When businesses seek out an analytics vendor for a data analysis project, they’re often hyper-focused on questioning and investigating the potential vendors’ backend, or engine. While the analytics engine ought to be checked, few custo
Without people, any project is doomed to fail. That may seem like an obvious statement, but in the realm of data analytics this truth is frequently forgotten or overlooked. Yet, it is people who bring the greatest value to an analytics project and
If you assume most analytics project failures are the fault of a weak analytics engine, you’d be mistaken. So, where do many analytics projects fail? Answer: during the final stretch – the presentation of results and insights – often re
There’s a saying that rings particularly true when applied to the world of data analytics, “A chain is only as strong as its weakest link.” As businesses dive into data analytics, they must choose a solution with an analytics eng
What good is your data if the tools you use to understand it aren’t easy to use? Within your data are clues about ways you can improve business processes, uncover hidden costs, and make overall better decisions for your business. There are a lot
For BI (business intelligence), speed matters a lot. How quickly you can attain information, analyze it and make decisions sets you apart from your competitors. A key step between the analysis of your data and informed decision making is the prese
The technology exists to allow you to capture, evaluate and analyze everything that is being said about your company, everywhere it is being said. Your clients, customers, and potential customers are all communicating in various outlets. They are
