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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. Defining metrics to measure success helps track progress and evaluate the impact of the initiatives.

Strategy 133
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PCI compliance: The best defense is a great defense

CIO Business Intelligence

This begins with having the right goal for a PCI DSS compliance program, Philipsen notes. Success in PCI DSS compliance and enterprise-wide efforts to protect data is not determined by luck,” adds Philipsen. “It

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Beyond the hype: Key components of an effective AI policy

CIO Business Intelligence

This tragic event prompted an investigation into safety protocols and emergency response procedures at food processing facilities that use hazardous chemicals, underscoring the importance of stringent safety measures in such industries. Identify gaps related to ethics, transparency, risk and compliance.

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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

Process mining tools can perform a fit-gap analysis on new processes to rapidly and more accurately identify the greatest change impacts. Furthermore, this capability can also tackle another stumbling block we face: once you have introduced a change, how do you easily measure its success and adoption?

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What’s the Difference: Quantitative vs Qualitative Data

Alation

From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. A big part of data analysis includes understanding what’s essential about collected information. Measures of central tendency. Percentages.

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The art and science of data product portfolio management

AWS Big Data

How do we define “risk” and “value” in the context of data products, and how can we measure this? Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on). Measurement and Reporting X X.