Making Sense of Data Quality Amongst Current Seasonality & Uncertainty

When providing the data to support marketing, it's important to frame and validate its quality based on whether it meets "the six C’s." Is the data clean, complete, correct, comprehensive, chosen well, and calculable?

In our conversation with Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai, we discuss numerous questions many in the industry are asking today including:

1. Why does the expectation for instant data hurt business stakeholders, such as marketers?
2. Which tools help data pass the criteria of the above six C’s?
3. What are the now and near-future issues in data privacy?

More information about Christoper and today’s topics:

1. LinkedIn Profile: https://www.linkedin.com/in/cspenn/
2. Company Website: https://www.trustinsights.ai/

Additional Resources

Cloud Data Retention & Analysis: Unlocking the Power of Your Data

Enterprise Data Architecture: Time to Upgrade?

6 Data Cleansing Strategies For Your Organization

New Report Shares Best Practices for Modern Enterprise Data Management in Multi-Cloud World