This document summarizes interviews with data leaders about challenges they face and best practices for delivering value from data. It discusses three key steps data leaders take: 1) collaborating for an enterprise-wide data strategy, 2) developing skills internally through training programs, and 3) increasing data sharing and integration. Examples are given of how data leaders in industries like insurance, manufacturing, and healthcare have used these steps to drive business benefits such as reducing fraud and accelerating clinical trials.
The VP of Data Science at a manufacturing company needed a more precise way to customize the sales approach
His team modernized the company’s IT infrastructure with analytic tools that leverage both structured and unstructured customer data, like e-mails and phone calls
The company can now map purchasing probabilities for specific products to individual customers, giving salespersons actionable insights
In the first three months of rollout, the tool has already generated $2 million in revenue
The CDO of a large media and advertising firm found that it was difficult and time-consuming to initiate analytical strategies on a global level
He went to his company’s top twelve offices in terms of revenue and identified with the local leadership a data and analytics expert at each
This all-star team connects virtually and has identified the KPIs of increased revenue and product development milestones
A year after having data practices that were disparate and disconnected across geographies, his team can now roll out standardized strategies in new cities in a matter of weeks.
The CDO of a large media and advertising firm found that it was difficult and time-consuming to initiate analytical strategies on a global level
He went to his company’s top twelve offices in terms of revenue and identified with the local leadership a data and analytics expert at each
This all-star team connects virtually and has identified the KPIs of increased revenue and product development milestones
A year after having data practices that were disparate and disconnected across geographies, his team can now roll out standardized strategies in new cities in a matter of weeks.
The decentralized nature of a city government, which has various teams in various physical locations, limits the ability of analytics personnel to collaborate
The city’s CDO examined the most prominent data and analytics issues across departments
She created a data academy targeting those common problems that offers free, two-hour classes hosted around the city covering a range of skills
The academy has been a huge success—with fully enrolled classes and waiting lists—that will help standardize the level of data literacy across the City over time
The clinical trials required to test new drugs are extremely expensive and time-consuming, and half of them recruit one patient or less
At a clinical research organization, a CDO and his team built an advanced platform for clinical data integration and real time monitoring of clinical trials
The tool allows users to reduce the time it takes to recruit patients for trials by as much as six months
The company has since signed large deals with two top-ten pharmaceutical companies to use the platform in their research