Bridging the Gap to Data-Driven Decision-Making

Transcription

1 Bridging the Gap to Data-Driven Decision-Making Karen O Leonard Vice President, Analytics & Benchmarking Bersin by Deloitte Deloitte Consulting LLP Josh Janjua Delivery Consultant, Analytics & Benchmarking Bersin by Deloitte Deloitte Consulting LLP

2 Topics for Discussion What is the state of analytics within HR today? What can HR organizations do to improve their analytics capabilities? What skills do HR organizations need to build an effective analytics function? How should HR structure its talent analytics function? How can HR find or develop the skills it needs? 1 Bridging the Gap to Data-Driv en Decision-Making

3 What is the state of analytics within HR today?

4 The Hype 3 Bridging the Gap to Data-Driv en Decision-Making

5 The Reality Which functions have strong analytics capabilities? Source: High-Impact Talent Analytics, Bersin by Deloitte, Bridging the Gap to Data-Driv en Decision-Making

6 B e r s i n b y D e l o i t t e Talent Analytics Maturity Model Level 4 Predictive Analytics Development of Predictive Models Scenario Planning Integration with Business & Workforce Planning Data Governance Model Level 3 Advanced Analytics Statistical Analysis to Solve Business Problems Identification of Issues & Actionable Solutions Centralized Staffing & Integrated Data Level 2 Advanced Reporting Proactive Reporting for Decision-Making Analysis of Trends & Benchmarks Customizable, Self-Service Dashboards Level 1 Operational Reporting Reactive Reporting of Operational & Compliance Measures Focus on Data Accuracy, Consistency, Timeliness Source: Bersin by Deloitte, Bridging the Gap to Data-Driv en Decision-Making

7 B e r s i n b y D e l o i t t e Talent Analytics Maturity Model Level 4 Predictive Analytics Development of Predictive Models Scenario Planning Integration with Business & Workforce Planning Data Governance Model 4% Level 3 Advanced Analytics Statistical Analysis to Solve Business Problems Identification of Issues & Actionable Solutions Centralized Staffing & Integrated Data 10% Level 2 Advanced Reporting Proactive Reporting for Decision-Making Analysis of Trends & Benchmarks Customizable, Self-Service Dashboards 30% Level 1 Operational Reporting Reactive Reporting of Operational & Compliance Measures Focus on Data Accuracy, Consistency, Timeliness 56% Source: Bersin by Deloitte, Bridging the Gap to Data-Driv en Decision-Making

8 What can HR organizations do to improve their analytics capabilities?

9 Quality z 8 Bridging the Gap to Data-Driv en Decision-Making

10 Quality Dashboards z 9 Bridging the Gap to Data-Driv en Decision-Making

11 Quality Dashboards Team z 10 Bridging the Gap to Data-Driv en Decision-Making

12 Quality Dashboards Team Data Culture z 11 Bridging the Gap to Data-Driv en Decision-Making

13 Quality Dashboards Team Data Culture IT Support z 12 Bridging the Gap to Data-Driv en Decision-Making

14 What skills does HR need to build an effective analytics function?

15 The Superhuman Data Scientist Consulting Knows HR Statistical modeling Knows the business IT /Database / Programming Can Tell the Story Data Visualization Primary Research Source: Bersin by Deloitte, 2014

16 Diversity of Skills Consulting Knows HR Statistical modeling Knows the business World Class Analytics Team Database IT/ Database/ Programming Can Tell the Story Primary Research Data Visualization Source: Bersin by Deloitte, Bridging the Gap to Data-Driv en Decision-Making

17 World Class Analytics Team Database 16 Bridging the Gap to Data-Driv en Decision-Making

18 Most Important Skill: Consulting Consulting Knows HR Statistical modeling Knows the business World Class Analytics Team IT/Database/ Programming Database Can Tell the Story Primary Research Data Visualization Source: Bersin by Deloitte, Bridging the Gap to Data-Driv en Decision-Making

19 Align Consultants with Business Units Consulting Knows HR Statistical modeling Knows the business World Class Analytics Team IT/Database/ Programming Database Can Tell the Story Primary Research Data Visualization Source: Bersin by Deloitte, Bridging the Gap to Data-Driv en Decision-Making

20 World Class Analytics Team Database 19 Bridging the Gap to Data-Driv en Decision-Making

21 Biggest Skills Gap: Telling the Story Consulting Knows HR Statistical modeling Knows the business World Class Analytics Team IT/Database/ Programming Database Can Tell the Story Primary Research Data Visualization Source: Bersin by Deloitte, Bridging the Gap to Data-Driv en Decision-Making

22 Biggest Skills Gap: Data Visualization Consulting Knows HR Statistical modeling Knows the business World Class Analytics Team IT/Database/ Programming Database Can Tell the Story Primary Research Data Visualization Source: Bersin by Deloitte, Bridging the Gap to Data-Driv en Decision-Making

23 Knowledge of Talent Issues Consulting Knows HR Statistical modeling Knows the business World Class Analytics Team IT/Database/ Programming Database Can Tell the Story Primary Research Data Visualization Source: Bersin by Deloitte, Bridging the Gap to Data-Driv en Decision-Making

24 Technical Skills Consulting Knows HR Statistical modeling Knows the business World Class Analytics Team IT/Database/ Programming Database Can Tell the Story Data Visualization Primary Research Source: Bersin by Deloitte, Bridging the Gap to Data-Driv en Decision-Making

25 How should HR structure its talent analytics function?

26 Structuring the Analytics Team Reporting is Separate from Analytics IT, Systems, and Database Skills Mix of Skill Sets and Backgrounds Consulting Staff Aligned with Business Units 25 Bridging the Gap to Data-Driv en Decision-Making

27 Mature Analytics Teams are Centralized Talent Acquisition Learning & Development Workforce Planning Leadership Development Compensation Analytics Employee Engagement Succession Planning Talent Management Performance Management Source: Bersin by Deloitte, Bridging the Gap to Data-Driv en Decision-Making

28 The Interconnected Talent Analytics Team Source: Bersin by Deloitte, 2014

29 Example: Time Allocations for Staff Source: Large Financial Services Institution, Bridging the Gap to Data-Driv en Decision-Making

30 How can HR find or develop the skills it needs?

31 Organizations Need Analytics Talent 33% 31% Hired or transferred staff for analytics Source: High-Impact Talent Analytics, Bersin by Deloitte, Bridging the Gap to Data-Driv en Decision-Making

32 Combatting the Big Data Skills Shortage - Forbes, January 2013

33 Bridging the Skills Gap Profile employee skills Develop internal staff Create career paths Hire for diversity Establish partnerships 32 Bridging the Gap to Data-Driv en Decision-Making

34 Wrap Up

35 Our Resources Available to Bersin by Deloitte members For more information about our WhatWorks Membership, contact us at 34 Bridging the Gap to Data-Driv en Decision-Making

36 Join our Benchmarking Collective exchange.bersin.com Participate in research studies to earn rewards Rewards include research reports, books, gift cards, and more.. Sign up and receive our Frameworks and Maturity Models e-book 35 Bridging the Gap to Data-Driv en Decision-Making

37 Thank You! Karen O Leonard Vice President, Benchmarking & Analytics Research Bersin by Deloitte Deloitte Consulting LLP koleonard@deloitte.com LinkedIn: KarenOLeonard Josh Janjua Delivery Consultant Bersin by Deloitte Deloitte Consulting LLP jojanjua@deloitte.com

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