{"id":11894,"date":"2022-12-10T15:32:00","date_gmt":"2022-12-10T23:32:00","guid":{"rendered":"https:\/\/www.qad.com\/blog\/?p=11894"},"modified":"2024-07-09T16:58:40","modified_gmt":"2024-07-09T23:58:40","slug":"data-management","status":"publish","type":"post","link":"https:\/\/www.qad.com\/blog\/2022\/12\/data-management","title":{"rendered":"Data Management"},"content":{"rendered":"

All you need to know about data management<\/span><\/p>\n

Data Management Challenges<\/b><\/h2>\n

Big Data is an expression you\u2019ve heard before. The various information systems, business applications and other standard tools thanks to digitalization are full of information and data. Data is everywhere, all the time.<\/span><\/p>\n

The challenge today is to know how to collect it, gather it, and organize it to get real benefits. Data must be used to make the right decision in order to improve efficiency and performance: this is data management. The data must be accurate, easily accessible and easily exploitable.<\/span><\/p>\n

Finally, it must be RGPD compatible with increasingly strict regulations to preserve the security and confidentiality of each of us.<\/span><\/p>\n

Data Management Follows 4 key steps:<\/b><\/h2>\n

Data Governance<\/b><\/h3>\n

This governance must give the strategy and the global policy of the company. In particular, it provides a framework for the collection and use of data. This is an essential step to guarantee data security, integrity and the company\u2019s image.<\/span><\/p>\n

Data Integration<\/b><\/h3>\n

This step consists of deciding how to collect the data and where to place it so that it is accessible to the right person at the right time. Data integration must also include the quality of the data: how to ensure the reliability and accuracy of the data.<\/span><\/p>\n

Data Exploitation<\/b><\/h3>\n

What tools and methods are used to ensure that the data is exploitable and for what purpose? This step can include machine learning and AI to start an analytical phase of the data.<\/span><\/p>\n

Data Security<\/b><\/h3>\n

What processes and systems are in place to ensure the protection of the data against internal threats (destruction, corruption\u2026) and external threats (theft, hackers etc.)?<\/span><\/p>\n

Which Tools For Data Management?<\/b><\/h2>\n

To carry out these steps, specific tools enable the collection and proper use of data:<\/span><\/p>\n

Data Storage Tools<\/b><\/h3>\n

These solutions appeared as the volume of data to be stored became important and exponential. Most often in the cloud, these solutions allow to gather data in a secure and reliable place.<\/span><\/p>\n

Data Integration Tools<\/b><\/h3>\n

Data integration tools (ETL – Extract, Transform, Load) are solutions that allow you to build bridges between the place where the data is stored and where it will be used.<\/span><\/p>\n

Data Transformation Tools<\/b><\/h3>\n

These tools will help you customize the data according to your objectives and the use you will make of it. They will enable you to format the data to facilitate your exploitation. We are talking about Master Data Management (MDM) tools, Dataviz or analytics tools.<\/span><\/p>\n

Data Mining Tools<\/b><\/h3>\n

These are analytical tools, based on often complex and sophisticated algorithms that allow you to categorize, analyze, find correlations, common points and even make predictions in order to make business decisions.<\/span><\/p>\n

What Are The Benefits Of Data Management?<\/b><\/h2>\n