Embedding Logi Speeds Development by Months
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Logi Analytics
Tech Stack
- Embedded Analytics
- Self-Service Data Product
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
- Revenue Growth
Technology Category
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Data Visualization
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Business Operation
Services
- Software Design & Engineering Services
- System Integration
About The Customer
The customer is an American non-profit that operates in the medical sector. Its flagship product is a self-service application that analyzes data from individual healthcare practices and combines it with industry-standard benchmark data to surface relevant insights to help practices operate more smoothly and improve patient care. The organization partnered with Logi Analytics to improve the development of its flagship data management and analytics solution. The deal allowed the organization to eliminate its consulting budget and bring the product to market four months sooner than was otherwise possible and thus allowed the company to capture additional profits. Additionally, the modular design of Logi enabled developers to handle bug or feature requests to completion in days rather than weeks.
The Challenge
Before implementing Logi Analytics, the in-house IT team was constantly working through a queue of customer requests for fixes and improvements to the customer-facing analytics product. The company hired an outside consulting firm to help ease this workload, but it still took weeks to address critical issues outside of the annual release window and was too expensive to continue employing. The company needed a more financially sustainable solution that would allow them to innovate faster. The company needed an embeddable analytics solution that was cost-effective and supported iterative development and innovation for future improvements. It had to be highly usable self-service data product so customers would to be able to learn to use it without extensive training. Logi Analytics met all these criteria and the partnership enabled the company to offer a revamped licensing structure which helped the company to expand its overall reach.
The Solution
The contract was signed with Logi in August 2010 and was delivered live to the customer base on February 20, 2011. The implementation was handled by an internal team of two, a senior business intelligence manager and a business intelligence analyst, dedicating 100 percent of their time for the six-month period before go-live. After deployment, the same two-person team was responsible for supporting the solution and dedicated approximately 30 percent of their time to the role on an ongoing basis. The company initially trained a contingent of 30 users in one demo session. Key benefit areas seen as a result of the Logi Analytics deployment included: cost savings from eliminating a consulting spend, increased profits from bringing the data analytics product to market sooner, and increased developer productivity from Logi elemental design.
Operational Impact
Quantitative Benefit
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