What Does SlamData Do For Healthcare Companies? An Interview with Jeff Carr, CEO and Co-Founder

What Does SlamData Do For Healthcare Companies?

Chris Dima
Chris Dima Marketing
An interview with Jeff Carr: "...we have a number of clients, today, they are able to ingest messy data from a variety of sources into a data base like MongoDB, or Couchbase, or MarkLogic and then use SlamData to immediately get insights and value from that data."


Jeff Carr, SlamData CEO.

The following is a transcript of the the video above:

Jeff Carr:

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So, another popular use case that we’re seeing for our switch data is healthcare analytics. Healthcare, as we all know, is a huge economy in and of itself. There’s massive amounts of data and information coming from systems ranging from 30 and 40 year old IT systems… to modern SaaS products that provide data for health care to new IOT health care devices.

I mean, there’s just data coming from, sort of, every different direction. And, for these healthcare providers. Being able to get analytics across that, sort of, very heterogeneous, messy data landscape is really hard. And, what’s been determined… What people have realized is that combining all those different data sources into these flexible schema modern databases, like MongoDB or Couchbase, is really easy to do.

Unfortunately, prior to us, you still had the problem of having to do the analytics. And that was a challenge. And we’ve made that much easier. So, we have a number of clients, today, they are able to ingest messy data from a variety of sources into a database like MongoDB, or Couchbase, or MarkLogic and then use SlamData to immediately get insights and value from that data. In a matter of minutes, without spending days and days doing custom coding. Or, having to go through expensive infrastructure projects, and things like that.

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What Our Customers Are Saying

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We use SlamData to build custom reports and have found the tool is exceptionally easy to use and very powerful. We recently needed to engage the support team and we were very pleased with the turn-around time and the quality of support that we received.

Troy Thompson
Director of Software Engineering
Intermap Technologies, Inc.

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When our company migrated from SQL database to MongoDB, all our query tools became obsolete. SlamData saved the day! I was able to easily write SQL2 queries. Plus the sharing, charting, and interactive reports were a game changer.

Michael Melmed
VP, Ops and Strategy
US Mobile

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Slamdata helped shine the light on how our new product was being used. The support staff was awesome and we saved engineering cycles in building all the analytics in-house. I am using it to change the mindset in the teams and shift the focus from product launches to product landings

Engineering Lead
Cisco Systems

WHITEPAPER

The Characteristics of NoSQL Analytics Systems

  • The Nature of NoSQL Data
    • APIs
    • NoSQL Databases
    • Big Data
    • A Generic Data Model for NoSQL
  • Approaches to NoSQL Analytics
    • Coding & ETL
    • Hadoop
    • Real-Time Analytics
    • Relational Model Virtualization
    • First-Class NoSQL Analytics
  • Characteristics of NoSQL Analytics Systems
    • Generic Data Model
    • Isomorphic Data Model
    • Multi-Dimensionality
    • Unified Schema/Data
    • Post-Relational
    • Polymorphic Queries
    • Dynamic Type Discovery & Conversion
    • Structural Patterns

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SlamData Provides Missing Platform for NoSQL Data Insight

This case study documents the return on investment, performance enhancements, and efficiency gains experienced by US Mobile resulting from its SlamData implementation. 
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The study was conducted by Constellation Research and published on June 25, 2017.
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