3 BIGGEST IMPACTS ON DATA ANALYTICS UNDER GDPR 

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BENEFITS

Anonos BigPrivacy De-Risks® Data to Maximize Value

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UsING DATA

BigPrivacy supports real-time, selective access controls (i) at a fine-grained data element level versus only at the user level and (ii) at generalized, non-identifying data levels in addition to identifying levels. Separating the information value of data from identifying attributes, all while retaining the ability to support authorized relinking of data to individuals under secure and technologically enforced conditions, enables the processing of analytics, artificial intelligence (AI), machine learning (ML), and digital transformation of protected data sources including IoT, geo-targeted and regulated data.

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SHARING DATA

BigPrivacy allows data owners to maintain their data in privacy respectful and secure “silos” while enabling the use, sharing, comparing and computing of accurate but non-identifying versions of their data with other data sources. BigPrivacy supports analytics, artificial intelligence (AI), machine learning (ML), and digital transformation of combined protected data sets.

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Unstructured Data

BigPrivacy enables pattern recognition without requiring disclosure of underlying identifying information to transform unstructured data into privacy respectful structured data schemas to support analytics, artificial intelligence (AI), machine learning (ML), and digital transformation of unstructured protected data.

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GDPR-Compliant LAWFUL Processing OF DATA

BigPrivacy leverages technical and organizational measures to separate the information value of data from the means of attributing data to specific individuals to enable lawful processing, secondary use/further processing, minimisation, ongoing use of historical data, and improved security measures, for personal data. BigPrivacy enables data controllers and data processors to comply with GDPR Articles 4, 5, 6, 25, 32 and 89.

USE CASES

Challenge

Under the EU General Data Protection Regulation (GDPR) and evolving regulations, broad-based consent no longer provides a valid legal basis for:

  • 1. Use of historical databases
  • 2. Data analytics
  • 3. Artificial intelligence
  • 4. Machine learning
  • 5. Sharing of restricted data among third parties
Circle Lock

Solution

The following use cases demonstrate how Anonos BigPrivacy® technology uniquely enforces granular data use controls to protect both structured and unstructured data.

This “unlocks” data to make it available for use.

Universal Use Case

Use Case

ANONOS BIGPRIVACY UNIVERSAL USE CASE

Anonos BigPrivacy technology de-risks data anywhere in the data flow, from the edge to the data lake, to allow data to be lawfully used, combined and shared to maximize value. For data-driven companies this is imperative in order to both use and maximize the value of data assets in a lawful manner. But this is not possible without new technology required to comply with global regulations that restrict data use. Anonos Big Privacy technology allows organizations to continue to lawfully store, process and perform analytics on personal data under the GDPR. Many processing activities performed legally for decades expose data controllers and processors to fines starting May 25, 2018 of up to 20 Million Euros or 4% of annual turnover (global gross revenue), whichever is higher.

Examples:

Lost Access to Historical Data - The possession or processing of “Historical Data,” defined for these purposes as EU personal data collected using commonly accepted techniques that were lawful before the effective date of the GDPR but are no longer valid after May 25, 2018, becomes illegal from that date forward. If a data controller has Historical Data, they must do one of three things: (1) they must delete the data if it is not required for its original purpose; (2) they must anonymize the data so that detailed context is lost, and there is no re-linkability back to data subjects; or (3) they must have a new legal basis and adopt safeguards, like pseudonymisation, to protect the data from unauthorized use or re-identification. Anonos helps to support valid legal bases and pseudonymisation to retain detailed context with re-linkability back to data subjects under controlled conditions.

Inability to Perform Ongoing Analytics - From May 25, 2018, onward, EU residents can only legally consent to data uses that can be specifically and unambiguously explained at the time of consent. This significantly reduces the ability of organizations to rely on consent as a legal basis for iterative analytics, artificial intelligence (AI) and machine learning (ML), when those activities cannot be explained with sufficient detail or clarity at the time of consent. Anonos BigPrivacy technology transforms data to help support required new legal bases, safeguards, and technical and organizational requirements.

Financial Services Financial Services

FINANCIAL SERVICES

FINANCIAL SERVICES

Anonos BigPrivacy technology enables financial services companies to comply with new regulations by de-risking data to maximizing the value of data collected from consumer transactions, through fintech and app technology partners, and via other third-party data sources. This patented technology removes the risks of applying analytics to protected data, providing the means to transform, integrate and use data to support real-time privacy-respectful aggregate analysis, and develop machine learning models and artificial intelligence applications.

