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What is data governance? Best practices for managing data assets

CIO Business Intelligence

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

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Managing risk in machine learning

O'Reilly on Data

At the recent Strata Data conference we had a series of talks on relevant cultural, organizational, and engineering topics. Here's a list of a few clusters of relevant sessions from the recent conference: Data Integration and Data Pipelines. Data Platforms. Model lifecycle management.

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CIO insights: What’s next for AI in the enterprise?

CIO Business Intelligence

CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. The top brass is paying close attention.

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What is Integrated Business Planning (IBP)?

IBM Big Data Hub

The term ‘IBP’ was introduced by the management consulting firm Oliver Wight to describe an evolved version of the sales and operations planning (S&OP process) they originally developed in the early 1980s. Strategic planning Integrated Business Planning starts with strategic planning.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT. Following are seven steps to guide this transformation for competitive advantage.

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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

The answers to these foundational questions help you uncover opportunities and detect risks. Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Semantic model management – events schema and instance management as well as taxonomical alignment.

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Are Data Governance Bottlenecks Holding You Back?

erwin

However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. It also makes it easier for business analysts, data architects, ETL developers, testers and project managers to collaborate for faster decision-making.