Adapting Quickly to Data Quality Challenges in the Real-World
Location
Jacqueline Vito LoRusso Alumni and Visitor Center
Start Date
11-2-2018 11:00 AM
End Date
11-2-2018 11:45 AM
Description
Today’s diverse data landscape poses some real challenges for data professionals. How do you prepare yourself for these challenges? Let’s start by reviewing some of these challenges and the impact they have on the organization. Then, we will examine some of the approaches that can be taken to solve those challenges.
This presentation will highlight useful solutions for real-world problems.
- Data Quality Life Cycle: a best practice approach
- Data Discovery Methods (data profiling and metadata discovery)
- Data Quality Correction (data improvement)
- Data Quality Monitoring
- Collaboration (communication, data standards, glossary, workflow, data lineage, business rules)
Adapting Quickly to Data Quality Challenges in the Real-World
Jacqueline Vito LoRusso Alumni and Visitor Center
Today’s diverse data landscape poses some real challenges for data professionals. How do you prepare yourself for these challenges? Let’s start by reviewing some of these challenges and the impact they have on the organization. Then, we will examine some of the approaches that can be taken to solve those challenges.
This presentation will highlight useful solutions for real-world problems.
- Data Quality Life Cycle: a best practice approach
- Data Discovery Methods (data profiling and metadata discovery)
- Data Quality Correction (data improvement)
- Data Quality Monitoring
- Collaboration (communication, data standards, glossary, workflow, data lineage, business rules)
Archival Statement
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