Automating Data Management

Discussion table

Learn from
Office for Product Safety and Standards
Bruce Fanshawe

Head of Digital

Co-Host

Greg Hanson
Greg Hanson

GVP and Head of Sales EMEA North

Co-Host

Greg Hanson has over 24 years’ experience within the world of data. Since joining Informatica in 2000, he has led hundreds of data initiatives with Informatica’s clients and partners helping them achieve their digital transformations with success. Greg has contributed to Informatica’s vision, go-to-market strategy and customer success as CTO of EMEA and LATAM.

A regular presenter on all things data, he has a passion for discovering innovative uses for Informatica’s platform and ways for data to improve business. Prior to joining Informatica, Greg oversaw project management for delivering data warehouse and analytics solutions at Consignia.

About the session

Automating tasks such as data cleansing, data integration, and data analytics reduce manual intervention, enhance efficiency, and improve data quality - but will also require attention to maintaining consistent data standards across organisations, and a steep learning curve for staff when it comes to understanding new workflows.

  1. Data Quality Assurance: Automating data management can greatly improve data quality by reducing manual errors. It can also provide more consistency in the data processing workflows. How does your department currently handle data quality assurance - and how frequently does your department encounter issues with data quality?
  2. Real-time Data Processing: With automation, data can be processed and analysed in real-time, offering immediate insights that can be acted upon promptly. However the shift from batch processing to real-time processing might require significant changes in workflow and potentially a culture change within departments. How would the introduction of real-time data processing benefit your current workflows and service delivery?
  3. Data Integration: Automated systems can efficiently integrate data from different sources, allowing for a more holistic view and better cross-departmental insights. How is data integration currently handled in your organisation, and are there any bottlenecks, inefficiencies, or error-prone steps in these processes that might benefit from automation?