Encoding Data? Here's Why Your Role Is Significant.

Encoding Data? Here's Why Your Role Is Significant.

JG Summit Digital Transformation Office (DTO) JG Summit Digital Transformation Office (DTO)

JG Summit Digital Transformation Office (DTO)

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发布日期: 2024年4月26日
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Does your role involve encoding data? If yes, then what you do builds the foundation for reliable analysis!???

Data-driven decision making begins with clean data.? Typos, misspellings, and incorrect data format during manual encoding are examples of unreliable data.? Other examples of dirty data include different abbreviations or formats for the same information.? Not collecting relevant data can affect decision making as well.???

Data-driven decision making begins with clean data.
With dirty data, you might end up looking at two separate items (Example: “Brand X color red" and “Brand X red”) when they are just one and the same.


Reliable data begins at the time the data is collected and encoded.??

That step is significant because without clean data, businesses can face these consequences:?

1) Wasted efforts?

Inaccurate information can lead to:?

  • Marketing to the wrong audience due to incorrect customer data?
  • Sending duplicate communications due to data inconsistencies?
  • Ordering the wrong amount based on inaccurate inventory?

An example of dirty data is the use of different abbreviations or formats for the same information. What do you think is the effect on the business? Image from dataedo.com.
An example of dirty data is the use of different abbreviations or formats for the same information. What do you think is the effect on the business? Image from


2) Hampered productivity?

When employees spend significant time cleaning up and verifying data before it can be used for decision making, it slows down work and hinders productivity.?

Cleaning bad data can take up time and slow down your productivity. Image from https://www.business2community.com/marketing/much-dirty-data-costing-01241847
Cleaning bad data can take up time and slow down your productivity. Image from


3) Missed opportunities?

When data or trends are not visible to decision makers, it can lead to missed opportunities for growth and innovation.?

This is what happens when the wrong data goes to the wrong column. Image from dataedo.com.
This is what happens when the wrong data goes to the wrong column. Image from


Encoding the data you collect is no mundane task.? It’s crucial for providing the basis for sound decision making.? The next time you’re about to encode, remember how you are contributing to the business leaders’ decision making!

#GrowWithUsAtDTO #dataquality?#dataintegrity #datadriven #dataanalytics?


ManyMangoes ??

10 个月

Great insight on the crucial role of data handling! To elevate data strategy and avoid common pitfalls, why not explore the potential of progressive multivariate testing, diving beyond the A/B testing model to implement A/B/C/D/E/F/G testing for more nuanced, rich insights?

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