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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 Integrity?

Alation

But almost all industries across the world face the same challenge: they aren’t sure if their data is accurate and consistent, which means it’s not trustworthy. This can cause anything from day-to-day issues to significant business problems and risks. But firstly, we need to look at how we define data integrity.

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Who’s paying your data integration tax?

CIO Business Intelligence

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 integration tax is a term used to describe the hidden costs associated with integrating data solutions to process your data from disparate sources and for different needs.

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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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Why Your Business Needs a Data Backup Strategy

Smart Data Collective

Therefore, to mitigate the risk of losing essential data forever in a data breach or other crisis, every competitive firm should work on its backup strategy to keep such information safe from violation. Now let’s find out why having a working backup strategy is so important. How Often to Perform Backups?

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How to prioritize data strategy investments as a CDO

IBM Big Data Hub

My first task as a Chief Data Officer (CDO) is to implement a data strategy. Over the past 15 years, I’ve learned that an effective data strategy enables the enterprise’s business strategy and is critical to elevate the role of a CDO from the backroom to the boardroom. Mitigating risk.

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Avoid generative AI malaise to innovate and build business value

CIO Business Intelligence

The research cited a lack of talent and skills to work with the technology (62%), unclear AI and GenAI investment priorities (47%), and the absence of a strategy for responsible AI (41%) as the top three obstacles. Reach consensus on strategy. Low-cost proof-of-concepts can help you reduce the risk of overprovisioning.