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Case study: Policy Enforcement Automation With Semantics

Ontotext

Data leaders today are faced with an almost impossible challenge. Particularly those on the “the create side of the house” who are tasked to deliver insights and analytics. Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points.

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A Look Back at the Gartner Data and Analytics Summit

Cloudera

All of that technology, though, depends on data to be successful. In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular.

Analytics 104
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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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5 key metrics for IT success

CIO Business Intelligence

The result is wasted time, confusion, and, in some cases, conflicting insights. Most companies think of failure as something they want to avoid, but really fast-changing organizations understand failures as a step towards success.” Metrics provide a means to monitor progress.”

Metrics 140
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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become table stakes. Five years ago they may have. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Transform the modern data center: From today to the future

CIO Business Intelligence

A seismic shift is underway in the evolution of the data center, driven by a variety of converging factors. How can you ensure that modernization efforts lead to increased agility, adaptability, and a competitive edge while also prioritizing sustainability? As IT leaders, understanding the path forward is crucial.

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Leveraging AI to discover and classify your data in a complex and dynamic landscape

Laminar Security

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.