Small analytics projects that can lead to the biggest returns for organizations can also fall by the wayside when they must compete for attention with other priorities inside the business -- for instance other analytics organizations, roles, and data efforts.

That's according to Andrew Wells and Kathy Chiang, authors of the new book Monetizing Your Data. They should know. Both have worked with organizations for decades, helping them shepherd their analytics programs to turn insights into value.

"When we first started tackling this problem, one of the key challenges we noticed was the siloed approach to development and distribution of analytic information," the authors wrote in the preface to their book. These days more self-service efforts are helping improve the negative impact of some of these gaps. But gaps remain, and that means that organizations are not getting the full value out of their analytic investments.

So how do you fix it? Wells and Chiang compiled their approach in their new book, and will be talking about both the book and the approach on AllAnalytics radio on Wednesday, March 29 at 1 pm ET/10 am PT. (Register now for the show: Monetizing Your Data: Turning Insights Into Action.)

They bring their experience with real-world challenges in the field to their approach to analytics.

Wells is CEO of Aspirent, a management consulting firm focused on analytics. He's spent 25 years building analytics solutions for a wide range of companies, from Fortune 500s to small non-profits. Chiang is an established business analytics practitioner with expertise in guided analytics, analytic data mart development, and business planning. She currently serves as VP of business insights at Wunderman Data Management, and has also consulted with Aspirent on several projects with clients including IHG and Coca Cola.

Wells and Chiang's book arrives at a challenging time for analytics programs and projects.