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7 enterprise data strategy trends

CIO

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.

Trends 363
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Six steps to creating a successful IT strategy: A guide for CIOs

CIO

In today’s rapidly evolving technological landscape, the role of the CIO has transcended simply managing IT infrastructure to becoming a pivotal player in enabling business strategy. This article delves into the six steps of delivering a successful IT strategy.

Strategy 329
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8 data strategy mistakes to avoid

CIO

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. Here are some data strategy mistakes IT leaders would be wise to avoid.

Strategy 339
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Beyond the numbers: how a solid business case drives analytics

Xebia

Beyond the numbers: how a solid business case drives successful analytics Guidelines on writing your business case Successful analytics projects have a clear financial driver. However, many companies fail at running successful analytics projects. This describes the performance of your analytical model.

Analytics 130
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Understanding these trends is not only essential to staying ahead of the curve, but critical for those striving to remain competitive and innovative in an increasingly data-driven world.

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5 tips for excelling at self-service analytics

CIO

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 341
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What is a data engineer? An analytics role in high demand

CIO

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Depending on the organization, they may also be responsible for communicating data trends. What is a data engineer? Their primary responsibility is to make data available, accessible, and secure to stakeholders.