KEENCORP IN THE NEWS

KeenCorp’s Heat Maps looks at what is actually happening during work rather than what employees say on a survey. The tool runs in the background, analyzing changes in language across the full sweep of communications and detects where there is stress, discord and also where things are doing well. KeenCorp’s offering is not sentiment analysis. Rather, it looks at behavioral change expressed in language and is a compliment to sentiment analysis.

AI technologies like KeenCorp and Humanyze can be especially useful for global franchisors where franchisees and the head office are geographically spread out. This type of software is a “gamechanger” when it comes to keeping up morale. “They assess language and communication within businesses and analyze what’s affecting performance. They can pinpoint where enthusiasm may slowly be seeping away and give HR teams time to act before things may escalate,” explains Daniel.

Viktor Mirovic With over 10 years of work experience basically spread between Asia and Europe, Viktor has always pursued the road less traveled. With a background in business administration and a broad interest in business dynamics, Viktor fosters a genuine curiosity in why “things are as they are”. Meanwhile, he loves to touch the scales of risk and return as this is what drives dreams…

Presentation at PAFOW San Francisco 2020 by Ed Juline, VP Americas

KeenCorp is among the leading sentiment analysis tools providers out there. It comprises two dashboards:
- MoodMetrix to map periodic employee sentiment trends
- Attitude Heatmap to prioritize management decisions based on the findings

KeenCorp has a host of features, including cloud/on-premise deployment, integration with popular communication channels like Office and G-suite, visualization dashboards, and data anonymization. The tool is available at an annual pricing model, starting at €15 per participant per year for companies with over 10,000 participants.

Another is Rotterdam, Netherlands-based KeenCorp B.V., which uses language analysis that can analyze employee emails and chats to measure engagement and "tension" in a workplace. It generates an index to tell how critical groups are doing.

One issue with surveys is “they only capture a part of the information, and that’s the part that the employee is willing to release,” said KeenCorp co-founder Viktor Mirovic. When surveyed, respondents often hold back information, he explained, leaving “unsaid” data that has an effect similar to “unheard” data.

Or maybe it’s because many employers monitor staff communications, their keystrokes, their internet histories. Some of this is to counter risk, some to keep workers on task. But there are several services now, including KeenCorp, which can gauge morale, engagement, and their alignment with change programmes by analysing staff emails.

Word leading analyst Mr John Sumser recognizes KeenCorp as “the coming way of operating a business”. KeenCorp is also the only company outside the US to receive this award for 2020.

“If the software is not good for the individual employee, expect a difficult implementation process,” said KeenCorp marketing director, Jean-Pierre van Lin. “The individual has to know, what’s in it for me?”

Boston Consulting Group identifies KeenCorp as a key technology to identify strategic risk in order to succeed in the next decade.

Engagement is top-of-mind for all recruiters and companies must feel compelled to double down on their focus on AI as it relates to employee engagement. But AI adoption and embracement should not be taken lightly. Especially in the case of engagement, tools must be evaluated with a critical eye towards privacy concerns, biases, and effectiveness. Most importantly, employees should be part of the conversation in terms of whether these tools ought to be part of their workplace milieu.

One of the predictive tools already existing in the market is KeenCorp. To detect risk areas, it analyses emails, chats in messaging systems, and other digitally written texts created across the organization over the past two years. Then the system starts aggregating and evaluating real-time conversational patterns. As a result, managers gain insights into what is actually happening in the organization at the personal level, whether there are any areas of tension and conflict, and more.

For example, according to analytics startup KeenCorp, deep semantic patterns in Enron’s internal emails identified latent tensions in the organization, which could have served as a sign of trouble to observers even if they did not know the full extent of its fraud.⁹ This type of analysis could be applied not only to legal risks, but to strategic risks as well.

KeenCorp’s 'check engine' warning software is an important step that companies should take to protect themselves from the dangers of unwarranted criminal litigation.

KeenCorp is a proud contributor to Accenture’s report ‘Decoding Organizational DNA’ published at the WEF in Davos. Businesses are leaving value on the table by holding back on collecting workforce data.

The HR landscape is changing. The sense of urgency is increasing, and with the technology and tools of today many HR teams will be able to use their dashboards daily and increase their impact on the organisation.

For CHROs to succeed on these shifting sands, they will need to lead the way from old HR processes into digitally advanced ones. “It will be important to know traditional HR,” Cappelli says, “but also be open‑minded enough to alternative ways to solve traditional HR challenges.”

Established ONA vendors include companies like Trustsphere, KeenCorp and Microsoft Delve. Some of the vendors in this class also have tools that identify the mood or tone of internal communications to assess where organizations might be under stress—or to help uncover potential fraud.

Of course, we recognize that together Microsoft and LinkedIn form a huge organization with lots of nooks and crannies. But it’s hard to ignore the facts that, first, LinkedIn is moving into the engagement space and, second, Microsoft is already developing ways to measure employee performance. Now let’s consider that startups like KeenCorp are already building tools to passively measure employee attitudes in real time.

In an ideal world, employees would be honest with their bosses, and come clean about all the problems they observe at work. But in the real world, many employees worry that the messenger will be shot; their worst fears stay bottled up. Text analytics might allow firms to gain insights from their employees while intruding only minimally on their privacy. The lesson: Figure out the truth about how the workforce is feeling not by eavesdropping on the substance of what employees say, but by examining how they are saying it.

Likewise, data analytics firm Keen Corp, who cut its teeth analyzing Enron email archives, are now using text analysis to create employee engagement heat maps based on the contents of email communications.

KeenCorp not only studies network traffic but also identifies the mood of
communications and can identify when a part of the organization is under
stress. The company believes, for example, that its software could have
predicted the Enron accounting scandal.

In fraud and compliance, the opportunities are massive. One study found that employees who steal or commit crimes are “contagious” to their peers (people who work with them pick up bad habits). AI can look at organizational network data (email traffic, sentiment of comments) and identify areas of stress, areas of possibly ethic lapses, and many other forms of compliance risk, and the point out the “red areas” to HR or compliance officers so they can intervene before bad behavior occurs.

Omniscien Technologies is a leading global supplier of high-performance and secure high-quality Language Processing, Machine Translation and Machine Learning technologies and services for content intensive applications.