In today’s world, everything is available at the tip of our fingertips. Current events, the latest fashion trend, a cooking recipe, and everything else can be found on your phone but are all these information reliable? Quantity does not equate quality. When retrieving data, facts are necessary. So how do you assess the information you receive?

A Data Quality Control Plan is essential. Data Quality helps a business in a variety of ways. A business depends mainly on data when making decisions. Data collected from a plethora of sources. When the data collected is inaccurate that can lead to disastrous business decisions. This is where Data Quality comes in, it evaluates the quality of your data, to make informed decisions and help your business grow in the right direction.

Making your Data Quality Control Plan will be easy as taking a bath if you would utilize the available resources that you can see online. Sample Templates gives your free, customizable and competent Data Quality Control Plan that could help you in your Control Plan needs. All you need to do is to browse through the templates presented below and choose the one that you think matches up your needs and your preferences.

10+ Data Quality Control Plan Samples

1. Data Quality Control Plan Template

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  • MS Word
  • Google Docs
  • Pages

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2. Inventory Data Quality Control Plan

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  • PDF

Size: 302 KB

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3. Data Management Quality Control Plan

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  • PDF

Size: 621 KB

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4. Data Analysis Quality Control Plan

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  • PDF

Size: 265 KB

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5. Data Quality Assurance Control Plan

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  • PDF

Size: 2 MB

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6. Data Management Quality Assurance Control Plan

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  • PDF

Size: 1 MB

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7. Audit Data Quality Control Plan

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  • PDF

Size: 233 KB

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8. Data Exchange Quality Control Plan

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  • PDF

Size: 1 MB

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9. Data Reduction Quality Control Plan

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  • PDF

Size: 123 KB

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10. Sample Data Quality Control Plan

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  • PDF

Size: 148 KB

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11. Data Monitoring Quality Control Plan

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  • PDF

Size: 306 KB

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Data Quality Control

Effective data management includes data checking and data review, the steps that are involved in this process must also be checked to ensure the accuracy of the details that were involved in making this. Creating a plan for how to review the data before it is collected or compiled allows a researcher to think systematically about the types of inaccuracies, data failure and any other problems they are likely to encounter in a given data set. When processed into data and metadata, these documented quality control procedures help provide a documented, historical and complete picture of what has been worked on and what are the improvements made as a result of what was taken as the error. A helpful approach to documenting data checking and review (often called Quality Assurance, Quality Control, or QA/QC) is to list the actions taken to evaluate the data, how decisions were made regarding problem resolution, and what actions were taken to resolve the problems at each step in the data life cycle. Quality control and assurance should include:

  • determining how to identify potentially erroneous data
  • how to deal with erroneous data
  • how problematic data will be marked

FAQs

What is data quality plan?

Data quality planning is the process of defining the business goals, objectives, specific initiatives, and sustained activities to improve data integrity, accuracy, and trustworthiness. The data quality plan has a simple purpose – support focused, strategic thinking.

What is in a Quality Control Plan?

A quality control plan will identify the organization or individuals responsible for quality control and the specific procedures used to ensure delivery of a quality product. A quality control plan will also detail quality assurance measures and the method of accountability and required documentation.

What do you mean by Quality Control?

Quality control (QC) is a process through which a business seeks to ensure that product quality is maintained or improved. Quality control involves testing units and determining if they are within the specifications for the final product.

The long process of making your Data Quality Control Plan is a long, tedious, meticulous way. Concretizing it in an organized manner could not only help you provide quality on the plan but also gives you enough information on the processes involved and have undergone throughout the whole data project. Availing the resources available online especially in Sample Templates could help you achieve your Control Plan goals.

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