Examples:

Banks – organizations desire to share proprietary data with external parties to identify new offerings for existing and future customers without violating privacy rights of customers or prospects. BigPrivacy allows these parties to maintain their data in privacy respectful and secure “silos” while enabling the sharing, comparing, combining and processing of accurate but non-identifying versions of their data with the external data source to identify new offerings, etc.

Global Trading Firms/Hedge Funds – trading firms rely on data from numerous disparate sources to fuel trading strategies using artificial intelligence, machine learning, and distributed computing to process vast amounts of real-time and near real-time data. Contractual arrangements with data sources no longer provide sufficient protection because of joint liability under new data protection regulations like the GDPR, which imposes fines for noncompliance up to 20 Million Euros or 4% of annual turnover (global gross revenue), whichever is higher. BigPrivacy’s real-time, selective access controls enable users to separate the information value of data from identifying attributes to process analytics to maximize data value and utility while minimizing liability and exposure for misuse of personally identifying information. This allows access to greater numbers of data sources as inputs to trading strategies and enables new potential real-time data outflows for use by third parties to generate additional revenue streams not otherwise be possible.

Industrial/Consumer IoT Industrial/Consumer IoT

INDUSTRIAL / CONSUMER IOT

INDUSTRIAL / CONSUMER IOT

Anonos BigPrivacy technology enables industrial and consumer IoT companies to maximize the value of data collected from sensors, connected devices, business and technology platform partners, and via other third-party data sources. This patented technology de-risks the application of analytics to protected data, providing the means to transform, integrate and use data to support real-time privacy-respectful transformation and sharing of data amongst wide-ranging entities that consume connected IoT data which would otherwise not be legally allowed.

Examples:

Data Location/Sovereignty – Data localization/sovereignty laws mean that data necessary for primary data uses (like servicing equipment) and secondary data uses (like data analytics for product improvement, research & development) are unavailable in locations where processing is desired but located outside of jurisdictional boundaries. BigPrivacy technology enforces the highest practical level of de-identification for each data use to achieve the optimal balance between the utility of data and protecting privacy and security of data. BigPrivacy’s real-time, selective access controls enable the same data to represent one level of de-identified data to one entity (located within a jurisdiction) and another level to another entity (located outside the jurisdiction), depending on who controls keys necessary to re-identify the data. In this way, the level of identifiability is related to the entity processing the data and/or the location where data processing occurs.

Legal Basis for Processing – It is no longer sufficient for a person to give consent to process data collected via the Internet of Things (IoT) for the data to be used for analytics. New regulations consider such consent inadequate engagement/interaction with individuals. Data controllers and data processors can be liable for failures of one another to comply with processing restrictions so failing to abide by new regulations like the GDPR, which impose fines equal to the higher of 20 Million Euros or 4% of annual turnover (global gross revenue), exposing business partners to material liability and exposure. BigPrivacy technology helps to satisfy requirements for new technical measures required for new compliant legal basis by controlling the linkability of both structured and unstructured data by separating the information value of data from identifying attributes.

Insurance Insurance

INSURANCE

INSURANCE

Anonos BigPrivacy technology de-risks data anywhere in the data flow, from the edge to the data lake, to allow data to be used, combined and shared to maximize value. For insurance companies, this is imperative because they are seeking new ways to innovate and extract greater value from their data to enable new business initiatives that create value for new or existing customers while retaining and expanding durable competitive advantage. But achieving these goals is not possible without new technology required to comply with pending global regulations that restrict data use.

These business intelligence initiatives can range from developing new products and services, uncovering novel investment strategies, reducing costs, entering new markets or establishing multi-party partnerships. They want to achieve these goals in ways that are flexible and forward-looking while minimizing business, competitive and compliance risk.

Anonos Big Privacy technology enables insurance companies to comply with new regulations while maximizing the value of data collected from consumer transactions and policy claims, and via third-party data sources. This patented technology removes the risks of applying analytics to protected data, providing the means to transform, integrate and use data to support real-time privacy-respectful aggregate analysis, and develop machine learning models and artificial intelligence applications.

Pharmaceuticals Pharmaceuticals

Pharmaceutical Tab

PHARMACEUTICALS

Anonos BigPrivacy technology de-risks data anywhere in the data flow, from the edge to the data lake, to allow data to be used, combined and shared to maximize value. For pharmaceutical companies, this is imperative because they are searching for new ways to extract greater value and insights from their data, to enable business initiatives that accelerate research analysis, discover patient insights and new treatment strategies. But achieving these goals is not possible without new technology required to comply with pending global regulations that restrict data use.

