Moving CPG Analytics From Hindsight to Foresight

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Moving CPG Analytics From Hindsight to Foresight


Perception and reality disparities of how many consumer packaged goods (CPG) companies are using analytics to guide their decision-making, and in turn, their ability to improve the customer experience and gain an advantage, underscores key insights of a new study by Accenture.

According to the global management consultancy’s "Building an Analytics-Driven Organization," more than half – 54 percent – of CPG executives say their company has a fully defined analytics operating model. In contrast, just 9 percent say their company has implemented an analytics operating model in its entirety, while 15 percent reported that the plan has been only partially executed across the geographies in which they operate. Further, 40 percent of the respondents noted that their company has only partially defined an analytics operating model, but 14 percent of those CPG executives say their company has not implemented one.

Accordingly, Accenture’s latest global research study – which aimed to understand how CPG companies are using analytics in their decision-making processes in the three areas of challenges and priorities, organizing and governing, and capabilities – denotes a perception/reality disconnect between how CPG executives perceive their companies' maturity in analytics, and the actual state of their analytics efforts.

To wit: Although 47 percent of the executives described their companies as either "analytical leaders" or having "ingrained analytics," the analytics teams of many of the companies represented in the survey remain focused on merely "pulling data" rather than actually using data to develop insights. Moreover, nearly one-third (32 percent) of the respondents admitted that their analytics employees are focused on the management of big data while just 9 percent said they have made a priority of predictive analytics, which generates information that can enhance longer-term decision-making.

Hindsight Hinderance

"The research indicates that the analytics functions of many CPG companies are producing hindsight descriptions of what has happened, rather than delivering forward-looking insights that can be used to make well informed operational, managerial and strategic decisions," said Bob Berkey, managing director in Accenture's Consumer Goods & Services practice. "CPG companies need to focus more on implementing an analytics operating model that puts analytics-driven insights at the heart of their decision-making process. Only then will they be able to realize true value from their analytics investments and achieve increased efficiency, speed, flexibility and profitability."

Added Julio Hernandez, managing director, Accenture Analytics North America: "Today's CPG industry is focused on four imperatives: a better understanding of consumers; reducing cost and increasing service levels in the supply chain; enhancing relationships with retailers; and hiring and deploying the right talent. In each area, big data analytics techniques and underlying technologies can provide a competitive edge by offering actionable insights from multiple sources of data,” including business, third-party and contextual information, often in real time. “The greatest benefits,” Hernandez added, “will be achieved by companies that speed up and automate the analytics process and systematically infuse data-based insights into their operations."

Accenture's study – which surveyed 90 CPG executives with responsibility/oversight of analytics in organizations with revenues of more than $2 billion – also found that many CPG executives are more focused on utilizing technology, rather than talent, to enhance their analytics capabilities. Specifically, analytics technology was named by 37 percent of respondents as their top priority in analytics, followed by analytics governance, at 31 percent. By contrast, only 8 percent of the executives surveyed ranked talent as their top priority in analytics, while 55 percent ranked talent last on their list of analytics priorities.

Instilling an Analytical Culture is Key

Despite the talent ranking, the survey shows that almost three-quarters (73 percent) of respondents are, in fact, actively hiring analytics talent, even though many say they are still defining their analytics talent needs. Two out of five executives – 42 percent – said their current talent focus is to determine the analytics roles they need to fill, and the skill sets in greatest demand are data modeling (53 percent) and data mining (44 percent).

"Although the development of analytical capabilities and capacity is extremely important, a focus on data, methods and technology alone will not magically deliver the insights needed for competitive edge," affirmed Berkey. "CPG companies are investing in analytical talent but now leadership needs to focus on instilling the right analytical culture and create, champion and sustain an analytics vision. And front-line practitioners need to combine their technology abilities with problem solving and data analysis skills to deliver bottom-line business benefits."