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Maintain data standards: data standards are necessary to ensure that subsequent analyses run smoothly. Inconsistent data quality means data analyses can fail or give inaccurate results.
Gives you a bird’s-eye view of your data pipeline: through observing the data quality, you can supervise the operations of your data pipeline, ensuring it works smoothly.
Gives you confidence in your data: if you know that your data meets the standards, you can trust it and use it for subsequent analysis and decision-making.
Quickly identify technical issues: one sign of technical issues in your platforms is the sudden degradation of data quality. Monitoring it will allow you to quickly resolve technical issues before it becomes a problem for your business
Helps you make decisions: as it helps you track your data pipeline, it allows you to make decisions to improve or upgrade it whenever needed.
Here are some of the metrics that you should include:
Data accuracy: measures how your data matches with the actual results
Data completeness: quantifies how complete the data is; often measured by counting the number of null data entries and then comparing it with the total number of data entries that enter the database
Data consistency: how good your data from one sources matches with another source that describes the same information
Data privacy and security: determines how secure the sensitive data is by keeping track of the users who have access to it
Data timeliness: describes how up--to-date the newest data entering the database is
After creating an account in Lido, you need to do two steps to create a dashboard:
Several platforms you use such as Facebook Ads, Google Analytics, Salesforce, and Shopify can be directly integrated to Lido without the need for third-party apps and codes.
Click Data on the upper-left corner of Lido to select the source.
Follow the instructions on entering access info and selecting the data columns to import in the Dataset Editor. Once you have finished selecting your data, click Save dataset & edit view in the top right corner. The data is now loaded to your Lido spreadsheet.
Set up the KPI formulas. Lido functions are similar to that of Google Sheets, so you can apply to Lido what you have learned in our tutorials.
After loading the data, click the Dashboard on the top of the Lido spreadsheet, then click the Components tab on the right side. Drag-and-drop components and add data to them.
Once you have finished constructing your report, click Preview on the upper-right corner to see how it will look once deployed.
Click Share to share your report with others!
