In today’s highly competitive business environment, making well-informed decisions is essential to staying ahead of the competition. More and more companies are adopting cloud-based Business Intelligence (BI) solutions to optimise their data analysis, yet many still struggle to harness their full potential. In this case study, we demonstrate how, with the support of Daus Data and Amazon QuickSight, the implementation of a data warehouse and interactive dashboards can transform your analytics strategy and elevate it to the next level.
Step One: Having an Expert Data Team Matters – A Lot
A critical component of any data analysis project is having the right support to maximise the value of the implemented tools. At Daus Data, we specialise in data processing and analysis using the most advanced AWS tools. Our expertise and hyper-specialised knowledge were key to ensuring the efficient and effective management of one of our telecom clients’ data.
At Daus Data, we have a dedicated team of specialists designing and implementing customised architectures using AWS technology. Our solutions enable businesses to access accurate insights at the right time. With the support of our team, organisations can maximise the value of their data and optimise decision-making processes.
Data Warehousing: The Foundation of a Robust Data Strategy
Our client needed to manage large volumes of information and generate precise analyses. We identified that a data warehouse should be the central element of their BI strategy to ensure efficiency. With the support of the Daus Data team, we built and configured centralised repositories to store historical data from multiple sources, allowing complex queries and the extraction of valuable insights in a swift manner. Here’s how we did it:
1. Amazon S3 and Redshift for Efficient Storage and Processing
A key aspect of this solution was the combined use of Amazon S3 y Amazon Redshift, two crucial services within the AWS ecosystem. Amazon S3 is used for secure and scalable storage of raw and historical data, providing fast and reliable access to information whenever needed.
Once the data is stored in S3, it is loaded into Amazon Redshift, a powerful cloud-based data warehouse service. With Daus Data’s assistance, Redshift was configured to run queries at high speed, enabling near-real-time analysis of large data volumes—something that previously would have taken much longer.
2. Amazon Glue for Smart ETL Automation
To ensure data quality and query efficiency, we utilised Amazon Glue as the primary ETL (Extract, Transform, Load) tool. Glue automates the extraction of data from S3, transforms it according to the requirements, and then loads it into Redshift for analysis.
This automation significantly reduces the time analysts spend preparing data, allowing them to focus on what truly matters: uncovering strategic insights that deliver real business value.
3. Amazon QuickSight for Dynamic Data Visualisation
With the automation of data querying and quality assurance resolved, the next challenge was: How do we make the data accessible to the entire organisation? For this, we implemented Amazon QuickSight as the data visualisation tool. With QuickSight, you can create interactive dashboards that update in real time, providing a clear and accessible view of the information, regardless of the users‘ technical expertise.
The direct integration of QuickSight with Redshift, managed by Daus Data, ensured that the dashboards were fast, scalable, and capable of handling large data volumes. Today, our solution allows teams to access the most relevant information smoothly, democratising data access across the organisation.
Impact and Results: Revolutionising Decision-Making with AWS
With Daus Data and AWS tools, this infrastructure has revolutionised how our client Telco manages and analyses data. What once relied on manual processes and static reports is now available in real-time, with intuitive dashboards updated instantly.
The impact has been groundbreaking: business teams now make faster, more accurate decisions based on up-to-date data, improving internal processes and directly contributing to increased business outcomes.
Daus Data and AWS: Driving Business Analytics Forward
By combining our hyper-specialisation at Daus Data with the advanced technology of AWS (Amazon S3, Redshift, Glue, and QuickSight), we have transformed how companies analyse and leverage large volumes of data. This combination has not only optimised data analysis performance but also empowered teams to make more informed, strategic decisions.
Is your company looking to improve its strategic decision-making? Consider an architecture that combines the power of AWS with the expertise of Daus Data and unlock the true value your data can offer.