Quantitative Skills and Analytics Tool Training are the Skills Most
Needed by Organizations
Nearly 83 percent of survey respondents indicated that analytics is critical to their organizations’ decision-making processes and that they rely on data-driven insight rather than past experiences, intuitions and gut feelings. Although the vast majority felt that analytics is important, more than 65 percent of respondents believe that their organization has a shortage of people with skills to glean insights from data.
The survey found that the biggest factors holding organizations back from using analytics include:
Further, respondents felt that the skills most urgently needed in their organizations include statistics, math or quantitative skills (48 percent), analytics tools training (40 percent) and critical thinking (28 percent). Critical thinking (43 percent) and math and quantitative skills (41 percent) were identified as the top abilities that are necessary for respondents to be successful in their roles. To make their jobs easier and more valuable, respondents recommended implementing self-service tools for the data warehouse and business intelligence platforms (23 percent), more resources or funding (13 percent) and increased awareness of the opportunities to apply analytics, including Big Data initiatives (13 percent).
“Our latest survey points towards a major inflection point in the importance of analytics in building great businesses. Data-driven insights have become critical to improving organizational decision-making,” said
“Creative strategies are required to do deal this gap. While education and training are part of the solution, traditional supply will never keep up with explosive demands – the gap will get bigger,” Rockwell added. "Disruptive software companies, like Lavastorm Analytics, are putting the power of programming in the hands of business analysts without computer science degrees or programming capabilities, to make it both easier and faster for those analysts to be able to get insight and value from a wide variety of data. A combination of education and training, and powerful and increasingly easy-to-use new self-service analytic platforms, are required to match supply with demand.”