Azure Data Science Adoption: 1 month implementation

Crayon Azure Data Science Adoption is a solution designed for advanced analysts, facilitating work with large amounts of various data, data models and allowing for their automation and operationalization.

Features:

• simplifies the work of data scientists by rapidly deploying, managing, and sharing machine learning models
• accelerates ROI with MLOps, open-source library interoperability and integrated tools
• allows you to collect and process data from various sources and formats
• enables the processing of very large amounts of data (Big Data) to build machine learning models and test them
• supports programming languages such as: SQL, Spark SQL, Python, R, Scala, .Net.
• central environment for data analysis and sharing of work results
• creating machine learning models, automation and operationalization
• use cases: forecasting sales, supply, demand and cash flow, optimizing raw material consumption, anomaly detection, fraud identification, potential assessment, basket analysis

Project:

• pre-implementation analysis
• configure Azure Landing Zone
• launch of the Data Science Sandbox environment
• running a sample machine learning model
• visualization of model results in a Power BI report
• knowledge transfer and project summary

Deliverables:

• configured Data Science environment
• machine learning model
• Power BI report
• transfer of knowledge about the prepared solution