Improve return on data science
ensuring alignment of activities with business priorities and agenda, incorporating business inputs
Data Science Blueprint
Setup or uplift your data science capabilities
As a relatively recent domain, data science is less mature compared to the likes of IT and software industries, which have well established practices for development, operations and quality assurance. Most organizations are still finding their feet around management, maintenance and operationalization of data science outputs. This has frequently resulted in data scientists working in isolation, seen as academics and not really contributing to real business problems, with solutions that cannot be incorporated into day to day operations. Such operational defects create significant impact barriers for these valuable and scarce resources in many organizations.
With our Gearshifter “Data Science Blueprint”, we define how data science teams, technologies and processes should be structured and managed to deliver outputs that can continuously create business impact. We help select the best fitting solution for each company, incorporating learnings from blue chip organizations running different models in data science.
“Data Science Blueprint” is a packaged set of workshops and design documents for organization, processes and technology, enabled with an interactive toolkit.
This is a self-paced solution, and it can be completed within just 1 week.
- Planned like Business: Framework for planning and preparations incorporating business inputs and stakeholders
- Delivered like Project: Project management approach following agile methodology and concepts like MVP
- Deployed like Technology: Architecture and methodologies for integrating outputs into business and IT operations effortlessly
- Managed like Product: Roles and processes for proactively owning lifecycle management of deliverables