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Digital KPIs: The secret to measuring transformational success

CIO Business Intelligence

Regardless of where organizations are in their digital transformation, CIOs must provide their board of directors, executive committees, and employees definitions of successful outcomes and measurable key performance indicators (KPIs). He suggests, “Choose what you measure carefully to achieve the desired results.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. Cloud maturity models (or CMMs) are frameworks for evaluating an organization’s cloud adoption readiness on both a macro and individual service level.

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How to get your CFO to buy into a better model for IT funding

CIO Business Intelligence

Modern digital organisations tend to use an agile approach to delivery, with cross-functional teams, product-based operating models , and persistent funding. But to deliver transformative initiatives, CIOs need to embrace the agile, product-based approach, and that means convincing the CFO to switch to a persistent funding model.

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Assembly required: 8 myths about knowledge management debunked

CIO Business Intelligence

General Stanley McChrystal, who once led Joint Special Operations Command, shared this key insight, “The military’s historic struggle with a lack of intelligence has shifted towards a new challenge: managing an overwhelming influx of information. The term “knowledge assembly” is not as widely recognized a term as “knowledge management.”

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 5) How Do You Measure Data Quality? However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. Enters data quality management. What Is Data Quality Management (DQM)? Table of Contents.

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Whether your technology is new or old, lifecycle management is key

CIO Business Intelligence

Business needs first, then the lifecycle management program Your infrastructure lifecycle management program should be aligned with your organization’s growth roadmap. This will involve comprehensive and proactive infrastructure management. Lifecycle management keeps an equal focus on an asset through all its stages.

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Data Maturity Models | Measure The Health Of Your Data

Anmut

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Click the links below to navigate to different sections What are data maturity models? Why do we need data maturity models? It’s like driving a car.