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IBM Kenexa
Talent Insights
© 2014 IBM Corporation 2
Smarter Workforce
A rich source of analytics capabilities from IBM’s investment
© 2014 IBM Corporation 3
Smarter Workforce
Cognitive
Predictive
Descriptive
Prescriptive
Integrated
Driving business performance
© 2014 IBM Corporation 4
Smarter Workforce
How do you get insights into your workforce?
How many people have we hired
in the last 3 months and from
what source?
What’s our retention
profile?
Do we have the right talent
needed to grow the
business?
Where should we
invest recruiting
budget?
What is our cost of
attrition?
Are we filling job openings
as fast as we need to?
© 2014 IBM Corporation 5
Smarter Workforce
Getting answers has typically involved multiple steps and people
Data
Access
Analysis Collaboration
Reporting Data
Preparation
Validation
HR Analyst
HR Professionals Data Scientists
and
Statisticians
IT
© 2014 IBM Corporation 6
Smarter Workforce
And its rarely been a straightforward process….
HR Professional Data Scientists
and
Statisticians
IT
Data Access
Analysis
Validation Collaboration
Reporting
Data
Preparation
HR Analyst
© 2014 IBM Corporation 7
Smarter Workforce
IBM Kenexa Talent Insights can help…
Highlights
Instant access to talent analytics for entire HR Organisation
Easy-to-consume visual results speed time to decision
Natural language capability makes it simple to explore data
Guided data discovery helps you discover hidden relationships
Coming….
Predict : find predictive insights hidden in your data. Learn what drives
each behaviour and outcome – take your next steps with confidence
Assemble : Create interactive dashboards to monitor key details, and
infographics that tell persuasive stories.
© 2014 IBM Corporation 8
Smarter Workforce
Working with Talent Insights
• You can explore and analyze your data by interacting with Watson or by starting with the
questions that are provided. Each question opens a visualization in IBM Watson™ Analytics
that you can explore further.
Simply ask Watson a
question, and get an
answer in seconds!
Click an existing
question for an
instant visualisation
© 2014 IBM Corporation 9
Smarter Workforce
A game changing solution
• Get answers to your talent questions faster than ever before
• IBM Kenexa Talent Insights delivers a completely different experience for HR professionals,
in the way they interact with and perform talent data analysis. HR can quickly uncover
insights to answer their talent questions in real-time, without the need for customized IT
systems. Questions such as:
How many people have we hired in the last three months and from what source?
What is the number of high-risk employees by location?
What is the most common reason for a candidate rejecting an offer?
Watson will suggest the
most appropriate
visualisation and data
set based on the
question asked.
© 2014 IBM Corporation 10
Smarter Workforce
Uncover new patterns in talent data
• Kenexa Talent Insights automatically identifies and reveals hidden patterns and relationships
in talent data and suggests a set of potential additional areas to explore. This helps HR
discover underlying issues they might not have known before and get to their root causes.
You don’t know what
you don’t know – let
Watson help by finding
additional areas for you
to explore…..
© 2014 IBM Corporation 11
Smarter Workforce
Choose from 10 visualisations
• Results are surfaced in easy to consume visualisations, suggested by Watson, or selected by
the user.
Only visualisations
appropriate to the
question asked and the
data utilised will be
available.
© 2014 IBM Corporation 12
Smarter Workforce
Choose from 10 visualisations
© 2014 IBM Corporation 13
Smarter Workforce
Calculations, Data grouping & Hierarchies
In seconds, expand upon your existing data to create new data elements or hierarchies not
present in your source systems.
© 2014 IBM Corporation 14
Smarter Workforce
Merge data files for Integrated Insights
When asked a question, Talent Insights will evaluate whether, by joining together two different
data files, the question can be answered. Talent Insights will then recommend the best way to
join the data files.
© 2014 IBM Corporation 15
Smarter Workforce Share findings
Create a PowerPoint presentation of your findings to support your business decisions.
© 2014 IBM Corporation 16
Smarter Workforce
1. Ask question – what is the source of our employees
Looking at recruitment data alone, referrals & twitter seem to
be best source of candidates
2. But are they the best performers – adding in performance
rating we can see lots of 1/2 ratings (high) for this group but
also lots of 3/4 ratings (low)
3. What about these performance ratings as a percentage of
overall hires? Switch chart to % stacked chart. A much higher
% of Rehires are top performers and ALL are high performers.
