Transcript Databases

Databases
Chapter 9
Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
Interview

Robert S. Bennett
Senior VP Property Systems and Service
Pegasus Solutions
CRM not the same as frequent guest and
loyalty programs
 CRM needs all data available

Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
Interview (cont.)
Data must be up to date
 Data must be readily available to all

Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
1. Introduction
CRM can’t exist without a database
 Databases are playing an ever
increasingly important role in the
information age

Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
2. Database Basics
Flat Files vs. Database
 Types of Databases

 Simple
or Flat
 Hierarchical
 Network
 Relational
 Object Oriented
Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
Database Management Systems
(DBMS)

Key Functions:
 Links
 Storage,
Updating, and Retrieval of Data
 Data Integrity, Security, and Control
 Coordinate Access
 Data Reliability – Backup and Recovery

Logical View vs. Physical View
Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
Customer
Database
Front Office
(PMS)
Name
Address
Job Title
Club Member
Dates of Stay
DBMS
Reservations
(CRS)
Last Stay
# of Stays
Amenities
Charges
Etc.
Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
F&B
(POS)
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
Terminology

Database
 Table of data
 Relational database

Field
 Piece of
 Column

is a series of data tables
information
Record
 All
pieces of information for a particular individual or
observation
 Row
Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
Linking Tables: Keys

Primary Key
 Unique
Identifier
 Composite or Concatenated

Foreign Key
 Primary
Key of Related Table (Connector)
Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
Objectives
Store tremendous amounts of data
 Be able to retrieve and process data
 Simplify data entry (Linking Table)
 Reduce data redundancy

Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
Concepts

Data Extraction
 Structured
Query Language (SQL)
Data Manipulation
 Data Integrity
 File Locks
 “Deadly Embrace” or Deadlock

Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
Storage
Database Server
 Distributed Databases
 Data Warehousing

 Data
Mart
Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
3. Database Usage
Profile
 Data Mining

 Profiling
 Clustering
 Cluster
Mapping
Online Analytical Processing (OLAP)
 Pre-Emptive Measures: Trigger

Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
Customer Relationship
Management (CRM)
All customer touch points
 All staff trained on its importance and
gather data when possible
 Access given when and where appropriate
 Staff is empowered to “react” to data
 Data must be centralized or warehoused

Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
Paradigm Shift
From
To
Mass Market
Mass Customization
Product Focus
Customer Focus
Brand Loyalty
No Loyalty
Satisfaction = Repeat
Satisfaction = Repeat
Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
Challenges
Departmental control (Political)
 Long payback period
 Different technologies
 Expensive

Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
Database Concepts: Microsoft
Access
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Data is Automatically Recorded (Saved)
Design View - Structural Changes
One-to-Many Relationship
Referential Integrity
Form
Query
Report
Macro and Modules
Web (Pages)
Wizard
Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
4. Summary
Databases provide needed structure
 Properly used CRM can indeed increase
revenue
 Disparate databases and the ownership of
the customer data continue to be
problematic for the industry

Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458
Additional Resources
www.darwinmag.com - e-business
www.economist.com -politics and business
Technology Strategies for the Hospitality Industry
Nyheim, McFadden, & Connolly
© 2005 Pearson Education, Inc
Upper Saddle River, New Jersey 07458