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Eating the Elephant of Data Strategy

Paul Blogs on BI

When they try to include implementing a new cloud ERP or other application and adding in a Data Governance initiative just for good measure, it becomes a gigantic undertaking. If they also decide to include converting to new BI tools and adding new generative AI tools, it becomes monster-size!

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How to unlock a scientific approach to change management with powerful data insights

IBM Big Data Hub

Leveraging data to replace the ‘gut feel’ on which too many business decisions are made enables change practitioners to separate perceptions from reality and decide which processes need the most focus. Process mining tools can perform a fit-gap analysis on new processes to rapidly and more accurately identify the greatest change impacts.

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Beyond the hype: Key components of an effective AI policy

CIO Business Intelligence

An AI policy serves as a framework to ensure that AI systems align with ethical standards, legal requirements and business objectives. Assessment and gap analysis Amazon faced scrutiny when its AI-powered recruiting tool was found to exhibit bias against women. Steps to develop and implement an AI policy 1.

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

CIO Business Intelligence

For example, a company aiming for market expansion might focus on developing scalable infrastructure, enabling application localization, and enhancing security measures to support operations in new regions. This process identifies discrepancies in capabilities, resources, and processes that could hinder the achievement of business goals.

Strategy 133
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Security is dead: Long live risk management

CIO Business Intelligence

In todays digital economy, business objectives like becoming a trusted financial partner or protecting customer data while driving innovation require more than technical controls and documentation. Security capabilities need to support rapid delivery of business value while ensuring appropriate protection against threats.