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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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What is data governance? Best practices for managing data assets

CIO Business Intelligence

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.” Such a framework provides your organization with a holistic approach to collecting, managing, securing, and storing data.

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How Data Cleansing Can Make or Break Your Business Analytics

Smart Data Collective

This market is growing as more businesses discover the benefits of investing in big data to grow their businesses. Unfortunately, some business analytics strategies are poorly conceptualized. One of the biggest issues pertains to data quality. Data cleansing and its purpose.

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How Data Ethics Supports Governance & Monetisation

Alation

I raised the Cambridge Analytica Scandal and pointed out how it is often only when these stories hit the news that people question the ethics behind how companies are using data. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical. Data Value. The mandate.

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Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

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A step-by-step guide to setting up a data governance program

IBM Big Data Hub

Policies provide the guidelines for using, protecting, and managing data, ensuring consistency and compliance. Process refers to the procedures for communication, collaboration and managing data, including data collection, storage, protection, and usage.

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Don’t Fear Artificial Intelligence; Embrace it Through Data Governance

CIO Business Intelligence

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Addressing the Challenge.