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Organizations everywhere are racing to become digital and embed data in decision-making. More and more money is being invested every day in technology and staff resources to do this work. However, it’s becoming apparent that just investing money in these areas isn’t effective. In fact, Randy Bean and Tom Davenport titled their February 2019 Harvard Business Review article, “Companies are Failing in Their Efforts to Become Data-Driven.” The research they cite from NewVantage Partners didn’t say, “What’s needed is more data,” or “Companies need to buy more sophisticated technology.” Instead, these results state that people AND process are the number one obstacle.
What do you need to do to sidestep these challenges and strengthen your role? You can:
This two-day course uses engaging templates and instruction to impart the best practices for making this happen. After all, facts tell; stories sell. The experiential course provides an in‐depth approach to embedding data in decision-making that everyone in an organization can understand and use. This process ensures that the right business question is being addressed so stakeholders get what they need in a timely manner to make important decisions that spark immediate action.
The lessons in this course support and expand on the techniques in the IIBA’s Global Thought Leadership white paper, “Business Analysis in the Data Science Age: Driving Industry Transformation”. Students will practice the techniques as they learn, using an actual data set from your organization. We also encourage students to bring their own projects to class. Instructions and templates for engaging in this work with others are provided.
After this course, students will be able to:
Every time radio and TV hosts interview Lori about her book, Stories Trainers Tell, they ask: “Can story be used for more than training?” This motivated her to spend three years scouring the world to uncover successful applications for Wake Me Up When the Data Is Over. When the Dummies series called, she and Karen Dietz, PhD authored her third bestseller, Business Storytelling for Dummies, solidifying her thought leadership in the field.
One chapter blossomed into a unique framework for finding actionable insights in data and storifying them. This, combined with earlier career experiences consulting to Chevron, Valmet, Rhone Poulenc, the U.S. Air Force Reserves, and others, on shifting enterprise culture to embed data into decision-making, grew her prominence in helping individuals, teams, and organizations become data literate.
As the founder of Partners for Progress®, Lori also helps firms strategize about their future and navigate through messy, complex change. She’s worked across 25 industries, with firms like BMW Financial Services, McDonalds, Target, Bechtel, GE, and Phillips North America. As a keynote and workshop speaker at more than 80 events (including PM/BA Conferences in Toronto, Vancouver, Victoria, Chicago, Boston, and Philadelphia), Lori’s inspired thousands of people to take action. She’s an adjunct professor in the Industrial and Organizational Psychology Master’s program at Golden Gate University.
This course is designed for business analysts, project managers, systems analysts, data analysts, digital analysts, enterprise data managers, and other project team members that engage in business analysis/analytics as a part of their work. This course is also appropriate for individuals who manage or mentor business analysts and anyone who works with data in the enterprise.
There are no prerequisites to attend this course.
Each student will receive a copy of the course documentation prepared by Netmind.
Engaging and interactive face-to-face course. Our instructors teach all course materials using the demonstrative method; the participants learn new concepts through exercises and real application practices.
There isn’t an official certification associated with this course. However, students will earn 14 credit hours for their attendance.
A certificate of attendance will be issued to students who attend the course for at least 75% of the duration.
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