In today’s data-driven business landscape, data quality – the availability of usable and business-ready information – remains a significant and worsening challenge for many organizations. To mitigate these effects, businesses need swift resolution of data issues with transparent and trustworthy information. However, in our fast-paced digital environment, complex data architectures with more system variables make it difficult to understand the problems. […]
What Is Data Trust and Why Does It Matter?
A batch processing system fails on the eve of a company’s deadline for monthly reports, threatening the accuracy of its financials. One of the two systems powering the dashboard of a global supply chain company crashes, and a manager overbooks a transport ship because it displays inaccurate data, causing a costly delay in a customer’s […]
Demystifying Metadata Management for Tech and Business
Metadata is of critical interest in today’s data-driven business environment, and there is a growing awareness of the need for both business and technical users to embrace it, says Donna Burbank, Managing Director of Global Data Strategy and author of “Data Modeling for the Business” and “Data Modeling Made Simple.” Speaking at a previous Data Architecture Online conference, Burbank talked about practical […]
Building a Successful Data Quality Program
Creating a successful Data Quality program is essential for any organization seeking to use their data for improving efficiency and better decision-making. Data of poor quality can result in decisions that damage the business. Building a successful Data Quality program helps to ensure the data is of the highest quality, making it both useful and […]
Metadata Management Tools
Metadata management tools are considered an increasingly important part of a data-driven organization’s overall software collection. These tools help businesses make better decisions by providing useful context and insights about their stored data. Metadata management tools can also be used to improve the customer experience and keep customers longer. Additionally, they allow non-technical users to […]
Data Lineage Tools: An Overview
Data lineage is the process of tracking and tracing data from its origin to its destination. It provides a detailed understanding of how data moves through an organization’s systems, applications, and processes. Organizations can use this information to maintain Data Quality, ensure regulatory compliance, and improve decision-making. Data lineage also helps organizations identify potential bottlenecks and inefficiencies […]
Maximize Data Impact with an Effective Data Lineage Strategy
High-quality data can produce powerful insights that enhance decision-making. For data-driven organizations, this leads to successful marketing, improved operational efficiency, and easier management of compliance issues. However, unlocking the full potential of high-quality data requires effective Data Management practices. That’s why a robust data lineage strategy is essential – it helps increase information utility and maximize data […]
Data Lineage Use Cases
Data lineage can be described as a historical map of data’s journey within an organization. Use cases, in general, provide an example of how services or techniques can be used, and data lineage use cases are situations in which a form of data lineage can be used. Data lineage tools make tracking the data’s lineage […]
Fundamentals of Metadata Management
Metadata powers effective action on information by providing context, content, and structure. When this information is managed well, data consumers can find and get the correct data they need. As Atlan Prukalpa Sankar states, “Metadata is the glue that can bind the modern data stack together, the layer that will allow increasingly diverse, siloed tools and people to collaborate effectively.” Grasping the […]
Graph Database Use Cases
One of the primary advantages of using a graph database is the ability to present the relationships that exist between datasets and files. Much of the data is connected, and graph database use cases are increasingly helping to find and explore these relationships and develop new conclusions. Additionally, graph databases are designed for quick data […]