How to Add Value on Big Data

There are thousands of things to note every moment. Words, visions and sounds are the popular ones in the present society. Others, taken into account by millions of people now and in the past, are smells, emotions, state of mind and body, time of day and year, even time of decade or the millennium not to even mention the really intangible ones. These things, as not collected or even named by the marketeers are considered as fuzz in the means of marketing data.

Added Value of Big Data / Meri Seistola

Straight to the Point

The fleeting niche where the providing part is to convert the consumer’s attention into action must be filled with lure and confirmation. There has to be something so different and assuring, which dimms all the fuzz around the consumer and the very moment. To reach this goal the message offered has to be timed right, feeded by right media and – above all – essential. Going straight to the point.

What’s the Point?

Big data is available both for consumers and about the consumers. In order to avoid crucial mistakes such as advertising car washes for non-car-owners the data collected or purchased has to be matched. According to the classical Ackoff model digging big data leads to information, such as ‘who owns a car’. Matching the data with the information on car wash shops in the area, consumer behavior and other relevant variables provide knowledge. In this case the marketeer knows the point of interest of the consumer.

Adding Value

All this can be and is often done automatically, or with just little intelligent effort. My insight is, that the real wisdom beyond this point is only human. To add the last 20 % value to the plan and its execution requires a thinker. A broad-minded analyst sees out of the box, is able to interpret the thousands of weak signals of the moment or curate the seeds of change. This is the added value which makes the exquisit use of big data. The more expensive the data, the more important its ROI.