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AIOps reimagines hybrid multicloud platform operations

IBM Big Data Hub

Specifically, AIOps uses big data, analytics, and machine learning capabilities to do the following: Collect and aggregate the huge and ever-increasing volumes of operations data generated by multiple IT infrastructure components, applications and performance-monitoring tools. Predictive analytics to show what will happen next.

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Five Steps for Building a Successful BI Strategy

Sisense

Most companies find themselves in the bottom left corner, in the Descriptive Analytics and Diagnostic Analytics sections. You likely already have some form of scheduled reports, are drilling down into your data, discovering what is in your data, and may even be visualizing to some extent. Do you want to be more efficient?

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Getting Started With People Analytics

Sisense

In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. As companies digitally transform and become data-driven, each department and team needs to find its own ways to embrace data and insights to make smarter decisions. Operational analytics.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

What is unique about the D&A Leadership Vision is that it crossed over into business since for many organizations, the CDO reports into the CEO or COO (as examples). The fill report is here: Leadership Vision for 2021: Data and Analytics. CAO, and even where the CAO reports into a different organization.

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What Is Data Intelligence?

Alation

For years, analysts in enterprises had struggled to find the data they needed to build reports. Cloud Transformation. Digital Transformation. They said, “If I’m building a report for an executive audience, to guide crucial decision making, I want to make sure the data foundations in that report are solid!”.