DPella

DPella

DPella transforms personal data into fully anonymized data.

Overview

DPella and filerskeepers have partnered to help organizations stay compliant with data retention regulations while retaining the value of their data.

filerskeepers inform businesses when data must be deleted based on legal retention requirements. DPella steps in by providing a powerful tool to extract the value of data before it is deleted.

Using Differential Privacy technology, DPella transforms personal data into fully anonymized data, ensuring businesses can retain meaningful insights beyond retention periods without regulatory risk.

This approach not only guarantees compliance but also preserves the strategic value of data, allowing organizations to continue leveraging historical trends.

About DPella

DPella is a spin-off from Chalmers University (Sweden) and holds several patent applications for innovations in Differential Privacy—the technology behind the DPella Analytics. It is the only company in the Nordics specializing in Differential Privacy and a leader in Europe pushing the boundaries of the technology. Globally, DPella ranks among the top in the field.

“filerskeepers tells you when to delete data. DPella helps you keep its value. Together, we extend your data’s lifecycle beyond compliance, turning expiration into lasting insight.”

– Carola Compá, Head of Business Development

How DPella works with filerskeepers

DPella and filerskeepers work together to help organizations comply with data retention laws while preserving the value of their data. Here’s how the process works:

Step 1: Identifying Data for Deletion

  • filerskeepers helps organizations determine when specific data must be deleted based on legal retention requirements.

Step 2: Connecting with DPella

  • If the data is structured (e.g., databases, spreadsheets, or logs), filerskeepers refers the organization to DPella.

  • No system integration is required between the two platforms—just a simple referral.

Step 3: Assessing the Data and Analytics Needs

  • DPella does not require access to the actual data. Instead, the organization shares the database schema (structure of the data), and the types of analytics they need.
  • This ensures that data remains on the organization’s infrastructure, maintaining full control and security.

Step 4: Running Privacy-Preserving Analytics

  • DPella provides a software component that runs directly on the organization’s system.
  • Using Differential Privacy, it extracts useful insights while ensuring compliance with data protection laws.
  • Once the necessary analytics are completed, the original data can be securely erased.

Step 5: Ensuring Compliance and Value Retention

  • The organization meets legal data deletion requirements while still retaining meaningful business insights.
  • DPella ensures that the extracted data remains privacy-safe and cannot be traced back to individuals.
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Benefits of using both DPella and filerskeepers

Compliance with Data Retention Regulations and Data Value Preservation

filerskeepers ensures compliance with data retention laws, while DPella preserves the value of data before deletion, allowing businesses to extract insights without losing valuable information. Now, organizations do not need to know how to do data analysis, an LLM help them run the queries from an input in natural language.

Future-Proof Data Strategy

Together, DPella and filerskeepers offer a forward-thinking solution, preparing organizations for evolving data privacy laws while maintaining the ability to analyze and derive value from data long after it has been deleted.

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Why we love DPella

filerskeepers deeply appreciates DPella for its exceptional approach to data privacy and security. By utilizing Differential Privacy, DPella ensures compliance with anonymization standards while maintaining data accuracy and privacy guarantees.

DPella integrates seamlessly into the existing data pipeline, running analytics directly on customer infrastructure. This allows for the automation of data insights while ensuring that sensitive data remains on-site.

What truly sets DPella apart is their dedication to providing cutting-edge, expert-driven solutions that align perfectly with our commitment to safeguarding data. With the collaboration of leading experts in Differential Privacy, DPella consistently delivers reliable, innovative solutions that reinforce our mission to protect data at the highest level.

Additional information

Frequently Asked Questions

DPella is specifically designed to anonymize tabular data, such as databases, spreadsheets, and structured logs. It is not suitable for unstructured data types like images or videos, where different anonymization techniques are needed.

No, DPella focuses on anonymizing structured data (e.g., tabular data). For images or videos, other privacy-preserving techniques would be required.

DPella is as easy to use as popular database management tools like SQLite. The tool is designed to integrate smoothly into existing workflows, with minimal setup and configuration required.

No, DPella runs directly on your infrastructure, so sensitive data never leaves your premises. This ensures complete control over your data and reduces security risks.

No, DPella is not a SaaS. It is a software component delivered in a Trusted Execution Environment (TEE), which ensures secure processing on your infrastructure without the need for data transfer.

While DPella provides valuable insights, privacy comes at the cost of slight accuracy loss due to the process of injecting calibrated noise into the results. DPella strikes an optimal balance between privacy and accuracy, ensuring that the injected error is minimal while still offering reliable insights.

DPella uses Differential Privacy, which involves adding calibrated noise to the data during analysis. This technique ensures that individual data points cannot be traced back to specific individuals, while still allowing for accurate, aggregated insights. 

DPella helps ensure compliance with data privacy regulations by anonymizing sensitive data in a way that meets legal requirements. This allows businesses to continue using data for analytics without violating data retention laws.

Yes, DPella is designed to integrate seamlessly into your existing data pipeline and infrastructure, providing a smooth user experience without disrupting your current systems.

Traditional anonymization techniques like data masking and aggregation are vulnerable to reidentification when combined with other data, meaning the information is not fully anonymized and remains personal. With the rise of AI tools like ChatGPT, even non-experts can exploit these weaknesses. DPella’s Differential Privacy solution offers a stronger guarantee by ensuring individual data cannot be identified, even when combined with other datasets. 

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