December 06, 2016
Turning Meaningless Data into Meaningful Data
Your entire life is based on data. Things like the person you marry, your job, where you send your children to school, your doctor, and the type of car you drive, all depend on data.
Good data gets us to a specific destination. It answers questions for us. Dirty data leaves us confused.
Data presentation, actionable data, and business context are vital to the success of your data decisions.
Let's Play a Game
Take a look at the pie chart. (Click on the chart to see it larger.) Answer the following questions:
- Which team has the most championships?
- Which team has the second most championships?
- Which team has the fewest championships
Now, take a look at the bar chart and answer the following questions. Note: the answers are not the same as before.
- Which team has the most championships?
- Which team has the second most championships?
- Which team has the fewest championships?
The pie chart is confusing isn’t it? Some of the slices look like they’re the same size. However, you can look at the bar chart and instantly know which team has the most championships. The bar chart is stacked neatly from high to low.
Here are the answers:
Pie Chart
Most: Seahawks
Second Most: Patriots
Fewest: Falcons
Bar Chart
Most: Rams
Second Most: Falcons
Fewest: Seahawks
Lessons Learned
What does this simple test show us about data and how it’s represented?
Lesson 1: Presentation Matters
First, it shows us that presenting data is just as important as the data itself.
Lesson 2: Base Your Visualization on Your Goals
The second lesson we learn is that data visualization is useful for:
- Comparing values
- Showing the composition of something
- Understanding distribution
- Analyzing trends in a data set
- Seeing relationships between value sets
Think about your role and the different ways you use data every day. You might even use data and not realize it. Maybe you work with content on your website, or you work at a call center, or in community affairs, on different projects, or maybe work in IT.
Regardless of your role, data visualization can help you answer questions and make better business decision.
For example, data visualization can help you:
- Compare website traffic
- Evaluate agency peak call volume times
- Spot a housing or a financial crisis before it hits
- Improve resource planning for your projects
- Determine risk and exposure trends
This is the power of data visualization. It helps us see what our brains cannot. Our brains spot shapes and patterns. Data visualization gives us information so we can digest it and act on it.
Lesson 3: Context Changes Everything
The third lesson we learn is that data visualization needs business context to work. Otherwise, it’s garbage.
Here are some points to keep in mind when evaluating your data:
- Seek to inform and not to persuade.
When your data informs it allows the end-user to bring their questions to the forefront. Persuasive data rigs the data to a more favorable position. This can be seen as dishonest. A car salesman does not inform. Rather, he persuades to improve his personal commission. - Every data point has a value attached to it, but the patterns and trends are what matter most.
Focus on the trends and the patterns that are depicted in your data. Hold internal discussions to determine what is occurring in the agency. Be careful, though, not to confuse a symptom with a root cause. - Always assume there is an error in your data
Cautiously approach your data. Look for errors throughout the data cleansing and migration process. Review the results again once your data of combining data.
Example: Boston is correct. CA is correct. Boston, CA is inaccurate.
Good Data Is:
- Technically accessible
- Legally accessible
- Action-oriented: decision, conclusion, exclusion
- Number based: raw, percentage, dollar
- Maintained
- Shared – internally or externally
Why Do We Care About Data?
Your data is valuable and it deserves to be seen. Good data drives good decisions. This means data stops hiding inside of a spreadsheet and data is shared. Choose to share your data internally, with other agencies, or with those you serve. Interested? Open a ticket and let’s start the data conversation.