Big data practitioners five trends

In the era of information explosion, businesses and businesses fought to attract and retain business intelligence and information management professionals. We also see huge gaps in Big Data practitioners in the annual ITWeek Salary Survey released by InformationWeek.

Now in the field of big data presents the "4V + 1C" features. Variety: Usually includes many types of data, such as structured, semi-structured and unstructured, and their processing methods and analysis methods are different; Volume: a lot of data generated by a variety of devices, often in PB level; Velocity: requirements Fast processing, timeliness; Vitality: Analysis and processing models must change rapidly because demand is changing; Complexity: Processing and analysis is particularly difficult. The IM professional lets people know how to use the emerging big data platforms (such as Hadoop, NoSQL) to handle and analyze big data.

Reviewing InformationWeek's years of IT payroll surveys, BI (Business Intelligence) and IM (Information Management) professionals have been high-income people in the IT space. Information 2012 survey report shows that the average salary for BI practitioners is 90,000 U.S. dollars, compared with 85,000 U.S. dollars in 2011. The average BI manager's salary is $ 119,000, an increase of $ 9,000 over the $ 110,000 in the same period last year. In the data integration / data warehouse area, salaries have been higher, with salaries of $ 97,000 and $ 120,000 for general practitioners and managers, respectively, compared to $ 98,000 and $ 118,000 for regular practitioners and managers )Has not changed much.

The average salary of big data practitioners looks pretty good, but which position can get more pay? Big Data is pushing the CEO to find out to tell him the future (nothing happened last week or even last month) Talents.

Such people have forward-looking and predictive insights. Stacy Blanchard, head of cultural change teams affiliated with Accenture's Talent and Organization Performance Services Line, said "they are often statisticians and master data modeling and they know how to use the best algorithms in the available data, which is highly technical" . They help organizations mine valuable data in a vast amount of information and transform the data into deeper cognitive and accurate predictive models.

The Big Data era has also forced many changes in the industry. Today's manufacturers are researching data on demand and supply chain information to cut product development cycles and improve manufacturing and supply chain efficiencies. Businesses that are simultaneously AOL, comScore, eHarmony, and the Internet are analyzing customer clickstream data to provide valuable personalization and targeting services while helping to find the right customer for precision marketing.

From Starbucks to Wal-Mart, they are analyzing intensive data to find the most suitable product selection and pricing. For medical treatment. Such as Harvard Medical School through the analysis of clinical data for patients to improve diagnosis and treatment efficiency. In sum, companies and government agencies are increasingly placing their weight on data-driven decision making, resulting in a growing demand for analytics and information management professionals. The following ten trends in the field of big data practitioners.

Trend One: Salaries will continue to grow

BI Analysts and IM Professionals Today's salary levels have been due to many other IT positions, but such trends will continue in the future, especially for executives, who will pay $ 134,000 in future BI managers (out of the 23 ITs surveyed by InformationWeek Fourth in the rankings), while average BI practitioners will receive $ 96,000 in the future (ranked 10th out of 23 IT positions surveyed by InformationWeek). The data integration and data warehouse management staff salary in the future will reach 131,000 US dollars, the average staff salary is 101,000 US dollars. (They ranked sixth and seventh, respectively, of 23 IT positions surveyed by InformationWeek).

Trend two: big data talents in short supply

In fact, the McKinsey Global Institute research predicts that in the next six years alone, there may be a lack of 140,000 to 190,000 people with in-depth analytical data capabilities in the United States alone, along with the ability to analyze big data and make effective decisions for businesses The data management and analysts also have a gap of 1.5 million people. The shortage of talent that the United States and other economies face can not fill this gap simply by the influx of graduate students and graduates. And "Big Data: The Next Frontier for Innovation, Competition and Productivity" is that it is quite necessary to train a large number of big data professionals.

Trend Three: Employment Outsourcing

Another sign of BI analytics and IM talent needs is outsourcing, with 660 outsourced job respondents in the survey reporting above-average salaries. Twenty-five percent of organizations outsourced their big data analytics business to U.S. and overseas businesses, 17% said they only outsourced U.S. businesses and 22% said outsourced businesses were completely outsourced to overseas businesses. Of the 13,880 IT professionals that InformationWeek surveyed, this figure was 18%, 15% and 18% respectively. From big system integrators like Accenture and IBM to software and platform vendors like SAS and TeraData, they provide industry-specific information and analytics that play a key role in filling big data analytics gaps.

Trend 4: Differences in talent team

Accenture Stacy Blanchard

Accenture Stacy Blanchard said disagreements will appear in the BI analysis and IM team, where the difference between new-generation and older professionals is more than age but attitude is paramount. Cenozoic practitioners prefer to use open, open source tools and cloud computing, and Accenture's research also shows that new generation practitioners also compare their earnings with their peers. The Cenozoic practitioners want to make sure that the technology they are using is up to date and up-to-date in order to keep pace with market and commercial development. Disadvantaged to businesses, however, the new generation is more sensitive to their work environment and once they can not collaborate with like-minded people or can not see the impact of their own insights on real business, the business will lose them.

Trend Five: Big Data Professionals Need Continuous Improvement

BI Analytics, IM Practitioners and Managers Need to Introduce More Specific Technology Training and Certification Courses. Training in statistics and analytics is very valuable. More importantly, business skills training in fields like finance and marketing is much higher than in general IT training.