Remove Data Warehouse Remove Finance Remove Metrics
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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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When is data too clean to be useful for enterprise AI?

CIO Business Intelligence

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

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NetSuite adds generative AI to its entire ERP suite

CIO Business Intelligence

NetSuite is adding generative AI and a host of new features and applications to its cloud-based ERP suite in an effort to compete better with midmarket rivals including Epicor, IFS, Infor, and Zoho in multiple domains such as HR, supply chain, banking, finance, and sales. Bill Capture, too, has been made generally available.

IT 131
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Two Birds, One Stone: How to Get Better AX Reporting and Prepare for Future D365 Migration Today

Jet Global

Most customers running Microsoft Dynamics AX are acutely aware that at some point in the future, they will need to make the leap to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM). That, in turn, prompts managers to follow some of the key cash conversion metrics much more closely than ever before.

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The change management Informatica needed to overhaul its business model

CIO Business Intelligence

Then at the other end, we did a fantastic job involving the sales operations, finance, and marketing teams in the testing and design, and we did a great job training people. Look at changing metrics and KPIs as a gift. In the old model, for example, we didn’t talk about churn, but in the cloud, churn is one of the key metrics.

Modeling 116
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What Is Ad Hoc Reporting? Your Guide To Definition, Meaning, Examples & Benefits

datapine

To demonstrate the potential of ad hoc analysis, let’s delve deeper into the practical applications of this invaluable data-driven initiative in the business world. Ad hoc financial analysis: An additional ad hoc reporting example can be focused on finance.

Reporting 260
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How Data-Driven Decisions Boost the Future of Industrial Manufacturing

Jet Global

Managing this increasing amount of data can wreak havoc on your financial teams. Are you challenged by the ability to track and analyze data specific to each department within your organization? Can you correlate data across all departments for informed decision- making ? KPIs: Establishing a Baseline.