Remove Enterprise Remove Forecasting Remove Metrics
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Steps taken to build Sevita’s first enterprise data platform

CIO Business Intelligence

You ’re building an enterprise data platform for the first time in Sevita’s history. We knew we had to bring the data together in an enterprise data platform. For the first time, we’re consolidating data to create real-time dashboards for revenue forecasting, resource optimization, and labor utilization.

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Customer Retention Dashboard & Metrics Examples For Modern Companies

datapine

Companies, organizations, enterprises, large, or small businesses – no matter in which category you belong to, you need to pay close attention to your customers. A customer retention dashboard is a visual tool used to track key customer-centric metrics such as retention rate, churn rates, MRR growth, and the number of loyal customers.

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5 tips for better business value from gen AI

CIO Business Intelligence

According to AI at Wartons report on navigating gen AIs early years, 72% of enterprises predict gen AI budget growth over the next 12 months but slower increases over the next two to five years. CIOs should return to basics, zero in on metrics that will improve through gen AI investments, and estimate targets and timeframes.

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Highlights from the Strata Data Conference in San Francisco 2019

O'Reilly on Data

The journey to the data-driven enterprise from the edge to AI. Watch " The journey to the data-driven enterprise from the edge to AI.". The enterprise data cloud. Mike Olson describes the key capabilities an enterprise data cloud system requires, and why hybrid and multi-cloud is the future.

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10 Ways That Corporate Dashboards Can Make Your Enterprise Life Easier

datapine

Here, we explore enterprise dashboards in more detail, looking at the benefits of corporate dashboard software as well as a mix of real industry examples. Let’s kick things off by considering what a company dashboard is — or, in other words, provide an enterprise dashboard definition. Enterprise Dashboards Examples.

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Data Insights for Everyone — The Semantic Layer to the Rescue

Rocket-Powered Data Science

The BI (business intelligence) analysts need to find the right data for their visualization packages, business questions, and decision support tools — they also need the outputs from the data scientists’ models, such as forecasts, alerts, classifications, and more. That’s data fluency/literacy-building across the enterprise.

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Bridging the gap between mainframe data and hybrid cloud environments

CIO Business Intelligence

A high hurdle many enterprises have yet to overcome is accessing mainframe data via the cloud. Mainframes hold an enormous amount of critical and sensitive business data including transactional information, healthcare records, customer data, and inventory metrics.