Encoding Data? Here's Why Your Role Is Significant.
JG Summit Digital Transformation Office (DTO)
Building better choices for customers | Enhancing experiences of partners and employees | Learning together
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.
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:
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.
3) Missed opportunities
When data or trends are not visible to decision makers, it can lead to missed opportunities for growth and innovation.
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
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?