As data science continues to become a powerful differentiator for organisations in every industry, it is no coincidence that almost every data and analytics software platform vendor is now focused on simplification through automation to increase access to analytics at every level of the organisation.

Gartner predicts that the amount of advanced analysis produced by citizen data scientists – whose primary jobs are not data analytics – will surpass that produced by data scientists by 2019. Data produced by the citizen data scientists will help create a pervasive analytics-driven environment throughout organisations, while at the same time freeing skilled data scientists to concentrate on more complex analysis.

“Making data science products easier for citizen data scientists to use will increase vendors’ reach across the enterprise as well as help overcome the skills gap,” said Alexander Linden, research vice president, Gartner. “The key to simplicity is the automation of tasks that are repetitive, manual intensive and don’t require deep data science expertise.”

“Most organisations don’t have enough data scientists consistently available throughout the business, but they do have plenty of skilled information analysts that could become citizen data scientists,” said Joao Tapadinhas, research director, Gartner.

With the proper tools, Tapadinhas said the citizen data scientists will be able to exceed the analytics reach of business users, performing intricate diagnostic analysis and creating models that leverage predictive or prescriptive analytics.

The overall result, according to Gartner, will be to provide access to more data sources and more complex data types; a broader and more sophisticated range of analytics capabilities; and empowerment of a huge citizen data scientist workforce throughout the organisation.

Starting in February, Gartner analysts will deliver additional analysis of data and analytics trends at the Gartner Data & Analytics Summit 2017, taking place in Sydney; Grapevine, Texas; London; Tokyo and Sao Paulo.

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The curriculum will use the SAP HANA platform, BusinessObjects Predictive Analytics software and SAP Data Services software and visualisation tools, and plans to complement this in 2017 with certification.

According to SAP, the new curriculum addresses two of the main skill sets needed by data scientists: understanding the lifecycle of a data science project and understanding the appropriate tools and capabilities to support each part of the lifecycle.

“The ability to derive actionable insight from data is an essential element in making businesses successful in today’s digital world,” said Bernd Welz, executive vice president, scale, enablement and transformation, SAP. “Our Data Science Curriculum provides learners with the tools they need to infuse analytics into their problem-solving process as they work to make critical business decisions.”

The program, which will be delivered digitally through the openSAP platform and SAP Learning Hub, as well as on-site from training centres sponsored by SAP, is aimed at application consultants, data scientists, business and data analysts, developers and researchers as well as graduate students.

The new Data Science Curriculum will be rolled out globally to the SAP University Alliances network, which will include the growing number of labs sponsored by the SAP Next-Gen Consulting program that are opening at SAP locations and universities.

Following the launch of the Data Science Curriculum, SAP plans to develop and launch similar programs for other roles.

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