News
Datawatch Panopticon and AquaQ Analytics Expand Partnership to Bring Advanced Trading Analytics to the Capital Markets
January 2017 by Marc Jacob
Datawatch Corporation announced an enhanced partnership
with AquaQ Analytics, which will deliver advanced trading analytics and
consulting services to leading banks, brokers and fund managers. Joint
customers will now benefit from Datawatch Panopticon with kdb+™, as well as the
availability of consulting resources in New York and London to support firms
making tick databases the center of their trading data warehouse, and central
to their MiFID- and MiFIR-based reporting and analytics.
Announced in early December, Datawatch Panopticon 16 is the most advanced
visual analytics platform for the capital markets industry. The solution
provides faster trading analytics for expedited time-to-insight, and addresses
the need for real-time and historic views for trading effectiveness. AquaQ
Analytics is an independent provider of kdb+ consulting and training services
for clients operating within the capital markets sector. The company also
offers the Open Source TorQ Framework for kdb+, which is used by many Datawatch
customers to manage their kdb+ infrastructure for enterprise delivery.
While the need for execution analytics, along with the convergence of trading
and compliance analytics, is widely acknowledged, many organizations do not
have the right tools and architectures in place to unlock their information
assets. Many firms struggle with business intelligence (BI) tools, such as
Tableau and QlikView, on top of their tick database, and with importing and
exporting data on a daily basis. Others cannot scale effectively as they
provide analytics to a wider user group, or they drown in internal development.
Organizations can now leverage Panopticon to natively connect to their tick
database, delivering real-time streaming views of trading effectiveness, and
intra-day and historic views down to the last tick. AquaQ Analytics supports
efficient deployment by providing the underlying tick database architecture,
which scales to high volumes of concurrent users, as well as the expertise in
common customer trading and compliance analytics use cases across asset class.
