In the world of data, terminology frequently overlaps and all of the acronyms and buzzwords can get confusing. For practical purposes, AI and all the rest fall under the guise of data science, and regardless of their name, all are essentially tools to the data chefs of Succulent Data use to provide business solutions. To that end, data analysis is a fundamental component of every business solution we offer.
While data collection and cleaning are critical steps to ready and prepare the data, it requires a methodical and careful analysis to reveal patterns, connections, and correlations that companies can then use to make data-driven decisions. This analysis can be broken down into three different types: Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics.
THE SUCCULENT DATA PROCESS.
At Succulent Data, admittedly one of the reasons we call ourselves data chefs is to add a bit of levity to what is a very complex and dense field. But, in addition to that, the parallels are really quite striking between the culinary world and the data world. Comparing the two can make data science more approachable, easier to understand and relate to. Check out the flip boxes below to get a taste. Bon appetit.
At Succulent Data, we don’t help our clients compete. Our level of support and commitment is higher than that. We want them to dominate in their industry by having the insights they need to make smart data-driven decisions. The only way to achieve that is through consistent, open, frank channels of communication during every step of the process. It’s a promise a client and us make to each other in the very beginning and is crucial in producing the results we all need and expect.