Avoid Data Silos! Best Practices for Implementing Shared Datasets

Abstract: Fragmented data adds unnecessary cost and complexity within an organization! Within the Power BI platform these are called (data silos), where the ecosystem has nearly as many unique datasets as they do reports. This puts a burden on the developers to maintain these datasets, and the servers when the datasets refresh. It can even cause discrepancies in the logic between datasets resulting in different numbers! Thankfully this can be solved by leveraging the shared datasets feature in Power BI. In this session you will learn: how to properly configure a dataset for enhanced user experiences, enabling row level security (RLS) on a dataset to protect sensitive data, publish a dataset for optimal sharing and distribution, promote or certify a dataset for increased exposure, and view usage metrics to determine where the dataset is being used, and by whom.

Speaker: Reid Havens

Speaker Bio: As the founder of Havens Consulting Inc. and a Microsoft MVP, Reid is a seasoned professional with a wealth of experience in technology, organizational management, and business analytics. With a Master's Degree in Organizational Development and a background in consulting for Fortune 10, 50, and 500 companies, Reid has the knowledge and expertise to help your organization succeed.

In addition to his corporate experience, Reid is also a highly sought-after instructor, teaching Business Intelligence, reporting, and data visualization at the University of Washington and other universities. His passion for education extends beyond the classroom, as he has co-authored the DP-500 Enterprise Azure Analyst certification exam for Microsoft and developed numerous training curriculums delivered to companies around the world.

Linked In
https://www.linkedin.com/in/reidhavens

Blogging
https://www.havensconsulting.net/blog-and-media

Twitter:
@HavensBI

Agenda:

• 12:15-12:30pm: Sign-in & network
• 12:30-12:35 pm: Announcements & Intro
• 12:35-1:35pm: Presentation
• 1:35-2:00pm: Q&A, wrap-up

Location:
Online. You must register for the link