Simplified data warehouse

In the world of data, you've probably heard of the data warehouse, a tool that serves as a starting point in the data analysis process .

This tool provides an integrated, historical view of data, enabling in-depth analysis and data-driven decision making .

The data warehouse is designed to support complex queries and analysis of large volumes of data , with the aim of supporting business decision making .

Do you want to know more about what data warehousing is and how it can generate value for your company?

We explain everything here. Good reading! 🥸

What is data warehousing and what is its value?

It can be said that the data warehouse (DW) is the home of data . In other words, a secure place that stores and integrates structured data in one place , like a large database optimized and designed for analytical queries .

After all, data from different sources and formats do not integrate naturally. So, the great advantage of a data warehouse is precisely this consolidation of data from different sources of information, such as operational systems, spreadsheets and CRMs in a centralized location.

With this, DW transforms data into tangible information for managers’ decision-making .

What is the function of a data warehouse?

A data warehouse allows the analysis of large amounts of data at once, much faster than traditional databases. And, therefore, it can have numerous features for a business, including:

1. consultation and reports: informs everything that has happened so far.
2. business analysis ( OLAP ) : informs the reason for some of these events.
3. data mining : indicates what could happen and other relevant information.
4. dashboards and scorecards : clarify the present and monitor a company's performance , in accordance with business strategies.

However, although the data warehouse has all these functions, the operationalization of each of them requires different technologies, processes and conditions.

To achieve this, it is necessary to create an integrated , harmonious and efficient environment in which big data and the data warehouse operate together .

Implementation of a data warehouse with Indicium

The idea of ​​visualizing your company's data in real time sounds incredible, doesn't it?

However, for the data to reflect the reality of your organization, you need to organize your house.

And this can be done with the help of data architecture.

Here at Indicium , our data architects plan DW solutions in a personalized way , considering the specific needs of our customers. Therefore, the process may vary depending on each project.

For you to understand better, the following figure illustrates, in a simplified way, the chain of implementing a data warehouse . Check out!

1. The process begins with the collection of data scattered across different sources.
2. Then, extraction and transformation takes place , the phase responsible for filtering and organizing the most relevant information available.
3. From there, loading serves as an aid in the transition of all collected data to the data warehouse.
4. Finally, with this information stored , the DW is ready to be used and generate value for companies.

How to take the first step?

You may be an expert in data science or just starting out in the field, but one thing is certain: a data warehouse can take your organization to another level.

Still don't know how to start?

Our specialized team can help. We have extensive experience in this matter.

Chat with us here .