Data Governance
Data Security & Compliance Life Cycle
The volume and variety of digital information is exploding as our planet becomes more instrumented, interconnected, and intelligent. This is reason for better data security policy and technology.
"Data Managament! Data Security! & Data Analysis"
Safeguarding the privacy of client data isn’t just good business - in many cases, it’s the law. De-identifying and encrypting confidential data, monitoring database security and implementing database auditing are some of the ways organizations are trying to protect privacy and support compliance with regulations like the Sarbanes–Oxley, HIPAA, DDP, PIPEDA, PCI DSS and others. A data breach can cost an organization millions of dollars not to mention brand damage, customer loyalty, loss of revenue, and the possibility of fines or other penalties.
Enterprise wide Policy & Standards to validate, manage, and protect information are an essential component of information governance. Approaches can be implemented to ensure enterprise wide compliance. In such the event, it is suggested that buy-in happen from the top-down.
The day-to-day challenges of Data Management are exacerbated by the growth of data volumes. Life-cycle Management solutions give organizations the agility to respond quickly enabling cross-role collaboration and high quality to accelerate delivery and performance of applications, upgrades, consolidations and enhancements to support business growth and compliance.
Data Quality management is a discipline to measure, improve, and certify the quality and integrity of an organization’s data. Data Quality includes data understanding, standardization, matching, survivorship, cleansing and monitoring. Organizations need to ensure high data quality because critical business decisions are based on the data.
