TRANSFORMING HIGHER EDUCATION DATA PROCESSES
A data warehouse is a system used for reporting and data analysis, and is a core component of business intelligence. Data warehouses store a large amount of data that has been collected from a wide range of sources within a company. They store current and historical data into a single place, which is then used for creating analytical reports for workers throughout the enterprise. There are two ways to implement a data warehouse: you can build an on-premises DW tailored to the specific needs of your organisation or you can use an external cloud-based data warehousing provider to manage and maintain it.
ON-PREMISES WAREHOUSING
The traditional method of data warehousing is achieved by operating an on-premises data warehouse. Utilising this method requires utilising internal IT resources, infrastructure and software to deliver data warehousing functions. This can become too complex and too expensive for a lot of businesses. It can be difficult to maintain and upscale with an exploding demand for data-driven insight.
However, some businesses prefer internal warehousing to ensure internal security control of data. For a company that requires specific and tailored security measures, a custom-made on-prem data warehouse may be the best solution.
CLOUD WAREHOUSING
Increasingly, there has been a trend towards using cloud-based data warehousing architecture. This methods involves leveraging an external cloud provider to provide DW functionality. By using a provider, the initial setup costs are avoided, and the enterprise warehouses are fully managed by the service provider. This includes system updates and patches.
At Billigence, we work with our software partners Snowflake to implement a fully relational ANSI SQL data warehouse, allowing your organisation to utilise the tools and skills it has already. This method eliminates the need for arduous management and administration on the business’ end, allowing the business to focus on using your data for insight rather than wasting time and resources managing it.
IMPLEMENTATION APPROACH
Prerequisites
Complete the Implementation prerequisites
Prepare for proof of concept (obtain accesses, map processes)
Proof of Concept
Start with FREE trial of Alteryx
Build skeleton of model
Prove Alteryx is the right solution
Develop and Deploy
Purchase 1 Alteryx Designer License
Build fully working automated solution based on requirements and visualise results for analysis
Deploy the model
Training of users for self-maintenance
Advanced Shareable Solution
Purchase Alteryx Server license along with a few more designers
Easily share the model with others
Give other departments the access to build their own
Leverage Alteryx for other processes
The Snowflake Solution
Advantages
High Performance
Highest Class Security
Fast Engine
Multiple Clouds
Multiple Concurrency
Per-second Pricing
Instantly Scalable
“Billigence have proven themselves to be a strong and consistent partner, always accommodating and delivering value above and beyond our expectations whenever there’s a need. We have built a strong relationship with the team which will continue to grow as Billigence support our strategic objectives towards becoming a data driven University.”
“Getting Billigence on board has proved to be an excellent decision. They’ve had the skills, experience and tools to tackle some of our long-standing data challenges and quickly solve them. They’ve really moved our management conversations forward, busting some myths and helping us to focus on the real challenges.”
“Billigence’s approach to enabling my team to use Alteryx has been first class. We never felt lost in the complexity of the process and Billigence was able to teach us and show us what we needed to do simultaneously. It was also great fun. We made far more progress in one working week with Billigence than we had dreamed was possible at the start of the project. Undoubtedly we will become avid Alteryx users and keep our link to Billigence’s expertise on student number planning to ensure our University prospers.”