Industry executives and experts share their predictions for 2022. Read them in this 14th annual VMblog.com series exclusive.
The Year of the Chief Transformation Officer, The Rise of Synthetic Data and the Evolving Roles of Data Workers
By Members of Alteryx
Taming and harnessing data remains a cornerstone of digital business transformation imperatives for organizations large and small. To be successful in these efforts, enterprises need to provide teams across the organization with the ability to automate complex and tedious business processes associated with preparing and analyzing data.
As data complexity and volume rise, enabling these business users to step into the role of analysts becomes increasingly critical to real-time decision making and problem solving across business units. Data science experts at Alteryx anticipate this trend will continue to accelerate in 2022 and have shared five additional predictions outlining the developments they believe we will see in the new year.
1. “Digital Transformation 2.0 will usher in a culture of analytics across business units as more larger enterprises provide the self-service technologies and training to ensure the average knowledge worker is set up for success and able to directly perform analytics.” – Alan Jacobson, Chief Data & Analytic Officer
2. “People and analytics will forge a union. Analytic automation is not replacing the human, it’s identifying processes that can be automated so analytics professionals can focus on the next ‘big’ question pertinent to driving business forward. The best analytic outcomes are driven by the people closest to the business questions with the context which will not be replace the human. The power of humans is amplified with the automation of the mundane which enables the human to focus on the high value opportunities.” — Libby Duane Adams, Chief Advocacy Officer, Co-founder
3. “2022 will be the year of the Chief Transformation Officer. We’ll see a title and focus shift from Chief Data Officer to Chief Analytic Officer to Chief Transformation Officer, as the role of those leading the digital transformation journey focuses more on the results than the data or the analytic methods used.” — Alan Jacobson, Chief Data & Analytic Officer
4. “We will see the rise of data trusts and frameworks evolve and organizations will shift their mindsets to sharing rather than data hording. We’ll see increasing use of synthetic data, differential privacy, other techniques to ensure security, privacy and legit use of data.” — David Sweenor, Senior Director of Product Marketing
5. “The role of the ‘citizen data scientist’ will evolve. Organizations will focus more on the relationship between people and AI, leading to increased spend on upskilling people as data literacy evolves into AI literacy. We will move away from the term “citizen data scientist” and towards “AI or analytics literate.” Businesses will become more dependent on collective intelligence, the idea that better business decisions can be made by machines and humans working together.” David Sweenor, Senior Director of Product Marketing
To learn more about how your organization can drive better business outcomes with automated analytics join Alteryx for Alter.Next: Accelerating Analytics. Everywhere to chart your course to faster analysis and insights.
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ABOUT THE AUTHORS
Alan Jacobson
Alan Jacobson is the chief data and analytics officer (CDAO) of Alteryx, driving key data initiatives and accelerating digital business transformation for the Alteryx global customer base. In his role as CDAO, Alan leads the company’s data science practice, driving key data initiatives and accelerating business transformation for the Alteryx global customer base. He is responsible for data management and governance, product and internal data, and use of the Alteryx Platform to drive continued growth.
David Sweenor
David Sweenor is an analytics thought leader, international speaker, author, and has co-developed several patents. David has over 20 years of hands-on business analytics experience spanning product marketing, strategy, product development, and data warehousing. He specializes in artificial intelligence, machine learning, data science, business intelligence, the internet of things (IoT), and manufacturing analytics. In his current role as the Sr. Director of Product Marketing at Alteryx, David is responsible for GTM strategy for the data science and machine learning portfolio.
Libby Duane Adams
Olivia Duane Adams (Libby) is the chief advocacy officer (CAO) and co-founder of Alteryx. Libby’s vision and leadership in the creation of the world’s leading data science and analytics community is a key factor in the company’s 20+ year success. Libby helped lead the company through solid organic growth, three rounds of funding and a successful IPO in March 2017.
