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Process Excellence: A transformational lever to extreme automation

IBM Big Data Hub

All are transforming their procurement operations by leveraging state-of-the-art process mining and intelligent automation technology. A Process Mining exercise drawing data from enterprise SAP has helped measure KPI performance and define the transformation roadmap. dollars annually in direct or indirect procurement.

Mining 71
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Envisioning new and hidden realities with data and augmented reality—a digital “twin city” example

CGI

Envisioning new and hidden realities with data and augmented reality—a digital “twin city” example. For example, a supermarket that makes home grocery deliveries has empty vehicles returning from those deliveries. Take a modern film, for example. Wed, 01/10/2018 - 15:25. Using data to create new value chains.

Mining 78
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Data monetization: driving the new competitive edge in retail

CGI

European retailers Carrefour and Fnac-Darty are exploring data-focused alliances with Google, while Intermarché is teaming with Microsoft, to name a few examples. Retailers have the opportunity to learn from the expertise of organizations that have built much of their success on data mining. Add new comment.

Retail 96
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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. For example, is the problem related to declining revenue or production bottlenecks? as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

This iterative process is known as the data science lifecycle, which usually follows seven phases: Identifying an opportunity or problem Data mining (extracting relevant data from large datasets) Data cleaning (removing duplicates, correcting errors, etc.) Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred.

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South African print market growth lagging behind African recovery

Info Source

Other factors, like stock constraints due to parts being out of stock at a manufacturing level, logistics and shipping delays, and the economic slowdown due to the power crisis and political instability, are all hampering the consistent upswing we’re seeing in the rest of Africa. Power is not the only limiting factor in South Africa.

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Leopard Spots and Zebra Stripes: Fraud and Behavioral Analytics

Thales Cloud Protection & Licensing

Luckily, zebras don’t use mobile devices, or manufacturers would be hard at work on stripe recognition technology. I invite you to read Juan’s blog to learn more about the challenges and approaches to protecting the big data behind the analytics. Synthetic identity fraud is another example.