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An Introduction to Active Data Governance

The way that companies govern data has evolved over the years. Previously, data governance processes focused on rigid procedures and strict controls over data assets. But now, with the data-driven culture, modern enterprises are adopting an agile approach toward data governance that primarily centers around data accessibility and empowering business users to take responsibility for governing and managing data.

A Guide to Automated Data Governance: Importance & Benefits

Automated data governance is a relatively new concept that is fundamentally altering data governance practices. Traditionally, organizations have relied on manual processes to ensure effective data governance. This approach has given governance a reputation as a restrictive discipline. But, as organizations increasingly adopt automation in their governance processes, this perception is changing.

What is API Monitoring? Best Practices to Track API Performance and Metrics

API downtime can cost businesses an average of $140,000 to $540,000 per hour. Maintaining reliable and high-performing APIs has become critical for any digital business’s success, with much at stake. This scenario is where API monitoring steps in. An important part of API management, monitoring API metrics allows organizations to detect issues rapidly and optimize their API performance.

Data Lineage: A Complete Guide

Data lineage is an important concept in data governance. It outlines the path data takes from its source to its destination. Understanding data lineage helps increase transparency and decision-making for organizations reliant on data. This complete guide examines data lineage and its significance for teams. It also covers the difference between data lineage and other important data governance terms and common data lineage techniques.

Data Fabric Implementation: 6 Best Practices for IT Leaders

Trying to integrate data without knowing your starting point is like taking a road trip without a map—you’re bound to get lost. To navigate the challenges of data integration, IT leaders must first evaluate their current data setup. This means taking stock of all your data sources, understanding their quality, and identifying integration points. It’s like conducting a thorough inspection before renovating a house; you must know what you’re working with.

Simplified Integration: Unveiling the Latest Features in WSO2 Low-Code Integration Products

Embark on a journey through the evolution of WSO2 integration products, showcasing their renowned and battle-tested runtime, refined through thousands of deployments over a decade. In 2024, we're undergoing a transformative shift, prioritizing an enhanced development experience while maintaining the robustness of the runtime.

Astera's Guide to Marketing Data Integration and Governance

Customer data provides a treasure trove of insights into their behavior and preferences. Marketers must leverage this information to drive strategic decisions and optimize marketing campaigns. Analysts must consolidate fragmented data across various systems to use customer data effectively. With proper data integration and governance, marketers can effectively transform their data assets into insights that inform their decision-making.

Handling complex integrations through custom connectors

Integrations can be done efficiently with IPaaS tools. Quickly set up point-to-point connectors, add logic and orchestration, and the integration is done and configured. The difficulty comes with more custom and bespoke systems. For example, when custom fields are added to an ERP or CRM, when you need to integrate with a legacy system, or when there is no connector to interact with. Linx can assist in cases where high flexibility and customization are required.

6 Critical Features of Enterprise Intelligence Solutions

Data is the lifeblood of businesses. But the vast amount of data businesses accumulate makes it difficult to turn that data into actionable insights. Enterprise intelligence solutions offer a system for collecting, managing, analyzing, and monitoring your process and business data. A good enterprise intelligence solution empowers organizations to make informed, data-driven decisions, enhance operational efficiency, and maintain a competitive advantage.