Kanjoya

FEBRUARY 3, 2016

To identify what makes great managers great, Facebook reviewed employee engagement data, selecting teams with the highest levels of engagement. From that data, Facebook identified these 7 key traits of great managers. The good news is that most companies have this data tucked away in employee and engagement surveys, 360-degree feedback, and other people data. Be timely.

Data 128

Data Guidelines Analysis Survey 128

Kanjoya

MARCH 24, 2016

Too much data could overwhelm managers, and yet, too little data will leave them guessing on what action to take. But HR analysts usually need the ability to dig deep into the data and perform ad-hoc analyses. Integrate other workforce data with survey data. Answers to workforce challenges will not be found in one data set or database. It’s not.

Survey 155

Survey Benchmarking Metrics Data 155

Kanjoya

NOVEMBER 9, 2015

Few things could be worse for a company that is aspiring to build the best employee experience than a breach of employee data. So as you’re evaluating cloud-based employee engagement solutions, do your due diligence on solution providers’ data integrity, security, and privacy practices. How often does the provider back up data? 5. If so, how frequently? 3. Want more advice?

Employee Engagement 111

Employee Engagement Data Certification Compliance 111

Kanjoya

JULY 6, 2016

As companies move from annual cycles to quarterly, monthly, weekly, and even continuous feedback, their processes of analyzing and acting on the data must likewise speed up. Business and HR leaders must be able to sift through the deluge of data to pursue the most promising opportunities and mitigate latent risks with confidence and intelligence. Driver analysis isn’t new. The reason?

Analysis 77

Analysis Analytics Metrics Survey 77

Advertisement

compelling data on the table. of the data at hand and tense discussions. development, provides better data on. competition, and big data are all transpiring. stream of data In part 2 of this guide, we explore this roadmap. 1Why Your Company Will Need to. Rethink Performance Management eGuide Part 1: The Argument. moving from traditional performance. happening now.

Performance Management

Kanjoya

JULY 20, 2015

Companies collect data about their people and house it in HR and human capital (HCM) solutions and other point applications. Yet only a handful of companies are using that data in strategic and tactical decisions. This post highlights the types of questions — beyond talent management — that your people data can inform.  . How do we use that data to improve our hiring process?

Data 78

Data Corporate Strategy Analytics Compensation 78

Kanjoya

MARCH 11, 2016

Can the employee survey provider support your employee privacy and data permissions requirements? When large companies move from a consulting to a SaaS environment, they are often surprised they must manage and control the employee survey data themselves. Two key data points may alleviate that concern: The number of enterprise customers the solution provider has.

Survey 77

Survey Software Data Analytics 77

Kanjoya

MAY 23, 2015

All data are not created equal. We believe that not all data has equal weight within an organization; some sources are more valuable and information-rich than others. We have also discovered that combining and correlating varying data types – in particular, quantitative and qualitative – yields insights of unprecedented nuance and quality.

Diversity and Equality 99

Diversity and Equality Analytics Analysis Data 99

Kanjoya

MARCH 9, 2015

First a bit about the Kanjoya approach to diversity: Kanjoya harnesses big data analytics, natural language processing (NLP), and machine learning to take the guesswork and ambiguity out of improving diversity and provide metrics to quantify previously nebulous issues. In the realm of gender, for instance, Kanjoya customers are able to identify and compare, in real time and with existing data, the extent to which managers of both genders promote, demote, hire, and fire male and female employees. Do you have a diversity strategy?

Data 76

Data Metrics Trends Analytics 76

Advertisement

compelling data on the table. of the data at hand and tense discussions. development, provides better data on. competition, and big data are all transpiring. stream of data In part 2 of this guide, we explore this roadmap. 1Why Your Company Will Need to. Rethink Performance Management eGuide Part 1: The Argument. moving from traditional performance. happening now.

Performance Management

Kanjoya

NOVEMBER 4, 2015

Your solution provider does not have enterprise-grade data integrity, security, and privacy protections : Employee engagement solutions capture and analyze highly personal information. Questions to ask your solution provider: What controls and procedures are in place to ensure data integrity and privacy? How often do back up data? 2. Congratulations! leadership? teams?) happy?

