THE 3 THINGS WE DO
Tatras partners with you on your Data Science journey. We provide “cradle to grave”
services ranging from the Need Assessment Stage to the Final Implementation Stage
OUR APPROACH
We believe in becoming your true partners.
Our teams always start by understanding your business needs and challenges.
And provide expertise taking into consideration both technology and people, resulting in seamlessly integrated solutions.
| Data Science Strategy Plan | Data Science IP & Solutions | Data Science Mentoring & Development |
|
|---|---|---|---|
| Discover | Evaluate corporate & functional readiness and undertake competitive analysis to identify data science possibilities. Audit existing data & technology platforms available and identify gaps | Understand business needs and scope of Data Science project. Map, catalog and assess data quality. | Assess current state of data science resources. |
| Design | Define end state vision and create strategic roadmap for data science technologies and applications, including big data architecture needs. | Assess ML project feasibility & Migrate data per roadmap. | Create resourcing policy and re-skilling roadmap. Hands-on mentoring of the team on live projects. |
| Develop | Evaluate Big Data infrastructure platforms Develop data migration roadmap, collect data for future data science projects. | Develop proof-of-concept (prototype) models & algorithms on sample data. Test & retest. |
|
| Deploy | Project Planning | Deploy scaled up ML models integrated with client technology infrastructure. Train managers & end users on AI tools and outcome validation | Train staff on development and deployment requirements |
Discover
Evaluate corporate & functional readiness and undertake competitive analysis to identify data science possibilities.
Audit existing data & technology platforms available and identify gaps.
Design
Define end state vision and create strategic roadmap for data science technologies and applications, including big data architecture needs.
Develop
Evaluate Big Data infrastructure platforms
Develop data migration roadmap, collect data for future data science projects.
Deploy
Project Planning
Discover
Understand business needs and scope of Data Science project. Map, catalog and assess data quality.
Design
Assess ML project feasibility & Migrate data per roadmap.
Develop
Develop proof-of-concept (prototype) models & algorithms on sample data. Test & retest.
Deploy
Deploy scaled up ML models integrated with client technology infrastructure.
Train managers & end users on AI tools and outcome validation
Discover
Assess current state of data science resources.
Design & Develop
Create resourcing policy and re-skilling roadmap.
Hands-on mentoring of the team on live projects.
Deploy
Train staff on development and deployment requirements