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Ask an Expert - Teleports and Big Data
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NSR estimates that the biggest markets for big data via satellite will be in transportation, government/military and oil & gas – sectors where teleport operators are deeply embedded. Devices and connectivity are key parts of the mix, but so are applications: formatted data streams and data analytics are the end-products that customers actually need. Success in big data requires teleport operators to evolve beyond connectivity to management of complex networks, sophisticated information processing and a deep understanding of customer requirements.

Andrew Lucas is Senior Vice President, Satellite Operators and Mobility for Comtech EF Data. In this role, he leads the market development and direction of the Comtech EF Data product line for Satellite Operators and the Mobility market. By leveraging market insight, he directs long-term strategic initiatives and defines the required solution and feature sets for the Satellite Operator and Mobility Verticals.

Lucas has over 20 years of experience leading the implementation of large scale operationally challenging solutions including end-to-end satellite and ground segment systems, deployment and support of complex telecommunications and satellite networks, business intelligence, and data center solutions in Mission Critical, Harsh & Remote applications in worldwide markets including Energy, Maritime and Cruise. Prior to joining Comtech EF Data, he held the positions of Connectivity Services Business Manager at Schlumberger, COO and CTO at Harris Caprock.

Questions & Answers
1.

In what specific verticals or applications is growth being driven by this new requirement for massive data collection and transmission?/a>

2. Can you give us an example of a customer application that qualifies as big data?
3.

How different is the big data business from business as usual?

4.

How has your company had to change in terms of expertise and technical capabilities to serve customers for whom data has become so important?

5.

What are the obstacles and challenges you see in this new world of big data?

6.

What kind of return on investment should companies be looking for from entry into big data? Where is that return going to come from?

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