Author: Maneet Puri

Data management refers to the process of developing data and maintaining its quality by making use of various technological and manual resources. Within a set of predefined policies and procedures, the data architecture is executed and the full data lifecycle is managed efficiently.

Here are some key processes followed within data management.

• Database Management System
• Database Administration
• Data Warehousing
• Data modeling
• Data quality assurance
• Data Security
• Data movement
• Data Architectures
• Data analysis
• Data Mining

Database Management System

There are many softwares and programs available on the internet that assists in data management purposes. Some of the popular ones are MS Access, MS SQL, Oracle, MySql, etc. According to the company policy, expertise, administration and the kind of work, one of the programs are chosen and employed for data management procedures.

Database Administration

Data administration takes care of all the procedures and processes within the data management operations. As per the company's policies towards data management, the team of data administrators is designated roles and responsibilities.

Their responsibilities include:

• Database development and security
• Database security
• Database back-ups
• Database integrity and software
• Database performance
• Database availability

Data Warehousing

Warehousing is the process of organizing historical data and storing it appropriately. The raw data is collected from various sources and processes accordingly for the management of query support systems. This is so arranged that analysts can retrieve historical information like trends, stamped data, complex queries and so on. Such reports are used by companies to review their investments and prevailing business trends that can be used to plan ahead.

Data Modeling

It is the process is creating a specific model for the available data by applying the model theory. The data is defined, structured and organized using predefined protocols. Then these structures are employed within the data management system. This actually defines the structure of the data within the database.

Data Quality Assurance

This procedure is implemented in data management processes in order to remove the inconsistencies and errors in databases. Data quality assurance assures that the database contains relevant information. It cleanses the databases and improves the overall quality of the same.

Data Security

Also known as data protection, data security is the system that ensures databases are sake and no one can access control to pollute the inlaying information. Data security has gained all the more significance in the present times n the wake of cases of fraud and cheating. Data security offers privacy and protection to personal data. In many countries and companies, there are specific laws governing data security measures.

Data Movement

This process is more or less related to data warehousing. It involves the extraction, transformation and loading of data into the warehouse.

Data Analysis

Data analysis refers to the process of extracting required information in order to produce conclusion reports. It employs a variety of techniques like statistical analysis, trend spotting, and selection of precise data packs and so on. The existing data model is verified and relevant chunk are extracted out of the lot.

About the Author:
Maneet Puri is the managing director of LeXolution IT Services, a reputed offshore outsourcing firm that caters to clients from across the globe. It provides a range of service including data entry, data processing and data management services .

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