PEX Live: Process Mining 2021

09 - 11 March, 2021 | Free Online Event

Scott Opitz

Chief Marketing Officer ABBYY

Scott Opitz is instrumental in spearheading global marketing strategies and advancing ABBYY’s positioning as a leader in Digital Intelligence. As Chief Marketing Officer at ABBYY, Scott drives the development and execution of worldwide marketing and communications initiatives. He joined ABBYY with the acquisition of TimelinePI, for which he was co-founder, President, and CEO from its inception. Upon joining ABBYY, he oversaw the integration of TimelinePI’s Process Intelligence products (now ABBYY Timeline) into ABBYY’s worldwide sales and distribution channels.

A 30-year veteran of the technology industry, Scott has a long-standing history of founding and building groundbreaking software companies in the application integration, business process management, and business intelligence spaces.

Prior to joining ABBYY, Scott founded and served as President and Chief Executive Officer of Altosoft Corporation, a business intelligence software company that was ultimately acquired by Kofax, where he served as SVP of Analytics. He also co-founded IntelliFrame Corporation which developed data integration products and the InVista integrated workflow and BPM platform which was acquired by webMethods (now Software AG). Scott has held numerous executive-level positions in technology, marketing and business development for public and private companies.

Day One

10:00 AM ABBYY - A Practical Guide to Process Intelligence

The focus on data ingestion, quality, combined with singular process approaches for Process Mining, leads many to assume that they either can’t use it, or that it is too difficult to generate those great results. In this session, discover process intelligence through the eyes of ABBYY customers who have successfully solved a range of different business problems, including guest speaker from TriNet. And see how the true value is to managers and not just data scientists. Key learnings include:

  • Generating data-based business requirements and value propositions
  • Why data quality and volume is not the problem you think
  • Moving from diagnostics to continuous process improvement
  • The key influences driving choices