article thumbnail

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 334
article thumbnail

Navigating the Cybersecurity Threat Landscape in the UAE: Strategies for CISOs

CIO

For CISOs to succeed in this unprecedented security landscape, they must balance these threats with new approaches by performing continuous risk assessments, protecting digital assets, and managing the rapid pace of innovation in security technologies. How do we CISOs adapt our strategies today?

Strategy 287
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

10 ways to improve IT performance (without killing morale)

CIO

To establish a high-performing IT culture, IT leaders must be able to push their teams to the limit without crippling morale. Improving IT team performance is a constant, ongoing effort, says Dena Campbell, CIO at Vaco Holdings, a global professional services firm.

article thumbnail

Sport analytics leverage AI and ML to improve the game

CIO

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety.

Sport 238
article thumbnail

How King Crushes New Product Development using Data-Driven Insights

Speaker: Ian Thompson, Head of Business Intelligence at King, and Zara Wells, Strategic Customer Success Manager at Looker

King uses almost a competitive launch strategy for new games, as each game has a series of KPIs that it needs to meet. King’s product managers rely heavily on analyzing product features using analytics data and visualization to improve outcomes. The key is the strategy and tools for accessing product data at the level that you'd like.

article thumbnail

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 333
article thumbnail

The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Yet many are struggling to move into production because they don’t have the right foundational technologies to support AI and advanced analytics workloads. Some are relying on outmoded legacy hardware systems.

Analytics 319