Databyte Academy

HR Analytics Program

HR Analytics for Business Decisions

HR analytics refers to applying analytic processes to the human resource department of an organization in the hope to improving employee performance and therefore getting much greater insights into the people based aspect of organizations. Analytics can certainly enhance the credibility of the function and the profession by improving the effectiveness of HR policies and practices and contributing to the competitive advantage of organizations that develop it as a core competency. HR analytics does not just gathering data on employee efficiency. Instead, it aims on how to drive organizational changes around human capital activities by linking evidence-based data to business strategy and performance as well as making better decisions on the people side of the business.

The key aspect of HR analytics is to conclusively show the impact the HR department has on the organization as a whole. Establishing a cause-and-effect relationship between what HR does and business outcomes, this allows you to create strategies based on the information gathered. HR analytics shows the correlation business data and people data that can help to establish important connections in future.

Objective of the program

  1. Uncover data-driven insights using analytics skills that aid in strategic decision making & reporting
  2. To raise the level of competency of HR professionals in the use of analytics.
  3. Measuring key parameters throughout the HR function across all metrics
  4. How to drive organizational changes by linking evidence-based data to business strategy and performance.
  5. How to apply HR analytics to a broad spectrum of human capital activities and linking them to workforce analytics
  6. Make HR analytics part of your HR strategy to predict or anticipate the changes.
  7. End to end value proposition of HR Analytics and key stages of HR Analytics project
  8. How to build interactive dashboard for better illustration and engagement with key business metrics
  9. How to use statistical concepts for problem solving and decision making. Also solve various HR and Business challenges using analytics techniques

Who Should attend this course?

HR Directors, HR Managers, CHROs, Senior Management Staff, HR Business Partners and all those HR professionals who want to solve various HR problems by leveraging HR analytics for data driven decision making.

Course Outcome

  1. Distinct source of competitive advantage
  2. Optimize organizational performance & delivery
  3. Faster turnaround time & improved decision making
  4. Empowering managers & functional needs
  5. In-depth insights through metrics that matter using interactive dashboards

Pre-requisites

  • No prior analytics or statistics knowledge is required
  • Basic proficiency in Microsoft Excel would be an advantage

About Course Trainer

Chandra Mouli – Chief Data Scientist

  1. Expert in connecting HR processes to business results through qualitative and quantitative methods.
  2. Highly qualified and experienced industry practitioner with years of global analytical experience having trained 3000+ professionals in leading companies across the globe.
  3. Having strong academic background with a Masters in Statistics with more than 10 years of experience in the field of Big Data Analytics like Marketing Analytics(CSI, CLM & Pricing), Risk Analytics(Credit Risk), Operation Analytics and Digital Analytics with focus on Retail/E-Commerce, Banking, Insurance, Telecom , Travel and Media clients in Asia, Australia, Europe, and United States.
  4. Hands on experience in development of Marketing & CRM Models (Acquisition, LTV Models, Cross Sell & Upsell, Attrition and MROI Models), Pricing Models (price & promo), Credit Risk Models (PD Models for Credit Cards, Consumer Loans and Insurance Portfolios) and statistical models for optimizing operations.
  5. Hands on expertise in Big data and Multivariate analytical techniques including classical & machine learning algorithms like regression (Linear/Logistic), Time Series, Text Mining, instance based, regularization, Decision tree, Bayesian, clustering (K-means/Hierarchical), Association rules (apriori/Eclat), SVM, ANN, Deep learning and ensemble algorithms.
  6. Have used different statistical flat forms like SAS/SAS EM, R/R-Studio, Python, SPSS/SPSS Modeler, Hadoop, Spark, Tableau, Salesforce, Alteryx, Sql/plsql, Excel/VBA.
  7. Areas of expertise include Big Data Analytics, HR Analytics, Business Analytics, Machine Learning, Marketing Analytics, Risk Analytics, Operation Analytics, Digital Analytics, Business Intelligence etc.

I would like to know more

""
1
Nameyour full name
Contact Number
Subject
Messagemore details
0 /
Previous
Next

Databyte Academy Instructors

Learn from practitioners, not from trainers.

