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Using Data to Adapt Your Workforce

Sisense

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adjusting to meet these changes. Key to all this is data, and those organizations that are data-driven have been on the leading edge of these changes. Using data today to build tomorrow’s workforce.

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The Value of Data Governance and How to Quantify It

erwin

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. But looking through the blogosphere, some go further and posit that “platformization” of forecasting and “forecasting as a service” can turn anyone into a data scientist at the push of a button.

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Invest in a Data Culture or Fall Behind: Q3 2021 State of Data Culture Report

Alation

It’s been one year since we’ve started publishing the Alation State of Data Culture report, and uncertainty still remains the only sure thing. Yet, through it all, organizations that rely on, and invest in, building a data culture have consistently outperformed those who don’t. Ignore Data at Your Peril. It’s obvious.

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Five Types of Budgets: Which One is Right for You

Jet Global

As such, business leaders must be careful not to take the principles of ABB too far. You could discount or overlook departments that fail to produce specific, measurable outcomes in service of the company’s strategic objectives in the process. Today’s global economy calls for business agility.

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What Is Embedded Analytics?

Jet Global

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. that gathers data from many sources. These systems are designed for people whose primary job is data analysis.