Data Privacy Software Resources

Benchmarking, trend analysis and pattern comparisons between relevant groups in an organization (e.g. leaders of different levels, gender, ethnicity, those interacting with clients, innovators, business units etc.) are used to reveal issues. Variations and relativities are more important than the actual score. All the classical reasons that drive personal involvement (or: commitment, engagement, vitality, resilience) cause variations in the KeenCorp index. In particular: - Leadership style related, more specifically: o Degree of autonomy in the job; o Sense of belonging / social support; feeling part of a social entity; o A feeling of being competent, and working at a level that mildly challenges your competencies to enable you to grow. Sufficient recognition and compliments, and timely feedback from a credible source helps in this area as well; o Decency: indecent behavior (bullying, fraud, discrimination - “bad culture”) will impact engagement negatively o Purpose: people that experience a lot purpose in their jobs feel better. Typically this occurs when there is a component in the job like helping/coaching others, or creating something real (craftsmen). At higher level jobs, it is about organization contributes to something useful typically health, peace, well-being, helping others/the needy forward - Enablement related: o Sufficient resources to execute the job well o Flexibility of procedures, or in the negative: red tape, dysfunctional processes o Inconveniences, hygiene factors - Impactful events - Business success / trust in the organization’s future - Pattern recognition and benchmarking will reveal the main reasons. Specific people-related risks are revealed through patterns of certain groups, for example: - Management layers are expected to score higher than average. Deviant patterns indicate an execution risk; - Females and ethnic minorities are expected to score at par with average; deviant patterns may indicate a risk around diversity and inclusion; - People working in development / innovation are expected to score higher; a deviant pattern indicates a core competence risk; - Etc.

In order to perform analysis on email or chat messages, KeenCorp's software will automatically perform the following actions: - Detection and anonymization of the sender and receiver of the mail. Every mailbox will solely be linked to a predefined group so that an individual email message can never be traced to an individual participant; - Detection of the email's language; - Analysis by a NER (Named Entity Recognition): names, places and company names within the email message will be anonymized (an example of a processed message can be provided); - Processing of the anonymized email message by KeenCorp's algorithm. The email will be processed to a numerical value that in no way can be related to the original email message. - The exact processing of the aforementioned steps is the intellectual property of KeenCorp and consequently it is not provided to third parties. - After the processing of email is finished, all messages will be erased from KeenCorp’s server memory: KeenCorp's server will never save any form or part of the original email message. The only data saved is a numerical value, which is further processed into a numerical index which is the only value stored into the database. This index is linked to a predefined group and added to the group's daily average index, removing the theoretical possibility of linking any individual measurement to an individual email message or user. Requesting and visualizing the measurement data is performed by one of KeenCorp's servers. All communications are always conducted through a secure and encrypted connection. For encryption KeenCorp uses the AES256 encryption (256 bits) standard. AES256 is the “Advanced Encryption Standard” which is used, for instance, by government and security agencies in the United States to encrypt “Top Secret”-level documents and communications. KeenCorp servers only accept data from IP-addresses which are specified during the set-up process in collaboration with the client. When encrypted data is received by KeenCorp's servers, incoming data is decrypted using accompanying credentials. Based on these credentials sender identity can be verified.

The KeenCorp software is comparable to a spam filter: the text of e-mails is automatically processed by the algorithm. For every text, sender-receiver details are anonymized up until the level of a pre-defined group (e.g. the groups ‘accounting’ or ‘management’) of at least 10 persons. In addition, for each processed text, names, place names and company names are automatically anonymized before processing. Finally, the only information stored is a single combined score or index, a number, for each defined group. As a result of this, a single measurement can never be traced back to an individual. This process is explained in more detail in the video (available from KeenCorp website). KeenCorp’s Privacy by Design is in fact comparable to 4 locks on the door to an empty room: 1. Anonymization and reference removal 2. Minimal group size 10 3. For each communication a single numeric index is calculated. This index is added to the average of the group, like a drop of water to a glass. Every day a combined score for every group is generated. 4. No content is ever stored. The ‘room’ is empty because KeenCorp doesn’t actually look at what is being written, but at the way it is being written. So, each individual’s privacy and confidentiality are 100% protected and the software is designed to do this. Individual communication content is never stored and scores can never be traced back to an individual. The KeenCorp’s algorithm does not look at personal content and content is never stored.