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Staffan Hedbrandh

CEO

+46(0)707 - 81 97 23
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Lundatech is a SaaS company with offices in Malmö and Uppsala

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+46(0)707 - 81 97 23
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Staffan-1

 

Staffan Hedbrandh

CEO

+46(0)707 - 81 97 23
Maila Staffan

11

Lundatech är ett SaaS bolag med kontor i Malmö och Uppsala

Kontakta oss gärna för att höra hur vi kan hjälpa er med integrationer (nya som gamla), rapportering, budget & prognos.

+46(0)707 - 81 97 23
info@lundatech.com

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1 min read

What is data quality? Part 1

What is data quality? Part 1

How do we ensure our data quality?

It is an ever-present point of discussion in many companies, regardless of department or duties. Data quality can be evaluated based on a number of parameters.

  • Accessible
  • Relevant
  • Comparable
  • Valid
  • Accuracy
  • Completeness
  • Reliablity
  • Consistency
  • Current

The purpose of this series in five parts is to increase the understanding of these, but also to give a picture of how these can be improved.

 

Accuracy

The first dimension we focus on is data accuracy, or correctness in Swedish. Accuracy is a measure of how correct the information is. Inaccuracies in the information can come from incorrect input data or simply missing data. Below are examples of activities to raise data accuracy to a level that is acceptable:

Process control

  1. Ensure that those working in the process understand the importance of accurate data and how inaccuracies affect operations further down the chain.
  2. In the face of clear controllable routines in the process, perform random tests to ensure that it meets the data quality requested.
  3. For processes that involve a lot of manual work and are time-consuming, RPA (Robotic Process Automation) can be an effective support for increasing accuracy in data quality.


Job descriptions

Develop clear job descriptions for personnel who work with data in the business. Training the staff in the handling of the systems that are used on a daily basis is an effective way to improve data accuracy.

Master Data Check

Carry out automatic checks of important data points, for example: as amount range, format, list of allowed values and more. Checks can also be done manually but this is very time consuming and introduces new sources of error and person dependency. Time that can be spent on developing the business instead.

 

Does your business have routines for this today? Or do you have other ways to ensure that your data is correct?

 


 

Are you curious to learn how Business Cloud iPaaS can help your company with integrations and data quality? Contact me below or book a demo and I'll tell you more.

  

Staffan       

 

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Staffan Hedbrandh, CEO 

What is data quality? Part 3

What is data quality? Part 3

How do we ensure our data quality? This is an ever-present point of discussion in many companies, regardless of department or duties. The quality of...

Read More
What is data quality? Part 5

What is data quality? Part 5

How do we ensure our data quality? This is an ever-present point of discussion in many companies, regardless of department or duties. The quality of...

Read More