The Data Friction Cost Calculator
What is the true cost of data friction?
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Data FRICTION is costing you
* not including the time to manage the project or the medication to control your constant headaches
Total Hours
Total Fees
| Type | Title | Description | Quantity | Unit Cost (for licenses) | Hours per Item | Total Hours | Total Cost for Item (in $) |
|---|---|---|---|---|---|---|---|
| FEE - Licensing | The software to make the visualizations | e.g. Tableau per user ($70/user/mo) | |||||
| FEE - Licensing | The ETL software | e.g. Alteryx - 3 yr subscription pricing. $4,000 is per user price per year | |||||
| LABOR - ETL | Build connectors to data source | Create processes which will connect the charting software to the data source(s) | |||||
| LABOR - ETL | Perform transformations | Transform the data into an analytic ready state for charting | |||||
| LABOR - UI | Create dashboards | Create the dasboard pages which will contain your analytics | |||||
| LABOR - UI | Create dimensions | Create the dimensions by which measurement can be examined | |||||
| LABOR - UI | Create filters | Create the filtering to include/exclude data by dimension | |||||
| LABOR - Data Modeling | Create data aggregations | Perform the roll-ups of data so that you can compare to previous yrs , qtrs, etc. | |||||
| LABOR - Data Modeling | Create data model | Build the star/snowflake schema data model for analytic performance | |||||
| LABOR - Data | Build drill-down/across paths | Link analytics together so that users can drill down and across to explore causes | |||||
| LABOR - Security | Build security model | Develop model to ensure that users see only the data they are permitted to access | |||||
| LABOR - Visualization | Create visualizations | Build the visualizations to display the data such as bar charts, line charts, info graphics, etc. | |||||
| LABOR - Visualization | Create reports | Build reports that use the metrics and dimensions to display the data in a tabluar format with rollups, sub-groups, totals, etc. | |||||
| LABOR - QA | Perform QA | Inspect the analytics and all calculations for accuracy | |||||
| LABOR - Management | Build monitoring | Develop the monitoring capabilities so that you can see engagement, performance, load status, failures, etc. across the entire stack | |||||
| LABOR - Training | Train users on new analytics | 1-3 hours of training per user, the costs add up quickly | |||||
| LABOR - Managing adoption | Manage engagement | Track overall user adoption (avg. 30%) and try to get it to Toucan standards (avg. 90%) | |||||
| LABOR - Refactoring | Refactor for mobile | Convert the web-based dashboards to responsive mobile formats. Do for both smartphones AND tablets. |
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