Personalized Customer Experience is one of the many ways major retailers continuously improve customer service and increase sales. The analytic techniques we mention in this blog have been used by major retailers around the world for decades. The worst part about all of this – small businesses don’t even know these technologies exist.
Welcome to Part 2 of our 3-part blogpost series where we delve into the topic of “how deep data analytics will dramatically change your business.” In this part, we will explore the importance of “data” for businesses, ecommerce and traditional brick and mortar retailers of all sizes alike and how “data” significantly improved the financial results in the Himalayan java eco-system.
In our quest to make companies like Himalayan Java, the largest coffee chain in Nepal, more data-driven, we’ve learnt a thing or two about what retailers need to know when it comes to data and data analytics. For the benefit of other retailers considering a move into more data-driven operations, we thought we’d list out the lessons we’ve learnt so far.
At Xabit, we get a lot of calls from potential clients wanting to use our services to build dashboards for themselves and/or for their clients. We’d like for you to understand that there are three basic buildings blocks of any dashboard.