Silos and spaghetti
In recent years, interest in data has surged as companies recognize the substantial benefits of becoming data-driven organizations.
The data collection process often begins at one end of the business and gradually extends to cover additional areas. This typically leads to the creation of separate analysis dashboards for management, distribution, finance, and other functions.
Behind these diverse dashboards are numerous data warehouses gathering the data required to address various inquiries. With each new question, another tool is integrated, resulting in separate data silos that operate in isolation from each other, hindering the organization's ability to effectively utilize data.
A better approach is to move away from the confusion of data silos, known as spaghetti solutions, and consolidate everything in one place. To succeed, it's crucial to start in the right place, says Torstein.
Reframe the question
At twoday, we consistently advocate beginning by constructing the product itself. Through discussions with decision-makers, we can ascertain which issues necessitate data-driven solutions. What insights does each business sector require to enhance efficiency? That's where the groundwork is laid.
Then, we pinpoint where we can access the data required for each analysis. Only the data necessary to address the specific issue is gathered and stored in the data platform. Following this, reports can be initiated for each area – frequently within weeks of commencing platform development. Consequently, the data platform expands incrementally, amalgamating all components into a single data warehouse capable of facilitating integrations and cross-fertilization across various areas.
Constructing a data platform should consistently be guided by business benefits, states Torstein Thorsen, a Business Intelligence advisor at twoday. By asserting control over the collected data and ensuring its practical utility, the organization can enhance efficiency and attain a clearer, more cohesive overview of the outcomes.
A successful Proof of Concept (PoC) streamlines the implementation of a data platform
Prior to embarking on a data management project, a Proof of Concept (PoC) can illustrate the project's feasibility and value. At twoday, we provide customized Proof-of-Concept projects (PoCs) utilizing your own data, allowing you to assess the potential benefits before initiating a data warehouse project.
Learn more about how a PoC works here!
Or contact us by filling out the form, and we can schedule a meeting to discuss further!