Business Value Diagnostic Tool for CRM Investment Quantification
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Solution Overview
Problem
Traditional value diagnostic tools for businesses fail to accurately quantify the value of CRM system investments and do not provide qualitative recommendations on how to capture this value, as they primarily focus on vendor software capabilities rather than organizational importance and success levels.
Innovation Solution
A diagnostic tool that receives user-specified information on business challenges, identifies relevant business processes, and recommends these processes along with strategic and functional best practices to address these challenges, providing a roadmap for implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional value diagnostic tools quantify value estimates based on vendor software capabilities, then the assessment is straightforward and vendor-centric, but it fails to account for organizational importance and existing success levels, leading to inaccurate value quantification
Solution Approach 1:
The patent transforms the assessment from a single-dimension vendor-capability model to a multi-parameter model that incorporates organizational importance weights and existing success levels. This allows accurate value estimation by considering multiple factors: the importance of business processes to the organization and the current achievement level in those areas, rather than relying solely on vendor software capabilities
Solution Approach 2:
The assessment model is segmented into distinct components: vendor capability assessment, organizational importance evaluation, and existing success level measurement. Each component is evaluated separately and then integrated to produce a comprehensive value estimate, allowing for more precise and nuanced assessment
2Ease of operation
If traditional value diagnostic tools provide only quantitative value estimates, then the output is simple and easy to understand, but it fails to provide qualitative recommendations on how to capture the value
Solution Approach 1:
The patent merges quantitative value estimation with qualitative implementation recommendations into a single integrated output. The system not only calculates the potential business value but also provides actionable recommendations on how to achieve that value, combining numerical assessment with strategic guidance
Solution Approach 2:
The patent introduces best practice recommendations as an intermediary between the value estimation and implementation. These recommendations serve as a bridge, translating the quantitative value potential into concrete actionable steps that organizations can follow to capture the estimated value
Data Source
AI summary
User-specified information pertaining to business challenges of an organization is received, and one or more predefined business processes that address the business challenges of the organization are identified. Further, the one or more predefined business processes are recommended to a user. In one embodiment, the user is provided with recommendations on best practices addressing the business challenges of the organization.