This is a better source of hire
4. Perhaps focussing recruitment on an alumni population
would source better hires. What about engagement? Switch
Performance Rating to engagement and group into
engagement bands. Rehires are also very highly engaged
5. Is this relationship between engagement and performance
prevalent across the entire organisation? Ask question : show
relationship between performance and engagement by band
EXAMPLE : RECRUITMENT & PERFORMANCE
Understand the source of your best performing and mostly highly engaged employees
6. Grade 7 seems to be an anomaly with low engagement and
high performance. Drill into this to see if this is consistent in all
geographies. Lots of variation across the different countries
© 2014 IBM Corporation 17
Smarter Workforce
1. Ask question – show employees by country. 2. Find out gender split by asking “how many employees by
job title and gender”.
3. Switch visualisation to % bar chart to see % split across
major job families. Can see there are more males in every job
family.
4. Click job title and switch to age, then create an age
banding to see gender split across age band.
5. Click employees and change to salary, then change
visualisation to line chart – now see that young females are
paid less, then by age 38-44 they are paid more, but as the
age increases beyond 44 they are paid significantly less.
EXAMPLE : Diversity & Inclusion – Understand the diversity of your workforce and draw insights around
gender, age and salary
6. Is this across all grades? Quickly apply filter for high-level
grades to see gender pay differential is even more pronounced
in senior roles.
© 2014 IBM Corporation 18
Smarter Workforce
EXAMPLE : ATTRITION
Understand the attrition rates of your workforce and draw insights around function, tenure & gender
1. Ask question – show leavers by country. See spikes in
Mexico and USA 2. Drill Into Mexico by Function. Within Mexico we see high
levels of attrition in Administration, General Management and
HR Admin
3. Filter to these 3 Functions for a clearer picture of attrition
within them
4. Now analyse data for Mexico, for the 3 Functions, by Tenure.
Within these 3 functions in Mexico, there appears to be a high
level of leavers in the first 5 ears of employment
4. Group Tenure into 3 bands (< 5yrs, 5-10yrs and 10+yrs) to
more clearly see if this is really the case. There is definitely
high attrition in < 5yrs of service
5. Is this the case for both males and females? Drill into high
attrition tenure band (<5 yrs) by Gender. More males than
females are leaving within 5 yrs
© 2014 IBM Corporation 19
Smarter Workforce
COMING END 2015 : Predict With IBM Kenexa Talent Insights, we’re giving HR professionals the capability to explore and
find insight in their data, taking the first step in really knowing their workforce, but that’s only the
beginning. As part of the Watson Analytics platform, we’ll soon be introducing even more
innovative tools that help HR professionals build predictive models for understanding and
quantifying the factors that influence HR outcomes like attrition, engagement and performance.
When running a prediction, Watson Analytics runs thousands of algorithms to find the right
model and likely predictors of the chosen HR Factors. Watson will determine
individual or a
combination of factors
most like to predict the
chosen HR Outcome.
© 2014 IBM Corporation 20
Smarter Workforce
Using PREDICT you can build predictive models for understanding and quantifying the factors
that influence HR outcomes like attrition, engagement and performance.
Watson determines
individual or combinations
of factors most like to
predict attrition
EXAMPLE : PREDICT
Analyse those individual that have left Metro to gain insight into the predictors of attrition
By building a combination model, we identify all those factors that are
predictors or attrition. Different views are available including word tree.
Word tree identifies 11
predictors of attrition
© 2014 IBM Corporation 21
Smarter Workforce
Have confidence in your data
Watson will review your data looking for missing or constant values, outliers, imbalance and other anomalies, providing an overall quality score.
© 2014 IBM Corporation 22
Smarter Workforce
Using the appropriate statistical model, Watson can identify particular paths/combinations of
factors that are key predictors of your key HR Outcomes (in this case attrition), allowing you to
take informed business decisions with confidence.
5 decision rules are
identified, with the 1st rule
showing the path with the
highest predictability of the
Outcome analysed (in this
case, Tenure and Monthly
income). Other predictors
such as Function and
Years with Manager are
also included
PREDICT : DECISION TREE
© 2014 IBM Corporation 23
Smarter Workforce
ASSEMBLE : CREAT INTERACTIVE DASHBOARDS
Using natural language questions, drag and drop visuaisations to the dashboard, or use a visualisation wizard.
© 2014 IBM Corporation 24
Smarter Workforce
ASSEMBLE
Use an infographic approach to make the dashboards impactful and appealing
© 2014 IBM Corporation 25
Smarter Workforce
Client Examples
Financial Services
800
US
Oil & Gas
50,000
UAE
Retail
210,000
Canada
Financial Services
5,300
Canada
Consulting
100,000
Global