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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.
 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
BioPharma 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.
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.
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.
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.
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.
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