Human capital analytics can drive better decision-making for human capital management. Analytics links employee survey data and other human capital metrics to business outcomes through statistical analysis to identify the key human drivers of performance. A four step process involves asking the right survey questions, statistically analyzing the links between human factors and outcomes, identifying areas for improvement, and creating insightful reports to catalyze change. Companies that effectively use analytics in this way tend to outperform competitors that rely only on intuition for human capital management.
The world is fueled by data, and HR professionals everywhere are wondering how to leverage tons of people data for better insights to enhance individual and organizational performance.
HR analytics entails the use of tools (say, big data, predictive analytics) by HR in their recruiting, compensation, performance measurement, and retention efforts.
Through this presentation, you will get an introduction to HR analytics and how you can make the most of it to drive sweeping strategic success. This presentation will address the following areas of the employer branding:
- Purposeful Analytics
- Basics of Data Analysis
- Understanding the Fundamentals of Analytics Capability
Building
- Establishing an Analytical Unit and the Right Culture
- Levels & Types of HR Metrics
- Linking Metrics to Analytics
- Workforce Analytics Model
For more info:
www.hackerearth.com/recruit
The New Model for Talent Management: Agenda for 2015Josh Bersin
Corporate talent management has matured over the last ten years. In the light of today's new world of work, the globalization of the workforce, and the power of Millennials, it's time to rethink the model. Talent Management today is not just integration of HR - its a new set of 9 imperatives every company must address.
HR / Talent Analytics orientation given as a guest lecture at Management Institute for Leadership and Excellence (MILE), Pune. This presentation covers aspects like:
1. Core concepts, terminologies & buzzwords
- Business Intelligence, Analytics
- Big Data, Cloud, SaaS
2. Analytics
- Types, Domains, Tools…
3. HR Analytics
- Why? What is measured?
- How? Predictive possibilities…
4. Case studies
5. HR Analytics org structure & delivery model
The world is fueled by data, and HR professionals everywhere are wondering how to leverage tons of people data for better insights to enhance individual and organizational performance.
HR analytics entails the use of tools (say, big data, predictive analytics) by HR in their recruiting, compensation, performance measurement, and retention efforts.
Through this presentation, you will get an introduction to HR analytics and how you can make the most of it to drive sweeping strategic success. This presentation will address the following areas of the employer branding:
- Purposeful Analytics
- Basics of Data Analysis
- Understanding the Fundamentals of Analytics Capability
Building
- Establishing an Analytical Unit and the Right Culture
- Levels & Types of HR Metrics
- Linking Metrics to Analytics
- Workforce Analytics Model
For more info:
www.hackerearth.com/recruit
The New Model for Talent Management: Agenda for 2015Josh Bersin
Corporate talent management has matured over the last ten years. In the light of today's new world of work, the globalization of the workforce, and the power of Millennials, it's time to rethink the model. Talent Management today is not just integration of HR - its a new set of 9 imperatives every company must address.
HR / Talent Analytics orientation given as a guest lecture at Management Institute for Leadership and Excellence (MILE), Pune. This presentation covers aspects like:
1. Core concepts, terminologies & buzzwords
- Business Intelligence, Analytics
- Big Data, Cloud, SaaS
2. Analytics
- Types, Domains, Tools…
3. HR Analytics
- Why? What is measured?
- How? Predictive possibilities…
4. Case studies
5. HR Analytics org structure & delivery model
The Transformation of Talent Management presentation takes an in depth look at the challenges facing the HR community as professionals attempt to navigate the changing Talent Management landscape. The piece is full of insights and thought leadership. The data was gathered as part of a survey conducted by the HR Exchange Network on the topic.
Inspirational approaches to HR data to drive better management and decision-making. On Friday 23 September 2016 we hosted a morning seminar for senior HR managers and executives on how to create business impact through HR & People analytics.
"If there is one thing I have learned from working on Machine Learning problems in the People/HR space, it is this: define and structure your problem up front!"
Keith McNulty
This presentation highlights the required steps for HR Departments to transition themselves into a formidable HR Analytics Team. It will show how to apply HR Analytics to a departmental case as well as the required skill sets for your HR Team to acquire in order to become savvy analytics professionals. #hranalytics #humanresources
Way before anyone began using the term BIG to describe data, Human Resources professionals had been using HR Metrics. So why is Big Data such a Big Deal? In this session, we will discuss HR Metrics, Big Data and HR Analytics.
We’ll uncover the real reasons you really need HR Analytics and dissect a few myths that could be holding you back from making the shift. We will then take a tactical approach diving into some practical tips and best practices on how you can get your organization up and running with HR analytics.
