Lessons Learned from the 2020 U.S. Census
The outcomes of the Census reinforce our beliefs that accurate data depends on appropriate data tools, timing and the target audience.
Tools
The data collection method used should be appropriate to the type of data collected and the target audience. Even with time-tested tools, data accuracy relies heavily on timing and the target audience.
Timing
Start with a data collection mindset. Build in processes and tools that can scale up or down with your organization. For large companies, that means using Azure and AWS to build platforms and developing analytical models that collect, parse, and store data on an ongoing basis. For small organizations like Levvitate, it means using surveys and conversations to gather feedback, regularly analyzing web analytics data
Target Audience
The U.S. Census data is only as accurate as the American residents and citizens make it. Incomplete or incorrect data input will result in incomplete data output. Translation: bad data in = bad information out.
The Census Bureau ensures data quality in through their process:
- • the online questionnaire has prompts built in to help people respond completely and accurately.
- • The quality of the census takers’ work is checked.
- • As numbers are added up, the Bureau checks to make sure they were processed correctly and that they make sense by comparing them to other data.
Ensuring Data Quality
What can you do to ensure that you are affecting the collection of “good” data? Having a process, using the right tools, allowing the necessary time and understanding your target audience are essential, as are monitoring and taking the appropriate actions.
Making adjustments are necessary if the tools, timing or misunderstanding about the target audience becomes apparent. For example, if hiring or lending selection tools are consistently favoring one category (i.e., race, gender, locale, age) of applicants over another, despite similar characteristics that would otherwise make them equal (education, experience areas), then the people, the analysts and programmers need to be monitoring for this behavior and correcting it.
Concerns about the quality of your data? Maybe we can assist. Contact Levvitate us for a no-cost consultation. We are happy to offer assistance on a pro-bono basis for nonprofit organizations.