BIG DATA CHALLENGES

Why You Should Care?



In recent years Big Data has become a subject that fascinates and, at the same time, raises many questions. It’s mostly a subject of interrogation for companies: should they engage in a promising approach but whose benefits can’t be measured in the medium term? Are these Big data yet another tech fad whose return on investment is more than hypothetical? Should companies adopt a wait and watch attitude observing how competitors deal with that before investing in technologies whose benefits, on paper, are far from being proven?

One thing is certain, the increasing importance of massive data leads companies to think more seriously about it. Because these data are strongly needed by companies in order to get a more extensive customer knowledge in order to anticipate his demands, provide better service, design products and services that respond without fail to anticipated needs. In short, massive data analysis seems to meet the needs of organizations to react as early and as quickly as possible to market demands, ideally in real time and even predict market demand for better answer.

What challenges for companies?



What are the challenges and the expected benefits of Big Data? Undoubtedly, this new data approach is a factor of innovation for enterprises by new uses it creates. On the client side, massive data promise better quality service, more personalized and responsive services. On the business side, these data make it mossible to have this 360-degree vision that all decision-makers dream of, a vision that acts on all communication channels and company’s interaction with its customers. A 360-degree vision that brings unparalleled knowledge of the client, with all the benefits that can be expected from information as precise and sharp, but that requires putting the customer at the heart of the organization.

But current systems are not organized in this way. Each channel of communication with customers is managed with a dedicated business application with its own customer data. This silo architecture does not expect to disclose all business applications hitherto autonomous. Put the given customer at the heart of business practice involves communicating these business applications, which poses a number of challenges, both technical and organizational.

The implementation of Big Data projects requires above all the involvement of the business directions, general management and business managers. It requires centralize all analytical processes around a single repository (customer data) to rethink the respective business models and value chains. Finally, the implementation of such projects makes it essential transverse steering between business applications for better coordination.

One of the major challenges is abandoning a silo vision of an information system in favor of a multi-business cross customer-centric vision. A major site for any business that wants to provide the means to enjoy the benefits of these massive data.

See also: Definition