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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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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

What attributes of your organization’s strategies can you attribute to successful outcomes? Seriously now, what do these word games have to do with content strategy? Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient.

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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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What Is Data Integrity?

Alation

But in the four years since it came into force, have companies reached their full potential for data integrity? But firstly, we need to look at how we define data integrity. What is data integrity? Many confuse data integrity with data quality. Is integrity a universal truth?

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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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Drive Growth with Data-Driven Strategies: Introducing Zenia Graph’s Salesforce Accelerator

Ontotext

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. We believe in building partnerships with our clients to ensure their success.

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3 Huge Reasons that Data Integrity is Absolutely Essential

Smart Data Collective

However, your data integrity practices are just as vital. But what exactly is data integrity? How can data integrity be damaged? And why does data integrity matter? What is data integrity? Indeed, without data integrity, decision-making can be as good as guesswork.