Entries with tag big data analytics.

Companies Turn to Existing Employees for Big Data Skills

Thomas Davenport set off an explosion of interest in big data when he described "data scientist" as "the sexiest job of the 21st century" in his now-infamous 2012 Harvard Business Review article. In the excitement that followed, colleges and universities scurried to establish big data programs and companies struggled to understand exactly what a data scientist does.

The concern, then as now, is that the supply of big data professionals won't be adequate to support a market that by IDC's reckoning will reach $16.1 billion this year, growing six times faster than the overall IT market.

Although companies are still fine-tuning their ideas on what type of skill sets will be needed to form the big data teams to incorporate analytics into business processes, sort and analyze structured and unstructured data, and monetize existing data, those with graduate degrees or doctorates in statistics--the bonafide data scientists--will certainly be an important part of the team.

Gartner reports that the rise of big data has spawned a new job title--Chief Data Officer--and that by next year, one-quarter of large global organizations will have appointed CDOs

New big data training and education programs are popping up almost daily. Most are graduate programs. But amid the concern about the big data skills shortage, there are also undergraduate and online courses, and even calls that we begin teaching big data skills back in high school.

The need for solid, actionable knowledge and insights that can be immediately applied are among the reasons that IEEE Computer Society is hosting Rock Stars of Big Data Analytics on October 21 in San Jose, Calif., featuring high-level executives from companies and government agencies who are leaders in the field.

Resources are also emerging to help sort through all the programs. Big Data University maintains a map of universities that offer big data programs, and KD Nuggets, a media sponsor of Rock Stars of Big Data Analytics, provides a list of in-person and online big data courses and training.

But amid the perceived shortage, some are beginning to suggest that useful skills might instead be found or cultivated into existing technology professionals with experience in computer science, software development, or business intelligence.

According to Big-Data Startups, another Rock Stars of Big Data Analytics media sponsor, the right Big Data scientist is "a multi-skilled person who understands the world of IT and business and has the right creativity to develop difficult, technical, solutions that really help a data-driven, information-centric organization."

Those with this mix of talent and skills can be hard to find, however, so Big-Data Startups suggests that companies start paying attention to the available talent in house and retrain them to match the requirements of today’s fact-changing environment. The above video from PriceWaterhouseCooper offers some advice on retraining, and also on how companies can organize teams consisting of different skills.

Registration Open for Rock Stars of Big Data Analytics

Early-bird registration is now open for Rock Stars of Big Data Analytics, the must-attend big data analytics event of the year featuring high-level speakers from top companies.

For a limited time, attendees can take advantage of early registration and save more than 30 percent off full price. To register for Rock Stars of Big Data Analytics, set for October 21 in San Jose, California, visit http://www.computer.org/bigdataanalytics.

The cost to attend an entire day's worth of presentations from leaders in the field is $299 (or $229 for IEEE Computer Society members). Team, member, and student pricing are also available.

To register for Rock Stars of Big Data Analytics, set for October 21 in San Jose, California, visit http://www.computer.org/bigdataanalytics.

The speakers sharing their knowledge and expertise at the Rock Stars of Big Data Analytics conference include:

  • Grady Booch, Chief Scientist of Software Engineering, IBM
  • Greg Arnold, Data Infrastructure Engineering Director, LinkedIn
  • Chris Pouliot, VP, Lyft (Netflix Former Director of Analytics)
  • Guido Schroeder, Senior Vice President of Products, Splunk
  • Matthew Denesuk, Chief Data Science Officer, GE Software
  • Mike Ames, Director of Analytics, Product Management, and Hadoop Strategy, SAS
  • Mark Davis, Former CTO, Kitenga
  • Shivani Govil, Vice President, Business Analytics Solutions, SAP North America
  • Nigel King, Chief Information Officer of Portfolio Management, Oracle
  • Mike Rosenbaum, CEO, Catalyst IT Solutions

The speakers will discuss the trends, challenges, and solutions with big data analytics, and how they've used it to:

  • respond to changing business conditions
  • predict future outcomes
  • make decisions using 100 percent of data in every decision rather than instinctive guesses
  • develop a big data platform that handles all types of data and analytics
  • create a "culture of analytics," and
  • assure privacy and security while leveraging the power of big data.
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