Implementing a Data Platform
The Case Study
Who was the client?
We implemented the Data Platform for a client that is one of Europe’s leading private debt firms. They provide credit solutions to high-quality and stable companies across Europe and the US.
What did we do?
We worked closely with the client to understand their business needs and goals, and to help them envision the possibilities of what the data platform could achieve. Through our guidance and expertise, we were able to assist the client in identifying the key requirements for the platform and designing a solution that met their needs. Our focus on effective requirements gathering ensured that the platform was tailored to their specific needs and was able to deliver real business value. By guiding the client through the process of designing and implementing their platform, we were able to help them unlock new opportunities and achieve their goals.
The project objectives
Our role in the project was to advise on, design and develop an end-to-end data platform implementation using the Microsoft Azure technology stack. Which was developed with the client’s own Microsoft tenant. This included:
We leveraged Microsoft Azure’s automation capabilities, allowing the client to focus on using their data to drive business value. Rather than spending time on manual data processing tasks.
Single source of truth
Bringing data from various operational sources into a centralised location, so the client could can gain a comprehensive view of their business operations. This enabled them to analyse data across multiple systems, identify patterns and trends, and make informed decisions based on up-to-date data and increase data accessibility.
We ensured consistency across reports and dashboards by centralising the calculation of metrics to reduce inconsistencies and duplication of effort.
Power BI reporting
We built a suite of Power BI dashboards to visualise data from the platform. We also provided training to the client’s team on how to create their own dashboards in Power BI, using the data platform. By empowering users with the skills and knowledge to create their own dashboards, the project was able to deliver a solution that could evolve over time to meet the changing needs of the business. The training also ensured that the client’s team had a deeper understanding of their data and could use it more effectively to make informed decisions.
What did we bring to the Data Platform implementation project?
Our business knowledge
Our unparalleled understanding and knowledge of private capital markets business allows us to offer cutting-edge advice and envision the possibilities and value the data platform could achieve.
Our technical expertise
Our expertise in the technical implementation of data platforms has enabled us to design and deploy scalable, efficient, and secure cloud-based solutions that meet our clients’ specific needs.
Our deep technical knowledge
We drive significant business value for our clients. By leveraging our technical expertise (both from previous engagements, and our certified Microsoft Azure Data Engineers), we can design and implement robust data solutions that are tailored to meet our clients’ unique business needs.
Our intuitive understanding
By working closely with personnel of varying roles, including business-oriented users and in-house technical teams, we can ensure that our data solutions are efficient and effective for all stakeholders. This approach enables us to streamline the implementation process and quickly resolve any minor issues that may arise along the way, minimising disruption to our clients’ operations.
The project outcome
By centralising the client’s operational data in a data platform, we were able to provide them with a comprehensive view of their business operations. With all their data in one place (and refreshed using automated processes), the client was able to analyse it using Power BI more effectively and make informed decisions based on up-to-date data. By having a single source of truth for their data, the client was also able to reduce data discrepancies and improve data quality. Ultimately, the data platform provided the client with the scalable data foundation they needed to optimise their operations and drive growth.
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