CP's proprietary Business Process Automation platform plays
a key role in the company's day to day operations as well
as in providing services to its' clients. Developed in house
and proven in hundreds of mission critical implementations
around the in globe the platform has been used to intelligently
automate analytical business processes for credit risk ratings
and financial modeling. By combining appropriate levels of
automation and workflow CP is capable of both sourcing information
and delivering analysis each in a very timely, low cost and
high quality fashion.
The Business Process Automation platform is used in house
to source global financial information. The platform provides
CP operations with fast, accurate and comprehensive data
sets from public filings around the world. Extraction capabilities,
automated processes and workflow allows the CP data sourcing
group to efficiently collect and effectively process information
while managing the inevitable exceptions inherent in the
process.
Automated extraction and processing capabilities
The Extraction component collects data from highly unstructured
documents and includes operating data and information from
foot notes. Once extracted the data is normalized, validated
and undergoes Q/A checks. Initial drafts of financial models
and credit ratings are then generated for final analysts'
reviews and quality assurance checks. CP's Model
Factory applies the same approach based upon a client's
business logic and methodologies.
Business Process Automation applied to analytical lifecycle
CP's Client Services team employs the same Business Process
Automation Platform in delivering world class services.
Through many years of using the platform the CP team quickly
builds service based applications tailored to customer specific
processes, data integration points and methodologies as
well as enabling client collaboration points along the way.
Our client's benefit from top line improvement. In addition,
they achieve very flexible, low cost, and high quality business
processes while avoiding the management overhead and uncertainties
associated with typical service based offerings.
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