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Why You Need End-to-End Data Lineage

erwin

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. Data Lineage Tells an Important Origin Story. Who are the data owners?

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

datapine

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

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4 Time-Saving Tips for Real-Time Financial Reporting

Jet Global

That requires financial reports that are full of depth and detail, yet available in an instant. Unfortunately, the traditional reporting process doesn’t lend itself to speed. Accountants have to invest hours of time collecting, integrating, and analyzing data, much of which is from last week, month, or quarter.

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Most organizations have come to understand the importance of being data-driven. To compete in a digital economy, it’s essential to base decisions and actions on accurate data, both real-time and historical. But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes.

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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Dealing with data is where core technologies and hardware prove essential.

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What Is Embedded Analytics?

Jet Global

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. By leveraging data analysis to solve high-value business problems, they will become more efficient. This is in contrast to traditional BI, which extracts insight from data outside of the app.