Bringing information stored in different formats into accordance is an endemic headache for all employees working with disparate data repositories. Uniting them under one DWH roof doesn't only mean creating a single source of truth. It also presupposes the standardization of all data sets and transforming them into the formats that will be most convenient for hoarding and handling.
The breathtaking speed with which the amount of information multiplies nowadays raises a question of storage space limits before entrepreneurs who rely on on-premises data banks. You can forget such fears with the cloud-powered DWH solutions we create at DICEUS. Our products are scalable and elastic to keep abreast of the growth and expansion of your organization and its shifting needs.
The more aged and extensive the on-premises data storage is, the lower the speed of adding, accessing, retrieving, and analyzing the information it contains. However, entrepreneurs can't afford to waste their precious time in the fast-paced business environment. Therefore, DWH is honed to manifest a high data processing rate, thus accelerating all related workflows.
Unlike old-school data banks with legacy tools, a state-of-the-art data warehouse has an entire roster of analytical functionalities allowing you to sift through historical and current data, generate reports, and build predictive models. As a result, you can enjoy more knowledgeable decision-making and shape your marketing strategy correspondingly.
Designing DWH architecture
Creating the front end
Developing the back end
Testing and QA
The length of the period during which the project will be implemented is conditioned by five factors:
The precise calculation of the future project cost can be performed only in case we are aware of the following information:
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