Solutions
  
   D2K Distil

   D2K Secure

   D2K Developer



Contact Us  
Home Solutions Services Company Contact  us

  If you're in the information business or your business runs on information, your company spends money on structuring that information every day. Whether it's manually extracting, aggregating or linking to any kind of information from multiple sources either on the web or over an internal network. D2K can help you to transform your data into knowledge faster, more effectively and for lower cost than ever before.

  D2K Distil
Key financial data found and extracted more accurately, faster and for a fraction of the cost
  D2K Secure
Dramatically decreased response times help security departments combat fraud.
  D2K Developer
D2K's core extraction engine is available for custom applications and integration into your existing systems.

D2K Distil

Key financial data found and extracted more accurately, faster and for a fraction of the cost

A wealth of competitive financial data is provided on a daily basis by corporations via mandatory public filings but the key numbers and comments are hidden in lengthy documents, non-standard tables and complex footnotes which makes the data costly to structure for further analysis.

D2K Distil uniquely combines technology and human intelligence to process source documents such as SEC or other US, UK and EU public filings and turn embedded data into structured, organized, normalized relational databases. Through a combination of proprietary technology and an experienced extraction and Q/C team, the data output exceeds all timeliness and quality standards previously available. As 80-90% of data are extracted automatically, costly human processing is limited to correction, exception handling and quality control, offering substantial cost savings.

For example, a Fortune 200 company outsourced to d2k all their data extraction needs from form dEF14 and 10K filings. D2K was able to increase captured data by 30%, substantially improve data accuracy, while reducing data acquisition cost to the client by over 50%. See D2K Distil: Financial Data Solution Snapshot for further details.

D2K Secure

Dramatically decreased response times help security departments combat fraud.

The success of preventing fraud depends on the capability to detect and recognize suspicious system usage patterns. Audit records are generated rapidly in real time, often by several systems in different log file formats, making it is extremely difficult to view them in a parallel and recognize patterns across sources.

D2K Secure transforms the contents of an unlimited number of log files into a single structured database. Instead of masses of irrelevant data, security analysts are able to view relevant patterns with full links to the original audit trail sources. D2K Secure generates real time alerts when suspicious usage patterns are recognized in the logs.

D2K Developer

D2K's core extraction engine is available for custom applications and integration into your existing systems.

Please see D2K developer white paper for further information on D2K's core technology.
 


 
 
Extraction:
Identifies relevant data from unnecessary and irrelevant items
Handles wide range of unstructured and semi structured data sources
Defines data source and creates a navigation hierarchy
Extensive API's allow additional data source descriptions to be created rapidly

Transformation:
Transforms individual pieces of data into other representations
e.g. converts currency
Transforms the overlying data structure into another
e.g. renames fields

Integrated Data Processing:
Data retrieval, extraction and transformation can be controlled by previously extracted data
Relationships between data records are handled automatically
Structured data is output into many different formats e.g. database, XML, email or SMS notifications
Data processing configurations can be accessed from external applications.
Massive scalability regardless of physical level of integration (multiprocessing, clustering or distributed computing)
API's allow additional data or text filtering algorithms to be easily integrated

White paper