One of the many definitions of big data is the “ability of society to harness information in novel ways to produce useful insights or goods and services of significant value.” The key to this definition is “useful insights.” Insights can be derived by data but are developed and curated by real-life experiences and circumstances. Successful businesses recognize the difference between “knowing” their consumer and “understanding” their consumer. It is the intersection of the two that gets to the heart of making big data productive.
Data can be very efficient and practical, as it is physically impossible to have a one on one dialogue with every consumer, but context and relevancy cannot be ignored. After all, business is still a human transaction. Spending time with your consumers whether it’s through one on one conversations, focus groups, or surveys offer a better way to uncover their true motivations to purchase. Understanding these will enable you to build an emotional connection with your consumer that will translate into building long- term trust, which is vital in today’s competitive landscape. Consumers are infiltrated with so much messaging that they are looking for the brand or service to understand their wants and needs. Big Data has no emotion and alone cannot possibly understand how to connect with consumers on an emotional level.
Learn how we are connecting Big Data with emotional and contextual relevancy for the automotive industry