Serene DataOps
Rapidly develop Data Science teams to build data driven business processes
Team Member Experience
0
Enterprise Scale Solutions
0
Locations Deployed
0
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
03
DataOps – AI Modeling
Implement a variety of projects including Demand Forecasts, Digital Twins, Data Mining, and more
04
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.