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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.

Strategy 136
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AT&T Becomes the Latest Company Affected by Data Breach

CTOvision

The urgency of improving information security cannot be understated. Since the widely publicized attack on Target Corporation, data breaches have become increasingly common – sensitive information stored with both eBay and the California Department of Motor Vehicles has been compromised in the last six months alone.

Company 268
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Steps CIOs should take to protect customer data in Nigeria’s open banking systems

CIO Business Intelligence

And at its core is the need to secure customer data through a robust set of requirements. The regulations streamline how entities who handle customer banking information will secure their systems and share details within protected application program interfaces. Securing customer data.

Banking 119
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Top considerations for data modernization initiatives

CIO Business Intelligence

Most organizations are already well under way with their digital transformation journeys, particularly data modernization. For most companies, the drive for data modernization is attributed to the massive growth of data and a business goal to harness as much data as possible to unlock its potential in transformative ways.

Data 98
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What is data governance? Best practices for managing data assets

CIO Business Intelligence

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

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Generative AI: Balancing security with innovation

CIO Business Intelligence

Misinformation and manipulation of data. As AI becomes more powerful, its ability to manipulate data is increasing and making it difficult to stem the tide of misinformation. Visit Discover Technology to learn more about Discover’s approach to security, AI, reliability and more.

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Academic institutions are already losing information and may not realise it

CIO Business Intelligence

For example, academic institutions must comply with strict guidelines for the retention of research data for anywhere from ten to thirty years. Information is often considered to be indestructible, but the reality is that data is fragile and has a finite lifespan. Information may be degrading because of how it is stored.