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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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Breaking down Business Intelligence

BizAcuity

Now, businesses, regardless of the industry, are leveraging data and Business Intelligence to stay ahead of the competition. Business Intelligence. In brief, business intelligence is about how well you leverage, manage and analyze business data. Data Integration.

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What you need to know to accelerate your cloud and data strategy

CIO Business Intelligence

Before organizations map an architectural approach to data, the first thing that they should understand is data intelligence. Want to know how top-performing companies are approaching aspects of cloud strategy? CIO Sarah Betadam led a three-year journey to becoming a fully functional data-driven enterprise.

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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

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Who’s paying your data integration tax?

CIO Business Intelligence

We all know that dealing with taxes can be a complicated and frustrating process, especially for those who have their own businesses or generate investment income. Though we know who’s paying your income taxes this April (sorry to rub it in: it’s you), we have to ask: Who’s paying your data integration tax? Data Management

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Data architecture strategy for data quality

IBM Big Data Hub

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Practice proper data hygiene across interfaces.

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Estes Express shifts gears on customer experience by streamlining data operations

CIO Business Intelligence

To fuel self-service analytics and provide the real-time information customers and internal stakeholders need to meet customers’ shipping requirements, the Richmond, VA-based company, which operates a fleet of more than 8,500 tractors and 34,000 trailers, has embarked on a data transformation journey to improve data integration and data management.