Spry’s mission is to help companies gain strategic, competitive advantage by leveraging their data to quickly gain hidden insights. Expert in every phase of the Data Science process, Spry leverages a variety of technologies in the Hadoop ecosystem along with a proven methodology for supporting the unique analytic demands of enterprises dealing with highly distributed data. The Spry team is comprised of dedicated problem solvers who have the experience and technical ability to understand clearly the use-cases for analytics and data management which is critical to designing a solution that produces value.
When developing new analytics, data scientists can theoretically reuse 75% of data sets produced in Hadoop. Ironically, while Hadoop introduces an ideal platform for repeatable data processing, it is lacking any true data management capability, making discovery and reuse of data sets a significant challenge. Spry adds reusability to Hadoop allowing data scientists to spend more time analyzing and less time transforming raw data.
The Data Science process is iterative by nature, constantly changing, and often times unpredictable. Interim transformations in data can lead to unexpected revelations and hypotheses that require new vectors of exploration. Spry adds agility to the process ensuring the flexibility to keep development aligned with changing priorities.
Big data is just that: A big collection of data sets sourced and integrated from highly disparate data sources. But disparate data sources means disparate schemas. So the same piece of data may be named differently within each data set. This leads to process inefficiencies and inaccuracies. Spry adds standards and a common vocabulary to the integration process improving efficiency, accuracy, and speed of results.
Spry has a history of helping customers transform business goals and requirements into focused, well-scoped deliverables that produce immediate results. Our initial engagement model includes a series of eight-week pilots that leverage the Hadoop-technology platform and data science techniques to produce valuable insights into your data.
Spry works with customers at different points along the Hadoop adoption spectrum and can join a customer’s team at any stage to successfully deliver capabilities. If you are new to the Hadoop space, Spry can help identify the necessary hardware requirements and install and configure Hadoop clusters. If you are further along, Spry has expertise working with all major distributions of Hadoop3, allowing us to deliver valuable results regardless of your environment.
Getting a Hadoop environment up and running and producing valuable results quickly enables you to show continuous progress and maintain buy-in from various business units. It facilitates stakeholder confidence and goodwill, provides a roadmap to quickly start producing valuable results for your company, And it is just one of the many ways that Spry adds speed to insight, helping businesses harness the power of big data and hadoop.
Brooke has spent the last 10 years helping large organizations transform the way they use and manage distributed data. She currently serves as the Chief Information Architect for a Dept. of Defense Deputy Chief Management Office project, implementing a highly distributed data analysis capability. Her mission for Spry is to enable game-changing data management initiatives. She loves balancing business strategy, project planning, and solutions development to drive innovation. Prior to consulting, Brooke worked for MetaMatrix (acquired by RedHat) and BEA (acquired by Oracle), providing leading edge software solutions in data federation, metadata management, SOA, and governance. She is a graduate of Princeton University with a degree in Computer Science.
Kim has over a decade of leading edge industry experience in software development, predictive analytics, and machine-learning. She has worked in a variety of industries including financial services and with organizations such as HBO, DoD, DoT, Orbitz, and Disney. She has publications in the field of Artificial Intelligence, is an innovative thinker, and has a passion for data. Her career goals are to leverage advanced computer science to make data science meaningful to the business and a mainstream practice. Kim is a graduate of the Bronx High School of Science and holds a Bachelor of Science degree in Mathematics from Carnegie Mellon University, a Master's degree in Interactive Telecommunications from New York University, and a Master's degree in Computer Science from the University of Massachusetts at Amherst.
Todd believes competition breeds competition. As the primary advocate for Spry’s clients, he applies pressure to constantly deliver, which spurs innovation and helps people quickly leverage their talents and teammates, increasing the value produced. He has played many roles in his career, bringing with him hands-on engineering skills to help customers identify the best solution for their needs. At Spry, Todd has worked as a strategic consultant and information architect for the DoD and account manager in the pharmaceutical industry. In his current role, Todd develops Hadoop-based solutions that enable customers to quickly get actionable insights from their data, making them more competitive. Todd started his career as an analyst at an investment bank in Shanghai. He is a graduate of Princeton University with a degree in Operations Research and Financial Engineering.