Azure Data Warehouse 4-weeks Proof of Concept

We understand our customers and we know how difficult it is to switch to the modern analytics. The challenges we face are related to the complexity of the environment, large amount of data (Big Data), data diversity, data variability over time, cost of environment, and also related to insufficient knowledge and availability of people in the team. That’s why we propose an incremental change approach by building competences, to show the possibilities of individual products in similar to real one environment. POV project related to the launch of a data warehouse in Microsoft Azure is the answer to these needs.

We prepare the customer’s team for the implementation of a modern analytical platform, like Data Warehouse, in the Microsoft Azure cloud. The most important goal of the project is to build the team's competences in order to better understand the modern analytical environment in the Azure cloud and its further development. The key points of the project are analytical workshop meetings aimed at gathering requirements related to infrastructure, data, and architecture. The next step is to develop a concept for working with data by identifying roles, processes, rules, and defining the environmental life cycle. Than we will be developing competency profiles and proposing paths for further development. The project ends with workshops showing the functionality of the technologies used in architecture. The End to End process will be presented: data collection, data transformation, data model, data mining, reports, predictive analysis, dashboards, sharing all analysis, and teamwork.

Deliverables:

• Analytical workshops
• Proposed solution architecture
• Proposed implementation path
• Concept of working with data (data governance)
• Competency profiles
• Workshops for end users
• Project documentation with test results