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Managing unstructured Data for GDPR

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Data Analysis & Classification

Every year, the volume of data across companies increases exponentially. However, the sources of data growth within a company, the types of data that exist and also the ways it is used, are often unclear. What’s more, IT departments have to design the IT infrastructure in a sustainable and efficient manner to handle the growing volumes of data, while taking the applicable regulations into consideration.

A data analysis & classification by Arcplace provides insight into a company's data situation. The results of this analysis provide answers to the following questions: Which data is redundant or obsolete? Where is personal data stored? What file formats are used and how frequently? How old is the data? Being able to find data with sensitive personal information that needs to be protected is, for example, decisive for fulfilling the future EU General Data Protection Regulation (GDPR).

Arcplace uses leading software solutions to analyse the data. The software collects information about the content and various characteristics of the data and processes the information to generate meaningful reports. Based on these findings, it will be possible to establish a basis for making decisions on how the data should be handled. Which data can be archived and outsourced to reduce the load on the primary system? How can you ensure the retention requirements for data with personal information is complied with?

In addition to this reactive and one-off snapshot, Arcplace can also monitor the data inventory proactively. The technology supports the customer in that the software reports any noteworthy incidents to the IT department. This may be the case if, for example, an atypically large part of the data is copied or traffic in a particular area suddenly skyrockets.


The Databerg

Arcplace uses the iceberg analogy – the so-called Databerg concept – to illustrate the challenges associated with today's exploding data volumes. According to the Databerg concept, only a small portion of the data is above the waterline and thus visible to the company. This tends to be business-critical data, which the company is aware of. The greater portion of the data is hidden under the water’s surface, and this is the part that needs to be analysed. It is estimated that on average, around two-thirds of a company's data is located here. The Databerg Report distinguishes between so-called ROT data and dark data. ROT stands for redundant, obsolete and trivial data. Dark data is the portion of data that needs to be analysed in more detail. It may include business-critical data, the company is unaware of, as well as ROT data.

Clarity with data assessment

Arcplace offers a data assessment to shed light onto dark data and empower companies to make decisions regarding their future data storage. During the assessment, the file server is analysed to provide information about the content, data usage, age of the data, volume of duplicate data, etc. Find out more about the possibilities provided by a data assessment – we would be happy to advise you:

Data Genomics Project

In 2015, Veritas launched the Data Genomics Project. Veritas analysed billions of gigabytes of unstructured data as part of the project, and fed the findings into the Data Genomics Index.


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Data Genomics Index

A report on the true makeup of storage environments from the experts in unstructured data


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GDPR: Efficiently manage the right data

Arcplace assists companies with solutions and services to prepare for the recently adopted European General Data Protection Regulation (GDPR). With Arcplace's support, companies gain important insights into their unstructured data, which in turn helps them to comply with the new GDPR and existing regulations.


White Paper:

General Data Protection Regulation (GDPR)

Implications of the General Data Protection Regulation of the European Union for Swiss companies


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