Power BI Adoption Strategy - June 2022
This June, we're excited to announce that we have a remote guest speaker, DeNisha Malone from Microsoft, talking to us about Power BI adoption strategies. This session will present attendees with a set of roles, responsibilities, and behaviors that have been developed after working with customers in real-world Power BI deployments. DeNisha will share Microsoft’s Adoption Framework and how it can benefit the growth of application use in an organization. The meeting will start at 5.30pm with refreshments. The presentation will start shortly after 6pm on Wednesday June 8th. About the Speaker: DeNisha Malone, formerly known as “the Power BI Queen”, is an Intelligence Platform Program Manager at Microsoft. She is known for her knowledge in data-storytelling and Power BI administration strategies. DeNisha’s work has improved user acceptance and the adoption of Microsoft’s Power BI in enterprises all over the world. She enjoys sharing to user groups and helping small businesses migrate from manual Excel reporting to optimized Power BI tenants. More of her hobbies include reading self-help books, mentoring, and traveling the world experiencing new things. ***UPDATED LOCATION*** We'll be meeting on the ground floor of the Baker Tilly offices in Madison: 4807 Innovate Ln, Madison, WI 53707. This is where we met in November. It's on the far east side - exit the interstate on US-151 towards Sun Prairie, then exit on American Parkway. Take the first left onto Eastpark Blvd. The Baker Tilly building is 2 buildings after Cambria Suites on Eastpark Blvd. Enter through the main entrance at the front of the building - doors are locked but we'll have someone to let you in and they'll be a phone number to call if you arrive later. What3Words: ///handyman.navigating.mutateMaking AI Work: Aligning Data, Teams, and Business Goals
AI adoption often stalls not due to a lack of tools, but because of what I call “frozen yoghurt syndrome”—an overwhelming number of choices that leads to confusion, misalignment, and stalled progress. This session offers a pragmatic framework for building a scalable data strategy that cuts through the noise and focuses on delivering business value. We’ll explore four key pillars: - Identify the Problem and Bigger Picture – Start with the business need. AI isn’t always the right answer; sometimes automation or simpler analytics are more effective. - Design the Strategy Around Data, AI, and the Use Case Together – Align initiatives with clear business goals and define success metrics that matter to both technical and non-technical teams. - Build the Foundation – Encourage cross-functional collaboration, select scalable tools, and document everything from data sources to model assumptions. - Create a Positive Feedback Loop Between Tech and Non-Tech Teams – Foster a shared product language, enable self-service access to data, and build trust through transparency and iteration. Attendees will leave with practical frameworks to ensure AI efforts are not just technically sound — but strategically aligned, collaborative, and sustainable.
