Empowering Users with Intelligent, Governed Self-Service Data Preparation
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Thursday, December 5, 2019
Time: 9:00 a.m. PT, 12:00 p.m. ET
Data preparation is vital to every project—whether the goal is to gain a single view of the truth, feed operational dashboards, or develop analytics for predictive insights. However, too often procedures for collecting, profiling, and cleansing data to improve its quality are too slow. Along with steps to standardize, join, and transform data, these quality procedures chew up time that data engineers, users, and IT developers should be spending on more valuable activities. In the meantime, business opportunities are lost due to poor and incomplete data. Critical data sources can’t be integrated fast enough.
The revolution in self-service data preparation tools has provided users with alternatives to manual, often spreadsheet-based work—and to waiting in IT’s backlog for developers’ time. However, some IT functions are reluctant to support self-service data preparation out of concern that too much user freedom will turn the data environment into an ungoverned, chaotic “Wild West.”
Fortunately, leading self-service tools are maturing into enterprise-grade platforms. Extensive use of algorithmic intelligence powers business user productivity. Intelligent automation not only makes data preparation easier and faster; it can also enable IT to improve governance.
Join this TDWI Webinar to learn about the latest self-service data preparation trends and how solutions can help organizations empower users, improve governance, and satisfy requirements for faster data preparation workflows and quality data pipelines.
Topics to be covered include:
- TDWI research insights into how self-service data preparation can address users’ and IT’s challenges
- Why intelligent automation in data preparation can enable IT to improve governance while scaling to handle more data and workflows
- Self-service data preparation’s role in modernizing data architecture and DataOps
- Enhancing collaboration with self-service data preparation
- Best practices for achieving a balance between self-service and centralized governance
Nenshad Bardoliwalla is the Chief Product Officer at Paxata, as well as a co-founder. He is also the co-author of "Driven to Perform: Risk-Aware Performance Management From Strategy Through Execution" (Evolved Technologist Press, New York, NY, 2009).