In today’s world, there are huge amounts of data being generated by devices, blogs, social feeds, mobile applications, sensors, and more. The chaos for many businesses comes from the fact that nearly all of this data is unstructured, unscrubbed and non-relational. Year on year, we are creating more data than ever before; and it is imperative that this data is kept secure for many reasons.

Leading organisations have long recognised the power of data classification as a foundation to support their IT Security, Storage and Information Governance efforts to appropriately protect information that is being created, however implementing the correct data classification program is a challenge in itself.

How do Organisations begin the process of Data Classification?

In accordance with the old adage that “People” and “Process” come first and then only the introduction of the relevant “Technology” – this is absolutely a requirement, as without the correct business “buy in” a data classification program is doomed from the outset. What we are seeing, however, is that the technology piece is being introduce a lot sooner in the process. The reason for this, is that it is difficult to understand what policy needs to be created without identifying the problematic data or even having any clue what data is actually out there! I call this the “visibility” stage which quite frankly can’t be achieved without the aid of a technology, as there is just too much data across too many different repositories.

Once some visibility has been achieved, policy can then be created, refined and developed as the organisation evolves. However, no policy will have any “teeth” without the aid of a technology to report, police and more and more often these days, actually take remedial action like physically moving sensitive data to appropriate systems, defensibly deleting Redundant and Risky information or simply keeping control of Identity and Access management.

Once classifications have been applied to the organisation’s data, the next step is to use these efficiently to automate the application of information governance policies. This requires the use of technology that is able to leverage the classification, however it was applied, to make decisions and take actions. By simply and automatically applying the appropriate classification on the data, based on its Meta data and content, has the effect of very quickly maturing an organisations IG standing in a short space of time and, due to this, is not necessarily the most efficient method.

In addition to leveraging classification to perform governance actions, it is often desirable to have visibility into the volume and specifics of items within each taxonomy category. Such auditing capabilities provide organisations with superior insight into the distribution of content across the classifications.

Soarsoft in Partnership with Acaveo, provides a File Analysis software platform that effectively meets these data classification needs of organisations. The software, when combined with user-applied classification metadata, allows organisations to classify data, perform regular data inventories, and allow for the automation of data management efforts such as migration, defensible deletion, and collection and preservation of vast volumes of data. This powerful one-two punch also provides immediate visibility into data access rights related to classified/tagged information through a centralised management console.

In conclusion, File Analysis software is essentially designed to address today’s “Big Data” challenge that so many organisations are experiencing and it allows for efficient visibility and control over massive volumes of unstructured data without end-user impact.

Any organisation that is looking to improve storage management, migrate old file shares, implement information governance, or secure access and control of unstructured data will benefit from file analysis tools.

File and Data Analysis & Governance solutions allow business to:

  • Perform Inventory Management of Unstructured Data, File and Email content within Onsite systems and Office365
  • Address Security, Identity, Access and Compliance issues
  • Clean up and organise unstructured data with defensible deletion
  • Identify and Alert on sensitive information
  • Remove, Remediate and Identify specific personal information on request (Assistance with POPI/ Data Protection Act Remediation)
  • Apply Data Classification and Rights Management
  • Streamline in-house eDiscovery and Early Case Assessment
  • Smart identification, collection and preservation of information

Let us show you how we can help with your Big Data Challenges.

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