Data Science Solutions
Why do we exist?
Deployment of data science solutions is more than just scheduling a script to run. Too often models are deployed without ensuring robustness to real life data or that factors that play in adopting the results into decision making processes.
The lack of longevity (robustness) and lack of understanding the limitations of the predictions lead to distrust. These are but some of the reasons companies too often don’t see the benefits of data science models for months if at all.
We are here to help our clients not fall into the same pitfalls and ensure that data science models are of quality, ready for deployment and improve the adoption in decision making processes.
What we offer
At Deployed Analytics we provide data science advisory services in three main areas:
Independent Peer Review
Data Science Governance Framework
Model Deployment Readiness
Independent Peer Review
- Peer review of data science solutions from a fit-for-purpose viewpoint rather than an academical one.
- Assessment of various (data science) software products available on the market based on the client’s needs.
- Peer review of results presented in proof of concepts and proof of capability.
- Independant advise selecting analytics software vendors.
- Review and assess data science capability (skill, competencies, tools and processes).
Data Science Governance Framework
- Design and deploy fit-for-purpose project toll gate process to ensure consistent and high quality data science solutions delivered internally or by third party vendors.
- Provide minimum requirements for quality assurance and reproducibility purposes.
Model Deployment Readiness
- Design and deploy deployment requirements and approvals workflows for deployed solutions.
- We perform quality assurance and code reviews of the proposed solutions to ensure production-grade, robust solutions are deployed.
- Provide advice on performance monitoring and support and maintenance workflows of deployed solutions.
Need More Information?
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