Intelligent Data capability which simplifies Data consumption of Internal and External data sources
Our Engagement Lifecycle
Ideate
- Identify the problem
- Understand expectations from solution
- Define Solution and value proposition
- Research and Evaluate possible alternates
Co-create
- Design thinking workshops to co-develop
MVPs or Pilots - Feasibility assessment of initiatives
- Incorporate feedbacks and suggestions
- Prioritize the initiatives with highest impact
Scale
- Identify opportunity for scaling the solution
- Evaluate applicability to other business verticals
- Make customizations to the current solution
Enhance
- Learn from the outcomes and Improve current deployments
- Identify other areas of potential improvement
Data Products: Simplify, Integrate and Create reusability
Data products are combined, aggregated, customized and constantly refreshed views of clients, advisors, portfolio, products which are reused for all new AI tech development and deployments
Rapid reduction in Time to launch new
Fast track new applications in the same domain by as much as 50%
Retain knowledge across time & people
Ensure unique nuances of your data are captured and retained even with data providers or employees leaving over time
Save cost
Data products become the common source of information about a domain reducing storage/compute costs and for new capabilities launch
What is the need for a Unified framework of Data Products?
Universe of 1st party, 2nd party and 3rd party data provide a great opportunity to grow revenue, service customers better and to save significant cost. But it often leads to…
Time consuming activity
to deliver new insights every time a new request comes in
High cost of integration of new sources
& changes to underlying data layers
Siloed use of data across different business units :
Banking, Wealth & Commercial
Inconsistent build up of data feeds
on the platform based on ad hoc needs
