These solutions help you rapidly deploy Microsoft Dynamics™ CRM and realize faster ROI. The analytics frameworks enhance the decision making processes through out-of-the-box KPIs.

SonnetISV

An "out-of-the-box" CRM solution framework for software product TM companies (ISVs), SonnetISV complements Microsoft Dynamics CRM 3.0 by providing an integrated view of customer relationships, along with Defects Management and Product Maintenance features, built around the Sales and Service Modules.
The salient features of SonnetISV include an integrated view of customer relationships, opportunity management, customer self-service portal and integration of customer support processes to product quality automated processes. This value-added framework caters to the needs of customers for faster turnaround of defects and enhanced customer service.

Other salient features include:

• Opportunity Management
  
• Customer self service portal
  
• Integration of customer support processes to product quality automated processes

SonnetITeS

SonnetITeS is Sonata's vertical framework built on Microsoft Dynamics CRM 3.0. This is custom-made to suit the requirements of the ITeS and BPO industry and is highly configurable to accommodate specific business and workflow requirements.

SonnetITeS addresses the critical CRM needs in the service, sales and marketing areas. The solution empowers organizations by providing multi-channel customer interactions, intelligent call routing, activity updating, history tracking, service plan management, customer satisfaction tracking and portal integration. The solution can also provide seamless interfaces with Computer Telephony Integration (CTI) service providers.

SonnetBI for CRM
Sonata's Role based layered Sales, Service and Marketing analyzers offer "out-of-the-box" KPIs leveraging the Dynamics CRM Analytics Foundation, Office 2007, MOSS2007 and Microsoft Office Performance Point Server 2007 to enable business users to make informed choices and hence drive customer-focused business. Sonata's data mining models, built using the Universal Data model, extract information from Dynamics CRM and perform analyses to provide insights into leads, opportunities, customers and service requests across multiple dimensions of geographies, customers, timelines etc. Dashboards powered by Microsoft Performance Point Server 20007 s helps organizations perform tiered, drilled down analysis through various levels of KPIs, allowing executives to go beyond a broad overview of organizational health. In fact it helps them to zero in on specific issues and their potential root causes. This enables swifter decision-making and greater information visibility across the corporate hierarchy.
Analytics based on predictive data mining helps business users prioritize the leads, opportunities etc.

Some of the typical KPIs are:
Procurement Analytics

• Budgeted procurement quantity / actual quantity
  
• Vendor analysis
  - Best vendor analysis on
  lead time, quality and cost
  - Vendor ranking on mean
  cost and mean delivery time
  - Delivery times for particular
  vendors
  - Demand channel analysis
  on quantity and unit price
  
• Budget analysis
  
• Cost breakup analysis
  Production Analytics
  
• Stock management
  
• Bill of materials
  
• Work-in-progress Items
  
• Plant performance
  
• Production targets / actual
  production
  
• Labor efficiency
  
• Capacity utilization
  
• Cost Receipt & Accounting:
  Finished / Work-in-Progress
  
• Issues / Receipts
  
• Rejection analysis
  
• Average waiting lead time for processes
  Promotion Analytics
  
• Marketing costs
  budgeted / actuals
  
• Sales achievements
  targeted / actuals
  
• ROI on Promotions
  
• Short-term effect analysis
  
• Promotion analysis
  - Regions
  - Products
  - Timeframes
  Inventory Analytics
  
• Inventory handling
  costs / budget
  
• inventory carrying costs / budget
  Financial Analytics
  
• Accounts payable /
  Accounts receivable analysis
  
• Track revenues, sales values
  
• ROCE / RONW
  Sales Analytics
  
• Sales and costs analysis
  
• Sales analysis
  - By region
  - By opportunities
  - By products
  - By sales force performance
  
• Sales variance