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Deloitte Analytics in DU Press

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Deloitte University Press publishes original articles, reports and periodicals that provide insights for businesses, the public sector and NGOs. This page is a collection of analytics-related articles and videos featured on

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Too big to ignore
Much of the language surrounding big data conveys a muddled conception of what data, “big” or otherwise, means to the majority of organizations pursuing analytics strategies. Big data is shrouded in hyperbole and confusion, which can be a breeding ground for strategic errors. Big data is a big deal, but it is time to separate the signal from the noise.
Big data 2.0
For many businesses, research suggests that the focus on efforts related to big data has been largely on improved efficiency and operations. While those opportunities are impressive, the possibilities as to how big data might be used to ask new business questions and meet market needs can be even more intriguing.
Telling a story with data
Despite the respect it commands in concept, analytics can be difficult to explain and understand. As a result, analytical capabilities may not get used effectively as decision makers fall back on their intuition or experience. Yet there are approaches that can help quantitative analysts tell a story with data and tactics that can help decision makers develop beneficial relationships with analysts.

Watch the videos

Why are some firms struggling to implement talent analytics?
Author Tom Davenport and Deloitte’s Jeff Schwartz believe there are technical stumbling blocks to adopting talent analytics, but they’re not big enough to hold companies back; leadership commitment can help talent analytics take off.
What is talent analytics, and how are companies using it?
Author Tom Davenport and Deloitte’s Jeff Schwartz discuss the bifurcation of how companies use data analytics for recruitment, retention, and succession planning—some are flying high, while others have yet to lift off.
What are the most advanced adopters of talent analytics doing right?
“High-fliers” have mastered the art of combining the leading thoughts of managers with the unique insights that data analytics brings to make better decisions, according to author Tom Davenport and Jeff Schwartz of Deloitte.
What does big data really mean and how do you create value from it?
Deloitte’s John Lucker and Jim Guszcza join Wharton’s Elea Feit for a spirited discussion of the hallmarks of big data and why the term is breeding fear and uncertainty, yet when applied strategically can generate enormous value for an organization.
What are the elements of a successful big data strategy?
Wharton’s Elea Feit discusses what successful organizations do relative to data architecture with Deloitte’s John Lucker and Jim Guszcza, and the panel describes three necessary types of capital for success.
Want tangible examples and big data success stories?
What do successful organizations do when approaching analytics and the notion of big data? Join Deloitte’s John Lucker and Jim Guszcza, and Wharton’s Elea Feit, as they exchange ideas on monetizing data assets, the importance of privacy and data governance, and how consumers benefit from the strategic use of data assets, tools, and techniques – and find out why there’s a lot of room for innovation.


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