The landscape of data solutions has been significantly disrupted in the last several years, on multiple fronts. New products are emerging, as are entirely new categories of products which aim to help customers to use and understand their data. One area is the analytics market, and the global market for analytics market will reach $125 billion in 2015, according to IDC. With millions of users worldwide, R is one of the most widely used programming languages specifically designed for statistical computing and predictive analytics, and its popularity has grown as more organizations adopt5 big data analysis and technologies. Another such disruption is taking place now, with the mainstreaming of in memory database (IMDB) products.
Microsoft’s acquisition of Revolution Analytics, and adoption of in-memory technologies, means that there is a whole new skill set for business intelligence and business analytics people to learn.
Decision makers are relying on analyst insights for guidance. They need information faster than ever before, and often within very tight timelines. Business leaders are looking to improve daily operations and drive strategic investments, and quality data is required to make these important decisions.
Despite this business need, many analysts are struggling to work with data, and need increased support to deliver to business timelines. A 2015 study of 200 organisations by Alteryx showed that 13% of organisations had over 15 sources of data, and only 6% of organizations have all of their data in one place. In order to meet the needs of the business, analysts will need to be empowered with the skill sets to keep up, and businesses will need to hire people with the appropriate skill sets.
I believe that PASS can continue to grow to reflect the practical needs of people in the industry, who need to move fast in order to learn these new technologies. For people moving towards business analytics, the technological environment and data landscape is often complex, and analysts are faced
with both ad hoc and project-based analytic requirements. I believe that PASS can help to meet business needs, by supporting the data professionals who are being tasked with increasingly complex demands in a fast-moving, volatile business environment.