Mole Data
Privacy Analytics

Do you want to minimize the risks and fines associated with data privacy regulations? Mole Data Privacy Analytics will help you in your compliance initiatives. And far beyond.

Unstructured data will not hide

Identify PII and sensitive data in structured and unstructured sources (office documents, pictures, scans, emails…)

Country - specific localization

PII data analysis without borders. Mole Data Privacy Analytics knows your local specifics.

Data - privacy categorization

Assessment of documents with respect to their relevance to data privacy regulations such as GDPR, HIPAA, Data Privacy Act…

Never get lost in data

Find all documents related to a particular person (e.g. employee, customer, partner…) on one click.

Self - service analytics

Run your own, customized data analysis of unstructured data, browse the file content, full-text search for entities, keywords.

Mole Data
Privacy Analytics

Do you want to minimize the risks and fines associated with data privacy regulations? Mole Data Privacy Analytics will help you in your compliance initiatives. And far beyond.

Imagine a world where you could…

Automatically identify all PII and sensitive data in all documents on your server or user stations, regardless of whether they are structured in a database or unstructured in files or even emails.

Find out where they are located, who has access to them, who is the author, when were they created or modified and review all other metadata and all file content.

Besides this, find duplicate files and save system resources.

Or did anyone send an email with sensitive data? Find out and take action.

Built on the Qlik Sense platform with the sophisticated technology in the background. Mole adapts to your requirements and needs.

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Find answers
to these questions

Data Privacy semantic analysis

  • What PII, personal data or sensitive data do we have?

  • Where are they stored?

  • Who has access to them?

Metadata and content analysis

  • What data and content do we have and what lies in our documents

  • Do we use our servers, disks or data storages efficiently?

  • How many duplicate files do we have?

  • What old files do we have on our servers?

  • • Answer any questions within or beyond data privacy related to the file content

Inphinity Mole

Mole overview of features

File analysis

Architecture mapping

  • Format
  • Creation Date
  • Modification Date
  • Owner, Authors
  • …and many more
  • Words frequency analysis
  • Word position analysis
  • Qlik smartsearch
  • Read/write permissions
  • Owner/Author of the document

Semantic analysis

Identification and categorization of data privacy regulations relevant data

  • E-mail addresses
  • Names, Cities
  • Country-specific rules (USA, GB, AUS, SK, CZ, HU)
  • ID card no., driving license no., passport no.
  • License plate no.
  • Dates of birth
  • Phone numbers
  • Credit cards
  • IP addresses
  • Custom algorithms can be defined in a customization file

Analytical dashboard

A single overview of all analyzed data sources

  • Data privacy regulations related content analysis
  • Frequency and position analysis
  • Descriptive metadata analysis by different categories
  • Duplicate / effective resource use analysis
  • Access and authorizations analysis
  • Qlik Sense self-service capability

for your business

Risk reduction related to sensitive data

  • customer base and brand protection
  • financial protection against fines and legal actions in relation to the use of sensitive data
  • reduced risk of high data privacy regulations breach related fines (e.g. up to 4% of global turnover under GDPR)

Significant impact on KPIs due to the power of unstructured data analysis

  • unstructured data analysis across all functional areas – HR, marketing, sales, finance, operations
  • fraud analysis, evidence analysis, communication and documents content analysis
  • use in all areas – financial services, manufacturing, commerce, public administration, healthcare…

Better document management efficiency

  • significant savings in system resources by reducing duplicate documents
emark mole

Jaroslav Horky, User Support Manager/ ISM, DM DrogerieMarkt

With the advent of the GDPR, we were not sure how to handle our document storage. The question was how to effectively manage 2.5 TB of data in various formats, predominantly in MS Office formats, and to make sense of our bundled folders with respect to personal data protection.

We searched for a tool that would reliably identify sensitive data in the files, keep track of access rights, and regularly remove old or duplicate documents. We chose Mole. In conjunction with Qlik Sense, it is a useful tool that helps us control and manage sensitive data at our disposal.

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We will get back to you as quick as we can