Less Wrangling, More Insights using Data Quality and Location Intelligence with Big Data
“Data wrangling” is transforming raw data into something that can be analyzed by algorithms and data scientists. It is estimated that data scientists spend 50%-80% of their time manually preparing business data for use in analytics. As datasets increase, the need for organizing data and bringing context to data, before attempting analytics, becomes even more essential.
In this webinar we will share how data quality and location analytics are being applied natively in cloud and big data environments to help automate this process, ensure compliance, and provide insight for better decisions.
In this webinar we will discuss real-world examples of where data quality and location analytics can be applied in big data environments to ensure compliance and provide insight for better decisions.
Sharing key use cases, we will discuss:
- How can we organize it at scale?
- How do we bring context to your data?
- What are the steps you need to prepare your data for analysis?