A storytelling session, exemplified through data, will cover everything from a talent strategy overhaul, to implementing emerging technologies, and how to tenaciously keep shaking things up - even when things don't go as planned.
Practical tips to start using predictive HR analytics in your organization.
Creating a distinction between HR Metrics, Big Data and Analytics.
Big Data progression and how this can affect your department.
The HR Business Partner is the most critical role in the modern HR Model. The HRBP is the employee, who acts as the single point of the contact for internal clients. However, the HRPB is not a pure sales person. The HRBP influences the work of Human Resources, participates in setting HR Goals and Objectives, leads difficult projects and collaborates with HR Centers of Excellence.
The role is critical, but many companies fail in choosing right employees for the position. The HR Business Partner has to be highly skilled and has to understand to all HR processes to sell them the right way.
The HR business partner is the most critical, yet frequently ignored role in the move to HR shared services. Much attention is given to new roles created by a shared services model while little attention is given to how the business partner role must change with the new model. This is the third session of a HR Shared Services learning series that ScottMadden is presenting in conjunction with Shared Services & Outsourcing Network (SSON). In this session, we discuss the important evolution of the business partner role and the skills and competencies needed to effectively support the business.
People Analytics: State of the Market - Top Ten ListJosh Bersin
What are the "Top Ten" trends in People Analytics? This presentation reviews the research and discusses how you should prepare for this exciting and fast growing but emerging market.
Unlocking people data possibilities can shape your
strategy and help you make more informed decisions in your organization. Gut feel is good but data-driven is better.
Insights success august 2016 the 50 fastest growing consultant companiesMerry D'souza
Insights Success is a platform that focuses distinctively on emerging as well as leading IT companies, their confrontational style of doing business and way of delivering effective and collaborative solutions to strengthen market share.Our magazine talks about leaders and orators from the world of technology, which includes CEO’s, CIO’s, VP’s, Managers and other professionals who had set a benchmark in the revolution of IT industry.
The Transformation of Talent Management presentation takes an in depth look at the challenges facing the HR community as professionals attempt to navigate the changing Talent Management landscape. The piece is full of insights and thought leadership. The data was gathered as part of a survey conducted by the HR Exchange Network on the topic.
Inspirational approaches to HR data to drive better management and decision-making. On Friday 23 September 2016 we hosted a morning seminar for senior HR managers and executives on how to create business impact through HR & People analytics.
"If there is one thing I have learned from working on Machine Learning problems in the People/HR space, it is this: define and structure your problem up front!"
Keith McNulty
This presentation highlights the required steps for HR Departments to transition themselves into a formidable HR Analytics Team. It will show how to apply HR Analytics to a departmental case as well as the required skill sets for your HR Team to acquire in order to become savvy analytics professionals. #hranalytics #humanresources
Way before anyone began using the term BIG to describe data, Human Resources professionals had been using HR Metrics. So why is Big Data such a Big Deal? In this session, we will discuss HR Metrics, Big Data and HR Analytics.
We’ll uncover the real reasons you really need HR Analytics and dissect a few myths that could be holding you back from making the shift. We will then take a tactical approach diving into some practical tips and best practices on how you can get your organization up and running with HR analytics.
A storytelling session, exemplified through data, will cover everything from a talent strategy overhaul, to implementing emerging technologies, and how to tenaciously keep shaking things up - even when things don't go as planned.
Practical tips to start using predictive HR analytics in your organization.
Creating a distinction between HR Metrics, Big Data and Analytics.
Big Data progression and how this can affect your department.
The HR Business Partner is the most critical role in the modern HR Model. The HRBP is the employee, who acts as the single point of the contact for internal clients. However, the HRPB is not a pure sales person. The HRBP influences the work of Human Resources, participates in setting HR Goals and Objectives, leads difficult projects and collaborates with HR Centers of Excellence.
The role is critical, but many companies fail in choosing right employees for the position. The HR Business Partner has to be highly skilled and has to understand to all HR processes to sell them the right way.
The HR business partner is the most critical, yet frequently ignored role in the move to HR shared services. Much attention is given to new roles created by a shared services model while little attention is given to how the business partner role must change with the new model. This is the third session of a HR Shared Services learning series that ScottMadden is presenting in conjunction with Shared Services & Outsourcing Network (SSON). In this session, we discuss the important evolution of the business partner role and the skills and competencies needed to effectively support the business.
People Analytics: State of the Market - Top Ten ListJosh Bersin
What are the "Top Ten" trends in People Analytics? This presentation reviews the research and discusses how you should prepare for this exciting and fast growing but emerging market.
Unlocking people data possibilities can shape your
strategy and help you make more informed decisions in your organization. Gut feel is good but data-driven is better.
