Data is everywhere. But in its natural state data is far from succulent. Most raw data is in unstructured and in hard to decipher forms. Or hidden away in departmental silos. Or rife with missing values, duplicates, errors, and outliers. Any given dataset’s potential is, of course, limitless- IF you can manipulate it to reveal its insights. This was only modestly possible in the past due to inadequate compute power, storage, and bandwidth.
In recent years, that has all changed. Advances in hardware technology, along with the invention and acceleration of cloud computing, have turned the impossible into reality, and AI, DLT, & the Internet of Things are changing not only the business world, but the entirety of humankind. And this is only the top of the iceberg. We’ve only just begun. For the first time in history, it’s possible to unearth all the secrets that data has been holding… to make it succulent.
SUCCULENT DATA SCIENCE PROCESS:
1) Strategy. What are you trying to achieve (your goal)?
2) Gather all your data sources into one place.
3) Initial exploratory analysis.
4) Sanitizing & pre-processing, readying it for modeling.
5) Modeling. Turning the algorithms loose.
6) Visualization. Understanding & insights.
7) Rinse and repeat as needed.
As data scientists, technology makes all the marvels possible. But the tech alone isn’t enough. It has to be intelligently directed. Our goal is simple. We want to help you dominate your rivals. In whatever way that leveraging your data (making it succulent) can be used to achieve that. To that end, we need to understand exactly what you do and exactly what you want to achieve, so we can formulate a “game plan for you to win.” Because that’s what strategy means. Which is why nothing is more important than formulating and working from an optimum strategy.