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什么是数据管理系统?

拉里·伯德说过:“首先,掌握基础知识。”. 你的公司有良好的数据管理基础吗? 

So what are data management principles and best practices that should be applied as a comprehensive system to get the most of your data?

Data is the life blood of a company; it’s what makes the whole enterprise work. But managing the huge amount of data that comes with running a business can be a challenge for even the most organized workplace. So what are data management principles and best practices that should be applied as a comprehensive system to get the most of your data?

这篇文章的目的就是教你这一点. mg官方游戏中心将讨论数据管理的重要性, 系统的类型, 以及如何建立自己的系统或使用 数据管理即服务(DMaaS) 实现你的商业目标.

什么是数据管理系统?

数据管理是最重要的收集实践, 组织, 存储, 访问公司的数据. Your data management systems are all the tools used to make these things happen. These tools include everything from the technical hardware and software you use, 您的数据管理团队收集和使用数据, and external support teams who help you troubleshoot data management platform issues as they arise.

数据管理团队解决数据管理平台问题.

数据管理系统有哪些类型?

Because data management systems are essentially the tool kits used to manage data, there are many different ways these can look across different businesses in different industries. 因为这些系统可以包含如此广泛的工具, it’s useful to separate them into the different aspects of the end-to-end data management process for which they are used.

那么数据管理包括什么呢? 它包括以下数据:

收集

收集

组织

组织

验证

验证

存储

存储

保护

保护

访问

访问

Now let’s look at a data management tools list for some examples of data management systems within each of these categories. Some of these tools may be used for multiple aspects of overall management, 但这可以作为一个有用的框架来介绍它们的主要目的.


数据收集

收集数据是任何数据管理系统的第一步, 因为没有任何数据, 其他的系统都没有可用的东西. 数据收集系统的范围很广,可以包括以下内容:

  • 库存管理工具 

  • 客户满意度调查工具

  • 电子邮件报名表格

  • 人工数据录入平台

数据组织

Sorting and categorizing information as it comes in is the job of the next set of systems. If incoming facts and figures are just left as disparate files in a system, they are of little use since they can’t be easily discovered or accessed by the people who need them. 在过去, a filing cabinet with a folder for each client may have worked as a convenient way of 组织 business data, 但大多数现代公司需要一些更花哨的东西. 这包括:

  • 电子表格

  • 数据库 

  • 大数据管理系统

数据验证

Making sure that the data that’s been collected and organized is correct and categorized accurately is another important part of overall data management. There are a variety of validation checks that can be done on a dataset to ensure accuracy, 包括:

  • 数据类型检查 -确保每个字段包含正确的数据形式, 确保电话号码之类的东西不包含字母

  • 检查范围 - to check that fields that should be within a certain number range stay within it, makes sure a survey response column that should be between 1 and 10 falls within this range

  • 一致性检查 - to look for logic mistakes, makes sure a customer’s birth date isn’t listed as in the future

数据存储

收集你所有的数据, 组织和验证, the next step in your data management system is deciding where to keep this information. 因为数据是公司的命脉, 它需要被安置在安全的地方, 备份, 和可访问. There are many different options for where to store business data that meets these requirements, 如:

  • 云存储

  • 内部服务器

  • 混合解决方案

数据保护

Keeping the data you’ve spent so much time and resources on safe is (or should be) a top priority for businesses. 因为数据容易损坏, 损失, 盗窃, 以及各种形式的网络攻击, 它通常需要多重保护系统. 这些包括:

  • 本地和云备份

  • 加密

  • 选择访问权限

数据访问

使用数据执行日常业务任务, 并制定公司的长期计划, 知道这些信息的意义在哪里. This makes being able to access, analyze, and act on data of utmost importance. 执行这些功能的众多工具包括:

  • 营销自动化工具 —使用客户联系方式, along with behavioral targeting and lead generation information to aid successful marketing efforts.

  • 客户关系管理(CRM)工具 - Empowers sales and CS teams to best serve customers by summarizing customer details like purchases, 反馈, 联系方式.

  • 投资回报跟踪工具 - Allows companies to monitor the effectiveness of marketing strategies and profitability of different lead generation efforts.

数据管理系统的关键要素是什么?

因为管理数据的系统在商业中扮演着如此重要的角色, it’s important to consider what key elements are needed to make these systems as effective as possible. 你应该寻找的一些最重要的方面是:

集成

集成

Facts and figures will come into a business from a range of different sources, 它们需要被证实, 存储, 并且可以通过各种工具访问. Overall, the system you use needs to be able to integrate with your existing tech stack.

合规

合规

Rules and regulations around data 存储 and protection are common in many industries. Your business's data management system needs to ensure you follow the rules, 当被问及或被审计时,你需要能够证明这一点.

可视性

可视性

数据只有在你能看到并理解它的时候才有用, so ideally your system will include one source of truth where you can view all relevant details without needing to switch between many platforms.

易用性

易用性

Team members and customers alike need to be able to use relevant parts of the data management system without difficulty, 否则你就有可能让他们根本不使用它. It should be fast and convenient to enter, edit, search, and find the information they need.

实时的经验

实时的经验

Inputs coming into the system should be able to be monitored as they happen. 这可以让企业在错误或问题发生时发现它们, 使它们更容易快速纠正.

Moser:mg官方游戏中心可以告诉你如何提高数据管理技能

数据管理系统可能是一个挑战. There are a lot of moving parts to consider, but the end result of a good system is worth the effort.

MG游戏登录网页 has been at the forefront of helping our clients get the most out of their technology for over 25 years. We work to become trusted, long-term partners serving your business goals, including data management. 

Data Management as a Service (DMaaS) is a great option for getting the technical support you need to navigate this complex landscape. Moser可以帮上忙, 您是否需要mg官方游戏中心从头开始为您设计系统, 或者只是帮助你使你目前的系统更好地工作!

什么是数据管理系统? 白皮书封面预览

保持联系 today to see data management system examples and learn more about how we can help.

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Since data is becoming increasingly complex and is generated at a higher volume than in the past, data management has become one of the most crucial components of how an organization operates.

根据 Statista,全球数据管理和分析行业将价值274美元.到2022年底,将达到30亿美元. 此外,预计约850亿元由资讯科技服务组成. Many companies across the globe have adopted the data-first corporate approach where data is a strategic asset. It is vital for corporate executives and operators to implement a well-structured data management strategy.

为组织分析数据的员工