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The Data Warehouse is Dead, Long Live the Data Warehouse, Part I

Data Virtualization

Reading Time: 4 minutes “Le roi est mort, vive le roi.” The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part I appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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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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Consolidating Patron’s Data – To Increase Casinos’ ROI

BizAcuity

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 75
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Consolidating Patron’s Data – The Next Big Move to Increase Casinos’ ROI

BizAcuity

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 73
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TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.

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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

More generally, low-quality data can impact productivity, bottom line, and overall ROI. We’ll get into some of the consequences of poor-quality data in a moment. However, let’s make sure not to get caught in the “quality trap,” because the ultimate goal of DQM is not to create subjective notions of what “high-quality” data is.

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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

1) Too expensive and hard to justify the ROI of BI. In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources. They also need these tools to generate a true ROI. The right business intelligence tool is a much easier ROI to sell.