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Scalable HR Integrations for Better Data Analytics
Challenges & Solutions
Shrikant Pattathil Vibhuti Agarwal
President Senior Consultant
Poll #1 – Demographic
What’s your current role in your organization?
a. CHRO or HR Leader
b. HR Manager
c. HR Consultant
d. HRTech Vendor
e. Data, Integration Specialist
f. Others
• Need for Data-Driven HR and its relevance in
organizations
• Aspects of Workplace Analytics Maturity Model
and how to correlate it with your needs
• Understand typical challenges in data
integrations and how to solve them
• How to decide on an integration approach for
your organization
By the end of
this session,
you will learn
Why is Data-Driven HR
Important?
Poll #2 – Use of Analytics
Is your organization using HR and employee data while making decisions?
a. Yes, we are 100% data driven
b. Yes, but only to some extent
c. No
d. Don’t know
• Create a Culture and Strategy around
data and data governance
• Focus on outcomes as opposed to
record keeping
Features of a Data Driven Org.
Data
Strategy
Data
Culture
Data
Governance
Data Analytics for Front Line Managers
• Better HR decision making
• Using data to monitor operations
• Productivity
• Employee Safety, Employee
Wellbeing
• Recruitment
Workplace Analytics Maturity Model
Level 1 – Operational Reporting
Level 2 – Advanced Reporting
Level 3 – Advanced Analytics
Level 4 - Predictive Analytics
ATS Talent Learning Payroll HRIS Emp.
Engagement
… n
Volume,
Time, Cost
of Hire
Quality of
Hire
Business
Outcome
Example – Metrics in Applicant Tracking
Time to fill Time to hire Source of hire
First-year
attrition
Quality of hire Cost per hire
Application
completion rate
Vacancy rate Fill rate
Applicants per
hire
Qualified
candidates per
hire
Time in workflow
step
Pass-
through/Convers
ion rate
Reach for hire
Yield ratio Source quality
Offer acceptance
rate
Hired to goal
Candidate Net
Promoter Score
- Most of metrics (12 out of 19) are primarily dependent on data generated by ATS
- The other 7 have dependency on Job Boards, HRIS(TM) and Payroll
HR Data Analytics -
Challenges and Solutions
Poll #3 – Challenges
What challenges do you foresee for transforming to a data-driven organization?
(multiple-choice)
a. Lack of a data strategy
b. Legacy systems unfit for data exchange
c. Too many disconnected systems
d. Lack of budget
e. Lack of expertise
Integration Challenges
This is a sample text.
Insert your desired
text here.
Access to data via
APIs
Access to business
and financial data
Access to
Productivity data
Lack of Integration
Strategy
Need for Integration
Strategy
SaaS Integrations
84% of ISVs and Enterprises feel that API integration is
critical or very critical to their business strategy
- 2020 State of API Integration Report by CloudElements
Through 2020, integration work will account
for 50% of the time and cost of building a digital
platform​
- Gartner research on Hybrid Integration Platform
AWS AppFlow was launched for data
exchange between AWS and SaaS apps​
- AWS Press release on April 22, 2020
Fragmented v/s Integrated Systems
Payroll System
Broken Workflow Example
Chances of errors are
high if filter is
incorrect
System allows
only PDF
Using 3rd part tool
or manually
Change format as
per Payroll System
Uploads Report
No real-time data processing
leading to longer wait time and lot of
manual efforts
Access reporting
module
Integrated Workflow Example
Real-time data processing
leading to shorter duration without any manual overhead
Real time
T&A reports
Add missing data
using Payroll
system
Change data format
to make it
compatible with the
payroll system
Meaningful
data
customization
Data Mapping and
Transformation
Custom Connector / Framework / EBS
3 Integration Approaches
Buy
Open Source
Build
Buy
Dell Boomi, MuleSoft…
Open Source Build
 Across Organization
 No Budget Constraints
 Mission Critical
 Realtime Access
 Large Volume
 Premium Support
Integration Approach 1
Buy
Open Source
WSO2, StackStorm…
Build
 Across Departments
 No license fee
 Mission Critical
 Realtime Access
 Mid-Large Volume
 Basic Support (augment with IT team or vendor)
Integration Approach 2
Buy Open Source
Build
Custom solution on
Azure, AWS
 Many In-house Systems
 No license fee
 Mission Critical
 Realtime Access
 Mid to Low Volume
 Internal IT/Vendor Support
Integration Approach 3
Summary
Key Takeaways
• HR needs to have a data-driven approach for
driving better outcomes
• Workplace Analytics Maturity Model
• Scalable integrations strategy is a must for creating
a data driven HR organization
• API-based Integrations
• Integration approach should be based on
complexity and budget
• 'Buy', ‘Open Source', and ‘Build'
Lalit Suhas MaheshkumarSayali Vibhuti Smita PrachiUtkarsh
Strategy Technology UX Design Product Management
Thank You Q&A
Consulting@harbingergroup.com
https://harbinger-systems.com/
Consulting Team (HR + Technology)
Thank You Q&A
Please write to us at Consulting@harbingergroup.com
https://harbinger-systems.com/

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Scalable HR Integrations for Better Data Analytics: Challenges & Solutions

