Industries

The general class of problems that face our customers is turning data into something useful. With more than 100 combined years in enterprise software development, we started ThotWave to support business’s thirst for better, faster and cheaper data paths... improving time to decision. ThotWave has helped clients in a number of industries to truly deliver on production analytics. We encourage you to contact us for more information about how we can improve your time to decision.

  Life Sciences / BioPharma - Messy data, regulatory concerns, diverse user populations, slow-moving technology and relatively slow adoption of industry standards are some of the key pains in the Life Sciences industry. To remain competitive, companies must gain higher efficiencies in their use of strategic technologies. Knowledge management, such as repositories, use of SAS for analytics, data mining and data warehousing - all in highly dynamic, rigorous environments - require methodologies, reusable interfaces, and better ways to monitor key business drivers.

  HealthCare - The effective integration of human skill, technology and processes that meet regulatory, financial and public needs translate into a plethora of data and information needs. We help turn data assets into usable, profitable information that is delivered directly into the hands of decision makers.

  Government, Education and Non-Profit Research - ThotWave recognizes that the information needs of governmental, education and the non-profit research communities differ from the needs of for-profit companies. Results are often measured in progress made toward greater understanding, not dollars and cents. It’s an environment that is often more collaborative and innovative, and less burdened by the constraints of commercialization. For example it’s not uncommon for multiple entities to pool resources on a project; or for software to be repurposed in unique new ways to solve problems.

  Insurance - All of this industry’s major sectors-life and health, property and casualty (P/C), reinsurance, and brokers- are going through major transitions on many fronts: the regulatory environment, increased customer demands and technology, to name a few. The Insurance industry's competitive landscape has been entirely repainted within the last several years; operational efficiency is no longer a source of competitive advantage-it is a given to survive.

  Financial Services - With a legacy of sophisticated analytics and financial instruments, this industry is still burdened with data integration issues. From credit risk to fraud detection to risk management, our work in Financial Services primarily focuses on bringing together the right data in time for the right people to make profitable decisions.

  Energy - Data in Energy is plagued with unique nuances that make it particularly interesting: Data volumes - millions of transactions, pricing methods, market states, non-additive nature of calculations like Value at Risk - all of which make for interesting, challenging data transformation, storage and reporting.