CRM Customer Relationship Management Business intelligence Customer experience management Sales force management system Customer Service

Customer Relationship Management
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CRM (Customer Relationship Managemant)
Several commercial CRM software packages are available which vary in their approach to CRM. However, CRM is not just a technology, but rather a holistic approach to an organization's philosophy in dealing with its customers. This includes policies and processes, front-of-house customer service, employee training, marketing, systems and information management. CRM therefore also needs to consider broader organizational requirements. A company's CRM strategy is dependent on both the company’s current situation and the needs and expectations of its customers.

Customer relationship management software is defined as business management and automation of the front-office divisions of an organization. CRM software is essentially meant to address the needs of Marketing, Sales and Distribution, and Customer Service and Support divisions within an organization and allow the three to share data on prospects, customers, partners, competitors and employees. The purpose of CRM software is to manage the customer through the entire lifecycle, i.e. from prospect to qualified opportunity to order.

CRM software automates many of the needs of Marketing, Sales and Support users, such as Telephony, or the ability to conduct phone calls and manage call data, and tools to capture, share and manage automated alerts on lead data as it passes through the sales pipeline. CRM software provides a standard framework for pushing leads through a sales pipeline and managing it amongst many stakeholders in real time, in order to provide better customer relations and grow revenues by creating more sales, and losing fewer customers.

Operational CRM
Operational CRM provides support to "front office" business processes, including sales, marketing and service. Each interaction with a customer is generally added to a customer's contact history, and staff can retrieve information on customers from the database as necessary. Focus on customers value is key to a successful CRM strategy. Different customers have to be treated differently. Variables like customers ranking, actual value and potential value are strategy drivers.

Collaborative CRM
Collaborative CRM covers the direct interaction with customers. This can include a variety of channels, such as internet, email, or automated phone answering system. It can generally be equated with “self service”. The objectives of Collaborative CRM can be broad, including cost reduction and service improvements. Many organizations are searching for new ways to use customer intimacy to gain and retain a competitive advantage. Collaborative CRM provides a comprehensive view of the customer, with various departments pooling customer data from different sales and communication channels. Driven by authors from the Harvard Business School (Kracklauer/Mills/Seifert), Collaborative CRM seems to be the new paradigm to succeed the leading Efficient Consumer Response and Category Management concept in the industry/trade relationship. Collaborative CRM also includes Partner Relationship Management (PRM) which enables organizations to manage their relationships with partners (consultants, resellers and distributors), and potentially the customers of those partners.

Analytical CRM
Analytical CRM analyzes customer data for a variety of purposes, including:

  • design and execution of targeted marketing campaigns to optimize marketing effectiveness
  • management decisions, e.g. financial forecasting and customer profitability analysis
  • risk assessment and fraud detular for credit card transactions
  • design and execution of specific customer campaigns, including customer acquisition, cross-selling, up-selling, retention
  • analysis of customer behavior to aid product and service decision making (eg pricing, new product development, etc)
  • Analytical CRM generally makes heavy use of Predictive analytics.


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Customer experience management
Sales force management system
CRM

Customer experience management Customer Relationship Management Business intelligence CRM Sales force management system Customer Service