With each day, leveraging data becomes more paramount for your organization to become and stay effective or competitive. Yet market research studies continue to report that 60-70% of the efforts in data do not meet expectations. Some studies have even suggested that this failure rate has reached 80%. Why is this the case when there is so much information about all the supposed best practices?

Unfortunately, we seem to repeat the same errors. The focus for data and analytics continues to be on skills and tools that may enable organizational competency in data. However, the vast majority of the failures to meet expectations in data are because the organization as a whole is poorly set up for data and analytics to operate, if at all.

It turns out that the most critical success factors in data and analytics are not the technical skills or the tools. It is possible, and even potentially more likely, to succeed in data and analytics without hiring a single full-time data science developer.

Understanding what it takes to be "data-driven," or better yet, "insight-oriented," puts the organization in a position to meet these expectations and get the value and the return you expect. This course introduces the critical factors for the successful development of an insight-oriented organization to reduce the likelihood of becoming a part of the 60-70% that fail.