Predictive Delivery Using a Data-Driven Early Warning System
45 mins Session
Delivery leaders are always seeking ways to mitigate risks to ensure timely delivery of high-quality software. However, enterprises struggle to proactively assess risks and plan actions in order to maintain the schedule, scope, and quality of deliveries.
Ashwani Nandini, Vice President – Global Digital Assurance at GlobalLogic, championed predictive delivery by using a data-driven early warning system to assess risks, plan actions and eliminate gut-based inefficiencies.
Join GlobalLogic and Klera for a live webinar to learn:
- How to apply analytics to transform software delivery, by identifying and eliminating risks using an early warning system
- What type of rigor is required and actions to plan to ensure on-time delivery, while meeting scope and quality commitments
- What key metrics to track as measures of predictability
- How to get buy-in to normalize processes across teams and projects, and drive the cultural shift
Vice President, Global Delivery Assurance
Over two decades of experience in delivery leadership roles in the product engineering services space, and digital transformation engagements across industries. Responsible for predictable delivery @ scale, instilling engineering rigor and discipline, and ensuring partner delight from engagement inception to closure.
Designed and implemented several award-winning frameworks such as predictable measurement framework for agile, white box audit to check requirements quality, design and architecture constructs, process implementation and tools usage, and an early warning system to present anomalies in delivery parameters.
Vice President, Global Sales
With extensive experience in the analytics and business intelligence domain, Bhavin has been helping leading global enterprises and government agencies transform the way they work for 20 years. In his current role he is responsible for all business aspects at Klera since its inception.