Analytics process begins with constructing and running sophisticated data pipelines. Wide variety of data sources are utilized for data ingestion.
Once pipelines of datasets are ingested, the data factory is organized and controlled with the help of Lean Manufacturing and Statistical Process Control.
Everything is visually analyzed to identify trends and patterns. Insights are gained typically from Dashboards for a proactive approach.
Based upon insights driven by Exploratory Data Analysis, Machine Learning models are applied for predictive capabilities.
Predictive models are deployed, monitored, and managed overthe cloud or on-premise technology as required. Project is deployed intoproduction.
Finally, there is end-to-end pushdown execution either over cloud partner network or on-site with data science and analysis systems.