Convergence of Analytics, Data Science and Process Automation Accelerates Digital Transformation, Shapes Businesses of the Future
Global Study Commissioned by Alteryx Confirms Modern Organizations Seek Self-Service Approach to Upskill Workforces and Achieve High-Impact Outcomes
Alteryx, a leader in analytic process automation (APA), revealed insights from a study conducted by Forrester Consulting on its behalf, which underscores the convergence of analytics, data science and process automation as critical to enabling substantial business benefits. The Forrester study, Data and Analytics: The Key to Driving the Business During Challenging Times, also highlights this converged approach as a key indicator of an organization’s ability to thrive in a strong economy and remain resilient in times of volatility.
The study emphasizes the importance and urgency of upskilling workforces to achieve successful digital transformation. Organizations struggle to apply data and analytics to decision making, unless they have self-service solutions that include an option for employees to self-onboard. Specifically, 61% of respondents cite that to improve their data and analytics programs, both analytics practitioners and business users must have access to self-service solutions. Other key findings include:
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- 65% of organizations currently have initiatives to encourage collaboration between data science teams, analytics teams and the business. A converged, integrated data analytics platform is a key enabler to ensuring these initiatives are successful.
- 62% of companies are working to automate business processes by embedding analytic processes into business functions. There is widespread acknowledgement of the need to infuse data into the entire organizational ecosystem and to automate analytic processes by building well-integrated, outcome-first analytics initiatives.
- 45% of organizations already take an outcome-first approach by starting with business users’ goals and analyzing data to meet the business case priorities. This is largely influenced by an organization’s ability to work with one data analytics platform versus siloed point solutions.
“There is no doubt the unification of analytics, data science and integrated process automation is critical to delivering business outcomes that are both insightful and actionable. With this unification also comes a heightened need for self-learning and self-service, especially as more workforces look to upskill in remote working environments,” said Sharmila Mulligan, chief strategy and marketing officer of Alteryx. “The Alteryx Analytic Process Automation Platform™ leads the way in converging all critical capabilities into one, unified platform that drives high-impact business outcomes.”
