Data Warehousing

A data warehouse is the heart of business analytics

The main obstacle to generating a well-functioning overall picture from your data comes from the fact that company data tends to be stored in different channels, forms, storage mediums, versions and formats.  

One meeting, two people, three different file versions of the same report – nobody knows which row of data has been changed in the meantime and why the end result is different in every version… does this ring a bell? 

We help you gather different data into a centralised data warehouse, which simplifies their access and reuse, and allows you to create whole new layers of knowledge by combining data that up until now was completely incomparable.

Information becomes accessible for key people with no external help and cost, whenever they need it. Where it used to take days and weeks, now you’ll count time in minutes and seconds.

What are the benefits of a data warehouse?

  • Analysis and reporting for business decisions becomes considerably cheaper and faster, and its quality improves

    Data are automatically gathered into a central database. It is no longer necessary to order reports from IT; users can now create the necessary analyses, reports and dashboards themselves. Data are harmonised according to terminology and names that are commonly used and similarly understood by everyone in the company (client, store, product, warehouse, etc.). 

  • Proactive approach helps you to minimise risks and spot new business opportunities

    Data are often used retroactively in order to validate previously made decisions or measure their impact. This helps to validate past actions; however, a data warehouse helps to monitor the impact of changes in real time and, when necessary, make extremely quick and pre-emptive business decisions.

  • Previously unused data can be harnessed to drive innovation

    Previously inaccessible or unused data can unlock entirely new opportunities and open new business horizons. An organised data warehouse also creates the preconditions for machine learning, which in turn may generate completely new value.

  • Security and integrity

    Finally, there is a simple way to determine who should be allowed to access which data, and manage it. All business-critical data and version history are under control and duplicated in a separate system.

How does the data warehouse work?

If you really wish to understand it, then you’re in luck – it’s no rocket science. Pre-selected data are uploaded from various operating systems into the new data warehouse at certain intervals (hourly, daily, etc.). During this process, data are automatically valorised – verified, unified, converted, bound and filtered, in order to make them mutually comparable and suitable for processing.

As a result of this process, the data warehouse becomes the only “source of truth” and serves as the basis for all numbers, queries, analyses and decisions.

In helping you to design the data warehouse to support your business, our data architects and developers have your company’s analytics needs in mind – data spanning all units within the company are gathered into one central database; data are stored in a unified and accessible manner, and queries don’t take time.

Why Datafruit?

  1. Flexibility and quick wins

    We have an agile approach to building a data warehouse – we focus initially on one narrow business process or its part, and divide actions into as small stages as possible, each of which has a clear and results-driven deliverable. These results and specified requirements also allow you to conveniently modify the project’s long-term development plans and priorities.  

    We take care of the most pressing requirements one by one, which leads us to quick and tangible wins.

  2. Communication. Feedback. Phased development.

    The core principles of agile data warehouse development are close cooperation and communication, constant prototyping and provision of feedback, staged development and delivery. Our pace also depends on the speed of your feedback. 

  3. Expandable architecture

    A data warehouse with a smart design is scalable and corresponds to your needs tomorrow. This means that it can be adjusted according to changes in the surrounding context. We pick the low-hanging fruit for you right away, but with long-term cooperation we can also reach the tree-tops.  

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