La Comisión de Valores e Intercambio de Moneda de India ( ha elegido el software de business analytics de la compañía de soluciones de Business Intelligence Sas ( para su departamento de investigación, el cual lo usará para detectar transacciones sospechosas y para estimular la confianza de los inversionistas. Más abajo la nota de prensa íntegra en inglés.

Increasing regulations and scrutiny demand sophisticated analysis and monitoring to spot market malpractice and trading compliance. To achieve the robust surveillance required to ensure unbiased trading platforms, the Securities and Exchange Board of India (SEBI) chose SAS, the leader in business analytics software and services, for its investigations department. Comprehensive data integration using SAS data warehousing and business analytics speeds investigation of suspicious transactions, boosting investor confidence.

«Pulling data into our warehouse and analyzing it the next day is our single most important task,» said Avneesh Pandey, General Manager for SEBI. Pandey heads technology projects for the organization’s surveillance, investigations and research departments. «With SAS, we maintain uniformity, making data easier to analyze. The result: smarter investigations for quicker results.»

Committed to attention to detail and ensuring market safety, SEBI’s investigators and analytics group use SAS to analyze market behavior. To handle data growth and build a tighter fraud surveillance and investigation platform, SEBI sought a robust warehouse, high-end analytics, and better predictive modeling and text mining.

«SAS offers superior data integration and management – the core of our data warehouse,» said Pandey. «Data loading is crucial. We collect about 25GB of data per day and project reaching 80GB per day in two years. With SAS, we can accelerate the process of utilizing this data.»

Besides addressing growing volumes of data, SAS gives SEBI a single view of customers across exchanges. SEBI can now establish relationships between market participants and generate more accurate fraud alerts based on market participants’ behavior. SEBI also wanted to tap unstructured data, including analyst recommendations, blogs, annual reports, etc. to understand social media impact on investor behavior.

SEBI uses SAS Enterprise Data Integration Server to load their warehouse with disparate data from multiple exchanges countrywide. The SAS Data Quality component cleanses, standardizes and removes duplicate data to build a single-entity view of market participants.

SEBI intends to build analytical models using SAS® Enterprise Miner™ to identify known market manipulation patterns such as circular trading, pump and dump, insider trading and front running. SAS helps to identify unknown patterns for investigators to analyze and detect any new market manipulation patterns, increasing efficiency and effectiveness in market surveillance and investigation.

«The last thing you want is to waste time chasing down things that don’t turn out to be fraud,» said Pandey.

SEBI views its data warehouse as an intelligent system where analytics run within the warehouse, rather than outside. With SAS Scoring Accelerator , the data warehouse processes core statistical and analytic functions, reducing movement of data and taking advantage of parallel processing. It also prevents data inconsistency while promoting better data governance.

Today’s announcement came at The Premier Business Leadership Series event in Singapore, a thought-leadership conference presented by SAS that brings together more than 600 senior-level attendees from the public and private sectors to share ideas on critical business issues.


Por Editorial