Data 69

Data Employee Engagement Survey Workday 69

Kanjoya

JULY 22, 2014

Leveraging our Perception technology that has mapped over a 100+ emotional data structures, we compared the emotions within tweets discussing iPhones, and for perspective we similarly did the same for Samsung. Anger expressed focused on price, data plans, and eBay auctions involving the sale of soon to be outdated models. Analyzing data sets and campaigns to reveal the emotion, behavior and intent around products, brands and competition is our specialty. Kanjoya analyzes mobile market emotional response to Apple’s iPhone display announcement. 30th, 2014. Apple’s move to 4.7

Screening 103

Screening Comparison Analysis Data 103

Kanjoya

JULY 1, 2015

People are the most important assets to a business, yet investment decisions to optimize the employee experience are made with (at best) half the sophistication and data used to justify technology, business process, and capital investments. The challenge, of course, is finding the right data and tying it to the right outcomes. The upshot? Poor decisions and sub-optimal results.

Metrics 78

Metrics Onboarding Training Data 78

Kanjoya

JULY 1, 2014

The study was a collaborative effort between Facebook’s data science team, and US scientists. Facebook cites their data use policy and that all users consent upon initial signup. Sample tweet: “The Facebook experiment should be a wakeup call: Poor ethics will poison the big data well”). Kanjoya analyzes the emotional reaction to Facebook’s experiment across Twitter. If you haven’t already heard, in a recent social experiment, Facebook secretly altered the tone of 689,003 people’s Facebook feed. Perhaps a larger question is this: Is this issue as simple as an experiment?

Study 96

Study Data Policies Groups 96

Advertisement

data-gathering with your team. The difference in the data from her starting. data and then sharing it out. 1 kineo.com [email protected] 312-846-6656 Hard to believe that it’s been almost 20 years since the term “eLearning” entered the corpo- rate learning lexicon. And just in the last five years, the velocity at which new solutions have entered. We now. learning nuggets.

How To

Kanjoya

MAY 8, 2015

Fortunately there are supplemental sources of data about the employee experience that are readily available. How to Analyze the Growing Amount of Text-Based Data. You can read, code, and analyze the data manually, but it can be time-consuming and prone to error. Leverage other key sources of employee opinion and feedback to generate a full picture of the employee experience.

Employee Engagement 78

Employee Engagement Survey Analysis Human Capital Management 78

Kanjoya

MARCH 27, 2015

This blog post explores the methods for analyzing the data.  . In developing Kanjoya Perception, we recognized the complexities of human language and we built a solution that: Classifies the topics and issues discussed in employee data, such as Glassdoor responses, into HR-specific categories. Therefore, it’s imperative for business and HR leaders to monitor their company’s reviews.

Analysis 78

Analysis Company Analytics Compensation 78

Kanjoya

OCTOBER 1, 2015

The shelf life on people data is short. Read our white paper, “ Qualitative Data Rocks ” for some of these clues. 4. DON’T allow one department to hoard the analysis and interpretation of the data. And when the survey responses are completed, invest time and technology interpreting data for meaning, especially the open-ended questions. Make these data sources an important part of assessing the employee experience, but also recognize the limitations of them. 7. Deploying employee surveys and acting on them demonstrate your commitment to employees. The outcomes?

Survey 58

Survey Analysis Data Tools 58

Kanjoya

APRIL 14, 2015

Rich,open-ended data are rife with insights about intentions, attitudes, and behaviors, but these questions and answers often the longest to read, code, and analyze. Finally, Perception removes the barriers to sharing insights across the organization by enabling Shane’s team to sharing the appropriate views of the data to the people who are impacted by and can improve engagement. Shane vision’s for “democratizing HR data” drives visibility as well as accountability throughout the organization ― which includes the HR organization, general managers, and line managers.

Data 60

Data Employee Engagement Survey Analytics 60

Advertisement

of data In part 2 of the guide, we explore each of these. data-gathering with your team members to help you focus how. From Performance Management. to Performance Development eGuide 2Part 2: A Roadmap. for Change In Part 1 of this eGuide, we explored the confluence. of factors that’s driving change in how performance. is managed and how organizations are moving. away from the traditional annual review process to. more real-time dynamic approach. This all sounds. very logical, of course, until an organization starts to. push forward with change then finds that there may. Moving.