The data involved can originate through clinical research and trials, derived through joint partnerships with other healthcare providers or from historical data collected from patient records. They need to conduct these data-driven initiatives in ways that are flexible and forward-looking while minimizing business and compliance risk. These analytics and research projects must be undertaken within contractual and regulatory commitments by leveraging generalized, derived data values that do not reveal identifying information, under technically enforced access controls.

Anonos Big Privacy technology enables pharmaceutical companies to comply with new regulations while maximizing the value of data collected from clinical trials, patient records, healthcare information systems and via other third-party data sources. This patented technology removes the risks of applying analytics to protected data, alone or in partnership with third parties to conduct secondary research, and identify new products and therapies.

HR System Providers HR System Providers

HR SYSTEM PROVIDERS

HR SYSTEM PROVIDERS

Anonos BigPrivacy technology de-risks data anywhere in the data flow, from the edge to the data lake, to allow data to be used, combined and shared to maximize value. For HR systems providers, this is imperative as they are using advanced analytics and large data sets obtained through relationships and partnerships with many entities. But achieving these goals is not possible without new technology required to comply with pending global regulations that restrict data use.

HR systems companies have collected employee personal data by, or on behalf of, employers for years based on the consent of employees. These data-driven analytics are designed to discover new ways to help their customers (employers) motivate and engage people by implementing HR solutions that cultivate and grow talent, deliver impactful compensation strategies, and create high-performing workplaces. They want to retain rights to access and use that data, but risk losing access to this data when “consent of the employee" is no longer enough to satisfy the GDPR requirements. Proprietary aggregation, correlation, and analytics applied to this data have been historically supported on the premise of the difficulty of re-identification.

Anonos Big Privacy technology enables HR system providers and their customers to comply with new regulations while maximizing the operational and innovation value of data collected and combined from these extensive public, and commercial data sources. This patented technology removes contractual and regulatory risks of applying analytics to protected data, providing the means to transform, integrate and use data to support real-time privacy-respectful aggregate analysis, and develop machine learning models and artificial intelligence applications that benefit employers and their workforce.

Digital Marketing & Sales Digital Marketing & Sales

DIGITAL MARKETING & SALES

DIGITAL MARKETING & SALES

Anonos BigPrivacy technology de-risks data anywhere in the data flow, from the edge to the data lake, to allow data to be used, combined and shared to maximize value. For companies capturing, using and sharing extensive amounts of “digital intelligence” data, this is imperative as they seek to drive marketing, advertising and sales optimization, measurement, and execution of tactics and strategy. But achieving these goals is not possible without new technology required to comply with pending global regulations that restrict data use.

Sharing and combining “digital intelligence” data between multiple organizations can create significant opportunity, but also significant liability and compliance risk. However, the GDPR provides a means for data controllers to share data with third parties (for analytics, AI, ML and other legitimate purposes) who do not have relationships with or data subjects, if such third parties are not able to identify data subjects. 

Anonos Big Privacy technology enables digital intelligence providers and companies that use them to comply with new regulations like the GDPR or proposed ePrivacy Regulation while maximizing the value of data collected from consumer transactions, online behavioral activity, and via other third-party data sources. This patented technology removes the risks of applying analytics to protected data, providing the means to transform, integrate and use data to support real-time privacy-respectful aggregate analysis, and develop machine learning models and artificial intelligence applications that drive marketing and sales growth and customer acquisition and retention.

Data Brokers Data Brokers

DATA BROKERS

DATA BROKERS

Anonos BigPrivacy technology de-risks data anywhere in the data flow, from the edge to the data lake, to allow data to be used, combined and shared to maximize value. For data brokers, this is imperative because they actively strive to capture, combine, derive and repackage and sell data from third parties, and typically do not have direct relationships with data subjects. But achieving these goals is not possible without new technology required to comply with pending global regulations that restrict data use.

Data is the lifeblood of the data broker business model. Their data products are used for a wide range of commercial activities, such as deeper and more sophisticated analytics, business optimization efforts and new product development. These activities inherently create significant liability and compliance risk.

