{"id":1525,"date":"2023-09-18T07:11:02","date_gmt":"2023-09-17T23:11:02","guid":{"rendered":"https:\/\/digitspark.co\/blog\/%e3%80%90%e8%ae%80%e6%87%82%e6%95%b8%e6%93%9a%e3%80%91%e4%bb%80%e9%ba%bc%e6%98%af%e6%95%b8%e6%93%9a%e7%ae%a1%e7%90%86%ef%bc%9f%e4%bb%a5%e8%a1%8c%e9%8a%b7%e7%94%a2%e6%a5%ad%e7%82%ba%e4%be%8b%ef%bc%8c\/"},"modified":"2025-12-12T10:21:49","modified_gmt":"2025-12-12T02:21:49","slug":"%e3%80%90%e8%ae%80%e6%87%82%e6%95%b8%e6%93%9a%e3%80%91%e4%bb%80%e9%ba%bc%e6%98%af%e6%95%b8%e6%93%9a%e7%ae%a1%e7%90%86%ef%bc%9f%e4%bb%a5%e8%a1%8c%e9%8a%b7%e7%94%a2%e6%a5%ad%e7%82%ba%e4%be%8b%ef%bc%8c","status":"publish","type":"blog","link":"https:\/\/digitspark.co\/en\/blog\/%e3%80%90%e8%ae%80%e6%87%82%e6%95%b8%e6%93%9a%e3%80%91%e4%bb%80%e9%ba%bc%e6%98%af%e6%95%b8%e6%93%9a%e7%ae%a1%e7%90%86%ef%bc%9f%e4%bb%a5%e8%a1%8c%e9%8a%b7%e7%94%a2%e6%a5%ad%e7%82%ba%e4%be%8b%ef%bc%8c\/","title":{"rendered":"[Understanding Data] What is Data Management? Taking the marketing industry as an example, this article briefly introduces the application of data management."},"content":{"rendered":"

#DataMarketing #DataLiteracy #DataManagement<\/span><\/h1>\n

As we’ve previously discussed, both corporate decision-makers and employees should possess ”\u00a0<\/span>data literacy<\/span><\/a>\u00a0.” We’ve also explained why improving data literacy can significantly benefit both internal operations and external development performance. Data helps businesses develop more refined collaboration plans tailored to different clients, and it can improve internal collaboration efficiency and risk management.<\/span><\/p>\n

We can say that data is a weapon, and having data literacy is equivalent to having this weapon; as for “how to use” this weapon, that is a professional methodology:\u00a0<\/span>“data management”<\/span><\/strong>\u00a0.<\/span><\/p>\n

Data management: A set of methods for organizing “how to use data”.<\/span><\/h2>\n

What is data management? In practical terms, data management can be defined as:<\/p>\n

A company decides on a set of methods for “how to collect data, how to classify and differentiate data, and how to analyze and extract relevant and applicable data based on various objectives”.<\/p><\/blockquote>\n

There is no single, definitive method; rather, it depends on each company’s own goals, market positioning, available resources, and profit-making strategies. Companies should invest resources, and some even establish dedicated teams for data management. This will help everyone within the company effectively\u00a0<\/span>collect, define, store, organize, protect, and analyze<\/span><\/strong>\u00a0data, ensuring that data collection is targeted and that the data is subsequently used appropriately and to its best potential.<\/span><\/p>\n

\"\u6578\u64da\u7d20\u990a<\/p>\n

How to establish a company’s “data management blueprint”? The first step is to clarify the data.<\/span><\/h2>\n

Based on the insights offered by Dr. Zhang Ronggui,<\/span><\/a>\u00a0Executive Director of the Software Industry Association\u00a0, we should first consider both “data preparation” and “data contextualization.” Since\u00a0<\/span>data is collected for a reason or because of a need<\/span><\/strong>\u00a0, we must also consider “why we are collecting it,” in addition to the data itself, to avoid blindly consuming information and failing to digest it, thus distorting the company’s decision-making goals.<\/span><\/p>\n