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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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7 enterprise data strategy trends

CIO Business Intelligence

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

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RN Coders Can Improve Hospital Data Strategies

Smart Data Collective

One study found that 56% of hospitals do not have any data analytics or governance strategies. Hospitals that want to develop data strategies need to improve decision-making need to use the right technology. One technology data-driven hospitals should invest in is RN coders.

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6 strategic imperatives for your next data strategy

CIO Business Intelligence

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

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Is your data strategy ready for gen AI? LOB leaders may disagree

CIO Business Intelligence

Rapid advancements in artificial intelligence (AI), particularly generative AI are putting more pressure on analytics and IT leaders to get their houses in order when it comes to data strategy and data management. The majority of people we speak to say AI is moving their data management priorities ahead — it’s accelerating it.

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Transform Your Data Strategy with the Denodo Platform and Snowflake

Data Virtualization

Reading Time: 3 minutes In today’s fast-paced, data-driven world, organizations are always looking for new ways to make the most of their data while keeping it accessible, secure, and cost-effective. That’s where combining a logical data abstraction layer with Snowflake’s powerful data capabilities comes.

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The Future of Data Strategy

Data Virtualization

But do you wonder what the future of data strategy looks like? Data exploration and analysis can bring enormous value to a business. The post The Future of Data Strategy appeared first on Data Virtualization blog. The world is becoming more and more digital, isn’t it?