Fireside Chat #2:
Access to Data for Digital Insights

Presentation Transcript
Gary LaFever
CEO & General Counsel
Doug Laney
Principal, Data & Analytics Strategy Best-Selling Author of "Infonomics"
Summary Slide from Fireside Chat
Doug Laney
This is Doug Laney, Data & Analytics Strategy Principal at Caserta and author of the book “Infonomics: How to Monetize, Manage and Measure Information as an Asset.” ” I am here today with Gary LaFever, CEO and General Counsel at Anonos, to discuss why companies need “Access to Data for Digital Insights.”

Infonomics - the term I coined in my book to describe monetising, managing, and measuring information for competitive advantage - is even more important for organisations to survive and thrive in today’s economy. They must maximise the value and pace of their data journey to succeed. Infonomics in these highly uncertain times does not tolerate inefficiency.

Successful data sharing and data use arrangements will make all the difference between post-pandemic winners and losers. Sustainable, trustworthy and transparent data strategies require that adequate controls exist to satisfy both customers and data sharing partners that the data collaboration will be safe as well as effective. Without adequate controls, organisations may not get access to the data they need for successful digital insight.
Gary LaFever
Doug, I fully agree that effective digital insights require data use controls.

Organisations can gain the most value when they can use data across multiple environments with different partners to discern insights. Maximum data value often comes from combining, adding new information, and processing data from different perspectives. For effective digital insight strategies, organisations must control the exchange of specific information with different partners, meet contractual obligations, and process data under controlled conditions internally and externally.

Customers as well as data sharing partners may be unwilling to share data if the organisation who wants to collaborate with them does not have adequate controls in place.
On the flipside, if an organisation relies on traditional data protection technologies, like anonymisation via tokenisation, generalisation or suppression as well as newer techniques like Differential Privacy, synthetic data or homomorphic encryption, they may not get access to all the data they need for effective digital insights. This is because these technologies only protect data for limited centralised purposes only.
Anonos decentralised data protection technology resolves these issues by controlling data use across multiple environments and different partners. This is helpful when organisations experience trouble getting access to third-party data to augment the value of their data assets, or when third-parties express concern about potential liability or business disruption from using data provided by the organisation.

Anonos decentralised data protection technology enables lawful and ethical multi-party processing both inside and outside of an organisation’s environment. The key is our combination of GDPR-compliant Pseudonymisation and CCPA-compliant heightened de-identification, which are used together with patented risk-based controls that flow with the data to control data relinking capabilities.

By embedding dynamic, risk-based controls into data flows, as highlighted by Gartner when they awarded Anonos “cool vendor” status, Anonos technology is able to maximize data utility and value while preserving 100% accuracy.
Doug Laney
Gary, can you provide a use case where Anonos technology helps to enable “Access to Data for Digital Insights”?
Gary LaFever
Let’s look at a consulting firm that desires to provide supporting data and analysis to help clients make and execute strategic and tactical decisions. Professional advisory firms are increasingly concerned about lawful and ethical access to data necessary for them to provide value to clients. Challenges arise primarily because:
  • The data obtained from customers may be problematic in terms of liability.
  • Dealing with PII, or non-PII data that can become identifying when combined, can cause disruptions to operations. This occurs when data subjects demand that their data be deleted; firms must then show that it is deleted. Data assets cannot be processed effectively when they are constantly changing.
  • Value-add to data is needed, e.g. combining data among clients, and from third-parties.
  • Third-party data can often be “contaminated” with PII.
  • Alternative data sources may not be willing to accept liability and risk.
Anonos decentralized data protection is different from other solutions. Tokenisation and other PETs work, but do not embed controls that flow with the data to enable decentralised processing in Anonos technology does not rely on privacy “boxes” or “cages” to protect it - rather, we put the controls into the data, so that risk is managed wherever the data goes, even during data sharing, combining, or transforming.

This approach ensures uninterrupted access to third-party data and alternative data, and protects consulting firms from legal or operations risk. As a result of using Anonos technology, consulting firms can:
  • Use Lawful Insights API to transform data that comes from Third Party data providers into usable “Variant Twins” that are lawful, ethical, and accurate.
  • Enable alternative data sources to use Lawful Insights API to control the data they make available to the consulting firm or its clients.
  • Provide customers with access to BigPrivacy to send data to and receive data from the consulting firm for specific purposes.
  • Share and combine data with and between clients with reduced risk of liability or operational disruption for any party.
Contact Anonos at or Caserta at for more information.

Are you facing any of these 4 problems with data?

You need a solution that removes the impediments to achieving speed to insight, lawfully & ethically

to Insight
Are you unable to get desired business outcomes from your data within critical time frames? 53% of CDOs cannot achieve their desired uses of data. Are you one of them?
Lack of
Do you have trouble getting access to the third-party data that you need to maximise the value of your data assets? Are third-parties and partners you work with worried about liability, or disruption of their operations?
Inability to
Are you unable to process data due to limitations imposed by internal or external parties? Do they have concerns about your ability to control data use, sharing or combining?
Are you unable to defend the lawfulness of your current data processing activities, or data processing you have done in the past?
Traditional privacy technologies focus on protecting data by putting it in “cages,” “containers,” or limiting use to centralised processing only. This limitation is done without considering the context of what the desired data use will be, including decentralised data sharing and combining. These approaches are based on decades-old, limited-use perspectives on data protection that severely minimise the kinds of data uses that remain available after controls have been applied. On the other hand, many other new data-use technologies focus on delivering desired business outcomes without considering that roadblocks may exist, such as those noted in the four problems above.
Anonos technology allows data to be accessed and processed in line with desired business outcomes (including sharing and combining data) with full awareness of, and the ability to remove, potential roadblocks.