Leadership through Analytics and Decision Sciences
New leadership to forge the
The present has seen it get increasingly difficult to model the future based on the past. This will fuel the emergence of a new breed of trailblazing leaders.
A hyper-curious, entrepreneur's mind with the willingness to experiment and take risks would belong here.
This breed will be characterised by its ability to lead from early on, engage people and network at scale. It will comprise of leaders who bet likewise on other young leaders.
Willingness to Experiment
Networking at Scale
An organization culture that
A sea-change in customer behaviours and business problems requires new leaders to nurture in an ecosystem of people, processes, and platforms so that they embrace and thrive on change:
Such an organization creates a culture where risk-taking is coupled with learning from failures by functioning via the OODA
It has a flat-hierarchy and sparks emergent leaders into action. What such an organization doesn't do is rely solely on experience and expertise, but nurtures young minds while operating like a network of teams.
MODES OF LEARNING
Change-makers will need to be in a state of constant learn-unlearn-relearn, whilst investing in new methods of learning. To accelerate and enhance retention, next-gen learning would have to be:
Focused on EXPERIENTIAL LEARNING rather than just classroom learning
Able to simulate and facilitate REAL-WORLD EXPERIENCES
In the context of SOLVING FOR A PROBLEM SPACE END TO END
CONTINUOUS, such that it becomes a mindset and a way of life
About evolution of MINDSET of students along with SKILLSET and TOOLSET
Exploring novel approaches to
The landscape of known information, data, customers and best practices is changing faster than companies can keep with, implying that companies will invest leaders armed with new problem-solving capabilities.
Create capability and framework to solve any problem as opposed to chasing specific solutions
Apply a first-principle approach to breaking down problems
Use a cross-industry and cross-functional lens to problem-solving
Combine Business, Math, Technology, Design Thinking and Behavioral Sciences
Create innovation through rapid and repetitive experimentation
Growing talent pool of
DATA DRIVEN DECISION MAKERS
With old traditional jobs based on heuristics and convention becoming obsolete and being replaced by data driven decision sciences, analytics no longer remains a specialized function
The burst and subsequent democratization of analytics world-wide has led to data science becoming central to business roles across industries rather
There is an expected shortage of ~100,000 data scientists in the US alone by 2020 while the spending on big data and analytics will hit $187 billion globally by 2019
Prof. Madhu Talks About
TAPMI's Vision and Mission
Dhiraj Rajaram Talks About
Mu Sigma at the leading edgeof Innovation
Innovation at Mu Sigma is a melting pot of ideas, a slow brew that brings to life the very best of those ideas. We conceptualize and take bets on our designs in a quest to reduce the cost of experimentation, cut time taken to baseline, and upskill our customers. We like to remain close to our clients’ businesses and our ecosystem emulates the real world in the context of their business problems. Our focus is not just on solutions of today, but also on being future ready by sensing the imminent needs of the industry and preparing to stay on top of our game.