Data warehouse
You have data about stores, transactions, people's behavior on the site, production data, operational data and much more. Each have a slightly different format, located in 10 different locations. The last attempt at analysis had no meaningful output.
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Do you have a lot of data sources?
Do you want to use the full potential of your data?
Isn't Google Analytics enough for you?
Need a data warehouse
A data warehouse is a central repository for storing and managing large amounts of data from a variety of sources. It facilitates access to information and enables analysis and evaluation of data linked together.
1) One version of the truth
Minimize data mismatch that occurs due to data storage in different systems. Facebook shows you a different number of transactions than Google Analytics? The truth is in the data warehouse.
2) Fast data analysis
80% of the analysis time is spent on data cleaning. The data in the data warehouse is clean, unified and ready for analysis. You will save a lot of time on repeated data cleaning.
3) Tailor-made for you
You can view data from the data warehouse to different people in the company as interactive reports so that they can work with them. We design the data warehouse so that it is scalable and you can process large volumes of data.
4) Secure storage
Data storage will include data backups, access control, and other security measures. Protect sensitive data and reduce the risks associated with loss or leakage.
Thanks to Pavel, we not only have all our web projects measured through and through - but we can also work much better with the measurement results. Whether we need the most complex report or just a little help, Pavel is always great to help us.
Project manager, Lectura
How we work
1) We understand your needs
We will find out how you need to work with data, what technical and legal limitations you have.
2) We will design a technical solution
We will go through the documentation of data sources, design the architecture of the data warehouse and methods of processing and storage of data. Based on the analysis, it will become clear how much it will cost to implement and operate the data warehouse.
3) We implement data warehouse
We create a data warehouse, connect it to data sources and debug problem areas. We will document everything. We will train you to use the data warehouse.
4) We evaluate the impact
We will evaluate the impact of working with a data warehouse on your organization and suggest next steps to develop and improve work with data.
5) We secure the operation
We will be at your disposal for long term API updates, service requirements and consultations.
Data has no value unless you act on the data. We can help you find a path from data acquisition to activities that make you a profit.
Pavel Šabatka
lead analyst
What’s a Rich Text element?
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