3. Better data integration.
Wider access to well-managed data promotes an integrated view of the organization’s
operations and a clearer view of the big picture. It becomes much easier to see how actions in
one segment of the company affect other segments.
4. Minimized data inconsistency.
Data inconsistency exists when different versions of the same data appear in different places. For
example, data inconsistency exists when a company’s sales department stores a sales representative’s
name as ―Bill Brown‖ and the company’s personnel department stores that same person’s name as
―William G. Brown,‖ or when the company’s regional sales office shows the price of a product as
$45.95 and its national sales office shows the same product’s price as $43.95. The probability of data
inconsistency is greatly reduced in a properly designed database.
5. Improved data access.
The DBMS makes it possible to produce quick answers to ad hoc queries. From a database
perspective, a query is a specific request issued to the DBMS for data manipulation—for
example, to read or update the data. Simply put, a query is a question, and an ad hoc query is a
spur-of-the-moment question. The DBMS sends back an answer (called the query result set) to
the application. For example, end users, when dealing with large amounts of sales data, might
want quick answers to questions (ad hoc queries) such as:
– What was the dollar volume of sales by product during the past six months?
– What is the sales bonus figure for each of our salespeople during the past three months?
– How many of our customers have credit balances of $3,000 or more?
6.Improved decision making.
Better-managed data and improved data access make it possible to generate better-quality
information, on which better decisions are based. The quality of the information generated
depends on the quality of the underlying data. Data quality is a comprehensive approach to
promoting the accuracy, validity, and timeliness of the data. While the DBMS does not
guarantee data quality, it provides a framework to facilitate data quality initiatives.
7.Increased end-user productivity.
The availability of data, combined with the tools that transform data into usable information,
empowers end users to make quick, informed decisions that can make the difference between
success and failure in the global economy.