Data Privacy Software Resources - Page 18
Articles, Glossary Terms, and Discussions to expand your knowledge on Data Privacy Software
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, and discussions from users like you.
Data Privacy Software Articles
The Evolution of Privacy Enhancing Technologies (PETs) Trends in 2022
This post is part of G2's 2022 digital trends series. Read more about G2’s perspective on digital transformation trends in an introduction from Tom Pringle, VP, market research, and additional coverage on trends identified by G2’s analysts.
by Merry Marwig, CIPP/US
Data Privacy Tech Users Want Easier Tools
What do users of data privacy management software think about their software? At G2, we ask. G2 is the world’s largest tech marketplace, where B2B tech users can review the software and services they use and read other software reviewers’ insights to discover tech solutions that best fit their needs.
by Merry Marwig, CIPP/US
Vendor Security And Privacy Assessments Market To See Huge Growth
Security and data privacy are on the minds of software buyers right now, according to G2’s 2021 Software Buyer Behavior Report. Security is listed as the topmost important factor for mid-market and enterprise buyers when purchasing software, surpassing other factors such as integrations, scalability, and a one-year return on investment (ROI).
by Merry Marwig, CIPP/US
Implementing Data Privacy Management Software: How Long Does It Take?
It’s been a busy past year for those working in the data privacy industry. 2020 welcomed the implementation date (January 1, 2020) and enforcement date (July 1, 2020) of the California Consumer Privacy Act (CCPA).
by Merry Marwig, CIPP/US
CCPA: Everything You Need to Know
Following extensive media coverage of the Facebook-Cambridge Analytica scandal, the Equifax data breach, and countless other known data breaches, consumers have become more aware of how their personal data is being used and misused by companies.
by Merry Marwig, CIPP/US
Data Privacy Software Glossary Terms
Data Privacy Software Discussions
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Question on: KeenCorp
What happens with the outcomes of the measurement?
Results will become part of the regular management information dashboard, and are shared with you just as other parts of our dashboard are shared.
The management team can pre-define certain thresholds at the software to function as an “early warning system” which will alarm management whenever the KeenCorp Index has exceeded these so timely action can be taken.
Within a stable business context without specific planned events which may affect employee engagement, when the KeenCorp Index drops during short intervals (< 1 month) there is usually no reason for concern or need for action. However, if it keeps dropping during a period of a month or longer, it is relevant to find out the reason behind the drop and management needs to act on it.
When the EBI drops/declines significantly there are two basic options:
1. The cause of this change is clear, so immediate action can be taken. The cause is clear when something has happened that is bound to have an impact on the mood, like for example a financial crisis, people are leaving the organization, illness, accidents, internal or external pressure, unmanageable situations.
2. The cause is not yet clear, further assessment is needed before action can take place, but in general solutions are expected to be manageable from within the organization. An assessment can be conducted via team interviews, organizing workshops (e.g. Engagement Canvas) or organizing management and team meetings with engagement and its drivers as main topic.
Remediation will depend on specific situations, but will always directly or indirectly address the main engagement drivers listed under “what causes variations in the KeenCorp Index?”
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Question on: KeenCorp
What causes variations in the KeenCorp Index?
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.
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Question on: KeenCorp
What does the KeenCorp software do, step by step?
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.






