Inspired By Genomics, Diginome Redefines Information Integrity
Diginome solves a problem that has been a serious pain-point for both business users and technology providers since the first implementations of software for business began in the 1970’s. That problem, simply, is that the provenance of and relationships among information cannot be seen or verified using conventional methods, and therefore information is at best always suspect, or at worst results in serious business complications. Diginome has developed the only known product to provide complete transparency of digital information.
Patented DataDNA technology is a comprehensive query-able enterprise data integrity analysis platform that can be used for auditing, assessing overall integrity, identifying worst offenders, monitoring progress toward integrity goals, e-discovery, data forensics, fraud detection and more.
What does Diginome do?
Diginome founders have invented patented software, inspired by principles of genomics (e.g., DNA markers), to solve the vast range of problems enterprises experience due to lack of data transparency – everything from poor data quality to outright data fraud. They have created the first known data provenance (lineage) and association solution intended for business stakeholders, those who best know data. In 2009, founders Kamyar Shadan and Paul Bertucci began building out the product and company to bring their vision to market. Diginome’s flagship product is called DataDNA™.
What is DataDNA and how does it work?
DataDNA is a software solution that uniquely identifies and registers complex relationships among granular data values and their digital events; ideal for software-based data certification applications. This includes tracking data values from their points of origin, throughout their digital life, and provides actionable business validation rules (such as data integrity, compliance, and data anomalies) to become a part of your everyday corporate landscape. As part of its validation activities, DataDNA creates a robust data integrity platform to give business stakeholders the power to perform sophisticated cross-application analysis of data’s behavior.
Why is DataDNA better than traditional methods?
As a scalable software solution, DataDNA creates an efficient and sustainable method for managing data integrity that is far superior to today’s highly manual data validation methods. It gives data stewards, data owners, business analysts etc., a fast, efficient data integrity analysis platform for validating data; they’ll have visual cross-application data lineage and the ability to crawl backward and forward along the data value chain to identify root causes (provenance), locate related data, visualize sequence and project downstream effects (progeny). Plus, it provides extended data validation and forensics ability by adding heuristically-created rules to the business rules engine.
Why is data certification important, and who needs it?
Data that isn’t certifiable it isn’t reliable; it can’t be fully trusted and carries potential risks. The ability to deliver certified data brings real benefits to all data-related enterprise activities. Data certification increases the productivity of organizations that rely on data, and is an important part of any data governance or data compliance initiative. Business data stewards and data quality officers benefit directly from the DataDNA and may see a 50% improvement in the amount of time spent validating data.
Where does DataDNA fit?
DataDNA is standards-compliant and works within existing enterprise infrastructures. It runs on standard hardware. DataDNA complements and extend existing data quality and governance initiatives or can be used as a foundation to create them where they don’t yet exist. It fits in any kind of processing environment, from transactional to big data, and beyond.
What can one do with DataDNA?
Data that is certified enhances all data-related activities because it is reliable for its intended business purpose. In addition, Diginome’s ability to certify data values also comes with the ability to expose what data values aren’t certifiable, and why; one can quickly identify and understand the extent of processing anomalies and pinpoint exact remediation targets (at the data value level). DataDNA is an important enabler and efficiency tool for any GRC (Governance, Risk and Compliance) initiative; it gives data stakeholders and stewards simplified ability to reduce corporate risk by ensuring that the data used for analysis, decisions, actions and reporting is valid, and in regulated industries it improves their ability to efficiently meet regulatory reporting requirements.