Pricchaa provides solutions to detect and protect sensitive information. We help companies to examine both structured and unstructured data to ensure compliance with applicable regulations and company policies to prevent data breaches and abuses.
Our solutions leverage machine learning algorithms to parse and process structured and unstructured data to identify the presence of the sensitive information. We use multi-node parallel computing paradigm to achieve lightening fast speeds.
Our History
Data creates value in today’s information-driven organizations. Much of the value can be lost in the absence of a well-defined data governance program. We define data governance as the processes and procedures to ensure quality, availability, usability, security and privacy of the data.
In today’s interconnected economy, organizations are constantly exchanging large volume of data in a variety of formats through a number of channels (e.g. cloud, B2B) with its customers, vendors, and partners. While significant investment has been made to ensure quality, availability, the usability of these data exchanges, we believe that the current approach towards ensuring security and privacy is inadequate.
During the course of our professional career spanning over 20 years, we have helped numerous Global 1000 organizations to establish data governance programs more specifically programs to ensure data quality.
With the accelerating adoption of customer specific big data, increasing reliance on automated systems for critical business decisions, and an expanding number of privacy-related regulations, detecting and protecting sensitive information is no longer an option but an imperative.
The cost of ignoring data privacy and security issues could be significant. We have estimated that US businesses lost approximately $37 billion in 2015 to address the aftermath data privacy and security issues – this does not take into account the reputational damage these businesses suffered as a consequence.
Leveraging our 20+ years’ experience in data governance and machine learning algorithms, we have been able to create a set of solutions to address data privacy issues. More specifically, we offer solutions to detect and protect sensitive information when large volume of data in a variety of format moves at a very high speed.
Why Us
Advisory Board
Paul Skordilis
Advisor and Member of the Board
Paul brings over 25 years of leadership experience and a proven record of driving revenue growth. Paul is responsible for implementing the global sales and vertical initiative strategy at Infogix – a global data control company. Prior to Infogix, Paul held various executive roles at leading companies such as StoneRiver, Oracle, McAfee, Insurance Technologies and Computer Associates.
Paul is an expert in optimizing and developing effective processes and programs that drive sales, marketing and business development initiatives through an integrated multi-channel strategy. He prides himself on being a great advocate both internally for employees and externally to customers. Paul attended DePaul University with a concentration in Finance and Accounting.
Paul is an expert in optimizing and developing effective processes and programs that drive sales, marketing and business development initiatives through an integrated multi-channel strategy. He prides himself on being a great advocate both internally for employees and externally to customers. Paul attended DePaul University with a concentration in Finance and Accounting.
Management Team
Angsuman Dutta
Founder and CEO
AngsumanDutta is an entrepreneur, investor and corporate strategist with experience in building software businesses that scale and drive value. In his role as the executive vice president for Infogix, he accelerated the growth of professional services and expanded the company’s product portfolio. He has successfully launched several businesses including QualityTek LLC. He is a recognized thought leader and has published numerous articles on information governance.
He earned a Bachelor of Technology degree in engineering from the Indian Institute of Technology, Kharagpur, an MS in computer science from the Illinois Institute of Technology and an MBA in Analytical Finance and Strategy from the University of Chicago.
Shelly Thomas
Co Founder and VP, Customer Service and Support
ShellyThomas is an experienced data modeler and has extensive experience in leveraging data analytics to solve data governance problems. She has helped numerous Fortune 500 companies including HCSC, American Express, TIAA-CREF, TSYS, Mass Mutual to successfully implement data governance software solutions.
Shelly earned an MS in computer science from the Illinois Institute of Technology and Ph.D. in engineering from the Purdue University. She has published a number of articles in peer-reviewed journals and won numerous research awards and fellowships.
Partners
Clouderadelivers the modern platform for data management and analytics. We provide the world’s fastest, easiest, and most secure Apache Hadoop platform to help you solve your most challenging business problems with data.
Doug Cutting, co-creator of Hadoop, joined the company in 2009 as Chief Architect and remains in that role today. Cloudera has over 1100 employees (as of 1/2016) across the globe. We’ve won numerous awards and accolades from industry watchdogs—including the 2014 and 2015 Database Trends and Applications Magazine Readers’ Choice Award for best analytical platform.
Hortonworksis a leading innovator in the industry, creating, distributing and supporting enterprise-ready open data platforms and modern data applications. HortonWorks mission is to manage the world’s data. They have a single-minded focus on driving innovation in open source communities such as Apache Hadoop, NiFi, and Spark. They along with their 1600+ partners provide the expertise, training and services that allow their customers to unlock transformational value for their organizations across any line of business. Hortonworks connected data platforms powers modern data applications that deliver actionable intelligence from all data: data-in-motion and data-at-rest. They are Powering the Future of Data™.
Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Brazil, Singapore, Japan, and Australia,
Microsoft Corporation is one of the world’s largest software company by revenue. Its best known software products are the Microsoft Windows line of operating systems, Microsoft Office, Internet Explorer, Edge web browsers, Office 365 and Azure cloud services.
