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Dodging the Pitfalls of Data Failure

July 16, 2020 @ 12:00 pm - 12:30 pm EDT

Data projects are a large investment, in terms of time and budget. Before you start, you want to ensure you are well-positioned to succeed.

[Virtual Event]

Data projects are a large investment, both in terms of time and budget. Before you start, you want to ensure you are well-positioned to succeed.

But recent studies on the failure rate of data and analytics initiatives paint a grim picture. Depending on whom you ask, 70-90 percent of data projects fail to deliver on their promises. Why is this the case, and what can we do to prevent this?

Rob Ulmschneider, Director of Business Intelligence Solutions at Trilix & Julie Blackburn, Chief Data Scientist at Blackburn Labs will enlighten us on how to avoid or recover from a data initiative failing to get results. We will explore critical project areas such as:

• Managing expectations

• Untangling communication complexity

• Optimal project planning

Join us as we navigate through studies, common issues, and solutions to make your company more data literate and succeed with analytics solutions.

This discussion is meant for anyone who is, or will be, involved in a data project team – from executive sponsors to individual contributors, and everyone in between.

About the presenter :

Rob Ulmschneider is Director of Business Intelligence Solutions at Trilix, a consulting firm that helps clients create a culture of growth by focusing on data, strategy and execution. A self-described data evangelist, Rob has spoken on a number of topics including building a data-driven culture, business intelligence strategy development, data governance implementation, and leveraging analytics to drive business outcomes. Prior to joining Trilix, Rob led business intelligence teams at different companies and was a data & analytics consultant for financial institutions and non-profit organizations.

Julie Blackburn is a Data Scientist and data literacy advocate working at Blackburn Labs, which primarily focuses on the development of software and applications in the health care and life sciences spaces. Julie is adept in explaining complex statistical theory and hypothesis testing to a broad audience – as well as team building, project planning and design, and data analysis from munging to interpretation. Using tools such as R and Azure ML, she loves to generate solutions to puzzles and develop new strategies to help her clients tip the competitive odds in their favor.

Some Important additional Details:

Our Why Do Most Data Projects Fail? is taking place on Microsoft Teams. If you have never logged into a Microsoft Teams before, be sure to give yourself time beforehand to download Teams.

The link for the event will be sent out before the event. If you have not received the link; please email us at info@tech-collective.org so we can send it to you again.

Please plan on arriving at about 12:00 pm as we will start promptly at 12:05 pm!

The How does the size of your organization affect “Data Ethics”? will run until 12:30 pm, with ample time for Q&A

Cameras on! Please plan on turning your camera on so we can all connect as we learn.

If you would like to contribute to our programming by hosting a session, please email Creusa Michelazzo at creusa.michelazzo@tech-collective.org

Questions? Email our team at info@tech-collective.org