Slideshows

Big Data Talent War: 7 Ways To Win

Doug Henschen November 02, 2012 11:06 AM 53% of big data-focused companies say analytics experts will be tough to find for the next two years. Here's how IT leaders plan to train, borrow, or steal talent--and what job seekers should know.

« Previous Page | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | Next Page »

E-mail
Share

Get Close To The Talent Pool

There's clearly strong demand for anybody with expertise in analytics or big data management. People with experience in both areas are "going for crazy prices," says Brian Courtney, general manager of industrial data intelligence at GE Intelligent Platforms (GEIP).

"We have a lot of analytics talent on staff already, but getting high-end analysts with big data experience is that much harder," says Courtney, who's part of a $200 million, 3,500-employee business within GE that offers big data analytics software and services to the industrial commercial software market (including customers both inside and outside of GE).

GEIP's specialty is big data analytics software and services, so part of Courtney's job is getting the word out to potential employees that GE is hiring. Proximity helps; GE has offices all over the world. But it opened a Software Center of Excellence in San Ramon, Calif., specifically to attract employees in the tech-talent-rich San Francisco Bay area. Even comparatively small companies are going to where they can find the talent. Genealogy website Ancestry.com has an office in San Francisco to draw on that talent pool while headquarters is in tech-endowed Provo, Utah.

Recommended Reading

Research: 2012 Big Data and Analytics Staffing Survey

Cloudera Debuts Real-Time Hadoop Query

Unlocking Big Government Data: Whose Job Is It?

Hortonworks Cofounder: Hadoop Rivals Can't Touch It

6 Lies About Big Data

Marketers Flooded With Big Data From Mobile

Big Data Talent War: 10 Analytics Job Trends

Big Data Widens Analytic Talent Gap

InformationWeek IT Salary Survey 2012

« Previous Page | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | Next Page »

By The Numbers

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?

SaS

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.