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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 sins of digital transformation

CIO Business Intelligence

But perhaps more importantly, they must learn from their previous big digital wins — and avoid repeating all-too-frequent mistakes that cause transformations to fail or lag behind expectations. Gartner’s data suggests that, without executive partnership, as many as 88% of CIOs are primed to fall short.

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Belcorp reimagines R&D with AI

CIO Business Intelligence

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace.

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Many CIOs are better equipped to combat rising IT costs. Are you?

CIO Business Intelligence

According to IDC’s July 2023 Future Enterprise Resiliency & Spending (FERS) survey of 856 senior IT and business managers in large enterprises, the IT line items most affected, in addition to rising tech salaries, include SaaS and PaaS costs. While inflation challenges have moderated in the US from a high of 9.1% in June, 2022, to 3.7%

IT 133
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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. They need to make quick and informed decisions.

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10 most difficult-to-fill IT roles — and how to address the gap

CIO Business Intelligence

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill. Chan says. Geographical nuances are also arising. The net result?

IT 98
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Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.