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The Art of Lean Governance: Go Lean and Stop Burning Cash

TDAN

This approach is all about saving money by eliminating waste across your data factory. The data factory represents all activities related to the creation, processing, storage, and usage of data for operations, reporting, analysis, marketing, and a myriad of other business activities. The […].

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Why Finance Teams are Struggling with Efficiency in 2023

Jet Global

With the help of intuitive technology, new staff can also be trained faster while relieving understaffed departments.

Finance 52
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Unlocking the Power of AI with a Real-Time Data Strategy

CIO Business Intelligence

It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions. Data quality is crucial for real-time actions because decisions often can’t be taken back.

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Alleviate Growing Pains for Commercial Real Estate with Reliable Data

Jet Global

Gartner research shows that $15M is the average financial impact of poor data quality on a business. This is a huge sum of money that could be invested in generating value for the business, not combing through data errors. The result? Manual processes simply can’t efficiently handle these functions.

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Shifting from keeping the lights on to turning on new lights

CIO Business Intelligence

Identify the key operational capabilities your organization provides that visibly impact your constituents. Be open to feedback on quality measures and calculation and update the index using an iterative approach. Steering committees, existing operational reports, and department meetings are good starting points.

Metrics 105
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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

In Rita Sallam’s July 27 research, Augmented Analytics , she writes that “the rise of self-service visual-bases data discovery stimulated the first wave of transition from centrally provisioned traditional BI to decentralized data discovery.” We agree with that.

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Data Accessibility: A Hurdle Before SAP’s AI Integration

Jet Global

However, if your team is accustomed to traditional methods they might hesitate to embrace SAP IBP’s AI-powered data anomaly detection for a few reasons. Firstly, there’s a potential fear of the unknown – relying on AI for such a critical task as data quality can feel like a leap of faith.