Despite the almost-daily business headlines touting how companies are becoming data-driven and adopting AI, behind the scenes the reality is not as rosy as headlines suggest. Experts estimate that as many as 85% of analytic projects fail to produce business value. That amounts to massive amounts of wasted time, effort and money.

Upon review, projects rarely fail because of technology, analytic talent, or platforms. Projects fail because of (poor or incomplete) human interaction. Business professionals and data professionals do not communicate with each other in ways that facilitate accurate transfer of key information. Further, neither group receives training in how to interact effectively.

In this session, we will examine the many reasons why data and business professionals miscommunicate (language, personality, style, training), and how a new type of professional —Analytic Translators —can facilitate successful information transfer and achieve successful analytic results.