Augmenting and Enriching Data Sets for Analytics Value
Date: June 29, 2017
As BI and analytics become more mainstream, organizations are realizing that it makes sense to both enrich and augment their data in order to gain more insight. Successful companies realize that utilizing traditional structured data only for analytics is a non-starter. Organizations are more often adding ‘new’ data sources to the mix, including demographic data, text data, and geospatial data to their data sets. They are also looking for external data, such as social media data, weather data, and other third-party sources. The demand from data consumers has also driven many new organizations to pursue sharing their data. Many of these data sources are cloud-based.
These data can provide better insights in analytics and lift to models. In fact, TDWI research indicates that those organizations that utilize disparate data types are more likely to measure a top or bottom line impact in their analytics efforts vs. those who do not use diverse data. Join this webinar to learn more about how to incorporate ‘new’ data sources into your analytics efforts.
You will learn about:
- How disparate data types can enhance analytics
- How to enrich and augment data for analytics
- How cloud data can be used to augment data sets for analytics
- The easiest way to share data with consumers without onerous technical effort or cost