Via a database, redundancies can be eliminated, data mining is possible, and data marts and data warehouses can be created. A database allows data to be centralized, eliminating redundant storage of the same data in multiple locations. Data mining extracts useful information from data for purposes like generating sales. Data warehouses are central repositories for mined data to assist with enterprise-wide planning and decision making. Data marts serve specific areas of an organization and combine to form the overall data warehouse.

1. Information Management
Why use a Database

2. Why use a database?
Via a Database the following is possible:
• Eliminate redundancies
• Data Mining
• Data Mart
• Data Warehouse

3. Eliminate Redundancies
• A redundancy in database refers to the existence of the same or similar data
in multiple locations. The occurrence of this leads to more storage
consumption and runs the risk of the database becoming a liability on a
network

4. Data Mining
• Data mining is essentially a harvesting of accessible data, adding perspective
and context and using the created information for various purposes, for
examples, generating sales/revenue etc. Social Media platforms such as
Youtube, Facebook, Instagram etc utilize Data Mining software in order to
provide what they consider to be a “personalized user experience” by
generating recommending user content by utilizing our preferences and
browsing history.

5. Data Warehouse
• Data Warehouse refers to a central repository for mined data. Keeping a Data
Warehouse can assist a lot with planning and decision making at an
enterprise wide level. For example, grocery stores are able to determine when
they should have the bulk of their employees on hand by studying data
outlining the days of greater customer concentration.

6. Data Mart
• Data Marts are also used to further a data driven approach to decision
making. However, a Data Mart serves a specific area in the entity. The
combination of multiple Data Marts form the Data Warehouse. For example,
A school’s School Management System (SMS) is a Database Management
System (DBMS) handling data for all students and teachers in the school
population. This school DBMS would have comprised of data concerning
students grades, classes, contact information, homeroom etc. The various
entities would be considered Data Marts completing the Data Warehouse

7. Data Mart and Data Warehouse

8. The End.