The greatest strength of a Data Warehouse is its ability to provide accurate information and deep insights to decision-makers in a timely manner. This allows businesses to keep pace with changes, enhance competitiveness, and drive digital transformation.

Businesses should not overlook the benefits gained from a Data Warehouse

1. Analyzing Trends and Developing Effective Strategies

One of the main benefits of a Data Warehouse is that it allows users to consolidate a large amount of data from multiple sources to provide better information. Looking at historical data makes it easy to analyze trends over time and develop effective strategies

2. Diverse data sources

Data Warehouse provides data from multiple sources, so businesses will have a clearer picture when they need to analyze information. In addition, businesses can also reference visual models and filter out useful information from the massive data block

3. Stability

A Data Warehouse allows access to stable data at both high and detailed levels. This brings flexibility when performing queries quickly.

4. Allows different users to query related information

When different departments need to access information, the Data Warehouse allows all these queries to occur simultaneously

5. Data standardization

By standardizing data, the Data Warehouse helps businesses obtain detailed information by referencing various types of data, standardizing and synchronizing interaction processes, avoiding bottlenecks, and reducing risk.

 

1. Data Warehouse Consulting: MSM experts will consult with customers to build new, improve or upgrade existing enterprise Data Warehouse solutions.

- Designing a new Data Warehouse solution that fully meets the needs of the business.

- Suggesting storage solutions such as Cloud-based, On-premise or hybrid Data Warehouse.

- Designing a data integration strategy.

- Advice on Data Quality Management Methods.

- Suggesting the best accompanying technologies.

2. Migrating Data Warehouse to the Cloud: MSM will survey and provide the best data migration strategies for the customer

- Build migration strategy and plan

- Provide the most suitable cloud service

- Configure the cloud cluster in a cost-optimized manner

- Re-architecting the Data Warehouse on a new platform

- Translate Master and Metadata data to the new Data Warehouse

- Verify the completeness of the data after a successful migration.

3. Develop Data Warehouse

We perform data modeling and implement a Data Warehouse. Or we carry out a comprehensive solution that includes building a Data Lake, Data Warehouse, ELT process and OLAP block. To meet time and budget requirements, we apply the most suitable software development life cycle models such as Iterative, Incremental, Scrum, Kanban, Waterfall

4. Provide support for Data Warehouse

- Provide data management services. MSM builds rules to ensure the cleanest and most accurate data

- Monitor performance and capacity of the Data Warehouse. Including: Query run time, accuracy of transformed data, and data backup

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