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People & HR analytics
A short presentation on definitions, key terminologies and
opportunities for growth
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
1
People Analytics
Keep it simple and segment
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
2
People Analytics Defined
 Definition 1: People Analytics is the use of people-related data to optimize
business outcomes (and solve business problems) at the individual, team or
organizational levels.
 Definition 2: People Analytics is a data-driven approach to achieving the best out
of people. It’s about informing people decisions with insight generated from
analysis of data.
 Definition 3: People Analytics - The practice of making data-backed people
management decisions within an organization.
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
3
Where is the data?
 Traditional Data Sources
 Enterprise Resource Planning
Software
 Attendance/Absence Data
 Employee Data, Academic Credentials
 Government Sources – CRB,
Revenue/Tax Data, HELB Loan etc.,
 Regulatory – NSSF, NHIF, Professional
Associations
 New Age Data Sources
 ERPs, CRMs,
 Social Media
 Facebook
 Twitter
 LinkedIn
 Instagram
 WhatsApp
 Google Groups
 Conferences
 Data Visualization & Cloud Apps
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
4
People Analytics
Continued
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
5
Recommendations – People Analytics
 Segment – don’t use aggregated data. Sales people data is very different by high
performers vs low performers. Segment by personal characteristics and segment by
role characteristics.
 Integrate people data with business data, such as revenues, expenses and CSAT.
 Integrate people data from multiple sources, such as engagement, absence and
training.
 Data quality is key – but you can’t wait for it to be perfect. You get data clean by
using it.
 Tell the story – to have an impact, you have to communicate the story in business
terms.
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
6
People vs HR Analytics
What’s the difference?
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
7
What’s the difference?
HR analytics is the use of statistical methods like factor analysis, correlation and
regression and making use of different sources and variables to arrive at meaningful
insights. It helps HR understand the dynamics in the workforce.
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
8
Sample Questions answered by HR
Analytics
 Will the predictive attrition model help identify who is going to resign in the next,
three, six or 12 months? What is the efficiency factor of this predictive model?
 Is the new tax-friendly employee compensation and benefits program driving
higher retention?
 Are the highly engaged employees at the workplace highly productive? Are they
spreading positive employer brand in the workplace and social media?
 Will work from home/flexible working hours lead to better engagement, and to
what extent?
 Which generation of employees (Gen X, Gen Y, Gen Z , Millennial) is contributing
more towards profitability?
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
9
Sample Questions answered by HR
Analytics
 What are the major reasons for attrition? Is the preventive HR intervention effective
in controlling attrition?
 Is there any correlation in employees who are leaving within six months of joining?
 Is there any relation between employees who stay within 10 km radius and
retention?
 Is the newly designed Employee Fraud Risk Management effective? Is there any
correlation between frauds committed by habitual noncompliant employees/
disengaged employees?
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
10
Certificate Course in People &
HR Analytics
A OpenCastLabs Consulting Course
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
11
Course Details
Duration: 2 full days
Training Location: Nairobi
Investment: $ 300.00
Next Training Date: October 13th & 14th 2016
Venue: To be announced
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
12
Who Should Attend?
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
13
Mid-level HR professionals with three to seven years of HR
experience
HR Specialists looking to gain insight into HR its
measurement of outcomes
Professionals who want to learn how HR output supports
the business through facts and insight
HR professionals who need a greater understanding of the
drivers of business performance
HR professionals who support business leaders
Class Objectives
 Prepare HR Professionals to develop and analyze advanced data models
 Help HR Professionals to enlarge their scope and breadth on the applications of
analytics to obtain insights that are most valuable to the organizations they work
with.
 Help HR Consultants build confidence and industry standards in delivery of HR
analytics solutions adoption
 Help HR professionals predict and answer questions on employee attrition, when to
cut/hire, articulate on organization’s overall health through surveys and staff
appraisals.
 Teach HR Professionals use available tools such as Excel for data analysis and
visualization.
