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.
Data from GitHub can help your engineers quantify how they are doing.
Maintaining the performance and reliability of your API platform are two of the most important issues to ensure the continuing success of your product. APIs should run as efficiently as possible, and one way of safeguarding that is to rate limit, or constrain, the number of HTTP requests made in a given time period.
Automating repetitive processes is a key attribute in whole-product design. By combining payload observability with behavioral emails, Moesif is able to make you more productive through sophisticated workflows on many functional, performance and product issues. This article walks through how to set up playbooks that can save you time, resources and energy. We’ve highlighted a small number of key areas where our playbooks can assist you in the management of your product.
For life sciences organizations today, COVID-19 and an increasingly complex regulatory landscape are spurring an urgent need to launch new applications–fast. Yet a number of challenges stand in the way, including complex business processes, concerns about data security and integrity, and even just knowing where to begin on the right tech solution to put in place.
On August 18, we completed our Enterprise Data Cloud vision of bringing a truly hybrid cloud experience with the general availability of Cloudera Data Platform Private Cloud (CDP Private Cloud). CDP Private Cloud, which is based on Kubernetes (RedHat OpenShift), extends cloud-native speed, simplicity and economics for the connected data lifecycle to the on-prem world, enabling IT to respond to business needs faster and deliver rock-solid service levels so people can be more productive with data.
