Data Governance in the Digital Age

Data Governance refers to the overall management of the availability, usability, integrity, and security of the data employed in an enterprise. The unprecedented increase in volume and sources of data has demanded better data management practices for global enterprises. A strong emphasizes on Data Governance is fueling the need for higher quality and secure data, as well as fulfilling the demand for real-time decision making. The expansion in the data governance startup landscape is largely influenced by the fact that good Data Governance requires many different types of applications integrated together.


The Importance of Data

In the digital age, big data is arguably the most important asset to any organization. Data has real, measurable value that is used across every department to make key decisions. Enterprises must ensure that their data sets are well defined, controlled, and accessed in a careful and process-driven way.


Data Ownership and Stewardship

To have a successful data governance process, data must be clearly defined for enterprise-level integration and secured through authorized processes only. Data stewards should be appointed who will oversee the data governance framework. However, the participation in data governance must come from all of the departments to make it a success.


Standardized Rules

A data governance process should follow standardized rules and regulations to avoid risks and noncompliance. A set of rules and audit procedures should be instilled that ensures ongoing compliance with internal data policies and external government regulations. This also ensures that data is used consistently across the entire corporation and all applications such as robotic process automation and natural language processing. These standardized policies should be adhered to strictly in order to avoid data chaos.


Data Security

As one of the most important factors in data governance, data security is imperative to an organization to protect their critical assets. When data is stored and backed up, data owners must take extreme measures to protect it from mishaps, theft, or attacks. Data security includes data encryption, tokenization, and key management practices that protect data across all applications and platforms.


Data Governance Applications 


BotDoc

BotDoc is the first ever remote real-time secure digital document transmission, through text messaging and email with end-to-end encryption. They provide easy, secure, end-to-end encryption, customer-centric, on-demand, remote, real-time, reduced risk, no cost to the consumer, no logins, no passwords, no 3rd party portals, no pin #’s, no software and no Apps when sending and receiving information all through a mobile device or email!


Shujinko

Shujinko allows enterprises to build secure cloud environments in hours instead of months. Secure by default cloud environments that utilize industry accepted best practices. Continuous compliance monitoring and automated evidence collection.


BigID

BigID is transforming enterprise protection and privacy of personal data. Organizations are facing record breaches of personal information and proliferating global privacy regulations with fines reaching 4% of annual revenue. Today enterprises lack dedicated purpose-built technology to help them track and govern their customer data. By bringing data science to data privacy, BigID aims to give enterprises the software to safeguard and steward the most important asset organizations manage: their customer data.




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