Industry

Software

Technologies

WCF-Services | SharePoint 2013 | PHP | AppFabric Cache Server | SQL Server 2012

Client

Our client is a Fortune 500 company that specializes in PC and server software, as well as corporate productivity solutions. They have a strong global presence and provide consulting, infrastructure services, and productivity tools to businesses and individuals, globally.

Challenges

The client faced several key challenges in their estimation process, leading to inefficiencies and inconsistencies. These included:

Inconsistent Estimations: Multiple service providers submitted varying cost and time estimates for the same services.

Lack of Standardization: No structured framework existed to ensure uniformity in estimations.

Delays in Decision-Making: The absence of accurate data made it difficult to finalize deals efficiently.

Resource Planning Issues: Unpredictable pricing and timelines created challenges in allocating resources effectively.

Solution Provided

To address these challenges, we developed an advanced estimation standardization solution that streamlined the client’s workflow. Our solution helped create a structured framework for estimating IT service costs and timelines.

Key features included:

Process Optimization: Establishing a systematic approach to service estimations, reducing inconsistencies.

Standardized Workflow: Ensuring uniform estimations across different service providers to improve accuracy.

Automated Estimation System: Reducing manual errors and improving efficiency.

Centralized Platform: Enabling seamless collaboration between multiple teams involved in infrastructure deployment.

Data-Driven Decision Making: Leveraging historical data and predictive analysis to improve deal estimation accuracy.

Results

Our solution helped the client improve operational efficiency, ensuring that all estimations adhered to a standardized methodology, reducing confusion and enhancing decision-making. By implementing our estimation standardization solution, the client achieved significant improvements, including:

Improved Accuracy: Better cost control and resource allocation.

Enhanced Efficiency: Reduction in manual estimation processes, saving time.

Higher Win Rates: More consistent deal estimates, leading to an increase in successful project bids.

Increased Agility: Faster response times for the sales team in providing reliable estimates.

Optimized Resources: Improved allocation of resources, leading to cost savings and streamlined operations.

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