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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.) They may also use tools such as Excel to sort, calculate and visualize data.

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Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

Think of these stores as a hub of a new way of accessing health-care services across America,” says CVS Chief Executive Officer Larry Merlo. eBay: One of the world’s most valuable retailer has no inventory. For example, Amazon is vertically integrating the grocery industry with their recent acquisition of Whole Foods.

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MY TAKE: Why Satya Nadella is wise to align with privacy advocates on regulating facial recognition

The Last Watchdog

And their grander vision is to help establish a nationwide biometric database in which a hybrid facial ID/fingerprint can be used for things such as fraud-proofing retail transactions, or, say, taking a self-driving vehicle for a spin. The ultimate concern with this technology is that we’ll end up in a surveillance society where your I.D.

Privacy 157
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Extending intranets to hard-to-reach staff: Controlled documents kiosk example

ChiefTech

Dendrobium mine is the first to trial the iPICK(Information Point, Illawarra Coal Kiosk) technology, with management, contractors and employees enjoying improved access to information and reduced complexity.

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#ModernDataMasters: Mike Evans, Chief Technology Officer

Reltio

A passion of mine is imparting the knowledge and experience that the data leaders of today possess to the next generation of data professionals. You must access the right data and build the right data models for your enterprise before you start leaping down the path of building solutions.”. Experience does of course count for a lot.

MDM 75
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How to Take Your Business to The Next Level with Data Intelligence

erwin

With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently. Great examples are BMW Mini , Comfort Keepers, and Teleflora. Transforming Industries with Data Intelligence.

Analytics 103
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Open the Gates for Next-Gen Loyalty

Reltio

Especially for CPG, retail, or hospitality business. Delivering omni-channel, consistent, and delightful customer experience is critical in retail, and it can be leveraged further for successful loyalty programs.” “I’ll give you a real example. In the modern connected age, customer expectations have changed.