When Jeffery Lu MBA ’15 decided to create a Data Analytics Club for his fellow USC Marshall School of Business MBA students, he thought he might be onto something. But even he was surprised at the response. The 1-year-old Marshall Data Analytics Club now has nearly 200 dues-paying members, making it the fastest-growing student organization at Marshall. It also has made a strong corporate connection, with network solutions leader Cisco Systems providing club members hands-on, real-world experience in data analytics.

While there's a role for Ph.D.-level experts, the real power is in making advanced analysis work for mainstream -- often Excel-wielding -- business users. Here's how.
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Data, data everywhere, and nary a data scientist in sight. Or at least, not one you can afford. It's a classic Catch-22. To thrive, businesses need to pull financial, sales, predictive, social, and other data into a complete view of the customer.

HR analytics is an important tool for HCM professionals; not only does it help your HR team do its job more effectively, but it helps align HR with overall business objectives and keeps HR in executives’ sightlines. However, the question has come up in many circles: who should actually own HR analytics?
HR expert Morten Kamp Andersen outlined both sides of the argument in his blog, but we have to say we are firmly in the “HR should own HR analytics” camp.

The 21st Century has seen technology contribute life-altering realities like getting from New York to Beijing in less than 14 hours or grandparents using Facetime to see their newly anointed “Princes” and “Princesses” of future generations. New technologies have not only democratized widespread access of information worldwide, it has created new ways of providing cheaper and better products to improve quality of life. Yet with all the advancements made, healthcare continues to operate through an outdated and archaic paradigm.

"Big data comes in large blocks, and big data analytics are often required to process against large data objects that are terabytes in size," said Flowers. "Using cold storage, we become a 'data lake' mass of storage that can be scanned through by a Hadoop compute node." Solutions like Storiant containerize large data objects that contain the unstructured data that characterizes most big data, and also Internet of Things (IoT) data (like website log files) that increasingly comprise big data.

There has been significant enterprise focus on tiered storage algorithms that route data to the most appropriate storage media based upon how frequently the data needs to be accessed, with particular attention paid to tier one, the most rapid access storage for data that requires quick and frequent retrieval.

Tianhe Chemicals Group refuted charges that it had committed statistical fraud levied by United States-based Anonymous Analytics, which has been attacking the Chinese company for several weeks. Tianhe said the allegations in the open letter issued on Monday by Anonymous Analytics were “false, groundless, self-contradictory, unreliable, misleading and malicious”.

Seattle-based VoloMetrix today announced that it has raised a $12 million Series B round led by Split Rock Partners with participation from existing investor Shasta Ventures. Today’s round brings VoloMetrix’s total funding to $17 million. The service allows businesses to better understand how their employees are spending their time at work. The service, which launched in 2011, allows businesses to look at how much time their employees in a sales team spend with customers, for example, or how different teams work together (or not).