etc)
  • Select the linked entity you wish and you will be redirected to a new tab of this entry
  • Click on – to remove this item from links

linked with v.6| Comidor Platform

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