Anonos Big Privacy technology enables data brokers to comply with new regulations while maximizing the value of data collected and combined from formerly segregated sources. This patented technology removes contractual and regulatory risks of applying analytics to protected data, providing the means to transform, integrate and use data to support real-time privacy-respectful aggregate analysis, data products, machine learning models and artificial intelligence services that can be applied to a wide range of businesses.

Motor Vehicle Manufacturers Motor Vehicle Manufacturers

OTOR VEHICLE MANUFACTURERS

MOTOR VEHICLE MANUFACTURERS

Anonos BigPrivacy technology de-risks data anywhere in the data flow, from the edge to the data lake, to allow data to be used, combined and shared to maximize value. For motor vehicle manufacturers, this is imperative because they need to use extensive quantities and types of data in order to bring competitive, innovative and safe vehicles to consumers and commercial customers. But achieving these goals is not possible without new technology required to comply with pending global regulations that restrict data use.

Self-driving cars and trucks are fundamentally changing the industry, impacting everything from design, to prototyping, full operational production and delivery into the marketplace. Advanced analytics and artificial intelligence are critical to provide actionable real-time insights to boost efficiency and test new features. The data originates and is shared between multiple private and public entities about drivers, vehicle operational and performance, dealership sales and service, along with public agency safety and public utility data, organizations that do not have relationships with or data subjects, can’t identify data subjects or obtain consents for use.

Anonos Big Privacy technology enables motor vehicle manufacturers to pursue end-to-end operational efficiency and product innovation through sophisticated analytics while complying with new regulations. This enables them to maximize the operational and innovation value of data collected and combined from these extensive public, commercial and sensor data sources. This patented technology removes contractual and regulatory risks of applying analytics to protected data, providing the means to transform, integrate and use data to support real-time privacy-respectful aggregate analysis, and develop machine learning models and artificial intelligence applications that improve vehicle safety and performance.

Education System Providers Education System Providers

EDUCATION SYSTEM PROVIDER

EDUCATION SYSTEM PROVIDERS

Anonos BigPrivacy technology de-risks data anywhere in the data flow, from the edge to the data lake, to allow data to be used, combined and shared to maximize value. For education systems providers, this is imperative because they want to retain rights to access and use to student, employee and other individual data gathered from each other, to help students and educators succeed and institutions thrive through the power of data — student recruiting and financials, student learning, curriculum and courses. But achieving these goals is not possible without new technology required to comply with pending global regulations that restrict data use.

Student, employee and other individual data has been collected on behalf of universities, schools, employers and individuals for years based on consent. Education system providers have relied on proprietary aggregation, correlation and analytics applied to this data, which has been historically supported on the premise that re-identification would be reasonably unachievable due to required commitment of capital or resources. These data sources risk losing access to this data when "consent" is no longer enough.

Anonos Big Privacy technology enables Education system providers and their customers to comply with new regulations while maximizing the operational and innovation value of data collected and combined from these extensive public, and commercial data sources. This patented technology removes contractual and regulatory risks of applying analytics to protected data, providing the means to transform, integrate and use data to support real-time privacy-respectful aggregate analysis, and develop machine learning models and artificial intelligence applications that improve learning outcomes.

Anonos’ patented dynamic tokenization technology uniquely enables use of data in compliance with contractual and regulatory commitments.

WHAT INDUSTRY LEADERS ARE SAYING ABOUT ANONOS

JULES POLONETSKY
JULES POLONETSKY

Future of Privacy Forum Chief Executive Officer

“Anonos shows there are smart technical and policy solutions that can ensure we gain the benefits of new data uses while avoiding the risks.”

MARTIN ABRAMS
MARTIN ABRAMS

Information Accountability Foundation Executive Director & Chief Strategist

“Anonos makes effective controls possible that break the stalemate between responsible use and data obscurity.”

JOHN WILBANKS
JOHN WILBANKS

Sage Bionetworks Chief Commons Officer

“The potential to bring technical and organization approaches into data privacy debates that desperately need new concepts.”

RESOURCES

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Prevent Lost Access to Data & Increased Liability 

This Whitepaper published in Compliance Week covers the following key points:

  • 3 Game-Changing Impacts
    • GDPR is Global in Scope with Penalties up to 4% of Global Revenue
    • Data Collected Before May 2018 is Illegal Unless Transformed
    • Analytics Can No Longer Rely on Broad-Based Consent
  • Benefits of GDPR Compliant Pseudonymisation
    • Helps Support Legitimate Interest Legal Basis
    • Helps Retain Access to/Use of Historical Data

Download