Week 11 Blog Questions: Customer Relationship
Management & Business Intelligence
1. What is
your understanding of CRM?
CRM is a model used to manage a company's interactions with a company's customers and clients. It includes the use of methodologies, software, and the Internet and allows a business to:
CRM is a model used to manage a company's interactions with a company's customers and clients. It includes the use of methodologies, software, and the Internet and allows a business to:
- Understand the customer
- Retain customers through better customer experience
- Attract new customer
- Win new clients and contractsIncrease profitably
- Decrease customer management costs
2. Compare operational and analytical customer relationship
management
Operational CRM: focuses on the transactional processing for the day-to-day front office operations. It also deals directly with the customers.
Analytical CRM: focuses on the back-office operations and strategic analysis. It includes all systems that do not deal directly with the customers. It is an automated method of processing data about a customer in order to make better business decisions.
Operational CRM: focuses on the transactional processing for the day-to-day front office operations. It also deals directly with the customers.
Analytical CRM: focuses on the back-office operations and strategic analysis. It includes all systems that do not deal directly with the customers. It is an automated method of processing data about a customer in order to make better business decisions.
3. Describe
and differentiate the CRM technologies used by marketing departments and sales
departments
The CRM technologies used by marketing departments are:
List Generator- Compiles all customer data from a range of sources, then segments the information into different areas accordingly.
Campaign Management System- Helps users throughout their marketing campaigns.
Cross-selling & Up-selling- Cross-selling is selling additional products and/or services, whereas up-selling is increasing the value of the sale.
The CRM technologies used by sales departments are:
Sales Force Automation (SFA)- A function that provides data for sales prospects, contact information, product information, product configurations and sales quotes.
Bundling- Is a type of cross-selling In which a vendor sells a combination of products together, offering them at a lower price than the combined costs of the individual products.
The CRM technologies used by marketing departments are:
List Generator- Compiles all customer data from a range of sources, then segments the information into different areas accordingly.
Campaign Management System- Helps users throughout their marketing campaigns.
Cross-selling & Up-selling- Cross-selling is selling additional products and/or services, whereas up-selling is increasing the value of the sale.
The CRM technologies used by sales departments are:
Sales Force Automation (SFA)- A function that provides data for sales prospects, contact information, product information, product configurations and sales quotes.
Bundling- Is a type of cross-selling In which a vendor sells a combination of products together, offering them at a lower price than the combined costs of the individual products.
4. How does CRM help businesses find and retain their most
valuable customers?
Customer relationship management (CRM) helps businesses to gain an insight into the
behaviour of their customers and modify their business operations to ensure that customers
are served in the best possible way.
CRM can be achieved by:
a) finding out about your customers' purchasing habits, opinions and preferences
b) profiling individuals and groups to market more effectively and increase sales
c) changing the way you operate to improve customer service and marketing
A major benefits of finding and retaining the most valuable customers are:
a) enhanced customer satisfaction and retention, ensuring that your good reputation in the marketplace continues to grow
b) increased value from your existing customers and reduced cost associated with supporting and servicing them, increasing your overall efficiency and reducing total cost of sales
c) improved profitability by focusing on the most profitable customers and dealing with the unprofitable in more cost effective ways
5. Describe
business intelligence and its value to businesses
Business intelligence: the technologies and applications used to find, access and analyse
data and information to support decision-making efforts.
Business intelligence is highly values by business becuase it helps companies meet the ever
changing needs of different markets, and helps them stay competitive. It also helps by
creating a single point of access to information for all users, creating systems that stretch
across many organizational departments within a business and allowing everyone access to
up-to-the minute information.
6. Explain
the problem associated with business intelligence. Describe the solution to
this business problem
The problem with business intelligence is that is can be ‘data rich, information poor’.
The data which a business has increases every year. Organisation’s are realizing that they
are generating an abundance of data. From this they can gather some information, but in
order to do that they need to analyse all the data, some of which may be unusable.
Businesses have a lot of data (‘data rich’) and not much information (‘information poor’).
The solution to this business problem is for managers to provide their employees with
business intelligence systems and tools. These will assist the employees in making better,
more informed decisions.
The data which a business has increases every year. Organisation’s are realizing that they
are generating an abundance of data. From this they can gather some information, but in
order to do that they need to analyse all the data, some of which may be unusable.
Businesses have a lot of data (‘data rich’) and not much information (‘information poor’).
The solution to this business problem is for managers to provide their employees with
business intelligence systems and tools. These will assist the employees in making better,
more informed decisions.
7. What are
two possible outcomes a company could get from using data mining
Two possible outcomes a company could get from using data mining are:
Two possible outcomes a company could get from using data mining are:
1. Cluster Analysis: A technique used to divide an information set into mutually exclusive groups that the members of each group are as close together as possible to one another and the different groups are as far apart as possible. It is used to segment customer information for CRM systems. It can also uncover naturally occurring patterns in information.
2. Statistical Analysis: Performs such functions as information correlations, distributions, calculations and variance analysis. It offers knowledge workers a wide range of powerful statistical capabilities so they can quickly build a variety of statistical models, examine the model’s assumptions and validity, and compare and contrast the various models to determine the best one for a particular business issue.
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