Coaching

Kanjoya

JULY 28, 2015

Kanjoya technology is able to tap into the bias in our world because it   “ understands language in a unique way that parallels how humans understand data. A few weeks ago, Armen Berjikly, the CEO of Kanjoya, sat down with the Spanish newspaper El Pais. The topic was unconscious bias and how technology could be leveraged to minimize its impact. have included select quotes from that conversation below. The first step to eradicate bias, in Berjikly’s view, is to build awareness that it exists. You cannot fix what you cannot measure.”  . Check out our website or contact us.

Employee Engagement 59

Employee Engagement Course Groups Data 59

Kanjoya

AUGUST 20, 2014

Sentiment analysis, the technology traditionally used to obtain such learnings, sorts complex, human-generated data into positive, negative, and neutral categories. This system is too simplistic to represent human expression, and limits predictive power by misrepresenting a significant portion of data. The results of such analyses are  neither reliable nor actionable.

Analysis 57

Analysis Payroll Data System 57

Kanjoya

SEPTEMBER 28, 2015

In our inaugural appearance at Workday Rising (September 28-October 1, 2015, Las Vegas), Kanjoya is showcasing our data science capabilities that enable Workday customers to reveal employee motivations and intent from unstructured, text-based data. Emotions/Sentiment: Our solution detects over 100 different emotions in the language employees use. Can’t attend Workday Rising this year?

Analytics 36

Analytics Employee Engagement Workday Time and Attendance 36

Kanjoya

APRIL 11, 2016

Through our partnership, we’re enabling Kanjoya customers to benchmark their company against their peers with Sirota’s database filled with over 40 years of data, while additionally offering them hands on support and guidance from Sirota’s seasoned experts. It’s an exciting day here at Kanjoya. We look forward to deploying Kanjoya’s SaaS solution guided by Sirota’s expertise.”.

Employee Engagement 41

Employee Engagement Benchmarking Survey Data 41

Advertisement

data-gathering with your team members to help you focus how. 1Making Dynamic Performance. Development a Reality eGuide 3Introduction Does your organization want to adopt. more dynamic approach to managing. performance and developing employees? We see a stampede of organizations. moving in this direction. At the same. not prepared to follow through because. point: setting expectations. Maybe.

Coaching

Kanjoya

JUNE 9, 2015

The combination of fewer total questions, increased prominence of thoughtful, open ended questions which don’t confine people to boxes, and technology uniquely equipped to understand human expression and deliver instant analytics — leads to higher quality, more powerful data and insights. Design. If you’ve ever designed a survey, you know how difficult it is. And what about burn out?

Data 44

Data Survey Analytics Metrics 44

Kanjoya

JUNE 30, 2015

We are excited to announce that Moritz Sudhof, Chief Data Scientist at Kanjoya, will be presenting at the Sentiment Analysis Symposium on July 15th at 2:35-3:00pm. About Moritz: Moritz Sudhof is Chief Data Scientist at Kanjoya, where he leads the development of emotion and experience modeling technologies. Moritz loves using machine learning and NLP to turn unstructured data into fuel that helps organizations better themselves. The post Kanjoya Chief Data Scientist, Moritz Sudhof, Presenting at Sentiment Analysis Symposium, July 15th in NYC appeared first on Kanjoya.

Analysis 34

Analysis Employee Engagement Analytics Conference 34

Kanjoya

JUNE 15, 2015

While this is not a statistically significant sample, the obtained data may be used for directional purposes. This data was collected prior to February 13, 2015. We all know employee engagement is important. But just how important? Engagement Across the Workforce. More than half of employees, or 51%, are “not engaged.”. 17.5% are “actively disengaged.”. Millennials are the least engaged segment in the workforce. Source: Gallup’s Employee Engagement Survey for 2014 ). The Cost of Engagement. The Impact of Engagement on Churn. Source: the 2015 Experience Project Annual Survey*).

Retention and Turnover 36

Retention and Turnover Employee Engagement Survey Data 36

Kanjoya

JUNE 2, 2015

The conference presented a wide array of topics–from recruiting and retention of women both beginning their careers and established, and programs and partnerships at and between large corporations, universities, and high schools, to approaches involving data and technology, and the unique challenges female minorities face. I recently returned from the National Center for Women in Technology (NCWIT) Summit on Women and IT. The Both women are African American and went on to become pioneers and prolific engineers at NASA–their stories are extraordinary.

