Data exploration, either self-lead or guided by hypothesis testing, uncovers trends and patterns and leads to a broader view of the business which, in turn, enables us to understand, summarize, and gain insights about the most relevant issues at hand. Exploring the data gives us the input for building the kind of visualizations that will efficiently and effectively demonstrate the insights and support decisions from functional experts as well as leaders. The quality of any data analysis and its communication depends on how well the data visualization is chosen and developed. Inadequate data visualizations can lead to higher complexity and restrictions to perform some analysis or even worse, to inaccurate results. Choosing the best kind of visualization requires a deep understanding of the problem it intendeds to solve, and weighting in other factors, such as who is going to use it to support a decision, the kinds of analysis that might be needed and the risks involved. We offer more than just bets practices in technology, statistics and visualization. We engage with each client’s specific needs to provide a custom and vibrant user experience. With DHAUZ, the client gets measurable value from data and sees the true meaning of Analytics in Action.