Systems | Development | Analytics | API | Testing

If you have read our previous post focusing on the challenges of planning, launching and scaling IIOT use cases, you’ve narrowed down the business problems you’re trying to solve, and you have a plan that is both created by the implementation team and supported by executive management. Here’s a plan to make sure you’ve got it all down. Think of these success factors like the legs of a kitchen table and the results that you desire, a bowl of homemade chicken soup.

At this year’s Snowflake Data Cloud Summit: Data Together Now, customers and partners from around the world came together to explore the transformational power of data and Snowflake’s vision for bringing the world’s data together in the Data Cloud. Over the course of two days and 70 sessions, attendees were inspired by keynotes, learned from their peers in customer and partner sessions, and participated in hand-on labs and technical deep-dives.

The thing about data is there’s no end to how much of it you can collect and keep. Each day, if you’re like most of the global banks I work with, you’re generating oceans of the stuff. Yet the bulk of it will never be very helpful or even relevant to your day-to-day business decisions.

In a telecoms industry differentiated mainly by service and threatened by churn, gaining access to timely customer data initially drove internal demand for analytics and BI (ABI) reporting. When demand grew beyond customer service, our IT team really struggled to keep up. This set us off on a journey to find ways to help our colleagues to find insights and the answers to their questions themselves.

When dealing with payments, speed is king. Technology is increasing the speed at which innovation happens, and nowhere is that more apparent than how everyday commerce is transacted. Credit cards are now built with tap-to-pay capabilities, if you still even have a physical credit card. Phones have become the new credit card, with data from transactions and mobile banking adding to the overwhelming amount of data that can be collected.