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The Importance of Managing Your Metadata

Dataversity

But like any complex system, the architectures that utilize big data must be carefully managed and supported to produce optimal outcomes. The post The Importance of Managing Your Metadata appeared first on DATAVERSITY. The post The Importance of Managing Your Metadata appeared first on DATAVERSITY.

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CRM’s Have a Big Data Technical Debt Problem: Here’s How to Fix It

Smart Data Collective

Customer relationship management (CRM) platforms are very reliant on big data. First of all, Salesforce orgs [accounts] need to be highly customized in order to address important business requirements,” states Mercer. Complex Salesforce orgs can work just fine if they are properly managed. What is technical debt anyway?

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Unlocking the Value of Data: A Comprehensive Guide to Data Profiling

Analysts Corner

In the era of data-driven decision-making, understanding and managing the quality of data is crucial. As organizations increasingly rely on data to drive their operations, strategy, and innovation, ensuring data integrity and usability has never been more important. This is where data profiling comes into play.

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What Is a Business Glossary? Definition, Components & Benefits

Astera

A solid understanding of internal technical and business terms is essential to manage and use data. Metadata: Descriptive information that offers insights about the data, including its structure, location, and accessibility. Provide quick access to clear definitions for effective communication in daily operations.

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What Does Data Archiving Bring To Healthcare Intelligence?

Smart Data Collective

What few of these groups know how to reckon with, though, is how to best manage data that’s no longer in use – particularly data from systems the organization has since retired. This can apply to any of the major data management systems used in healthcare , from EHRs to medical imaging platforms and opioid use monitoring platforms.

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Understanding the Differences Between Data Lakes and Data Warehouses

Smart Data Collective

Data lakes are much more flexible as they can store raw data, including metadata, and schemas need to be applied only when extracting data. Another important factor to consider when choosing between data warehouses or lakes is your organization’s existing technology ecosystem. Data Warehouses and Data Lakes in a Nutshell.

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Putting the Business Back Into Business Innovation

Timo Elliott

It’s not just a technology toolbox, it’s a platform designed to accelerate innovation and unleash your business potential. It’s all about the “B” in BTP: it provides a business-focused set of services, across one or more of your strategic cloud hyperscalar partners. So how do organizations do that? Business Process.