Results and measurements
The outcome of the project will be measured for the service provision and its
benefits for the service users (see below). The expected users of the services
deployed in VILLAGE can be split into two categories:
- intermediate users, namely “SME network management units” exploiting the
service and implementing the service capabilities within their network,
- final end-users (SME) benefiting from the operational CRM service directly
or through their membership into an SME network.
Benefits from the operational CRM service can be measured and quantified.
Using the VILLAGE service can lead to increases in revenue from:
- Reductions in operating costs due to cost sharing
- Higher percentage of cross-selling due to a single point of contact with the
company
- More success in attracting new customers and closing deals faster, through
quicker and more efficient responses to customer leads and customer information
- Simplification of marketing and sales processes by understanding customer
needs
- Better customer service - through improved responsiveness and understanding
that builds customer loyalty and decreases customer "churn"
|
Business Objectives for End-Users |
Indicators |
|
Reduced planning time |
Savings in CRM project planning activities from
15-20% |
Taking account of days, comparison before/after |
|
Consumer response flexibility and quality |
|
Customers interviews, comparison before/after |
|
Integrated business |
Better interaction with suppliers and increased cooperation. Enabling
corporate resources to focus on mission-critical goals |
- Procurement delay and quality
- Partner number |
|
Enterprise CRM velocity |
Proactive planning and collaboration possibilities
(goal: reduce delivery time by 30%). Reduction of pirate software
copying |
Measurement of product delivery time |
|
Profit/cost-optimised planning |
Enhanced profitability through reduced proposal
generation cost by 15%. Predictable costs and low initial investments.
New business models for software distribution. |
Evaluation of financial data |
|
Increased income of orders |
20% increase of the size of order fulfilled
|
Counting of orders per quarter of a year |
|