3. Internal Record Systems is a system under
which marketing information is
stored, retrieved.
Marketing managers relay on internal reports
on orders, sales, prices, costs, inventory
levels, receivables, payables, and so on. By
analyzing this information, they can spot
important opportunities and problems.
4. The heart of the internal records system is the order-
to-payment cycle.
Sales representatives,dealers, and customers dispatch
orders to the firm.
The sales department prepares invoices and transmits
copies to various departments.
Out-of-stock items are back ordered.
Shipped items are accompanied by shipping and
billing documents that are sent to various
departments.
5.
6. Now days improved order payment cycle is
required .
Customers favour firms that can promise timely
delivery.
Order-Pay can also be done online. This process is
called as EDI-Electronic Data Interface.
E.G.,
7. Marketing managers need up-to-the-minute
reports on current sales.
Armed with laptop, computers, sales
representives can access information about
prospects and customers and provide
immediate feedback and sales reports.
8. Eg : An ad for Sales CTRL, a sales force automation
software package, boasts, “Your salesperson in St.
Louis knows what Customer Service in Chicago told
their customer in Atlanta this morning.
Sales managers can monitor everything in their
territories and get current sales forecasts any
time.”Sales force automation (SFA) software has come
a long way.
9. A database is an organized collection of data.
The data is typically organized to model relevant
aspects of reality in a way that supports processes
requiring this information .
Today company organise their information in
databases such as customer databases,product
databases,sales person data bases and combinedata
from different databases.
10. Data warehouse means where all the databases are
kept.
Data warehouses store current as well as
historical data.
Company warehouse these data and make
them easily accessible to decision makers.
11. The the data mining process is to extract
information from a data set and transform it
into an understandable structure for further
use.