#研究分享#【员工的数据管理】

#研究分享#【员工的数据管理】当今商业世界中丰富的数据为大多数公司创造了一个拥挤的数字空间,所有类型的日志,消息,仪表板,报告,警报和文件都会造成混淆,使员工很难快速找到他们正在寻找的确切信息。数据治理计划可以按照以下来处理:①基于公司的战略目标定位,选择工作进行自动化管理;②做好用户流动性的管理,提供良好的用户体验;③为了实现结果的最大化,数据治理计划必须在设计时考虑到敏捷性和灵活性;④实现非侵入式数据治理,以确保专业人员拥有有效工作所需的数据,而不会增加访问该信息的管理障碍。

Data governance for employees

Data governance for employees

The abundance of data in today’s business world has created a crowded digital space for most companies. Logs, messages, dashboards, reports, alerts and files of all types create confusion, making it difficult for employees to quickly find the exact information they’re looking for.

Data governance programs can help mitigate this confusion, by centralizing and labeling all files, as well as ensuring that all information has been cleansed to ensure high quality. Intelligent data governance also ensures the security of a company’s information — often aligning the organization’s policies and rules with industry regulations and compliance guidelines.

However, while it’s critical to manage and protect corporate information, data governance initiatives also need to enable easy access for the employees who need this data in their everyday jobs. In today’s complex, connected business environment, it can be challenging to achieve this careful balance of data security and easy information access.

Automation: Defining and Applying Customized Rules

One of the chief strategies for maintaining this balance is relying on automated solutions created specifically for the task of data governance. Once rules have been defined — for tagging files, for establishing security protocols and for enabling end-user access — automated technology solutions can apply these rules universally. This makes it easy to manage even large volumes of data and large numbers of users quickly and cost-effectively.

While many executives perceive data governance as a labor-intensive, time-consuming, expensive effort, the truth is that automated solutions greatly simplify this critical task. Employees still need to lead the effort to establish rules and policies that honor both corporate priorities and regulatory/compliance needs. But, once these data management processes and procedures have been defined, advanced software can take over the job of implementing them across the organization’s data.

Because each company operates with its own strategic goals and regulatory constraints, today’s software solutions support a high level of customization for data governance. For example, employees working in the US may be held to entirely different data security standards than staff members in other regions of the world — and geo-coding details can be added to each file to reflect those differences, based on where each user is located.

Managing the Problem of User Mobility

In addition to having employees scattered around the world, today most businesses have a large number of employees working remotely, whether from the road or a home office. These mobile employees are accessing information on a wide range of devices.

Mobile access to data increases employee productivity, but also introduces a new set of issues. Data managers must account for the problem of “shadow IT,” which means end users are finding, installing and utilizing their own technology solutions on an array of official and non-official devices. Employees also may be adding new, unstructured information to existing corporate data centers.

Intelligent data governance means that organizations must maintain visibility into, and control over, all corporate information, no matter where it resides. Again, automated technology solutions can support this effort, by constantly identifying and managing new information across all users and all technology nodes.

Keeping Up with Changing Times

Not only are employees on the move — but legal standards, corporate policies and top-level business strategies are also constantly shifting over time. To deliver optimal results and maximize the value of all corporate information, data governance programs must be designed with agility and flexibility in mind.

Instead of making a series of manual fixes as conditions change, organizations can rely on automated tools to streamline and accelerate this process. A single change made by a data administrator can quickly ensure that all files are brought up to date. Some data might increase in importance, some data might be eliminated, or user access might be prohibited for some files, based on internal or external changes.

Enabling Non-Invasive Data Governance

While the concept of data governance may seem daunting to organizations unfamiliar with it, managing and securing information can actually be accomplished in a non-invasive, low-maintenance manner. In today’s competitive environment, employee productivity is key — and intelligent data governance works behind the scenes to ensure that professionals have the data they need to work effectively, without adding more administrative hurdles to accessing that information.

Because corporate data often contains personal information about customers, intellectual property or other sensitive details, it’s necessary to create some standards and protocols for managing employee access. However, by defining and communicating the reasons behind their policies — then enacting these policies in a completely non-invasive way — it’s possible for organizations to balance their own data governance needs with the end-user freedoms demanded by their employees.

Scott Baker is Senior Director of Emerging Business and Data Intelligence at Hitachi Vantara

原文作者:Scott Baker

原文链接:https://www.networksasia.net/article/data-governance-employees.1554173466

原文来源:https://www.networksasia.net/


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