Building A Centralized Enterprise Data Warehouse
A large national company with offices spanning the country faced what many organizations experience. Decentralized data environments providing limited control for strategic business decisions. The company’s solution was straightforward: build a centralized enterprise data warehouse.
As with Many Enterprise-Level Initiatives, The Implementation Faced Several Obstacles
- Addressing geographic separation created complex business dynamics
- Selecting the right technologies to support its new BI strategy
- Aligning business functions to operate in an enterprise data environment
- Securing the volume of niche skilled resources to ensure successful implementation
The Allyon Solution
Allyon’s team began by facilitating discovery sessions with the customer to understand the goals of the initiative.
We advised on overall BI strategy and alignment with business goals/objectives, technologies needed to meet business goals and resources needed to meet budget and timeline.
With an understanding of the customer's overall strategy and current state, Allyon recommended technologies that would provide a scalable framework to support its current and future BI strategies/initiatives.
When the company decided on its new hardware and software platform, the resource planning process commenced. Allyon leveraged a vast and highly scalable portfolio of BI resources in key technical roles and worked with the organization to map resource needs. After a resource plan was established, Allyon implemented a resource acquisition program to deliver a cost-effective solution that could acquire the resources the company needed—within budget and on time. Allyon accomplished the company’s initiatives through seamless delivery of Data Warehouse and BI resources, using talent from their national network.
Delivering Great Results
Allyon was able to provide advisory services to help the company navigate the necessary systems while providing highly-skilled resources. Allyon was able to help the customer by:
- Implementing an enterprise data warehouse solution—on time and on budget
- Achieving implementation cost savings by engaging resources on a just-in-time basis
- Driving invaluable business insight from their aggregated data
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