Big Data in Human Resources
Nov 01, 2014
Every organization has the opportunity to use Big Data in their people strategies. By using analytics tools and Big Data techniques, organizations can now start to develop a “people model” for their teams, as well as understand precisely how these people-related factors relate to business results. They can also use this data to assess organizational risk, leadership pipeline, engagement factors, and impending workforce gaps in the future.
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Big Data Webinar Series
Big Data Webinar Series
Customer Intimacy & Develop New BusinessMarch 11, 2014
Operational ExcellenceMarch 18, 2014
March 25, 2014
April 1, 2014
April 3, 2014
Big Data in Public Services
Big Data in Healthcare & Life Sciences
Big Data in Human Resources
What is Big Data?
What is Big Data?
Big Data is not about the Volume, Velocity or Variety of data
It’s about collecting data that we never collected before and using it in creative ways to stay competitive and
create value for your business
Moneyball
Moneyball
The Moneyball approach is a real opportunity for HR Departments today
HR Themes
• Employee retention – what creates high level of engagements and retention?
• Accident claims – what factors and which people are likely to create accidents and submit claims?
• Leadership pipeline – what are the most succesful leaders and why are some developed and others are not?
• Customer retention – what talent factors drive high levels of customer satisfaction and retention?
• Candidate pipeline – what is the quality of our candidate pipeline and how do we better attract and select people who we know will succeed in our organization
Catalyst IT Services
Source: Forbes
Big Data Concept
Enterprise Data Hub
HR Analytics
Core HR
Payroll CRMRecruitm.TMTraining Safety
Job Boards MediaSurveys Billing
Job Boards
Interviews
HR Analytics
Data Flow Concepts
AnalyzeAcquire Organize Decide
OLTP Data
RDBMS ETL DWH BI
AnalyzeAcquire Organize Decide
New Data
OLTP Data
Data Flow Concepts
RDBMS ETL DWH BI
Use Case Drives the Data Flows
AnalyzeAcquire Organize Decide
OLTP Data
RDBMS ETL DWH BI
New Data
AnalyzeAcquire Organize Decide
New Data
OLTP Data
RDBMS ETL
Use Case Drives the Data Flows
Big Data Journey
BusinessDefines mandate and
requirements
ITAcquires and
integrates data
Data ScientistsBuild and refine analytic models
ITPublishes new Insights
BusinessConsumes insights
and measures effectiveness
Cronos Big Data Services Offering
Use Case Discovery Workshop
Big DataAnalytics
Implementation Services
Proof ofConcepts
The role of the Data Scientist
Business Strategy Analyst
Hadoop System
Administrator
Hadoop Developer
Data Architect Data Analyst/Statistician
Identify Business Pains &
demonstrate through
Analytical skills how the
available data can be exploited
on a Strategic Level
Hadoop Cluster installation &
administration.Data Loading
Build the relevant
dataset by cleansing, filtering,
grouping and aggregating
the data using parallel
processing languages like MapReduce
Hive, Pig, Impala, Spark,
…
ETL tooling, MDM, Data Cleaning & Matching
Integration with Enterprise
ArchitectureData
Governance & Security
Through statistical Analysis,
conceptual and predictive data
modeling, machine learning,…
Discover patterns, trends, insights.
Translate these to Business
Opportunities
The Role of the Data Scientist
Cronos Big Data ReferencesUse Case Discovery Workshop
Proof OfConcept
Implementation Services
Big Data Analytics
Call Center
Healthcare
Utility
Editor
Telco
ISV
Media
Transport
Manufacturing & Distribution
Online Gaming
Clever usage of datato make better decisions
Conclusions
Contact: [email protected]`+32 496 57 66 27
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