How a data warehouse grows a company in 4 steps

The main objective of a data warehouse is to provide your company with an integrated and consolidated vision for efficient data management.

With a data warehouse, you can store, organize and process large volumes of data so that business intelligence tools can extract valuable insights for your business success.

In this article, we show you how to use the data warehouse, how it can boost data analysis with BI and the benefits that can help your company grow.

Keep reading.

How does data warehouse work?

In the digital age, data is a company's most valuable asset.

A data platform with Modern Data Stack facilitates decision-making, optimizes operations and drives innovation based on data.

It is in this context that the data warehouse (DW) a crucial tool in the world of business data management.

Find out how the DW works to make a company grow in 4 steps.

1. Comprehensive data centralization

The data warehouse is a repository that embraces all of your company's relevant information. It stands out by unifying data from various sources, such as spreadsheets, ERPs and CRMs, regardless of the format, be it SQL, XLS, TXT or CSV.

2. Rigorous quality and standardization processes‍

Data quality is imperative, meaning that the DW carries out quality and standardization processes. This ensures that the information is consistent, reliable and ready for in-depth analysis.

3. Data targeting strategies

After the standardization stage, the data goes to strategic destinations: enterprise data warehouses (EDW) or data marts. This strategic decision makes it possible to take a more specific approach to different sectors of the company, maximizing the usefulness of the data.

4. Easy access to information

The data warehouse gives you access to crucial information in a single place in an organized and up-to-date manner. With it, you can extract valuable insights without having to search for data in multiple sources, which can simplify your decision-making.

In other words, yes: a data warehouse can optimize your company's results.  

What's more, using DW to extract information with business intelligence is essential to boost your company's growth.

The relationship between data warehouse and business intelligence

Data warehouse (DW) and business intelligence (BI) are interconnected and are often used together to provide a comprehensive result for data management and analysis. These tools form a strategic alliance for your company.

The DW, being the solid base, allows the BI to provide an organized and comprehensive view of the information that is crucial for making assertive decisions.

See the main relationships between these tools.

‍-Data storage

Data warehouse: is a centralized repository that stores large volumes of data from various sources after going through extraction, loading and transformation (ELT) processes. It is designed to provide a consolidated and integrated view of the data.

Business intelligence: uses the data stored in the data warehouse for analysis and report generation. BI depends on the DW to obtain consistent and reliable data.

- ELT process

Data warehouse: involves extraction, loading and transformation (ETL) processes to collect raw data, transform it into a suitable format and load it into the DW.

Business intelligence: benefits from the ELT carried out in the DW, as the transformed and consolidated data is more suitable for advanced analysis.

- Data analysis

Data warehouse: stores data in a format optimized for analytical queries; provides a solid basis for historical analysis and trends.

Business intelligence: uses DW data to carry out advanced analysis, create interactive dashboards and generate reports that help make strategic decisions.

The efficient combination of these two systems is very effective, even more so for an effective data management strategy . For even better results, using cloud data storage tools such as Snowflake can be a great move.

Which data warehouse to use in your company?

O Snowflake is a cloud-based data management system that offers data storage and an  analysis platform.

This data warehouse is designed for companies to store and analyze large volumes of data in an efficient and scalable way in the cloud.

Just like a traditional DW, the Snowflake offers a centralized place to store data. It supports structured and semi-structured data, allowing organizations to store it all in one place.

Why choose a data warehouse?

The main objective of a data warehouse is to provide your company with an integrated and consolidated vision for efficient data management.

Choosing a DW can offer several significant benefits for organizations that have to deal with large volumes of data and extract valuable insights to support decision-making.

We've listed eight reasons why you should choose a data warehouse for your company.

1. It brings together data from various sources in a single place.
2. Provides quick answers to complex analytical queries.
3. It grows according to the company's needs.
4. Maintains history for temporal analysis.
5. Guarantees data protection and controlled access.
6. Facilitates the creation of reports and visualizations with BI tools.
7. Allows advanced analysis.
8. Ensures uniformity and reliability of data.

The choice of a data warehouse is motivated by the need to store, manage and analyze large sets of data efficiently, providing insights that drive intelligent decision-making within the company.

Indicium can help you choose and implement a DW

Indicium is one of the fastest growing data companies in , and our goal is to help you make smarter decisions based on your business data.

If you still have doubts about whether a data warehouse is right for your company and which one to choose, talk to us by clicking here.