Data Analytics System Design
Integrate the use of data analytics in the production environment for the identification of bottlenecks and system improvements
Type
Functional
Competency Area
Big Data Analytics
Levels
Ingest and prepare the data for analytics
Review the data requirements required for the analytics project
Ingest data from different data sources into the analytics platform using the tools and/or programming language
Cleanse and transform the data according to the data requirements to support the analytics project
Resolve and follow up with any issues arising during the data preparation
Review the requirements of the statistical model to align with business needs
Select the runtime environment for the statistical model to be deployed and user requirements with the relevant stakeholders
Define the analytics architecture requirements with the IT team to deploy the statistical model
Develop the process to support the operations of the model with relevant stakeholders
Monitor and tune the deployed model to ensure that it delivers the expected outcomes and aligns with the business changes
Define the hypotheses technologies and tools
Define the business problem with the business stakeholders
Formulate the hypotheses based on the business problem
Evaluate and select the appropriate the Big Data technologies and tools
Design and drive the solution based on the business problem and hypotheses