Have you ever felt that, by looking at just numbers, that you are probably missing out on the bigger picture? That’s, of course, why we have visualizations – to form patterns out of those numbers that we can then interpret, as well as glean insights from and deepen our understanding of what the data reveals. Now, what if we bring numbers and visualizations together in a table, one way to explore those numbers and find hidden gems of meaning? Let’s have a look at mini charts!

For a business to be successful, customer relationship is a determining factor. No matter how big your venture is, without an efficient customer-business relationship it will surely suffer a crash in revenue at some point. This is particularly valid for online businesses and e-commerce stores that offer direct retail service to consumers. They have a larger customer base and it’s very hard for such platforms to manage every aspect of the retail.

Learn how Drizly uses analytics to help connect customers with their favorite beverages.

Did you know that 96% of customers say customer service is important in their choice of loyalty to a brand according to Microsoft’s State of Global Customer Service Report? Likewise, 68% of customers say the service representative is key to a positive service experience. With statistics like these, it’s obvious that customer support is a top priority for companies and we don’t take that lightly.

Previously in our hypergrowth series, we spoke about the business and cultural aspects of hypergrowth. We highlighted guidelines such as focusing on sales enablement and empowering your employees as a means to ensure that your company culture can be sustained as your business grows by 40% year over year.

COVID-19 and its impact have demonstrated that change can be rapid, disruptive, and non-negotiable. This is especially relevant to enterprise risk management, where the challenge can be summed up in one word: recalibration. Many financial institutions have been investing in model-driven analysis and data-anchored approaches. We know that the models themselves must adapt as situations change. But what about the processes and policy governance that surround these models?

There’s no doubt that cloud has become ubiquitous, and thank goodness for that in 2020. We wouldn’t have survived the challenges of this year without cloud. It’s supported everything, from the sudden changes in the way we work to the way we access healthcare and even shop for vital goods. While cloud is the vehicle, it’s what sits on it that makes it so valuable — data.

Go ahead, search the interwebs. There are more posts and articles on “The Ten Commandments of Test Automation” than you can shake a test case at. Go ahead…I’ll wait. Welcome back! To set the stage, I have not read any of those articles. Well, more accurately, I’ve not read any of them recently; most of them I’ve not read at all. I probably read one or two of them in the “before times,” but I don’t remember any of the specific commandments.

With a modern data stack, Branch Insurance joins data from its transactional database and apps to visualize acquisition cost and lifetime value in real time.

Data from GitHub can help your engineers quantify how they are doing.