I am passionate about helping my clients take control of their data. I do not use a single tool to get the job done. I bring the entire toolbox and the smartest co-workers in the industry. Together, we work with each client to find the right solution to their unique needs.
Because while all organizations need help with creating data literate cultures, moving towards predictive analytics, and establishing solid data governance practices, often times the job starts by simply listening. Thinking. Collaborating.
And when the time is right, we work together as a team to fix siloed data, multiple disparate sources, outdated systems that cannot scale, and a host of other problems that are holding good companies back from being exceptional and light years beyond their competition.
Simply put: I make data our client's most valuable resource and biggest influence on ROI. This is what gets me fired up in the morning.
This is an exciting time to work with big data. With the recent advancements in AI and machine learning, organizations can not only explore insights into their past data, but also predict future goals.
Even better, we are proving over and over that this does not take years to accomplish and a team of dedicated data scientists. We have deployed full scale solutions in weeks and created a culture of citizen data scientists who rely on relational search analytics to constantly ask questions and get instant answers. This also happens to be a great way to combat confirmation bias and make sure organizations are inclusive.
Working with my clients to establish data stewards and improve data quality is also rewarding because I often get to meet amazing people who genuinely want to see their organization succeed. They are the champions who understand the importance of data literacy and data governance.
Just like an effective nutrition plan, they often work best when they are personalized. There is no one size fits all diet and there is no one-sized fits all data solution. However, what we have found is most companies start out needing the same basic foundations from clean data to solid data governance and a strong data literate culture, to a database that is fast and can scale. Then we dig in, listen first, understand the culture fully, establish obtainable quick wins, and then we devise a data plan that is personalized and more efficient than any other solution.