Most executives and managers say adopting AI and analytics is their top priority, however, only 1 of 3 of these projects succeeds. Further, the lack of analytics costs businesses some $242 billion annually from under optimized planning. Implementing AI has been elusive due to a lack of vision, voice, and clarity on the value of analytics, and how to achieve a culture of data-driven decisions. Module 1 of the Analytics Academy follows the book, “Implementing an Analytics Culture for Data-Driven Decisions”, to crystallize and articulate the Roadmap to implement an analytics culture and to give clarity to the four main components of Mindset, People, Process, and Systems. These components when aligned encompass a successful implementation path.
In Module 1 you’ll learn each of the four components of the analytics culture, then the assembly of these components into a Roadmap for how to implement analytics. You’ll conclude with an exceptionally enlightening use case where a highly successful analytics proof-of-concept project ended without its implementation, and where and why on the analytics Roadmap misalignment can cause a derailment.
Digital transformation is more than an analytics tool, but a culture of making unbiased data driven decisions with analytics. You’ll learn the roles of business partnering along with the capabilities ladder of analytics and the value creation. Master the three I’s of Insight, Influence, and Impact to tell the business something it does not know with Insight that Influence decisions and Impact strategic direction.
Crystallizes and teaches the four components of an analytics culture of Mindset, People, Process, and Systems as well as the personas of an analytics culture of Reporter, Commentator, Advisor, and Strategist. These concepts are then assembled into a Roadmap that depicts “How To” implement an analytics culture.
Dives into the four personas related to decision-making of Support, Contribute, Influence, and Impact and describes the capabilities ladder with each persona to go from average to worldclass.
Teaches the skills, characteristics, and training matrix for each persona and what is needed to build an environment for people’s success toward digital transformation.
Encompasses two concepts of Data Governance and Decision Governance, with each requiring written processes to assure continuity. The former teaches that good data is everyone’s job and not an IT-only job, and the fastest path to clean data is by using data in analytics projects. The latter governance is novel and teaches that analytics must be incorporated in the decision process if it is to affect decision-making.
A wide-ranging examination from reporting to analytics, starting with the need to go beyond Excel, then venturing to distinguish between tools of data visualization and analytics, followed by the strengths, weaknesses, and applications of those tools, as well as best practices and introduces the concept of Systematic Intelligence™ to explore data to find insights.
Explores some of the many applications of AI-Enabled analytics across finance, sales, and operations as well as dispels the misconception of data visualization as analytics. Statistical and AI forecasting is extensively explored.
An enlightening review of an analytics Proof-Of-Concept (POC) with a restaurant chain that wanted to move decision-making from “gut” to data driven. The POC was highly successful but wasn’t implemented because a misalignment of Mindset between the operating executive and the CEO. The POC was broadly applied across operations and quantified the ROI per store.