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Accelerating your transition from traditional BI to advanced analytics with data intelligence

Collibra

What is advanced analytics? The term “advanced analytics” gained widespread recognition in the fields of data analysis and business intelligence (BI) during the early 2000s. Today, advanced analytics encompasses a broad array of techniques and methodologies used to extract deep insights from data.

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Past, present and future in a digital transformation journey

OpenText Information Management

According to Gartner, a digital transformation includes information technology modernization, adoption of cloud computing, … The post Past, present and future in a digital transformation journey appeared first on OpenText Blogs. The objective is often tied to cost leadership, increased competitiveness or simply moving into a niche.

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4 governance warning signs when reviewing presented analytics

Information Management Resources

Why it’s dangerous to always assume that presented data is representative, four warning signs that you’re dealing with sweetened data, and how you can generally guard against trickery.

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AI Governance: Break open the black box

IBM Big Data Hub

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Customers, employees and shareholders expect organizations to use AI responsibly, and government entities are demanding it. The solution: AI Governance.

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Top 4 takeaways from the Gartner Data and Analytics Conference

Collibra

Last week I attended the virtual Gartner Data and Analytics Summit. This conference brought together data and analytics leaders from top industries such as government, banking, financial services, insurance, and manufacturing. Gartner emphasized and reiterated the concept of adaptation in a number of presentations.

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AI Governance: Solving the data-centric versus model-centric debate

Collibra

They say, “Bob or Mary is ensuring good data management with governance, quality, lineage. The broader, wider, data domain led to a pertained foundational model that now seems like it knows a little bit about everything, and can talk about everything very eloquently and in any written style you can imagine — from analytical to poetic.

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Unlocking the power of data governance by understanding key challenges

IBM Big Data Hub

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Combining or linking data assets across multiple repositories to gain greater data analytics and insights requires alignment.