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Deriving Business Value Through Data Governance

Dataversity

Growing companies often find themselves floating on an “ocean” of underutilized or misused datadata that doesn’t reach the people who would most benefit from it or reaches them at the wrong time. Preventing these issues is one of the primary objectives of Data Governance.

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Domo Introduces Groundbreaking AI Features to Expand Domo.AI Framework and Bring the Transformative Power of AI to All

Domo

SILICON SLOPES, Utah — Today Domo (Nasdaq: DOMO) announced at Domopalooza: the AI + Data Conference a new wave of features for Domo.AI, the company’s framework of flexible artificial intelligence (AI) services, powered by its award-winning platform. Users can have a true conversation with their data including suggested follow up questions.

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Use Case Analysis for Business Intelligence Projects

Business Analysis Knowledge Share

In the fast-paced world of business, data is undoubtedly the new gold. Companies are constantly collecting vast amounts of data from various sources, ranging from customer interactions to market trends and internal processes. Purchase Business Analysis Templates Here 2.

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The Intricacies of Financial Analytics in the Event Industry

BizAcuity

In today’s world of competitive businesses, analytics is an essential part of staying competitive especially in this digital era where data is omnipresent. Financial analytics is helping businesses in understanding current and past performance; predict future performance thereby arriving at making smarter decisions.

Finance 189
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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. What are Information Marts?

Agile 52
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Navigating the Future of AI in Energy: Trends, Challenges, and Opportunities

Cprime

– Generative AI (Gen AI) is transforming the energy and materials sector by enhancing efficiency, driving innovation, and supporting sustainability efforts through advanced data analysis and predictive modeling. How does Gen AI improve predictive maintenance in the energy sector?

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

Data Pine

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.