Data Warehousing & Data Architecture
Organising and centralising data to deliver an enterprise view of your company - improving ability to use data to drive business success.
Unlock the power of your data by consolidating it into a centralized, high-performance data warehouse. Our data warehousing solutions are designed to optimize data storage, streamline data retrieval, and improve decision-making. Whether you need to integrate data from multiple sources or require real-time reporting, we build scalable and secure data warehouses tailored to your business needs.
Overcome these challenges that arise from rigid or aging architectures include:
Scalability Issues
Older architectures are often not designed to handle modern demands such as increased data volumes or higher transaction rates. This leads to systems struggling to scale as the business grows, causing performance bottlenecks and slow response times
Security Vulnerabilities
Old systems may lack the latest security features, making them more vulnerable to cyber threats. Patching vulnerabilities in legacy systems is often more challenging, exposing the business to potential data breaches or compliance risks.
Maintenance and Upgrade Complexities
Maintaining or upgrading aging architectures can be costly and complex. As systems age, they become more difficult to update without disrupting operations, often requiring specialized expertise, and causing extended downtimes.
Integration Difficulties
Rigid or outdated systems may lack the flexibility to integrate with newer technologies or applications, making it challenging to adopt modern tools, cloud services, or third-party software. This results in siloed data and processes, hampering operational efficiency
Limited Agility
A rigid architecture restricts a company's ability to adapt to changing business needs or market conditions. This slows down the deployment of new features, services, or customer experiences, reducing competitiveness and innovation.
High Operational Cost
Running and maintaining aging infrastructure can be expensive due to inefficiencies, high energy consumption, and increased support costs. Additionally, as skilled resources become harder to find for legacy systems, labor costs can rise.
User experience limitations
Older systems often fail to support modern user interfaces or omnichannel experiences, leading to a poor user experience. This can frustrate both customers and employees, limiting productivity and satisfaction.
We assist in incorporating disjointed data assets, combining them into a data warehouse (cloud or on-premise) so as to deliver an enterprise view of your company. These data warehouses are the cornerstone to accurate reporting and analytics, providing that all-important “one source of the truth”.
From strategy to implementation:
Determine the goals, objectives, and business processes for your organization to lay out a blueprint for success.
Design a comprehensive and functional data warehouse dimensional model (OLAP, star schema, snowflake schema, etc).
Develop operational data stores (ODS) for interim data storage.
Identify and define the type of data being stored and the sources being used.
Launch a tiered deployment to ensure successful implementation.
Leverage ETL best practices, including development, tuning, and maintenance.
