When a consumer has opted to provide their data and real-time location information, brands need to think about all the ways they can use this data to make the customer experience more personalized and relevant.
Through the utilization of a physical store and an online presence, brick and click stores get a number of perks that either business model misses out on when flying solo.
From sending a tailored promotion when a customer enters a retail store to powering order-ahead food delivery, geofencing plays a key role in making mobile apps contextually aware.
Your customers are key - everyone deserves top notch service. But managing your customer service gets more and more difficult the bigger your company gets. Luckily you can use the same data visualization techniques that are bringing lots of value in other areas of business to customer service. That's what this guest post from JSCharting … Continue reading Improving Customer Experience (CX) with Data Visualization (DV)
One of the promises of big data is to power the Artificial Intelligence revolution. One of the realities of big data is that it is big. Data has been collected for years, with different architectures and different qualities. Oftentimes these databases started mixing with each other, becoming giant data repositories. And they have a name, Data Lakes. In this guest post by my friends at Tenfold, you will learn about Data Lakes and how you can use them. Dig in!