• About ReD

    Digitize, Optimize, and Monetize


    Digital & Analytics Transformation Programme at ReNew

    ReD: ReNew Power’s digital transformation programme was formally launched on 18th September at the ReNew.Hub, coinciding with the Innovation Day celebrations. The launch ceremony was held in the presence of 150 ReNewers including those from our sites and ROs. ReD is how we are now set to adopt digitization to take the next big leap, towards a world class organization.

    ReD will help ReNew achieve maximum efficiency in its operations and take better, data driven business decisions, besides equipping the team with fresh skills and capabilities.

    Team ReD will be responsible for delivering simple, intuitive and business oriented solutions to the most complex problems previously un-solvable.

    Uphold new investments and new site commissions with existing resources.

    Drive innovation and utilize the full potential of Renew’s resources to generate the maximum possible generation

  • Objectives of the program


    Make ReNew a World Economic Forum (WEF) renewables lighthouse

    Deliver over INR 350 crore tangible value

    Embed digital and advanced analytics as new way of working.

    Support ReNew to become one of the Top 100 places to work in India.

  • Design principles for the program


    Enterprise-wide transformation, umbrella program for all initiatives

    Out of the box thinking with focus on clear measurable business value

    Cross-functional, joint teams working together in collaborative culture jointly responsible to deliver value.

    Agile way of working which is iterative, across short sprints with frequent feedback loops

    Sustainability through internal (use case development and integration) and external (partner for data or development) capability building

  • capability building needs


    Value linked offering to cover full spectrum of capability building needs

    All employees

    Gain understanding of data and analytics vision and tools in the organization

    Senior Management

    Support multi-functional teams and COE during use case ideation & delivery, roadmap development by understanding data related

    Translators

    Support analytics design decisions, and communicate with multifunctional business teams by understanding core analytics concepts

    Data Scientists

    Develop codes for end to end use cases, based on common algorithms and techniques and strengthen concepts

    Data Engineers

    Understand requirements for data engineering skills during the lifecycle of use cases and support implementation of solutions for data security, quality and automation

  • development interventions


    Apply the full suite of development interventions to integrate reflection and real work

  • Overall program approach