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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

6) Data Quality Metrics Examples. Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. The data quality analysis metrics of complete and accurate data are imperative to this step. Table of Contents. 2) Why Do You Need DQM?

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI. CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns.

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The Race For Data Quality in a Medallion Architecture

DataKitchen

The Medallion architecture offers several benefits, making it an attractive choice for data engineering teams. Finally, the challenge we are addressing in this document – is how to prove the data is correct at each layer.? How do you ensure data quality in every layer?

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7 types of tech debt that could cripple your business

CIO Business Intelligence

CIOs perennially deal with technical debts risks, costs, and complexities. What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics.

Risk 140
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Agentic AI design: An architectural case study

CIO Business Intelligence

The analyst firm Forrester named AI agents as one of its top 10 emerging technologies this year and that it will deliver benefits in the next two to five years. That will help us achieve short-term benefits as we continue to learn and build better solutions. Let’s review a case study and see how we can start to realize benefits now.

Testing 135
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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. Documentation and diagrams transform abstract discussions into something tangible. Complex ideas that remain purely verbal often get lost or misunderstood.

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Writing Business Cases: 6 Things You Should Know About Identifying Project Benefits

BA Learnings

While some companies identify business benefits with the sole intention of getting business cases approved, more mature companies tend to devote their resources to tracking and measuring these business benefits after the projects have been concluded. This is particularly important to note when developing a cost-benefit analysis.