  • 1. Scalable HR Integrations for Better Data Analytics Challenges & Solutions Shrikant Pattathil Vibhuti Agarwal President Senior Consultant
  • 2. Poll #1 – Demographic What’s your current role in your organization? a. CHRO or HR Leader b. HR Manager c. HR Consultant d. HRTech Vendor e. Data, Integration Specialist f. Others
  • 3. • Need for Data-Driven HR and its relevance in organizations • Aspects of Workplace Analytics Maturity Model and how to correlate it with your needs • Understand typical challenges in data integrations and how to solve them • How to decide on an integration approach for your organization By the end of this session, you will learn
  • 4. Why is Data-Driven HR Important?
  • 5. Poll #2 – Use of Analytics Is your organization using HR and employee data while making decisions? a. Yes, we are 100% data driven b. Yes, but only to some extent c. No d. Don’t know
  • 6. • Create a Culture and Strategy around data and data governance • Focus on outcomes as opposed to record keeping Features of a Data Driven Org. Data Strategy Data Culture Data Governance
  • 7. Data Analytics for Front Line Managers • Better HR decision making • Using data to monitor operations • Productivity • Employee Safety, Employee Wellbeing • Recruitment
  • 8. Workplace Analytics Maturity Model Level 1 – Operational Reporting Level 2 – Advanced Reporting Level 3 – Advanced Analytics Level 4 - Predictive Analytics ATS Talent Learning Payroll HRIS Emp. Engagement … n Volume, Time, Cost of Hire Quality of Hire Business Outcome
  • 9. Example – Metrics in Applicant Tracking Time to fill Time to hire Source of hire First-year attrition Quality of hire Cost per hire Application completion rate Vacancy rate Fill rate Applicants per hire Qualified candidates per hire Time in workflow step Pass- through/Convers ion rate Reach for hire Yield ratio Source quality Offer acceptance rate Hired to goal Candidate Net Promoter Score - Most of metrics (12 out of 19) are primarily dependent on data generated by ATS - The other 7 have dependency on Job Boards, HRIS(TM) and Payroll
  • 10. HR Data Analytics - Challenges and Solutions
  • 11. Poll #3 – Challenges What challenges do you foresee for transforming to a data-driven organization? (multiple-choice) a. Lack of a data strategy b. Legacy systems unfit for data exchange c. Too many disconnected systems d. Lack of budget e. Lack of expertise
  • 12. Integration Challenges This is a sample text. Insert your desired text here. Access to data via APIs Access to business and financial data Access to Productivity data Lack of Integration Strategy
  • 14. SaaS Integrations 84% of ISVs and Enterprises feel that API integration is critical or very critical to their business strategy - 2020 State of API Integration Report by CloudElements Through 2020, integration work will account for 50% of the time and cost of building a digital platform​ - Gartner research on Hybrid Integration Platform AWS AppFlow was launched for data exchange between AWS and SaaS apps​ - AWS Press release on April 22, 2020
  • 15. Fragmented v/s Integrated Systems Payroll System
  • 16. Broken Workflow Example Chances of errors are high if filter is incorrect System allows only PDF Using 3rd part tool or manually Change format as per Payroll System Uploads Report No real-time data processing leading to longer wait time and lot of manual efforts Access reporting module
  • 17. Integrated Workflow Example Real-time data processing leading to shorter duration without any manual overhead Real time T&A reports Add missing data using Payroll system Change data format to make it compatible with the payroll system Meaningful data customization Data Mapping and Transformation Custom Connector / Framework / EBS
  • 19. Buy Dell Boomi, MuleSoft… Open Source Build  Across Organization  No Budget Constraints  Mission Critical  Realtime Access  Large Volume  Premium Support Integration Approach 1
  • 20. Buy Open Source WSO2, StackStorm… Build  Across Departments  No license fee  Mission Critical  Realtime Access  Mid-Large Volume  Basic Support (augment with IT team or vendor) Integration Approach 2
  • 21. Buy Open Source Build Custom solution on Azure, AWS  Many In-house Systems  No license fee  Mission Critical  Realtime Access  Mid to Low Volume  Internal IT/Vendor Support Integration Approach 3
  • 23. Key Takeaways • HR needs to have a data-driven approach for driving better outcomes • Workplace Analytics Maturity Model • Scalable integrations strategy is a must for creating a data driven HR organization • API-based Integrations • Integration approach should be based on complexity and budget • 'Buy', ‘Open Source', and ‘Build'
  • 24. Lalit Suhas MaheshkumarSayali Vibhuti Smita PrachiUtkarsh Strategy Technology UX Design Product Management Thank You Q&A Consulting@harbingergroup.com https://harbinger-systems.com/ Consulting Team (HR + Technology)
  • 25. Thank You Q&A Please write to us at Consulting@harbingergroup.com https://harbinger-systems.com/

Hinweis der Redaktion

  1. Align text Need to talk about this Number of data sources Type of data access (import/export, APIs, any other?) Restrictions and access per contracts Partnership roadmap Alternate options, if any Alternate methods used by end customers (manual processes, use of non- standard tools) Need for configurability Feasibility of getting pre-processed data (ERP, CRM, Task Management tools)
  2. v