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Data projects always aim to make the right tools and information available to the company to make optimal strategic and operational decisions based on the analysis of business data. los datos de negocio.
A well-executed Data oriented project should provide accurate, up-to-date, relevant and easy to understand and consume information for the person or groups of individuals to whom it is addressed.
In order to achieve our goals, every project must go through the following stages:
Define needs and objectives: the current and future needs of the company are analysed and specific objectives, the necessary information and its sources are defined.
Tools and methodology: the most appropriate tools for the execution of the work and the methodology of analysis are defined according to the objectives and needs of the previous point.
Work planning: all the actions, execution deadlines, infrastructures and resources necessary to carry out the project are defined. Works are scheduled in such a way as to ensure regular deliveries of finished products that can be exploited by the company.
Execution of scheduled work: including data architecture, ETL, modelling, design and dashboard creation. This point includes the review of the products already delivered.
Training and support: in order for the company to get the most out of its data solution, it is necessary that users receive adequate training, in addition to offering technical support tailored to the specific needs of each client.
This DH Marketing dashboard highlights key metrics across sales, campaigns, and customer behavior. The dashboard features interactive visuals by product category, birth decade, and marital status, along with customer rankings and dynamic filters. Its intuitive layout enables trend analysis and supports strategic decision-making through segmented, up-to-date data insights.
This report provides a consolidated overview of the wine sector in Spain, highlighting the diversity of grape varieties, regions, and producers, along with key indicators of quality and market positioning. Through comparative visualizations, relevant patterns in wine offerings are identified, enabling a deeper understanding of the sector’s dynamics and strategic opportunities.
Based on Power BI’s native capabilities, this type of solution enables the combination of historical data with real-time information, integrating multiple sources such as relational databases, web services, and shared files. The DAX analysis engine facilitates the creation of complex and dynamic metrics, while publishing through the Power BI service ensures secure, controlled, and scalable access for different user profiles.
An example of a dashboard for monthly analysis and annual tracking of sales, stock control and invoices. Although it is based on a fictitious database, it clearly reflects the benefits of a BI solution that always returns the most current data.
Based on a successful project currently in production for one of our international clients, this is a rainfall report by region where the historical temporal component has a special relevance together with the always up-to-date data.
Dashboard developed to analyze the energy efficiency of a hotel’s rooms and thus optimize the distribution of occupancy according to the time of year.
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