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
14
Course Overview – Key Topics - I
 The Role of Analytics in HR
 A Brief History of the Evolution of Analytics
 Why Is Analytics Important to the HR Field?
 HR Analytics Defined
 HR's Value Proposition
 An Overview of HR Regulations and Reporting Requirements
a. HR Policies, Procedures, and Guidelines
b. Key Regulations and Reporting Requirements
c. Metrics, Benchmarks, and Other Indicators
d. Connecting Missions or Goals to HR Benchmarks and Metrics
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
15
Course Overview – Key Topics - II
 Analytics Tools and Techniques for HR Professionals
a. Hands-on introduction to People/HR Analytics
b. Key Systems of Record for HR Data
c. Software Tools
d. Excel Quantitative Techniques
e. Excel Visualization
f. Excel Analytic Techniques
 Using the Analytics Process Model
a. The Analytics Process Model and Its Phases
b. Applying the Analytics Process Model
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
16
Course Overview – Key Topics - III
 Demonstrate use of the Analytics Process Model to analyze HR data
 Measuring Employee Satisfaction (Class Exercise)
a. Typical/Traditional an modern HR Data Sources
b. Terminologies and Technologies that drive HR Data Analytics
c. Practical Class activity on how to measure employee satisfaction using the American
Customer Satisfaction Index (ACSI) Model
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
17
about us
OpenCastLabs Consulting (OCL) partners with for-profit, non-profit government, commercial and retail sectors
to deliver innovative training solutions based on big data, data science, Microsoft Excel, Analytics, Data
Processing, Data Mining and related data verticals.
OCL Services offers market research, employee satisfaction surveys, aptitude tests development/deployment,
psychometric testing & HR dashboards deployment.
Our courses are delivered either in-house or corporate onsite through out the Eastern African region.
To book/sign up for training
Contact: David K. Kandie, Principal
OpenCastLabs Consulting, State House Avenue,
Email: info@opencastlabs.co.ke |Website: www.opencastlabs.co.ke/training
September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala |
18

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People & HR Analytics Course - OpenCastLabs Consulting.

  • 1. People & HR analytics A short presentation on definitions, key terminologies and opportunities for growth September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 1
  • 2. People Analytics Keep it simple and segment September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 2
  • 3. People Analytics Defined  Definition 1: People Analytics is the use of people-related data to optimize business outcomes (and solve business problems) at the individual, team or organizational levels.  Definition 2: People Analytics is a data-driven approach to achieving the best out of people. It’s about informing people decisions with insight generated from analysis of data.  Definition 3: People Analytics - The practice of making data-backed people management decisions within an organization. September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 3
  • 4. Where is the data?  Traditional Data Sources  Enterprise Resource Planning Software  Attendance/Absence Data  Employee Data, Academic Credentials  Government Sources – CRB, Revenue/Tax Data, HELB Loan etc.,  Regulatory – NSSF, NHIF, Professional Associations  New Age Data Sources  ERPs, CRMs,  Social Media  Facebook  Twitter  LinkedIn  Instagram  WhatsApp  Google Groups  Conferences  Data Visualization & Cloud Apps September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 4
  • 5. People Analytics Continued September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 5
  • 6. Recommendations – People Analytics  Segment – don’t use aggregated data. Sales people data is very different by high performers vs low performers. Segment by personal characteristics and segment by role characteristics.  Integrate people data with business data, such as revenues, expenses and CSAT.  Integrate people data from multiple sources, such as engagement, absence and training.  Data quality is key – but you can’t wait for it to be perfect. You get data clean by using it.  Tell the story – to have an impact, you have to communicate the story in business terms. September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 6
  • 7. People vs HR Analytics What’s the difference? September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 7
  • 8. What’s the difference? HR analytics is the use of statistical methods like factor analysis, correlation and regression and making use of different sources and variables to arrive at meaningful insights. It helps HR understand the dynamics in the workforce. September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 8
