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Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. Moreover, advanced metrics like Percentage Regional Sales Growth can provide nuanced insights into business performance. One of the primary sources of tension? What is Data in Use?

Testing 169
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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

They identified two architectural elements for processing and delivering data: the “data platform,” which covers the sourcing, ingestion, and storage of data sets, and the “machine learning (ML) system,” which trains and productizes predictive models using input data. Putting data in the hands of the people that need it.

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Oshkosh puts digital solutions into overdrive

CIO Business Intelligence

So far, we have deployed roughly 71 models with a clear operating income and impact on the business. We have models on safety and HR, but our larger concentrations have been more in supply chain and the sales area. It’s a question of prioritization where the value is highest, but we have scattered these models everywhere.

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Oshkosh puts digital solutions into overdrive

CIO Business Intelligence

So far, we have deployed roughly 71 models with a clear operating income and impact on the business. We have models on safety and HR, but our larger concentrations have been more in supply chain and the sales area. It’s a question of prioritization where the value is highest, but we have scattered these models everywhere.

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IT leaders embrace the role of business change maker

CIO Business Intelligence

Barrios rides shotgun on sales calls, spends time observing winemakers, and drops into meetings with sales and operations planning and the supply chain groups on a regular basis. It wasn’t a sales tool; it was a Qualcomm tool.”

IT 79
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Why Analytics Are Essential in Times of Crisis

Sisense

Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. Three clear opportunities are ripe to collect, analyze, and act on data: Maximize revenues: Identify drivers to increase sales by evaluating existing customers and processes. Insights over instinct.