What is digitalization without skilled collaborative teams and converged data intelligence?

Not much, according to incidental data by an analytics process automation firm.

In the process of digital transformation, can an organization’s ability to thrive in a strong economy and remain resilient in times of volatility, be impacted by how it converges analytics, data science and process automation?

According to analytic process automation (APA) firm Alteryx, organizations in transformation struggle to apply data and analytics to decision making unless they have self-service solutions that include an option for employees to ‘self-onboard’.

The firm commissioned a small study of 250 organizations and analytics decision makers in North America, Latin America, Asia and Europe, to determine the importance and urgency of upskilling workforces to achieve successful digital transformation.

Specifically, 61% of respondents cited that, to improve their data and analytics programs, both analytics practitioners and business users must have access to self-service solutions. Also:

• 65% of organizations surveyed had initiatives to encourage collaboration between data science teams, analytics teams and the business. A converged, integrated data analytics platform was seen as a key enabler to ensure these initiatives are successful.
• 62% of companies surveyed were working to automate business processes by embedding analytic processes into business functions. There was 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 surveyed were already taking an ‘outcome-first’ approach by starting with business users’ goals and analyzing data to meet the business case priorities. This was largely influenced by an organization’s ability to work with one data analytics platform versus siloed point solutions.

Said the firm’s Chief Strategy and Marketing Officer, Sharmila Mulligan: “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.”