  • 9. Sample Questions answered by HR Analytics  Will the predictive attrition model help identify who is going to resign in the next, three, six or 12 months? What is the efficiency factor of this predictive model?  Is the new tax-friendly employee compensation and benefits program driving higher retention?  Are the highly engaged employees at the workplace highly productive? Are they spreading positive employer brand in the workplace and social media?  Will work from home/flexible working hours lead to better engagement, and to what extent?  Which generation of employees (Gen X, Gen Y, Gen Z , Millennial) is contributing more towards profitability? September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 9
  • 10. Sample Questions answered by HR Analytics  What are the major reasons for attrition? Is the preventive HR intervention effective in controlling attrition?  Is there any correlation in employees who are leaving within six months of joining?  Is there any relation between employees who stay within 10 km radius and retention?  Is the newly designed Employee Fraud Risk Management effective? Is there any correlation between frauds committed by habitual noncompliant employees/ disengaged employees? September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 10
  • 11. Certificate Course in People & HR Analytics A OpenCastLabs Consulting Course September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 11
  • 12. Course Details Duration: 2 full days Training Location: Nairobi Investment: $ 300.00 Next Training Date: October 13th & 14th 2016 Venue: To be announced September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 12
  • 13. Who Should Attend? September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 13 Mid-level HR professionals with three to seven years of HR experience HR Specialists looking to gain insight into HR its measurement of outcomes Professionals who want to learn how HR output supports the business through facts and insight HR professionals who need a greater understanding of the drivers of business performance HR professionals who support business leaders
  • 14. Class Objectives  Prepare HR Professionals to develop and analyze advanced data models  Help HR Professionals to enlarge their scope and breadth on the applications of analytics to obtain insights that are most valuable to the organizations they work with.  Help HR Consultants build confidence and industry standards in delivery of HR analytics solutions adoption  Help HR professionals predict and answer questions on employee attrition, when to cut/hire, articulate on organization’s overall health through surveys and staff appraisals.  Teach HR Professionals use available tools such as Excel for data analysis and visualization. September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 14
  • 15. Course Overview – Key Topics - I  The Role of Analytics in HR  A Brief History of the Evolution of Analytics  Why Is Analytics Important to the HR Field?  HR Analytics Defined  HR's Value Proposition  An Overview of HR Regulations and Reporting Requirements a. HR Policies, Procedures, and Guidelines b. Key Regulations and Reporting Requirements c. Metrics, Benchmarks, and Other Indicators d. Connecting Missions or Goals to HR Benchmarks and Metrics September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 15
  • 16. Course Overview – Key Topics - II  Analytics Tools and Techniques for HR Professionals a. Hands-on introduction to People/HR Analytics b. Key Systems of Record for HR Data c. Software Tools d. Excel Quantitative Techniques e. Excel Visualization f. Excel Analytic Techniques  Using the Analytics Process Model a. The Analytics Process Model and Its Phases b. Applying the Analytics Process Model September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 16
  • 17. Course Overview – Key Topics - III  Demonstrate use of the Analytics Process Model to analyze HR data  Measuring Employee Satisfaction (Class Exercise) a. Typical/Traditional an modern HR Data Sources b. Terminologies and Technologies that drive HR Data Analytics c. Practical Class activity on how to measure employee satisfaction using the American Customer Satisfaction Index (ACSI) Model September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 17
  • 18. about us OpenCastLabs Consulting (OCL) partners with for-profit, non-profit government, commercial and retail sectors to deliver innovative training solutions based on big data, data science, Microsoft Excel, Analytics, Data Processing, Data Mining and related data verticals. OCL Services offers market research, employee satisfaction surveys, aptitude tests development/deployment, psychometric testing & HR dashboards deployment. Our courses are delivered either in-house or corporate onsite through out the Eastern African region. To book/sign up for training Contact: David K. Kandie, Principal OpenCastLabs Consulting, State House Avenue, Email: info@opencastlabs.co.ke |Website: www.opencastlabs.co.ke/training September 16OpenCastLabs Consulting | www.opencastlabs.co.ke | Nairobi | Kigali | Kampala | 18