Insights success august 2016 the 50 fastest growing consultant companiesMerry D'souza
Insights Success is a platform that focuses distinctively on emerging as well as leading IT companies, their confrontational style of doing business and way of delivering effective and collaborative solutions to strengthen market share.Our magazine talks about leaders and orators from the world of technology, which includes CEO’s, CIO’s, VP’s, Managers and other professionals who had set a benchmark in the revolution of IT industry.
Marketing & SalesBig Data, Analytics, and the Future of .docxalfredacavx97
Marketing & Sales
Big Data, Analytics,
and the Future of
Marketing & Sales
March 2015
3McKinseyonMarketingandSales.com @McK_MktgSales
Table of contents
Business
Opportunities
Insight and
action
How to get
organized and
get started
8 Getting big impact from big
data
16 Big Data & advanced
analytics: Success stories
from the front lines
20 Use Big Data to find
new micromarkets
24 Smart analytics: How
marketing drives short-term
and long-term growth
30 Putting Big Data and
advanced analytics to work
34 Know your customers
wherever they are
38 Using marketing analytics to
drive superior growth
48 How leading retailers turn
insights into profits
56 Five steps to squeeze more
ROI from your marketing
60 Using Big Data to make
better pricing decisions
60 Marketing’s age of relevance 72 Gilt Groupe: Using Big Data,
mobile, and social media to
reinvent shopping
76 Under the retail microscope:
Seeing your customers for
the first time
80 Name your price: The power
of Big Data and analytics
84 Getting beyond the buzz: Is
your social media working?
90 How to get the most from big
data
94 Five Roles You Need on Your
Big Data Team
98 Want big data sales programs
to work? Get emotional
102 Get started with Big Data:
Tie strategy to performance
106 What you need to make Big
Data work: The pencil
110 Need for speed: Algorithmic
marketing and customer
data overload
114 Simplify Big Data – or it’ll be
useless for sales
54 McKinseyonMarketingandSales.com @McK_MktgSales
Introduction
Big Data is the biggest hame-changing opportunity for marketing and sales
since the Internet went mainstream almost 20 years ago. The data big bang
has unleashed torrents of terabytes about everything from customer behaviors
to weather patterns to demographic consumer shifts in emerging markets.
The companies who are successful in turning data into above-market growth
will excel at three things:
ƒ Using analytics to identify valuable business opportunities from the data to
drive decisions and improve marketing return on investment (MROI)
ƒ Turning those insights into well-designed products and offers that delight
customers
ƒ Delivering those products and offers effectively to the marketplace.
This goldmine of data represents a pivot-point moment for marketing and
sales leaders. Companies that inject big data and analytics into their operation
show productivity rates and profitability that are 5 percent to 6 percent hight
than those of their peers. That’s an advantage no company can afford to
gnome.
This compendium explores the business opportunities, company examples,
and organizational implications of Big Data and advanced analytics. We hope
it provokes good and useful conversations.
Please contact us with your reactions and thoughts.
David Court
Director
David headed McKinsey’s
functional practices, and
currently leads the firm’s digital
in.
The Softer Skills Analysts need to make an impactPaul Laughlin
25 min presentation given at London Business School, to the OR Society's Analytics Network. Summarising Laughlin Consultancy's 9 step model of Softer Skills for Analysts.
Teaching organizations to fish in a data-rich future: Stories from data leadersAmanda Sirianni
Many organizations are still early in their journey to set up and optimize their analytics function and related capabilities. However, those that are investing in highly skilled data leaders are seeing the business benefits. To learn more, the IBM Center for Applied Insights spoke with some of these leaders.
Through their stories, we discovered the analytics challenges that businesses face across industries and sectors, and how today’s data leaders confront and eventually overcome those challenges. See how these leaders were able to deliver outcomes that far outweighed their early struggles. To learn more: www.ibm.com/ibmcai/cdostudy
A session at the CBS Competitiveness Day 2015 - Human Capital Analytics Group has conducted a study on the use of employee engagement surveys in Danish companies. We interviewed representatives from the large Danish companies and major survey providers, and conducted a quantitative research on the use of employee engagement surveys in Denmark. This resulted in a Trend Spotting Report “Employee Engagement Surveys in Denmark”.
Business Analytics is a group of automated data procuring tools and services. It consists of applied and predictive analytics, statistics, data mining, and so on.
To know more details, visit us at : https://mitidinnovation.com/recreation/what-is-business-analytics/
A review of the Data as a Service Business Model.
Whitepaper available from Innovate Vancouver
Travis Barker, MPA GCPM
Consulting@innovatevancouver.org
Structure Your Data Science Teams For Best OutcomesGramener
Gramener's Head of Analytics, Ganes Kesari conducted this webinar and discussed the following points :
-Why do data analytics and visualization initiatives require teams to work in silos?
