10 trends in large data areas: a huge gap in pay growth

In the big data age, businesses are fighting to attract and retain business intelligence and http://www.aliyun.com/zixun/aggregation/13617.html "> Information management professionals." Large data workers face a huge gap in the payroll survey of IT employees published every year in InformationWeek.

Today's large data presents a "4V + 1C" feature. Produced: generally includes the structure, the semi-structured and the unstructured and so on many kinds of data, moreover they processing and the analysis method to have the difference; Volume: through a variety of equipment produced a large number of data, PB level is the normal; Velocity: Requires fast processing, timeliness Vitality: analysis and processing models must change rapidly, as demand changes; complexity: processing and analysis are very difficult. and IM professional lets people know how to use the emerging large data platform (such as Hadoop, NoSQL) to process and analyze large data.

Reviewing InformationWeek's IT payroll survey reports for years, BI (Business FDI) and IM (information Management) professionals have been high income people in the IT field. The INFORMATION2012 survey showed that the average salary for BI practitioners was $90000, compared with a 2011 figure of $85000. The average salary for BI managers is $119000 trillion, up 9000 dollars over the same period last year. In the field of data consolidation/data warehousing, salaries were ever higher, with salaries for average practitioners and managers at $97000 trillion and 120000 dollars respectively, a small change from 2011 (The salaries of general practitioners and managers were 98000 and 118000 dollars respectively).

The average payroll for big data workers looks pretty good, but what more can be paid? The big data wave is pushing the CEO to find people who can tell him about future developments (nothing happened last week or even last month).

Such people have forward-looking and predictive insights. "They are usually statisticians and proficient in data modeling, and they know how to use the best algorithms in the available data, which is highly technical," said Stacy Blanchard, head of the cultural change group, a team of Accenture's talent and organizational performance service. They help organizations to exploit valuable data in a large amount of information and translate the data into models of in-depth cognitive and accurate predictions.

The big data age has also forced many industries to change, and today manufacturers are studying demand data and supply chain information in order to cut product development cycles and improve manufacturing and supply chain efficiency. At the same time to AOL, ComScore, eharmony level and the Internet companies are the customer's click Stream data analysis to provide valuable personalized and positioning services, while helping to find the most suitable customers for precision marketing.

From Starbucks to Wal-Mart, they are analyzing intensive data to produce the most appropriate product selection and pricing. for medical care. For example, the Harvard Medical College can improve the efficiency of diagnosis and treatment for patients by analyzing the clinical data. In short, companies and government agencies are increasingly focusing on data-driven decision-making, which leads to an increasing demand for analytics and information management expertise. Here are 10 trends for practitioners in large data areas.

(Responsible editor: The good of the Legacy)