DWH And BI For Warehouses

Retail

Company size:

Presence:

Technologies:

5000+ Employees

Global

Power BI, Azure SQL DB, Azure Data Factory, Databricks

01:

CHALLENGE

The client hosted many different IT systems across different regions around the globe on a variety of platforms, using a diverse mix of technologies, standards, and protocols. Although there were elements of business intelligence and reporting present, there was no single enterprise-wide BI solution to manage and translate the data held in these systems. Reporting and BI capability was very limited & manually intensive in places. To help understand and translate the data held within the company and plan future business strategies there was a need to determine what were the requirements for Business Intelligence & reporting.

02:

SOLUTION

All the data is loaded on the Azure Data Lake Gen2.
Azure VM with Master Data Services enables users to manage a master set of organization’s data.
The data can be organized into models, rules for updating the data can be created, and the data update privileges can be set up.
Metadata is stored in the Azure Data Catalog. This contains information about data sources needed and helps users understand and consume the data from these sources. It is a central place for data source discovery.

03:

RESULTS

Azure DWH is a single source of truth for the whole system.
Azure Analysis Services provides enterprise-grade data models in the cloud.
The use of advanced mashup and modeling features enables users to combine data from multiple data sources, define metrics, and secure the data in a single, trusted tabular semantic data model.

DWH And BI For Warehouses

Let's talk

This website uses cookies.

Learn more