-What are the best organizational structures for data science?
-As your data journey progresses, how should the organizational structure evolve?
-Best methods for encouraging team collaboration in data projects
This is a unique webinar designed for Executives, Chief Analytics Officers, Heads of Analytics, Directors, Technology Leaders, and Managers that work with data science teams on a daily basis.
To check out the full webinar visit: https://info.gramener.com/data-science-teams-structure-for-best-outcomes
To contact us & book a free demo visit: https://gramener.com/demorequest/
Insights Success is the Best Business Magazine in the world for enterprises, being a platform it focuses distinctively on emerging as well as leading fastest growing companies, their confrontational style of doing business and way of delivering effective and collaborative solutions to strengthen market share. Here, we talks about leader’s viewpoints & ideas, latest products/services, etc. Insights Success magazine reaches out to all the ‘C’ Level professional, VPs, Consultants, VCs, Managers, and HRs of various industries.
LDM Slides: Conceptual Data Models - How to Get the Attention of Business Use...DATAVERSITY
Achieving a ‘single version of the truth’ is critical to any MDM, DW, or data integration initiative. But have you ever tried to get people to agree on a single definition of “customer”? Or to get Sales, Marketing, and IT to agree on a target audience?
This webinar will discuss how a conceptual data model can be used as a powerful communication tool for data-intensive initiatives. It will cover how to build a high-level data model, how the core concepts in a data model can have significant business impact on an organization, and will provide some easy-to-use templates and guidelines for a step-by-step approach to implementing a conceptual data model in your organization.
Contact Innovate Vancouver to help on your next project!
Travis Barker, MPA GCPM
Consulting@innovatevancouver.org
http://innovatevancouver.org
DaaS Interactive Planning Tool:
https://innovatevancouver.org/2017/09/06/data-as-a-service-daas-business-models/
The Datafication of HR: Building your Business Case for Workforce Analytics a...Human Capital Media
How can you build a business case to get your workforce analytics initiative funded this year, not this decade? And why should you care?
It is commonly understood that companies with workforce analytics capabilities outperform their peers in quality of hire, retention and leadership capabilities. Yet, recent research by Harvard Business Review has found a large gap between what companies expect from human resources — data-driven insight and action —and the capabilities that are necessary to deliver it.
In fact, Deloitte University Press’ Global Human Capital Trends report found that although 75 percent of companies believe workforce analytics is important, only 8 percent believe their company is “strong” in this area — almost the same results as their 2014 survey.
HR expert Josh Bersin has coined the term “stuck in neutral” to describe HR’s slow adoption of workforce analytics. Why is this? Why does it matter? And what can you do to accelerate your movement toward data-driven HR?
In this webinar, analytics expert Dave Weisbeck will discuss:
The drivers behind the datafication of HR.
How to build a business case for workforce analytics.
Examples of workforce analytics at work.
15. A more innovative version of Step #1
McBassi Good Company Assessment
Good
Employer
Good
Seller
Good
Steward
Business
Results
Includes all elements of
MPI, plus additional
measures of “Good
Company”
- Diagnostics
- Outcomes
15
16. Step #2 - Statistical linkage analysis
Depending on specifics of data, there are three primary
statistical methods for linking people factors and business
outcomes:
1. Multivariate analysis
2. Correlations
3. Comparison of means/t-tests
Analytics is the “missing link” that enables you to identify the top
human drivers of your business results.
16
18. Two major types of business intelligence
analysis
1. Creating insightful reports from your employee survey
– Conduct statistical linkage analysis based on outcomes collected in the survey
itself
• Engagement (including intent to stay, willingness to refer a friend)
• Support for customer service
• Etc.
2. Ongoing (post-survey) analysis of the drivers of business
results
– Make decisions now that will ultimately make possible statistical linkage analysis
based on “hard” outcomes (collected outside the survey), even if that’s not part
of the first round
• Turnover
• Sales
• Cost containment
• Customer satisfaction
• Etc.
18
19. Step #3 - Identifying areas of opportunity
Top
Drivers
Areas of
Weakness
Top Areas of
Opportunity
This step systematically combines information about the
top drivers of business results with measures of relative weakness.
19
21. Step #4 - Insightful reporting
Highly visual, easy-to-understand reports serve as a
catalyst for change
One of the most important lessons we’ve learned: less is more
when it comes to reporting and recommendations – tell
what’s important, not everything you know
• Avoid “data dumps”
• Focus on simple reporting that makes it easy for busy managers
and leaders to know what actions to take.
21