Five Strategies for Driving Data Agility, Quality, and Governance
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Tuesday, March 23, 2021
Time: 9:00 a.m. PT, 12:00 p.m. ET
Business initiatives for richer customer experiences, smarter digital marketing, analytics to predict customer lifetime value, and more all depend on the right combination of data agility, data quality, and governance. The combination is key to supporting all workloads from interactive BI dashboards to advanced analytics and AI/ML. Yet, many organizations face challenges. Data volumes are only getting bigger, and it’s harder to govern and manage quality with data distributed across on-premises and cloud platforms. Old ways do not measure up.
With legacy systems, organizations often have to make a choice: agility and easier data access or inflexible systems that enforce quality and governance? Fortunately, technologies and practices are evolving. Today, you can realize both objectives and achieve the right balance for your organization. Users can take advantage of code-free data ingestion and transformation. Organizations can create modern data lakehouses that combine the best of cloud data warehouses and data lakes.
Join this TDWI Webinar to discover how to enhance data agility and user empowerment on top of a scalable, governed, and integrated data platform capable of meeting priorities for data quality and governance. Speakers will discuss how to support business-critical initiatives, offering examples of creating agile data flows for analytics, AI/ML, and BI applications. We will discuss best practices for establishing governed, trusted, and integrated data resources.
Topics to be addressed include:
- Trends enabling modern data lakehouses (e.g. Databricks) that take advantage of the cloud to integrate data warehousing and data lakes
- How to improve data quality and governance to support key business initiatives
- People and process strategies for governance and regulatory requirements
- How to increase scale, flexibility, and speed of data access for data engineering
- Data strategies for agility, quality, and governance to support all workloads, from BI to advanced analytics and AI/ML
Chief Data Strategist
Bill leads the Big Data practice for Perficient, providing the visionary direction and development for our big data capabilities. Bill brings over 25 years of experience helping organizations transform data management, analytics, and governance tools and practices. And he has led many mission-critical data and cloud transformation programs.
Michael Destein is a data junkie. Going back to the 1990’s he has been focused on data integration, data management, and data analytics. With roles in solution architecture, product management, product marketing, industry solutions, sales, and now leading ISV partnerships for Talend he knows how to apply data and data management to complex business problems and extract superior business results.