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New documentation, still in draft form, details how companies can craft specialized reports and custom alerts from Windows Analytics' data and integrate the data with other info.
By Gregg Keizer
Senior Reporter, Computerworld | Apr 10, 2018 9:19 AM PT
Gil Press , Contributor
As the big data analytics market rapidly expands to include mainstream customers, which technologies are most in demand and promise the most growth potential? The answers can be found in TechRadar: Big Data, Q1 2016, a new Forrester Research report evaluating the maturity and trajectory of 22 technologies across the entire data life cycle. T
I’m a guy and of course delay going to the dentist and so on. Over morning coffee, today March 31, 2018, I realized I can’t avoid it any longer. Today is World Backup Day! Darn it, I’m making a couple special backups just to honor the holiday.
I spoke with John Zanni, well-known in the SMB partner channel for his work as a Microsoft general manager back in the day plus his tenure at Parallels. Today he is the president of Acronis, a leading backup solution ISV. Later in this blog I’ll do a “where is John Zanni now?” commentary.
World Backup Day
"This is of course an international event,
Depending on how much you know about big data, you may be surprised to learn that a data scientist and a business analyst don’t provide the same results. If that’s the case, then you’re not alone—since these two professions are often confused with one another. That’s why Analytics@American, a masters in business analytics, created this infographic to help clear the data science fog.
Companies of all types must handle problems on a constant basis, but these challenges are more difficult for a small business. Having limited resources makes it difficult to compete with larger enterprises. Companies of all types must handle problems on a constant basis, but these challenges are more difficult for a small business. Having limited resources makes it difficult to compete with larger enterprises.
In the past, access to something as powerful as Big Data was limited due to the costs and skills required.
Strengths, Weaknesses, and the Likely Road Ahead
The Internet of Things (IoT) is one of the most exciting paradigms in emerging technology. The principle of connecting billions of devices to automate networks is absolutely thrilling and has considerable applications in agriculture, manufacturing, consumer tech, and virtually all mechanically intensive industries. It also has a big problem: at its current stage, IoT is objectively infeasible and dangerous.
By Todd Clark and Dan Wiesenfeld
During the past decade, business analytics platforms have evolved from supporting IT and finance functions to enabling business users across the enterprise. But many firms find themselves struggling to take advantage of its promise. We’ve found three main obstacles to realizing analytics’ full value, and all of them are related to people, not technology: the organization’s structure, culture, and approach to problem solving.