It’s an awkward conversation. I sit there across from organizational leaders and ask “So, how many customers do you have now?”, “Maybe 300” one eager person at the table responds. “Wait” another says. “Are you counting customers that have subscribed but not paid yet? What about customers that are being backed out for failure to pay? What about
The world and the way businesses operate is quickly changing, it is up to each organization to step up to the challenge. The good news is that most organizations have the power to transform their business through data they are likely already collecting. Companies that are waiting for things to “go back to normal” will be left
In this series we have discussed some of the myths of business analytics, and important components to a successful solution including data lakes and intelligence on your data. Finally, it is time to put the presentation in place. This is where dashboard tools can really shine. Before embarking on dashboard development it’s important to review your questions and start to sketch out how you
In part 2 of this series we explored the importance of data lakes. With an established data lake, blending that data together in workflows requires analytics tooling. That tooling could include hiring data engineers and data scientists that can code the solution in any number of languages like Python or R. But if you don’t have those kinds of
In part 1 of this series we discussed the confusing landscape of business analytics and the components necessary for a complete solution. In part 2 of the series, we will discuss one aspect of business analytics solutions that is vital for success - the utilization of a data lake. The data lake is a place for all your data sources to enter
When 83% of companies believe their revenue is affected because of data quality problems, we need to take a look at what is going wrong. Few endeavors have received the media attention, promise, and even hype as the revolution organizations today are undergoing to become data-driven. But the value from that investment and work evaporates when the data
