Top 4 Ethical Questions When It Comes to Integrating and Using Big Data
According to industry experts, there are 10 top sources of Big Data: Social network profiles, Social influencers, Activity-generated data, Software as a Service (SaaS) and cloud applications, Public Data, Hadoop MapReduce application results, Data warehouse appliances, Columnar/NoSQL data sources, Network and in-stream monitoring technologies, and Legacy documents.
In a recent Information Management article Anne Buff an evangelist in the SAS Best Practices organization takes a thoughtful walk through data’s ethical minefield and presents 4 issues companies are facing along with an additional 4 tactics to help them avoid triggering an explosion.
The quick crib notes for the top 4 Challenges:
- Morals influence values.
- Values influence behavior
- Ethics are the reflection of the decisions and actions we make based on our values
- Data is ethically neutral