SUMEET BANSAL

CEO & Co-Founder of Analytixlabs

Sumeet is a former Business Consultant and worked with prestigious companies like McKinsey & Company, ZS Associates and AbsolutData in the past 7 years. He has worked in more than 10 countries and is an expert in Market Research and Business Analytics. He co-founded AnalytixLabs in 2011, and has taken up the lead role from 2014 onward. He has worked extensively in domains such as Market Research, Brand positioning, Building Go-to-market strategies, Customer Lifecycle Management and Pricing for clients in various sectors like Automotive, Banking, Hi-tech, Pharma and Telecom.


CHANDRA MOULI

Chief Data Scientist

Chandra has got rich experience in the field of Marketing and Risk Analytics, which he has attained during his meticulous tenure with companies like McKinsey & Company, Genpact and erstwhile Citigroup Services. He has 8+ years of experience and has been working in the domain of Analytics since 2006 after completing his education from IIT-Madras. With his analytical rigour he has effectively helped various Banking & Financial Services, Media and Retail clients with Pre & Post campaign management, Credit risk, Attrition modelling, Cross sell and Up sell programs. He was also recently featured in the top 10 data scientists in India by the Analytics India Magazine.


Ankita Gupta

Principal Consultant

Ankita has more than 8 years of experience with McKinsey, where she focused on Market Research and Behavioural Analytics working with global clients in domains like Hi-Tech, Telecom, Banking and Retail. Post McKinsey, she joined Fidelity as Snr Specialist, to lead the NPS analytics effort for their various business apart from looking into possible B2C analytics. Ankita is an expert in quantitative marketing research such as conjoint, attitudinal segmentation, pricing and brand equity along with measuring consumer loyalty. She holds an MBA from ISB, Hyderabad.

Training Dates


3 OCT – 2 NOV 2017

Duration – 3 Days

Certification

Upon successful completion of the program, participants will be conferred with Certificate of Completion.

Delivery Methodology:

Lectures, case studies, sharing of experiences, group discussions, role play, Hands on practices, video clips and interactive exercises

WHY DATABYTE ACADEMY

 

Learn from Practitioners, not trainers – Learn analytics skills that will forever transform the way you work


Data & Analytics, A Business Priority

Learn how analytics can have a significant impact on your business decisions by uncovering the powerful insights from your organization’s hidden data.


Customized Training

We work with you in developing a program that attains your training objectives. Training can also be built to include case studies with your data for practical learning.


Talent Development

Up-skill & reskill your current workforce with our high value added, result oriented training programs.

CLIENTS TESTIMONIAL


“The institute has best infrastructure in terms of study material, faculties, classrooms etc. Student will get chance to work on live projects. You will get excellent training in analytic field. The whole training period is just wonderful.”
Data Scientist, IBM


A great introduction course to attend for anyone who plans to expose himself in Big Data. The course covers how problem solving should be conducted from a consultant perspective (analytical approach). The approach used can help an analyst to tackle the main problem and provide a meaningful analysis and solution to the business / organization. Course was conducted by two well-experienced consultants. Information / knowledge / experience shared and extended to participants are highly valuable. – Human Resource, Learning & Development – LAZADA


“I had a wonderful 5-day journey of analytics problem-solving with the team and it has built a solid foundation for me to continue this journey as I progress in my career.” – Manager, OMRON Electronics Sdn Bhd


“The course is very well structured to start off things from scratch and mentors are very helpful at every phase of learning. The Assignments and Case studies are perfect for understanding real time problems. By the time i completed my course i landed a really nice job. Highly recommended if anybody wants to enter into analytics Industry. Special thanks to the trainers –
Business Analyst, E&Y


“I had enrolled myself for the Business Analytics and SAS course. The learning experience was great as the overall curriculum was well structured, industry knowledge and examples provided by the faculty helped in better understanding the topics, response to queries was always prompt. Even after completion of the course, while working on the eCommerce projects, I at times reach out to them with analytical queries and they are helpful in terms of providing a general direction. Overall, a great place to learn and would certainly recommend their courses.”
Manager, Hewlett-Packard Analytics

“I really appreciate the way of their teaching. They have excellent industry knowledge and work background. And at last I would like to thank all staff for supporting me in my career growth.”

Team Leader, Bank of America

We have trained some of the leading companies across industries…

Login Form

Register Form