Learn how to implement a Data Warehouse that is the "only source of truth" that users can trust. Find out how to effectively organize data in the Warehouse itself. The Warehouse is optimally supplied with a dedicated ETL / ELT process making use of the components such as Azure Databricks, Azure Synaps, and Azure Data Factory.

Do you need structured data in one place and ready for analysis? Do you need to be sure that your data is stored with the highest security standards? Would you like to have access to structured business data that can be used by all departments of your company? Do you want to be able to perform more advanced analyses? Do you have a Data Warehouse that its Users do not trust? Do you want to improve your organization's management and decision-making processes thanks to the Data Warehouse? You do not know where to start implementing a Data Warehouse in the cloud?

Check out the Data Warehouse Audit service. Our Business Intelligence Specialists will present our standards for conducting data warehouse audits. During a standard audit, we can conduct a quick and accurate analysis of the current state of the Data Warehouse or prepare a list of steps to be taken before migrating or implementing a new Data Warehouse on the Azure platform. The detailed scope of the audit is determined individually, but usually covers key, permanent areas:

analysis and evaluation of the architecture of the Data Warehouse layers,
business needs coverage analysis,
analysis of the correctness and optimality of the Data Warehouse model,
verification of the processes supplying the Data Warehouse,
assessment of the adequacy and optimization of the selected ETL and BI tools available on the Azure platform.

We will share with you our best practices, and proven implementation methodologies, based on many years of experience in the Business Intelligence department.

You will receive:

A series of meetings with the IT department, business process supervisors, and end users with pre-addressed questions about the practical use of data and the reporting environment
Audit document with attachments (50~100 A4 pages) containing:

a summary of the current state of the Warehouse
management recommendations regarding the directions of development of the Warehouse
technological recommendations/suggestions for improvement

Audit summary meeting

Recipients:

Business/IT decision-makers
Business analysts
Management

Note: The audit usually lasts up to 30 business days and ends with a meeting during which the conclusions drawn from the prepared audit document are discussed. Aspects of strategic decisions faced by the Management Board are discussed. The audit service is carried out remotely or at the client's premises, with the participation of a dedicated team of specialists.

A standard audit covers the following areas*: PART I - analytical and business

analysis of business needs
coverage of business needs by the Data Warehouse
analysis of available documentation and standard

PART II - analytical and technical

verification of source systems (up to 5 key systems)
analysis of the quality of source data
review of ETL process standards
analysis of data warehouse layers
evaluation of data models

PART III - analytical and reporting

review of the reporting environment

*At the request of the contracting party, the scope of the audit can be extended. Additional areas included in the audit plan will be priced and determined before the service is performed after the client's and the contractor's approval.

Microsoft Cloud for Manufacturing

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