What is Big Data Management? Why Is it Important?

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Written By Haissam Abdul Malak

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Businesses are dealing with a barrage of data which requires a lot of their time and attention. Big data management becomes more difficult as the volume increases, and it can be quite costly to keep up with increasing growth.

Big data management is a process that involves the collection, storage and analysis of large amounts of data. It is often used by organizations to extract insights from the data in order to make decisions that are more accurate and make better business decisions.

Big data management necessitates an enterprise strategy as well as dependable techniques for accessing, integrating, governing, storing, and preparing collected data for analytics.

The importance of big data management is that it can assure the accuracy, accessibility, and availability of data to be processed and analyzed in order to make better, more informed business decisions and get deep insights into customer behavior, trends, and opportunities.

Big data management

Organizations use this data for a variety of purposes such as improving customer service, marketing, fraud detection and supply chain management.

It can be done by different people in different ways. For example, data scientists use it to collect and analyze information from large datasets. In contrast, business analysts use it to collect and organize information from various sources.

The importance of big data management has increased with the availability of more sophisticated technology tools which can handle large amounts of information. Businesses are doing their best to stay up to date with big data trends to gain competitive edge.

An example is using an enterprise analytics tool to collect all company’s internal data and then analyze it for insights about customer behavior or potential opportunities.

In short, it is the procedure companies use to manage, control, protect, access, store, and maintain data sources. It starts with complete control of the cycle, from data capture to storage.

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What is the importance of big data management?

The importance of big data management is that it provides businesses with a competitive edge in the digital age. It enables them to understand their customers better and provide them with more personalized services.

Some of the benefits of effective big data management include better decision making, better customer relationship management, increased productivity, and better data analytics.

The benefits of effective big data management are:

1- Visibility

One of the most important big data management benefits is the ability to have complete visibility over your data storage.

Effective management of big data will raise the visibility of your organization’s digital data assets. Employees may be certain that data will be at their fingertips when they need it.

2- Improves decision making


The importance of big data management is that it can improve decision-making in a number of ways. First, it can provide accurate and up-to-date information about the current state of a system or big data management process. This information can be used to identify trends and patterns that may not be immediately apparent.

Second, It can help to identify and track key performance indicators. These indicators can be used to measure progress and identify areas where improvements need to be made.

Finally, it can help to create a historical record of decisions that have been made in the past. This record can be used to help inform future decision-making.

3- Eliminates redundancy


There are a number of ways that master data management can eliminate redundancy, such as:

1. Implementing a data governance framework: data governance will help ensure that only one version of the truth exists by defining roles and responsibilities, setting up data processing and procedures, and establishing controls.

2. Cleaning up: This includes deduplicating, standardizing, and classifying master data to ensure that there is only one version of each record.

3. Enforcing data quality: This ensures that data is accurate and consistent by setting up validation rules and monitoring data for errors.

4. Managing metadata: This helps to ensure that data is properly organized and easy to find by creating a metadata repository and defining standards for naming and classifying data.

5. Data automation: This can help to further reduce redundancy by automating tasks such as data cleansing, data quality checking, and data transformation.

4- Minimizes data loss

This is considered among the top big data management benefits that organizations can leverage.

An effective approach is ensuring that all data sources are available when needed and that backups are performed on a regular basis in order to restore it in the event of an emergency.

Big data management tools help reduce data loss by allowing users to keep an accurate record of their data and its whereabouts. This ensures that important information is not lost. The best part is, that many of these tools are available for free.

5- Improves compliance with regulatory requirements

Managing big data can improve compliance with regulatory requirements by ensuring that it is accurate, complete, and timely. It can also improve compliance by providing visibility into data and by providing tools to help identify and correct errors.

6- Improves organizational efficiency

Improving business efficiency is one of the top benefits of good big data management.

Managing big data can improve organizational efficiency by reducing the amount of time spent searching for data, improving data quality, and making data more accessible to employees.

Organizations nowadays are looking for different ways to improve business efficiency in order to decrease costs and be agile. It can play a big role in turning organizations into data-driven organizations.

7- Improves data security

Data security can be improved by ensuring that data is properly backed up and by providing access control to data. Additionally, it can help to identify and track data breaches so that they can be quickly addressed.

This can be improved through different actions including:

– Data backup and recovery: This is an important process that should be implemented to ensure the security of data. It also helps in reducing the risk of an organization’s data loss due to unexpected events like natural disasters or hardware failure. It also helps in maintaining long-term storage for historical records and compliance purposes.

– Data encryption: Encryption is a method used to protect sensitive information from unauthorized access, misuse, or disclosure. Encryption helps in securing information from cybercriminals as well as from internal threats like disgruntled employees and hackers who may have access to the company’s network.

One way to improve data privacy is by using big data management tools such as databases and encryption. These tools can help you organize your data in an efficient way, allowing you to better protect it from malicious attacks.

9- Reliability

Employees may be certain that data is always available and of good quality thanks to regulations. Companies can adapt to market changes and client requirements more effectively if they have trustworthy, up-to-date data.

Big data management software gives you the ability to store and organize your data, making it easy to find when you need it. They can help increase reliability by saving time searching for lost files.

What are the 3 types of big data?

The 3 types of big data are transactional, behavioral, and contextual.

Transactional data is information about transactions between a company and its customers. Behavioral data is information about customer behavior such as the time spent on a website or the number of clicks on an advertisement. Contextual data is information about the environment around a customer such as weather or location.

Conclusion

Understanding how big data management works and how businesses can put up the most effective policies and procedures to get the most out of it and applying best practices is the key to unlocking the potential of data as a driver for organizational success.

source: Microsoft PowerPoint – DAMA DMBOK2 (dama-dk.org)

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