Compliance is gaining more importance with the fast growth of digital data within the intranet, extranet and cloud adoption . One of the biggest challenges for Big Data for any organisation, goverment,company is effectively controlling compliance rules adherance . Accordingly comprehensive compliance rules are being defined. However, their adherence has to be monitored and countermeasures have to be initiated when violations are identified.
The following premises are connected to the control of suspicious transactions :

  • Effectiveness, in other words immediate and consistent identificationand
  • Efficiency, in other words to minimize the allocation of resources.


It‘s easy to define compliance rules, but it‘s not that easy to effectively control their adherence. Automated audit measures are often combined with manual activities. The challenge is to integrate
the data from every relevant system and to identify compliance transgression.

The monitoring process is complicated by the need to retrieve all relevant information and the fulfillment of the premises named above. Data is often stored in several sources or formats and has to be collected and integrated manually.This reduces efficiency and enables mistakes , thus poses difficulties and challenges to the
audit/compliance officer or department.

YES , there are tools and ways to deploy,to report and automate rules ..but what about TIME ! What about COST implicated!….

If a One system can provide a central access cockpit to information, across all data sources and data formats, and quickly identify Noncompliant actions and transactions by understanding the data relations then matching indexed datawith defined compliance rules ,then Not only this will ensure comprehensive Compliance Monitoring but as well Effective control becomes reality.