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5 surefire ways to derail a digital transformation (without knowing it)

CIO Business Intelligence

Despite the best of intentions, CIOs and their organizations often struggle to deliver business outcomes from digital transformation strategies. And while KPMG reports that 72% of CEOs have aggressive digital investment strategies, McKinsey details a harsh reality that 70% of transformations fail.

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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies. Data Center, Data Management, Digital Transformation

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Why data leaders struggle to produce strategic results

CIO Business Intelligence

They’re spending a lot of time on things like data quality, data management, things that might be tactical, helping with operational aspects of IT. The composer creates and sells the storyline of the value of data and analytics. To get there, though, Medeiros says CDAOs must prioritize strategy over tactics.

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4 Steps to Data-first Modernization

CIO Business Intelligence

Data-first leaders are: 11x more likely to beat revenue goals by more than 10 percent. 5x more likely to be highly resilient in terms of data loss. 4x more likely to have high job satisfaction among both developers and data scientists. Create a CXO-driven data strategy. Prioritize your investments.

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How Data Ethics Supports Governance & Monetisation

Alation

I recently led an online session, Data Monetisation and Governance , looking at the evolution of data governance , defining data ethics (from the Turing Institute ), and touching on the balancing act between using data to monetise (by increasing revenue, decreasing spend, or mitigating risk) and meeting ethical obligations.

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Data Maturity Models | Measure The Health Of Your Data

Anmut

Anmut’s own clients estimate that poor data quality and availability causes at least 16% additional cost per year. Worse still, these organisations’ competitors are actually pouring twice as many resources into creating value from their data assets, giving them a massive advantage.

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How to build a successful AI strategy

IBM Big Data Hub

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. Establish a data governance framework to manage data effectively.