Remove Data-driven Remove Events Remove Metrics
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CIO metrics are failing digital transformation; it’s time to radically rethink success

CIO Business Intelligence

However, the metrics used to evaluate CIOs are hindering progress. According to recent data from IDC’s CIO Sentiment Survey (Figure 1), only 38% of organizations have reached a high level of maturity in their digital transformation efforts (with only about 13% claiming full transformation).

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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? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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A Beginner’s Guide To Inventory Metrics And Best Practices

datapine

In our cutthroat digital economy, massive amounts of data are gathered, stored, analyzed, and optimized to deliver the best possible experience to customers and partners. At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value.

Metrics 286
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Domo Addresses Data Products and Agentic AI

David Menninger's Analyst Perspectives

Domo is best known as a business intelligence (BI) and analytics software provider, thanks to its functionality for visualization, reporting, data science and embedded analytics. Facilitating self-service data analytics was an early design goal for Domo, providing the company with differentiation compared to many of its rivals.

Metrics 130
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AI-Enabled Contingency Planning is More Accessible Than Ever

David Menninger's Analyst Perspectives

Especially when a business finds itself on an undefined journey with an unclear destination whether caused by internal events or the world at large having plans to deal with a range of outcomes increases the odds of success. IBP is a technology- and process-driven approach to business planning.

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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

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Build event-driven architectures with Amazon MSK and Amazon EventBridge

AWS Big Data

Based on immutable facts (events), event-driven architectures (EDAs) allow businesses to gain deeper insights into their customers’ behavior, unlocking more accurate and faster decision-making processes that lead to better customer experiences. In almost any case, choosing an event broker should not be a binary decision.