Project Description
Creating a robust, scalable and future-proof data warehouse
One of our clients is an insurance provider that offers unique solutions in the areas of care, disability and absenteeism throughout the EU. They maintain close collaboration with partners who directly engage with the end-users. Given their extensive customer base, it’s crucial to make informed business decisions and ensure precise data insights! To meet this need, we assembled a team of Data Visualization Expert, Data Engineer, Solution Architect and Project Manager to help create a robust and future-proof data warehouse. Our team worked closely with their Data Analyst and stakeholders and supported them in areas such as data engineering, cloud development, project management, Power BI dashboard development and solution architecture.
This project includes an end-to-end solution; from collecting raw data to visualizing insights on a Power BI dashboard. This all to provide the client with the following added values:
Having a data warehouse with an automated dashboard that provides reliable and up-to-date insights whenever and wherever you need them.
Promptly identifying and addressing issues through rigorous data checks.
Generalizing and comparing data from diverse sources such as Excel and SQL, translating it into a single format.
Analyzing various time periods and trends to make predictions for the future.
Theme
Intelligent operations
Sector
Insurance
The concept
To establish a robust and effective data warehouse, it’s essential to maintain a well-structured data pipeline for extracting, transforming and preparing data. By creating an automated data pipeline, we eliminated the need for manual coding and data cleaning. Furthermore, a generic data model was devised to ensure the generation of consistent reports. These reports are subsequently visualized on a Power BI dashboard. Importantly, the entire data warehouse operates on Azure, making it future-proof and scalable.
The challenge
Our client needed unified insights from diverse data sources to ensure accurate comparisons. We automated their central data warehouse to process various formats (e.g., Excel, SQL), standardize data, and prepare it for reporting. For this insurance provider, precise data is crucial for tracking premiums, claims, and validating past claims. Automating reporting and adding thorough checks minimized manual errors, ensuring accurate claims processing and seamless administration.
Techniques and technologies
During this project, we put together a team of Data Visualization Expert, Data Engineer, Project Manager and Solution Architect. We maintained a close collaboration with the client’s Data Analyst and engaged with their stakeholders, who represent the end-users of the dashboard.
Data Factory to build automated data pipelines using a simple interface.
Azure to host and manage access.
Power BI to visualize data in dashboards and allow the client to quickly get up-to-date overviews and dig into their data.
Result
With a solid data warehouse, decision makers can gain insight into current and historical data. This includes obtaining an overview of expenses and revenues, such as expected premiums, expected claims reimbursements and the validation status of insurance claims from the previous year. In addition, we ensure the integrity of high-quality data through numerous controls integrated into the automated data pipelines. These controls are of various types and adhere to various business rules, such as ensuring uniform date notations, checking the presence of specific columns in each Excel file and enforcing restrictions such as a maximum claim duration of 1 year. Having a solid data warehouse enables our client to make informed decisions quickly and better understand their performance. Moreover, it allows them to implement other innovative and smart data science capabilities in the future.
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