Proof of Concept & Discovery Phase for Data Analytics Platform

July 6, 2017

The client is a large, healthcare-­‐focused strategic media planning and buying group of several agencies. The group offers media planning for different channels by analyzing existing data available within each agency. They wanted to develop an analytics platform to improve executive decision-­‐making across the agency.

To help our client be strategic about creating such a platform, we engaged in a Proof of Concept (POC) and Discovery Phase to do the following: (1) identify how feasible it would be to use existing agency data to effectively analyze and measure performance and trends, and (2) understand and document the business and technical requirements for developing an analytics platform.

Business Benefits:

  • We recommended a big data-­‐based solution with a clear path for execution. This approach will help our client do the following:
  • Attain business vision of scalability, maintainability and sustenance
  • Manage data traits like volume, variety and historical data persistence
  • Accommodate the future vision of predictive modeling, taking into account the growth of data volume

Engagement Deliverables


Key Highlights:

Proof of Concept (2 months with 2 resources)

During this phase, we performed following activities:

  • Defined success criteria for POC
  • Extracted data from multiple data sources
  • Cleaned up data and ingested it into the data warehouse
  • Classified data as qualitative and quantitative
  • Validated data integration business rules to secure and isolate data access
  • Performed data analysis across agencies (brands) and created custom reports

Discovery Phase (6 weeks with 1 onsite and 2 offshore resources)

  • Gathered and documented key business and technical requirements
  • Understood different stakeholders’ visions and business goals
  • Identified data sources for the analytics platform’s data warehouse
  • Examined and determined expected data volumes and the type of data to be analyzed
  • Defined a recommended solution based on the aforementioned activities
  • Defined the recommended technology stack

Proposed Technologies

  • Kafka Connect, Kafka (with Zookeeper), Cassandra, Spark (with Mesos), Ubuntu, Tableau, Scala, Python, Java

Learn more about data analytics, Please visit:


iHealth – Patient Monitoring using Realtime Data Analytics on SMACK

June 2, 2017
SMACK – Patient Monitoring using Realtime Data Analytics  on SMACK (Spark – Mesos – Apache – Cassadra – Kafka) of how OFS helps healthcare providers and their vendors to deliver innovative digital solutions that improve patient care.

Great Beer and a SMACK-ing Demo of Real-time Data Analytics in the Cloud

February 10, 2017



Do you hear buzzwords like “SMACK” and see data analytics become a trending topic, but you’re still wondering how either of these things can help your software get to the next level?

Join ObjectFrontier and Heroku engineers at STATS in Atlanta for great beer, great food, and a demonstration of how SMACK (Spark, Mesos, Akka, Cassandra and Kafka) can help you harness the power of your data.

  • Meet the challenges and limitations of implementing SMACK
  • Follow best practices while adopting a SMACK stack
  • Identify and validate the application areas for SMACK
  • Go beyond SMACK – Extend the SMACK solution

You’ll also have the chance to walk away from our event with an Amazon Echo or Amazon Tap!


Not many companies understand how to unlock the integrated power of SMACK to meet the surging demand for cloud-enabled analytics, but you could be one of the few who does. 

 Meet our SMACK industry experts to discuss how to build data-streaming and machine learning/predictive analytics solutions faster, so you can roll them out in a shorter time-to-market.

So join us and our team as we share our solutions and knowledge with you over some great beer and food.

For Register :


SMACK (Spark, Mesos, Akka, Cassandra and Kafka) is a concise toolbox for a wide variety of data processing scenarios. It’s battle-tested and includes widely used software with large communities or populations. SMACK provides easy scalability and replication of data while preserving low latencies, unified cluster management for heterogeneous loads, and a single platform for any kind of application. SMACK is an implementation platform for different architecture designs and facilitates a faster time-to-market (e.g. verification solutions such as MVPs).

 About ObjectFrontier

Headquartered in Atlanta, OFS helps leading Fortune 1000 companies create transformative, commercial-grade software products and mobile digital solutions.More than 500 full-time OFS technical leaders serve today’s biggest and best in Media, Healthcare, Security, Finance, and Telecommunications. We pride ourselves in our relentless pursuit of demonstrably different software engineering, particularly within the confluence of cloud, data analytics, user experience and mobility. Founded in 1997, OFS heritage is serving independent software vendors with architecting cloud-based, multi-tenant, multi-geographic, and multi-lingual software products. A specialist with scale, OFS delivers unprecedented insight, intelligence and solutions to today’s most extraordinary and innovative companies. Learn more about us at


Are there ID or minimum age requirements to enter the event?


What are my transportation/parking options for getting to and from the event?

The venue, STATS, is a 5-minute walk from DevNexus.

What can I bring into the event?

Your appetite for networking, asking questions, sharing ideas and enjoying good food and drink with some great people.

How can I contact the organizer with any questions?

If you have any questions, please contact: – (215) 605-5603 – (617) 910 – 7972


STATS Food + Drinks (adjacent DevNexus)

300 Marietta Street NorthWest

Atlanta, GA 30313

United States


Thu, February 23, 2017

5:00 PM – 7:00 PM EST


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