Designing an Architecture Enabling Self-Service BI and Analytics
  Richard Sherman   Richard Sherman
Managing Partner
Athena IT Solutions


Wednesday, November 15, 2017
03:00 PM - 03:50 PM

Level:  Technical - Intermediate

This workshop examines designing an architecture that enables self-service BI and analytics for casual information consumers, business “power” users, and data scientists. More than products, self-service success involves people, process, and politics. The workshop reviews what self-service means to various BI user communities and what each of these communities needs in terms of data, governance, integration, and analytical capabilities. The three BI environments explored are traditional BI portals with guided data discovery, analytical sandboxes, and data science hubs. Data engineering, data integration, and data preparation are provided in varying degrees and potentially by different people within each of these environments.

Attendees will learn:

  • How to determine analytical use cases and match people’s analytical styles
  • What data architectures, such as analytical sandboxes and data science hubs, should be used
  • How to select best-fit technology - BI, analytics, data preparation - for each self-service community
  • How data and analytical processes fit
  • Best and pragmatic practices

Rick Sherman is the founder of Athena IT Solutions and has 30 years of business intelligence (BI), data integration, and data warehousing (DW) experience. He has worked on 100-plus BI/DW projects and has also provided guidance through assessments and as an advisor. His work has spanned industries, source systems, and technologies. Rick is an expert instructor and speaker at conferences, webinars, and seminars. He teaches business and IT people BI/DW concepts, design, architectures, and project management through onsite and online courses. He has taught BI courses for 10-plus years at Northeastern University's Graduate School of Engineering. His book "Business Intelligence Guidebook - From Data Integration to Analytics" (Morgan Kaufmann 2014) is used by practitioners and as a graduate textbook. Rick has had 200-plus articles published in industry publications. Rick also performs marketing and industry analysis for firms that create software for the BI industry.