Employee Engagement 34

Employee Engagement Time and Attendance Conference Video 34

Kanjoya

OCTOBER 12, 2015

CEO Armen Berjikly and Chief Data Scientist Moritz Sudhof will demonstrate how Kanjoya Perception, our solution created with state-of-the-art natural language processing and machine learning, answers strategic workforce questions like: Which employees will do well in certain roles and why? Our demo highlights our next generation approach to analyzing and making sense of people data.

Employee Engagement 28

Employee Engagement Video Data Analytics 28

Kanjoya

JANUARY 6, 2016

Know the data and the implications. Likewise, examine data on what drove success in your projects or initiatives. “Give me six hours to chop down a tree and I will spend the first four sharpening the axe.”                                    —  Abraham Lincoln. Most working professionals spend time at the beginning of a new fiscal year setting goals for themselves and their teams. But unless required by their managers, they often spend little-to-no time developing the strategic plans to achieve those goals. What worked? What didn’t? What’s different now? What are my risks?

Employee Engagement 26

Employee Engagement Analysis Strategy Examples 26

Kanjoya

JULY 6, 2015

Moritz Sudhof, Chief Data Scientist at Kanjoya, will be presenting at the Sentiment Analysis Symposium on July 15th at 2:35-3:00 pm. Moritz: Our analysis focuses on data sources that organizations use to make management decisions, data in which one person evaluates another using free text. We examine these data sources, such as as interview notes and performance reviews, because they are rich and unstructured; they are as close as we can get to someone’s raw opinions of and attitudes toward another person. Can you spill the beans on what you will be discussing?

Analysis 21

Analysis Employee Engagement Analytics Conference 21

Kanjoya

FEBRUARY 12, 2015

Over the last decade, Fortune 500 and other large businesses have embraced employee engagement initiatives to drive performance.  As these companies have rolled out supporting programs, they have amassed mountains of employee data and information — yet have done nothing with them! After all, old data is stale data: time erodes the value and relevance of data.

Analysis 15

Analysis Oracle Workday Human Capital Management 15

Kanjoya

JANUARY 14, 2015

Millennials, the youngest segment in the workforce,  are the least engaged generation at 28%, a finding that is consistent with 2013 data. It is one thing to collect data about employee engagement and satisfaction, as most organizations do. Many studies conclude that employee engagement has a positive impact on culture, productivity, and the bottom line. The Problem.

Survey 19

Survey Employee Engagement Policies Data 19

Kanjoya

JUNE 3, 2016

As an example, Kanjoya’s soon-to-be-launched driver analysis continuously calculates and learns which questions (or group of questions) – as well as which employee demographic data – impact the business metrics and outcomes of interest. When employee survey results are published, do you and your team obsess over your lowest scores? What is the problem you’re trying to fix? 2. If so, how?

Survey 9

Survey How To Metrics Analysis 9

Kanjoya

FEBRUARY 23, 2015

We believe in real time, seamless data collection and analysis so that employees can report incidents as they happen and share thoughts on an ongoing basis. This text might come from a variety of sources including surveys and internal social networks; Kanjoya aggregates and delivers insights for any and all of your data channels. Impromptu Responses: Dashboard Insights.

Analysis 11

Analysis Survey Metrics Data 11

Kanjoya

NOVEMBER 30, 2015

So rather than relying on what people believe and feel, rely on data: 1. The approach presented above delivers a data-driven perspective on how to how to effectively develop your workforce. Blog Employee Engagement Unstructured Data employee engagement workforce developmentYou must also unleash the potential of new talent – and transform good talent into rockstars.

Video 7

Video Analytics Groups Meeting 7

Kanjoya

SEPTEMBER 29, 2015

Through data science, Kanjoya analyzes text-based employee feedback, survey responses, and other documents to identify: HR-specific themes and topics employees are talking about (are they talking about benefits? Already have data on hand? Set up time with Erik or Moritz at the booth to show you what data science can reveal about your employees. leadership? teams?). excited?

Data 2

Data Analytics Survey Workday 2

Kanjoya

APRIL 11, 2016

Moritz Sudhof: Chief Data Scientist, Kanjoya. Hosted by: Blueboard, Kanjoya, and Zendesk. Rewards and recognition are the most effective ways to thank and motivate employees. As companies embrace the reality of a multi-generational workforce, recognition programs need to not only be valuable, but must also be tailored to what’s most important and enjoyable across diverse groups of employees.

Groups 2

Groups Data Productivity Company 2