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Developing a Data-Driven Application with Damaged Data and Anomalies

Edward V. Weber
May 1, 2017
North America
Strategy & General Management
7 pages
Project management, Information Technology, data science, system analysis and design, performance learning project
Student Price: 
$4.00 (€3.7)
Average rating: 

The beauty of the data-driven application is that the data already exists! There should be no need for data entry, data validation, or for the storing of new data. Data-driven applications are ideal for exploring and presenting data in a meaningful way to the end user. But what happens when the data is either incomplete or has inaccuracies? Can the application be developed when one discovers there are deficiencies in the underlying data? This case explores a real-world application which ran into this exact scenario. Discover how one systems analysis and design class and one web programming class responded to these data, organizational, and hierarchical systems issues. This case is most appropriate

Learning Outcomes: 
  1. Identify the characteristics of a data-driven application including prerequisites (e.g. complete and valid data) and outcome objectives (e.g. little to no required system or data maintenance)
  2. Identify known facts vs. assumptions affecting the application's design
  3. Review the concept of “scope creep” and ways to identify and mitigate its impact
  4. Utilize critical thinking skills to analyze issues that are still missing or insufficiently defined within the scenario (i.e. what is still unknown?)
  5. Synthesize and develop recommendations to address how some issues can be solved (partially and/or temporarily) by the design of the data-driven application vs. those that will require eventual business rule or procedural resolution (permanent solutions)