How Big Insights and Watson Explorer Raise New Abilities to HR Departments

How BigInsights and Watson Explorer
Raise new Abilities for HR Departments
(1240A)
Jean-Baptiste Martin,
Capgemini
Laurent Sergueenkoff,
IBM
October 26, 2015

2Copyright © Capgemini 2015. All Rights Reserved
How BigInsights and Watson Explorer Raise new Abilities for HR Departments (1240A) | October 2015
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an individual user will achieve results similar to those stated here.

Agenda
HR Challenges
Capgemini’s People Analytics
Solution Architecture
Implementation Feedback
Benefits
Next Steps

HR Challenges
How do I build an
efficient team to start
my project?
I have thousands of
candidates available;
how to find the right
one?
What skills is the
market looking for?
How should I train my
people to fill the gap?
How do I save time
and reduce costs in
my recruitment
process ?
How can I early
detect and coach my
best talents?
How can I find the
best projects for
employees currently
available?
How do I improve the
employability of my
employees?
To top it off, I need to get reliable answers faster!

+
Integration & Storage Analytics Engine Visualization
People
Management
External
Recruitment
Skill
Management1 2 3
Big Data & Analytics HR Management Solution

A Little Bit of History
What were the needs?
 Difficulties to match job descriptions and candidate profiles
 Lots of customers said they did not find the right solution
on the market
Why using Big Data technologies?
 Lots of unstructured data: CVs in various formats, emails,
external sources
 Huge number of combinations between jobs and CVs
Thanks to the Capgemini / IBM Alliance, Capgemini team
met IBM team at Insights 2014 to discuss a business
case
 Decision to go together as soon as possible

A Little Bit of History
Project started in November 2014
 A first round of demos and presentations revealed a strong
interest for the solution
New use case ideas
 Measure the gap between the employees’ knowledge and
the company strategy
 Do employees skills follow a good trend ?
All the use cases have been developed or on-going
The product is a foundation
 It can be adapted to the industry
 It is evolving to follow technologies such as Spark

Introduction Video

People Analytics Architecture
HDFS
Store
WEX
AppBuilder
Analytics
Engine
Data
Reconciliation
Watson Explorer
Enterprise
Repo
Availability
Data
HR Data
Supply
and
Demand
Repository
BigInsights
WEX Engine
Data Indexing
Visualization
Data Access

BigInsights
5,000,000 x 5,000,000
Small Small
Big
Why a Big Data platform?
Small Data Storage, Big Data Processing
Why BigInsights?
ODPi
Big R
BigSQL

Watson Explorer
First thoughts: use Cognos BI?
Why Watson Explorer?
 Search Engine Features
 AppBuilder Freedom
 WEX Content Analytics

Technical Architecture
Entry Level Configuration (0-300K documents)
 Virtual Server
• Linux RHEL 6 64-bits
• 500 Gb Disk Space
• 64 Gb RAM
• 8 vCPU
 1 node as Driver, 1 node shared with Watson Explorer
Business-oriented Capacity Planning
 A document: CV-like content, job-like content
 1 document ~400Kb
 1 node per additional 300K documents
x 2

Analytical Processing Considerations

Spark Migration Benefits
1,000 people
300
assignments
X
Standalone Scripts for Data
Processing
.sh
Big Data Standalone Server
Initially
R Pig Java
Duration: one night

Spark Migration Benefits
60K people
3,500
assignments
X
Unified Analytics Engine
Big Data Cluster (2 Nodes)
Finally Duration: 15 minutes

Spark Feedback
rdd.flatMapValues(x => x)
rdd.flatMapValues(
new Function<
List<Tuple2<Tuple3<String, Double, Double>, Tuple3<String, Double, Double>>>,
Iterable<Tuple2<Tuple3<String, Double, Double>, Tuple3<String, Double, Double>>>
>() {
public Iterable<Tuple2<Tuple3<String, Double, Double>, Tuple3<String, Double, Double>>>
call(
List<Tuple2<Tuple3<String, Double, Double>, Tuple3<String, Double, Double>>> arg0) throws
Exception {
return arg0;
}
})
Using Java
 Java 7 is... verbose
Same in Scala:
 Object-oriented programming & parallel programming
 Object serialization
 MLlib vs. Custom Implementation

Playing with Watson Explorer (AppBuilder)
<%
#erb ruby view
if !params['jFilter'].nil?
jParameters = JSON.parse(params['jFilter']);
query =
query.where(field('x').is(jParameters['minGrade']))
query.entities.requesting(10).each do ...
Strong UI Customization Capabilities:
 HTML5, CSS3, JS, JQuery, D3.js
Filtering with Custom Widgets
Crawling Data from HDFS

Benefits for Business
Learn more about the
Benefits for HR during
Session #1066A
Improving HR
processes with
Advanced Analytics
and Big Data
 For an HR manager
• Scale of time is definitively not the same
– It takes many hours for a human to read, analyze
and select profiles
– It takes seconds to minutes for a machine
• Completeness
– The machine will analyze ALL the profiles without
any discrimination
– A benchmark showed that the system proposed the
same profiles PLUS others that the HR manager
had not seen
• Extended scope
– The seeking scope is much larger: emails, external
sources
 For the company
• It provides a global view of the employee skills

Technical Benefits
Scalability
 Hadoop can scale by adding new hardware easily
 Hardware cost stays reasonable
Capgemini and IBM are both members of ODPi
 For better software integration and consistency

Product Roadmap
June 2016
January 2016
June 2015
* Developed in partnership with a final client
Team Staffing
People Retention
Skill Management
External Recruitment
Internal Mobility & Staffing

Technical Roadmap
Code migration to Scala
Partnerships on external recruitment (on-going
discussions with industry leaders)
Use of Watson services (speech recognition, language
translation,...)

Business Status
Several projects and pilots on-going for clients in
various industries, such as:
 Capgemini Group
 Car manufacturing
 Travel and transportation
US Roadshow: Ask for a demo!

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Benchmark
Create, publish and maintain the IT security
policy.
Provide the global architecture for IT security
implementation.
1er Oscar M.
2e Paul G. 3e Emmanuel W.
5e Eric G. 4e Hassan K.
Good Match: algo & human
Good match: algo
Average match: algo

The information contained in this presentation is proprietary.
Copyright © 2015 Capgemini. All rights reserved.
Rightshore® is a trademark belonging to Capgemini.
www.capgemini.com
About Capgemini
Now with 180,000 people in over 40 countries, Capgemini is one
of the world's foremost providers of consulting, technology and
outsourcing services. The Group reported 2014 global revenues
of EUR 10.573 billion.
Together with its clients, Capgemini creates and delivers
business, technology and digital solutions that fit their needs,
enabling them to achieve innovation and competitiveness. A
deeply multicultural organization, Capgemini has developed its
own way of working, the Collaborative Business Experience™,
and draws on Rightshore®, its worldwide delivery model.
Learn more about us at www.capgemini.com.

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