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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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What you need to know to accelerate your cloud and data strategy

CIO Business Intelligence

Before organizations map an architectural approach to data, the first thing that they should understand is data intelligence. David Linthicum, chief cloud strategy officer at Deloitte Consulting and a contributor to InfoWorld, will delve into strategies that deliver real business value – a mandate that every IT leader is facing now.

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How to prioritize data strategy investments as a CDO

IBM Big Data Hub

My first task as a Chief Data Officer (CDO) is to implement a data strategy. Over the past 15 years, I’ve learned that an effective data strategy enables the enterprise’s business strategy and is critical to elevate the role of a CDO from the backroom to the boardroom. A data-literate culture.

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Avoid generative AI malaise to innovate and build business value

CIO Business Intelligence

Sixty-six percent of C-level executives are ambivalent or dissatisfied with the progress of their AI or GenAI efforts, according to Boston Consulting Group 1. Reach consensus on strategy. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. But how do you get there?

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Decoding Salesforce’s plausible $11 billion bid to acquire Informatica

CIO Business Intelligence

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts. The enterprise data management vendor reported a total revenue of $1.5 billion and $1.6

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Top five data integration objectives when you do M&A in Gaming / iGaming

BizAcuity

In today’s data-powered world with data fueling everything from essential management systems to customer-focused AI solutions , one thing that often gets in the way is data fragmentation. . Why Data integration plays a vital role for gaming companies? Enhances Player Retention. Customer Lifetime Value Optimization.

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IBM to buy StreamSets and webMethods from Software AG for $2.3B

CIO Business Intelligence

As businesses speed up their digital transformation, solutions for application and data integration become key for modernizing applications and deploying AI effectively throughout the enterprise, IBM said in a news release announcing the deal. IDC predicts the worldwide integration software market will exceed $18.0 1,” IBM said.

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