So you have got your data unlocked, a way to organize and pull insights from it and a visualization tool. You have gleaned insights of real value and want to share them. What's next? It is time to tell a story with that data. Data storytelling is more than just visualizing that information, it is
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
While this past decade has shown some remarkable advancements in business analytics tooling, we have also seen tremendous challenges arise in their successful use. Why? Very few organizations have the bandwidth to identify what is needed to complete a business analytics solution, unless they have experts on staff and an informed leadership team ready to
One of the simplest ways to get started with a software product for your customers is to automate the review of data. That is especially valuable when you can identify events, anomalies or patterns and notify your customers. This pattern of product is easily monetized because the value proposition is simple. Use smart machines instead
Interested in a counter-intuitive statistic? In one survey successful business intelligence project leaders reported getting value from their implementations more than twice as fast as those that failed to meet their objectives. A natural tension usually exists between speed and impact. When one is prioritized in technology, too often the other suffers. As indicated in
When Blacklight evaluated technologies for the partners in our platform, the cloud provider was a major piece of the decision. We needed a partner that was robust, provides virtually infinite scale, clear pricing and most of all the breadth of tools our customers most need. While other providers offered great integration for a specific stack,
