Path to Big Data Adoption Success: Mid-market and SMBs

Techaisle's Big Data study of 3,360 businesses shows that mid-market businesses typically started their big data journey in one of four ways. However, the highest success rate (determined by reaching a successful implementation of a big data project within six months of initiation) was achieved when an external consultant or organization was brought in to develop proof of concept, advice on database architecture and ultimately develop the big data analytics solution.

Once a decision was made to embark on a big data deployment project, the mid-market organization tended to quickly align behind the initiative. They did realize that big data was not a typical cloud application deployment where independent department purchases could be made, nor was it infrastructure deployment where only IT could be involved. Big data required a new type of alignment between business heads, namely, Marketing, Finance, IT and a completely new set of players known as data scientists or data analysts.

Study shows that businesses are moving from “whack-a-mole” analytics to “business perspectives” to get newer insights into their operations and better knowledge about their customers as they rethink their marketing strategies because mobility, social media, and other transactional services have increased the number avenues for connections with their customers. There are many different tactical objectives for deploying big data projects but the top among them are sentiment monitoring, generating new revenue streams & improving predictive analytics. And businesses are expecting some clear cut benefits from big data analytics such as increased sales, more efficient operations, improved Customer service.