If you want your team, organization, or career to grow, you can no longer make decisions based solely on credit or experience - you must ensure that data is in the driver's seat when it comes to future planning.
Using behavioral data to acquire and manage organizations has fundamentally altered how businesses operate.
Through discussion and hands-on activities with real-world data and devices, this course will provide delegates with a foundation in people analytics.
People management
How behavioral economics can reinvent HR
Data-driven people management for developing performance
How much does the managing team interact with engineering?
Is a manager wasting time with their team?
How often should a salesman talk to customers?
The reason we can’t answer these issues is a lack of data.
Surveys and consultants are helpful, but their shortcomings are evident. They’re inactive, subjective, and don’t measure what happens in the real world.
Utilizing real-world data to judge what is occurring
Knowing what behavioral data you now have and how to do it
Acquiring basic people investigation techniques for HR dynamics
HR data-driven for bodies management and competency estimation
How behavioral economics can reinvent HR and create savings
Data-driven people management for enhancing performance
This course will use a variety of proven adult training methods to assure maximum knowledge, comprehension, and retention of the information displayed.
Interactive case studies individually planned for the representatives
Videos
Analysis and evaluation of the latest methods
Hands-on, functional exercises assuming actual project scenarios
Pre - & Post-Course Assessments
Managers who have learned to lead, manage, and plan to utilize data-driven techniques will have new and better ways of presenting their key leadership functions. They will offer improved decision-making, innovation, adaptability, and confidence. They are better prepared to stand back from the everyday part and focus on real-world organizational needs, secure in the understanding that their actions and choices are based on sound data.
Shareholders will be exposed to a range of different ways of leadership and management training utilizing data and the latest thinking.
This will enable them to improve their business skills and knowledge in challenging situations.
The chance to experiment with new management methods before implementing them in the workplace will help raise the confidence to move beyond established assumptions about the ‘right’ way to manage and lead.
This course is ideal for directors, superior managers, officials, and business managers in all commerce who have (or want to have) responsibility for developing organizational performance.
Those who want to improve their knowledge of leadership, management, and communication
Those who are viewing for business gains and advantages from managing their teams more efficiently
Leaders and managers qualified for working through others to accomplish company objects
Competency Acquisition Analytics
Capacity Analytics to Measure the Efficiency
Employee Churn Analytics
Corporate Culture Analytics
Recruitment Channel Analytics
Leadership and Management Performance Analytics
Employee Performance and Productivity Analytics
Use the Principles of Behavioral Economics for HR Planning
Change the Context in Which You Present Choices to Employees
Develop Messaging that Influences Patterns of Performance
Build Messaging that Nudges People to Perform Better
Understand the Power of the Default Option
Understand How ‘Mental Accounting’ Affects Decision Making
Understanding Competency Frameworks
Basic Principles of Data-based Competency Measurement
Developing a Competency Framework
The Practical Use of Competencies and Real-data SWOT
Understanding How Data can be used in Performance Management
Implementing a Successful Data-based Appraisal Scheme
Moving from HBR Cases to A/B Testing: Case Studies and Examples
Core Tool: Social Network Analysis
Group Exercise: Rewire the Team and Organization by Using Data
Building a People Analytics Team
Analysis of Data - Discussion
Discussion: Implementing Your Finding
Causes of Poor Decision-making Due to Bad or Insufficient Data
Building a Data Model that will Improve Your and Others Decision Making
Practical Application Exercise and Case-studies Based on Participants Own Examples
Critical Thinking Approaches using Probing and Analytical Thinking
Overview of Proven Decision-making and Problem-solving Tools
