The market for data preparation tools is crowded and complex — from only supporting self-service use cases to enabling data and analytics teams to build agile datasets at enterprise-scale — organizations have an opportunity to harness related technologies and leverage their data as an asset.
Anthony Deighton, Chief Product Officer at Tamr, former SVP of Products at Qlik, hosted a live session to share his key takeaways from Gartner’s new Market Guide for Data Preparation Tools. Anthony shared his perspective on the market for data preparation tools from his experience building and scaling enterprise software companies for over 20 years.
During this session, Anthony Deighton covers:
- Why taking a ‘modern’ approach to data management is lucrative and the benefits organizations experience when using human-guided machine learning to automate data mastering
- Examples of how organizations are responding to a shift in buyer expectations for solutions that were traditionally targeted toward skilled IT users that are now targeted toward business users
- Steps organizations can take to better leverage their data as an asset and three key takeaways from Gartner’s Market Guide for Data Preparation
Gartner recently released its 2020 Market Guide for Data Preparation Tools, the fifth edition of a guide. Tamr is one of the key vendors highlighted in this report and is most often a source for downstream data prep activities, where analysts leverage the curated, mastered, well-categorized datasets from Tamr in self-service data prep tools (e.g., Trifacta and Alteryx) for data discovery and profiling. Download the 2020 Gartner Market Guide for Data Preparation Tools to learn more.