Data analysis is a practice in which raw data is ordered and organized so that useful information can be extracted from it. The process of organizing and thinking about data is key to understanding what the data does and does not contain. There are a variety of ways in which people can approach data analysis, and it is notoriously easy to manipulate data during the analysis phase to push certain conclusions or agendas. For this reason, it is important to pay attention when data analysis is presented, and to think critically about the data and the conclusions which were drawn.
Raw data can take a variety of forms, including measurements, survey responses, and observations. In its raw form, this information can be incredibly useful, but also overwhelming. Over the course of the data analysis process, the raw data is ordered in a way which will be useful.

MIS or Management Information System is a system used by most organizations worldwide for transforming data into useful information for better decision making. It helps management make better plans and carefully organize business operations.
Management information system is used for generating reports including inventory status reports, financial statements, performance reports etc. These reports are essential for analyzing different aspects of business. These reports also help to answer 'what-if' questions like what would be the effect on cash flows of a company if the credit term is changed for its customers etc.
MIS reports also support decision making and it helps to integrate the decision maker and the quantitative model being used. These reports allow managers to make decisions for smooth & successful operation of businesses.

Database marketing is a form of direct marketing using databases of customers or potential customers to generate personalized communications in order to promote a product or service for marketing purposes. The method of communication can be any addressable medium, as in direct marketing.

The distinction between direct and database marketing stems primarily from the attention paid to the analysis of data. Database marketing emphasizes the use of statistical techniques to develop models of customer behavior, which are then used to select customers for communications. As a consequence, database marketers also tend to be heavy users of data warehouses, because having a greater amount of data about customers increases the likelihood that a more accurate model can be built.

The "database" is usually name, address, and transaction history details from internal sales or delivery systems, or a bought-in compiled "list" from another organization, which has captured that information from its customers. Typical sources of compiled lists are charity donation forms, application forms for any free product or contest, product warranty cards, subscription forms, and credit application forms.

The communications generated by database marketing may be described as junk mail or spam, if it is unwanted by the addressee. Direct and database marketing organizations, on the other hand, argue that a targeted letter or e-mail to a customer, who wants to be contacted about offerings that may interest the customer, benefits both the customer and the marketer.

Data entry is an exclusive and highly recognized process of entering data from scanned images or physical documents into computers or a spreadsheet in order to get information into a database. This is usually typed manually with the help of a keyboard or speech to text software.

Data Mining is gradually becoming a popular concept, as a business management tool, where large amount of data and picking out relevant information is expected to reveal knowledge structures that can guide decisions in conditions of narrow certainty. It involves exploring business transactions and financial analysis, but is more often being used in the science and mathematical fields to extract information from huge data generated by modern experimental and observational methods. Data mining software can also help retail companies find customers with common interests. Data mining can be done manually by cutting and dicing the data until a pattern becomes clear.

Number crunching refers to any computing operation that requires a large number of arithmetic operations (adding, subtracting, multiplying and dividing). The term Number crunching is sometimes used in a more generic sense to describe those activities within a process which require calculation and analysis of large amounts of data, for example in forecasting or performance analysis.