4 Best Practices for Maintaining Data Integrity

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By following the steps we suggest, if you plan to achieve 100% data integrity, you will be sure to have 100% confidence from your organization.
Maintaining data integrity is an essential component to maximizing the power of your customer and prospect database .

Your data may never be perfect. But it is possible to get close to perfection by making data integrity a priority . To do this, your organization must focus on a few best practices that will help instill confidence in your data. Otherwise, without a proven track record of trustworthy data, you will never have full confidence in the business value of your data.

Your data may never be perfect. But it is possible to get close to perfection by making data integrity a priority . To do this, your organization must focus on a few best practices that will help instill confidence in your data. Otherwise, without a proven track record of trustworthy data, you will never have full confidence in the business value of your data.



Data Integrity and BI: The Strategic Value of Integration



Data integrity should be a requirement at every stage of every linkedin database process . The organization needs to ensure that its data is useful to all stakeholders, all the time.

A first step to knowing if you are on the right path to ensuring data integrity is to start by answering some basic questions:

When data quality issues are discovered in your organization , are you able to react quickly and appropriately?
Does the organization have the appropriate systems, processes, tools, training, controls and monitoring to anticipate and correct problems?
Do you have resources to tackle the problem?
Have these mechanisms been communicated to the rest of the company?


Who owns the data?
There are a number of people within the organization that data integrity relies on to meet its objectives. These are typically:

Business Manager
IT Manager
In larger organizations, however, there are additional people even more intimately connected to data integrity :

Data Steward - Controls the information, including the right to manage and delete data. Is responsible for the data in the source system or system of record. Has an abstract view of the data, focusing on relationships between tables, roles, or structures.