Serene DataOps

Rapidly develop Data Science teams to build data driven business processes

Team Member Experience

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Enterprise Scale Solutions

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Locations Deployed

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Data Driven Process Savings

PAINPOINTS BY OUR CUSTOMERS

Process savings require more than a good model!

Often time customers face challenges when converting a great proof of concept AI model into a data driven process. Deployment phases are plagued with delays due to moves into the cloud and optimizing the code for scale just to find out that the data doesn’t fit the process.

SERVICES

what we offer

Break down silos between Data and Operational teams

Production Ready Code from Day 1

Close the loop of Data Driven process reengineering

SERVICES

what we offer

01

DataOps –  Health Check

Benchmark current Data Engineering, Data Science, Agile, and Continuous Improvement processes

02

DataOps –  Foundation + Lakes

Establishing foundational processes for developing high quality code and managing process reengineering projects.

Designing and Implementing Data Lakes / Lakehouses to serve as foundation for all other initiatives

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DataOps – AI Modeling

Implement a variety of projects including Demand Forecasts, Digital Twins, Data Mining, and more

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DataOps – Process Reengineering

Use newly established DataOps capabilities to Reengineering processes with Lean Methodology and Automation

SOLUTIONS

01

Break down silos between Data and Operational teams

Integrate communication and collaboration between Data and Operational teams to eliminate isolated working structures, fostering seamless coordination for more efficient and informed decision-making.

02

Production Ready Code from Day 1

Crafting production-ready code from day one entails writing high-quality and scalable software that meets performance and reliability standards, ensuring a smooth transition from development to deployment.

03

Close the loop of Data Driven process reengineering

Closing the loop of data-driven process involves continuously analyzing feedback and outcomes and implementing strategic adjustments to achieve ongoing optimization and improvement in operational efficiency.

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