Remove 2023 Remove Data Analytics Remove Data Collection Remove Manufacturing
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Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

DataKitchen

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction.

Metrics 130
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P&G enlists IoT, predictive analytics to perfect Pampers diapers

CIO Business Intelligence

But when tossing away thousands of diapers damaged during the manufacturing process becomes an everyday occurrence, something has to be done to provide relief for the bottom line. That’s when P&G decided to put data to work to improve its diaper-making business. That’s why The Proctor & Gamble Co.

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3 powerful lessons of using data governance frameworks

CIO Business Intelligence

The DGI publication includes components it thinks should be included in a data governance program. And two decades after the first published data governance framework, a new version was put online. That first and only refresh was on May 3, 2023. Poor data quality leads to poor decisions and recommendations.

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How the Edge Is Changing Data-First Modernization

CIO Business Intelligence

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making. From there, other best practices emerge: Heighten the focus on security and governance.

IoT 98
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Leading innovation in digital infrastructure for a digital and sustainable APAC

CIO Business Intelligence

IDC predicts that the digital economy will continue to accelerate, with over 65% of Asia Pacific (APAC) GDP expected to be digitalized by 2023. This has been made possible through resolving the bottleneck of optical data collection with enhanced optical Digital Signal Processing (oDSP) modules. That’s a big difference.

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eCommerce Brands Use Big Data for Logistics and Fulfillment Warehouses Protection

Smart Data Collective

Big data has driven major changes in the e-commerce sector in recent years. E-commerce brands spent over $16 billion on analytics in 2022 and are projected to spend over $38 billion by 2028. One of the biggest benefits of data analytics is that it can help e-commerce brands optimize their logistics and fulfillment processes.