Q3 Archive360 Newsletter

• Find accurate data that’s relevant to the situation as quickly and easily as possible. 
• Access the data in a way that facilitates its analysis.
• Enable the data’s reviewers to quickly identify and deliver the appropriate information. 

Your organization’s ability to meet these objectives and ensure its response provides value, while minimizing the organization’s risks, depends on its data governance policies and procedures and how they are implemented. 

For years, information/data governance programs have been implemented by organizations using an approach like this:  

• The legal and compliance teams create the policies. 
• The records management team trains and guides content creators and system administrators how to manage and protect that content. 
• The content owners / system administrators assume responsibility for following policies and procedures. 

The problem with this approach is most employees don’t consider managing data to be a priority. It’s not their primary job responsibility and, done manually, can take a lot of time. In the heat of the moment, we can easily forget, cut corners, and make mistakes. We’re human.  And as a result, data being managed using this approach is being managed inconsistently and ineffectively. 

With the ever-growing volumes of data and increasing number of data management regulations, particularly around data privacy and security, a new approach is desperately needed. According to Okta’s 2023 Business at Work report, the average number of applications implemented by organizations with more than 2000 employees is 212. So, a customer service representative at this size organization who needs to respond to a customer’s request for their personal information will likely need to collect data from marketing, sales, financial, support, fulfillment, and many other systems. The significant rate of data growth and the fact that data associated with a single person is distributed across multiple systems makes data governance and eDiscovery particularly challenging. 

With advances in cloud computing, artificial intelligence and machine learning, a new approach to data governance is possible, where data management success no longer depends on content owners. The data governance process can now be automated using a set of governance rules. And instead of automating these governance rules one application at a time, it can be administered from a single platform. Given the ever-increasing volume of data, however, this platform must be able to scale to manage all types of data, not just communications, and do so securely and cost-effectively.  

Unlike many of our competitors, Archive360’s cloud-native platform was designed from the beginning to be the most scalable, secure, and extensible data governance platform on the market, serving the legal, compliance, and analysis needs of organizations worldwide. Recently, we updated our website to better communicate our platform’s capabilities. Check out our updated site and learn more about our Unified Data Governance Platform.