Data warehousing has evolved in a short amount of time, but one goal has remained constant, defining a data warehouse that empowers users to access valuable data when they need it. Developments in the market and our industry experience allows us to contribute to successful data warehouses implementations and utilization. In this insight we look at the difference and benefits of data warehouse solutions.
Cloud
A major development for many organizations has been to move in the direction of cloud data and data warehouses. We see a growth in this approach but with varying maturity. Some organizations are making their first steps to the cloud, while others have a mix of on-premise and integrated cloud data warehouse solutions. The challenge lies in defining the balance between what data is housed on-premise and what is housed in the cloud.
During the infancy of cloud-based data warehousing, organizations managed cloud-based, and on-premise data which introduces challenges as data grows and changes. As organisations grow solutions change and data sources differ. Cloud-based data warehousing often provides many of the mechanisms to the integrate and centralize data from different sources.
Cloud based data warehouse technologies and platforms have greatly improved and offers many of the capabilities previously only available to on-premise solutions. In addition, cloud offers the following benefits:
- On-demand scalability
- Cost efficiency
- Bundled capabilities such as Identity and Access Management (IAM) and Analytics
- Security
- System uptime and availability
The key to successful data warehousing is to ensure data is understandable, standardized and transformed in a centralized location reducing the need for further transformation by users before it can be used. Data is often siloed across the organisation which can lead to different definitions and interpretations of the same data. Data warehouses bridges the gap by functioning as a hub across the organisation and thus allows data to be easily and efficiently accessed.
Data Virtualization
A second major development we see within organizations is the move away from data lakes and the increased usage of data virtualization. This allows an application or report to retrieve and manipulate data directly from source. It uses a logical data layer that integrates enterprise data across the system landscape and manages the (unified) data so it can be delivered to business users in real time and a business-friendly manner. To successfully implement, a solid data foundation is needed. LeadingMile Consulting helps you design and deliver your ideal solution.
Managing Business Data
We often see challenges organisations face when managing data, such as:
- Delivering data to the stakeholder at the right time
- Making data accessible to users quickly and efficiently
Data becomes valuable when it is made easily accessible to the business users and decision makers. With our experience and data warehouse practices, we can supply business users and stakeholders with the right data at the right time.
Data backed decisions were limited by mixed on-premise and cloud-based data. However, improvements in data warehousing methodologies and technologies have changed how data warehouses are built and utilized.
New developments have contributed to increased efficiency when designing and implementing data warehouses at our clients. We guide and facilitate clients in their data warehousing journey based on their needs. We offer various end-to-end, planning, design, implementation and data visualization solutions with the same end-goal in mind: to empower your business.
Get in touch now to find out how we can empower your organization to get the most out of your Data Warehouse.
