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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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RN Coders Can Improve Hospital Data Strategies

Smart Data Collective

Healthcare providers are investing more heavily in big data technology, as they strive to deal with growing challenges such as declining operating margins and an increasingly complex regulatory environment. However, many healthcare providers lack the technology or knowledge to use data prudently.

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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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7 Major IT Infrastructure Challenges for Data-Driven Companies

Smart Data Collective

Big data technology has been a huge gamechanger for countless companies in every sector. Around 60% of companies rely heavily on data analytics technology to meet their goals. However, despite, the many benefits of big data technology, many companies still have difficulty implementing it properly.

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What is your data strategy for an AI future?

CIO Business Intelligence

As enterprises become more data-driven, the old computing adage garbage in, garbage out (GIGO) has never been truer. The application of AI to many business processes will only accelerate the need to ensure the veracity and timeliness of the data used, whether generated internally or sourced externally.

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The data flywheel: A better way to think about your data strategy

CIO Business Intelligence

This article was co-authored by Duke Dyksterhouse , an Associate at Metis Strategy. Data & Analytics is delivering on its promise. Some are our clients—and more of them are asking our help with their data strategy. Often their ask is a thinly veiled admission of overwhelm. We discourage that thinking.

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Data Driven Customer Retention Strategies

TDAN

Data driven marketing strategies supported by customer insights can significantly boost the customer experience, leading to higher customer retention rates.