Volume. Variety. Velocity.
The evolution of the Saama Data Scientist is an important component in marrying technology to business problems. Our unique skillset is in synthesizing various sources of data (including unstructured data from internal social media deployments and external forums), understanding the trends, and then selecting the right set of algorithms for data discovery. Machine learning systems can only do so much. Data Scientists combine their background in statistics, data modeling and analytics to create order from seemingly chaotic mounds of Big Data.
"We live in a data-driven world. Increasingly, the efficient operation of organizations across sectors relies on the effective use of vast amounts of data. Making sense of BIG DATA is a combination of organizations having tools, skills and more importantly, the mindset to see data as the new "oil" fueling a company. Unfortunately, the technology has evolved faster than the workforce skills to make sense of it and organizations across sectors must adapt to this new reality or perish." - Andreas Weigend, Ph.D Stanford, Head of the Social Data Lab at Stanford, former Chief Scientist Amazon.com
The iterative work and keen insight of our Data Scientist really sets our solutions and services apart. In many cases, the data that generates the key signals changes over time; and needs and priorities of the business change over time as well. While the system and algorithms can evolve at a natural pace, the Saama Data Scientists can often drive increases in the efficiency of solutions through rapid iteration. Saama Data Scientists are building added expertise daily and are expanding their knowledge of data sets and vertical processes as well.