... child copies the whole data
structure into its namespace, and this data structure is not shared anymore.
Sharing Data Between Various Handlers
Sometimes you want to set some data in one of the early ... set some data in a
TransHandler
and you want the
PerlHandler
to be able to access it as well.
Example 18-1. Book/Cache.pm
package Book::Cache;
%Book::Cache: :DATA = get _data( );
sub get _data {
... this data is available for them all via a
simple inclusion of the module in the handler’s code:
use Book::Cache ( );
$foo = $Book::Cache: :DATA{ bar};
Be careful, though, when accessing this data. ...
... solution
to the problem of missing data, in the initial data set.
KEYWORDS: Rule-Induction Data Mining, Customer Satisfaction Measurement, Multicriteria
Analysis
INTRODUCTION
Customer Satisfaction research ... New
Clusters
Separation of Data Set
(training and test set)
Filling the
empty cells
MUSAFinal Analysis
Is the Data Set
Complete?
Yes
No
Selection of complete
questionnaires
CUSTOMER SATISFACTION USING DATA MINING
TECHNIQUES
Nikolaos ... best specific needs of
existing or potential customers.
To reinforce customer orientation on a day-to-day basis, a growing number of companies choose
customer satisfaction as their main performance...
... solution
to the problem of missing data, in the initial data set.
KEYWORDS: Rule-Induction Data Mining, Customer Satisfaction Measurement, Multicriteria
Analysis
INTRODUCTION
Customer Satisfaction research ... one search for patterns of information in data (Parsaye, 1997).
Figure 2: Rule Induction process
Data mining techniques are based on data retention and data distillation. Rule induction models ... BASED DATA MINING TECHNIQUES
The objective of data mining is to extract valuable information from one’s data, to discover the ‘hidden
gold’. In Decision Support Management terminology, data mining...
...
measurement of customer satisfaction within the
international fast food industry
Cross-cultural investigation of fast food industry
Examines various approaches for measurement of
customer satisfaction
... environment: use of
customer satisfaction measures to improve
organisational performance
sophisticated indices assess the quality of service of
large multi-product companies, industries ...
measurement of customer satisfaction
development of a simpler and user friendly method to access
the satisfaction construct
performance only approach is more satisfactory method for
measuring customer...
... understand NPV calculations.
•
Computation of Customer Profitability
•
Past Customer Value of a customer
Where i = number representing the customer, r = applicable discount rate
n = number ... LTV = lifetime value of an individual customer i in $, S =
Sales to customer i, DC = direct cost of products purchased by
customer i, MC = marketing cost of customer i
t
T
1t
ititit
1
1
MCDCSLTV
∑
=
δ+
−−=
... Does not consider whether a customer is going to be active in the future.
Also does not incorporate the expected cost of maintaining the customer in the future
Past Customer Value
∑
=
+=
N
1n
n
in
)r1(*GC
...
... Computers per
customer per period
B
Share of category
requirement for
ABC computers per
customer per period
B/A
Customer 1
100 20 .20
Customer 2
1000 200 .20
Customer 3
1000 500 .25
Customer ... 2005
RFM Method 1
•
Example:
–
Customer base: 400,000 customers
–
Sample size: 40,000 customers
–
Firm’s marketing mailer campaign: $150 discount coupon
–
Response rate: 808 customers (2.02%)
Recency ... Monetary Value-applied on historical data
•
Recency -how long it has been since a customer last placed an order
with the company
•
Frequency-how often a customer orders from the company in a...
... of
Enterprise Data Warehouse
Collect Enterprise Information
Requirements
Create Very High Level Enterprise
Data Warehouse Logical Data Model
Finalize MIS data mart logical data
model
Define data warehouse
Implementation ... the Data Warehouse will contained enough information to enable
enhancement/replacement of the CustomerData Warehouse with necessary relationships and possible branches
into Data marts for data ... of Data Stores:
1. Data Warehouse for atomic level information
2. Data marts serving the needs of specific work groups and processes as required
3. ODS or Operational Data Store to support data...
...
obligation and expenditure data
will be recorded and traced back to
CS/MH allocation data and
(2) assess the effectiveness of
existing communication methods
for sharing global health best ...
conferences in Washington, D.C.
To examine USAID’s methods for sharing best practices, we reviewed
USAID policies and documents and analyzed data from our two surveys.
To familiarize ourselves with ... financial data compiled and generated by
USAID’s Office of the Controller in Washington, D.C., and by the missions
in our four field countries. We determined that the survey and financial
data...
... Reporting Customer Payment Data: Impact on Customer Payment Behavior and Furnisher Costs and Benets
44
VIII. Customer Survey
e ultimate goal for data furnishers when deciding
to report payment data ... Challenges
Source: PERC 2008 Data Furnisher’s Survey Responses
PERC March 2009
17
And for companies that do report their customers’
payment data, they can inform their customers
that they are permitted ... Data Furnisher’s Survey Responses
Credit Reporting Customer Payment Data: Impact on Customer Payment Behavior and Furnisher Costs and Benets
34
Additionally, Nicor Gas has beneted from a
customer...
... 555
Free Text 556
Binary Data (Audio, Image, Etc.) 557
Data for Data Mining 557
Constructing the Customer Signature 558
Cataloging the Data 559
Identifying the Customer 560
First Attempt ... nature of the data mining task,
the nature of the available data, and the skills and preferences of the data
miner.
Data mining comes in two flavors—directed and undirected. Directed data
mining ... longer-lasting customers.
470643 c01.qxd 3/8/04 11:08 AM Page 5
5 Why and What Is Data Mining?
many companies gather hundreds of gigabytes or terabytes of data from and
about their customers without...
... quantities of
data faster and faster. The large databases being compiled include
genomic databases, microarray-based gene-expression databases,
proteomics databases, large-scale databases for ... 2003
http://books.nap.edu/catalog/.html
34
SHARING PUBLICATION-RELATED DATA AND MATERIALS
principle for sharing integral data and materials expeditiously
(UPSIDE),” as follows:
Community standards for sharing publication-related data ... cutting-edge data and scientific findings. If there
is no competing public effort that will make the same data public
eventually, it is not realistic to think that companies will disclose data
without...
... However, customer
satisfaction and service quality are defined collectively as the ultimate goal for a firm is
customer retention or customer loyalty. Customer loyalty is the willingness of customers ... Internet -based customer
service, driven by the customer and integrated with related organizational customer
support processes and technologies with the goal of strengthening the customer- service ... value to customers: (a)
operational excellence, (b) customer intimacy, or (c) product leadership. The most
challenging of the aforementioned value disciplines is based on the idea of customer...