Augmenting and Enriching Data Sets for Analytics Value

June 30, 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.

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Macadamian

Macadamian is creating the future of healthcare. We are a full-service UX and software design and development consultancy that specializes in creating digital and connected healthcare experiences. As leaders in user-centered software design and development for over 20 years, we know where the technology has been and that gives us clear insight into where it’s going and what it can do. We build on our experiences in consumer applications and complex domains like aviation, telecommunications, and financial services to craft thoughtful and intelligent digital solutions that will spark the greatest advances in population health.

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