Data Management

What Is Data Management? Strategies for Success

Data management is the process of gathering, arranging, and gaining access to data in order to facilitate efficiency, productivity, and decision-making.

Bangladesh, a country of more than 160 million people, has substantial data needs in the fields of healthcare, education, manufacturing, and agriculture.

Our country is a developing nation and a large proportion of its organization is data-driven. So the importance of data protection can not be overstated. 

In this essay, we will explore the fundamentals of data management while delving into the data management tools and techniques in detail. 

Continue reading to learn more about data management. 

Data Management In Bangladesh- Quick SummaryData management is becoming more and more important in Bangladesh for development. For well-informed decision-making, resource allocation, and policy formation, effective data management is essential. As strong data protection measures are required to secure sensitive corporate and personal data, data privacy and security are also growing in importance in Bangladesh. Bangladesh’s ability to successfully collect and manage data will be crucial to the country’s socio-economic growth and governance as it continues to embrace digital transformation.

The Fundamentals of Data Management 

A few fundamental concepts are involved in data management. Depending on the company and the kind of data they handle, some of them could be more important than others. The guiding ideas are:

  • Generating, gaining access to, and routinely updating data on several data levels
  • Storing information in several clouds as well as on-site
  • High availability and quick catastrophe recovery are also provided.
  • Using data in a growing range of applications, analytics, and algorithms
  • Ensuring efficient data security and privacy
  • Following set retention timeframes and compliance rules while archiving and deleting data. 

Life Cycle of Data

The data lifecycle encompasses many stages. From the birth of data to its deletion there is a journey in between each data. 

Data creation means the invention of data. From the birth of data till its very end, it demands a proper storage system. Storing the data in a secure and safe place is also important. 

Then comes data processing. Both data processing and analysis are the core of data utilization. Lastly, data hygiene is maintained by data deletion and archiving, which guarantees the preservation of important historical data.

Data Management Tools and Technologies 

Data management needs proper tools and technologies to carry out its whole life cycle effectively. 

These tools enable companies to make well-informed decisions by meeting certain demands and objectives. 

Here’s a quick rundown of the data management tools from the giants: 

  1. Oracle Data Management Suite 

An all-inclusive platform that provides a range of tools to help users create, implement, and oversee data-driven initiatives.

It does this by distributing authoritative, unified master data throughout an organization and supplying it to all operational and analytical applications.

  1. SAP Data Management 

It’s an integrated technological platform that combines on-premise and cloud-based solutions to provide a single point of access for all data—transactional, analytical, structured, and unstructured. 

  1. Microsoft Master Data Services 

It’s a platform that comes with a number of services that let users handle the master collection of data for an organization.

Models may be used to organize data, rules can be created to update the data, and access controls can be included to limit who can edit the data.

It lets customers create MDM systems with SQL Server database technology as the foundation for back-end processing. 

4 Best Data Management Practices 

  1. Data Discovery Layer

Use a discovery layer to effectively manage the data in your company. It makes it easier to find important information in your data infrastructure. 

  1. Data Science Environment

Establish a data science environment to make the process of reusing data more efficient. Automation tools make testing and analysis easier by doing away with the requirement for manual data transformation. The pathway from data to insight is accelerated in this context. 

  1. Autonomous Technology

Use AI and machine learning to maintain performance over expanding datasets. These technologies improve indexes and continually monitor database queries. You may guarantee quick performance without human involvement by automating this procedure. 

  1. Compliance Through Discovery

Use data discovery technologies to stay ahead of regulatory obligations. They support data detection, tracking, and monitoring throughout your company, guaranteeing you adhere to evolving regulations.

Frequently Asked Questions

Why Is Data Management Crucial For Bangladeshi Businesses?

For organizations in Bangladesh, data management is essential since it facilitates informed decision-making, regulatory compliance, and increased operational effectiveness. It makes it possible for businesses to use data for customer service and competitive advantage.

What Are The Main Obstacles That Bangladeshi Enterprises Must Overcome In Order To Manage Data?

In Bangladesh, organizations frequently struggle with issues of data security, inadequate IT infrastructure, and guaranteeing data quality. Additionally, it can be quite difficult to adjust to changing data privacy laws.


We live in a data-driven era where protecting data has become one of our key responsibilities and challenges. 

In Bangladesh, it’s common to face cyber attacks, hacking, and cyber crimes of that sort on a regular everyday basis. To protect, store, and analyze the data effectively, every organization therefore must adopt some data management tools and policies. 

We have shared and discovered the tools and techniques that can be used to secure data. You can also implement the best practices from the list. 

Also, you can always contact Sentry Security Service for a secure data management system.

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