Published on 29-Jun-2012
"Right now, we are actually engaged with IBM and because of that precedence, it's giving us the opportunity to address new markets - completely new, completely different regional markets, that we're attacking together." - Jonjie Sena, Senior Director, Product Management, TEOCO
Big Data, Business Analytics, Data Warehouse, Smarter Computing
TEOCO, founded in 1995, focuses on assurance and analytical applications, usually big data. With analytics as the core of their business, they were in need of a platform that could enable them to analyze and understand massive amounts of data.
TEOCO wanted to analyze 500 TB of data from call detail records and inter-carrier invoices daily to help communication service providers (CSPs) identify cost savings and improve services.
TEOCO’s assurance and analytics solutions, powered by the IBM Netezza data warehouse appliance, enable CSPs to access and analyze all of their data, using it to help solve critical business issues.
TEOCO strives to help its customers understand their data and has already seen the results of Netezza with its own customers. With IBM Netezza technology, the company helped one Tier 1 mobile operator save over USD400 million in four years; reduced management costs by decreasing server sprawl; enabled clients to proactively respond to network issues before customer service was affected.
With IBM Netezza, TEOCO Corporation is able to simplify big data, saving time and resources. Senior Director of Product Management Jonjie Sena explains the importance of analytics and how IBM Netezza has streamlined the process of solving business problems.
Jonjie Sena, Program Director, Product Management, TEOCO
TEOCO has been around since about 1995. Our solutions tend to focus on assurance and analytics applications—usually big data. And we have sort of three areas of focus. We look at margin assurance, so we look at profitability, cost and revenue. Look at service assurance. We look at quality of service; how service are performing, and we’ve recently introduced customer analytics that sort of looks at customer from all those angles—quality of service, profitability, and behavior.
So, analytics to us is really central to a lot of what we do. People are enamored with analytics so we use analytics to power a lot of the tools and in the end, it’s an enabler. And we try to make our customers understand it’s a great capability. It does many, many things but it’s meant to help solve a business problem. So how we use analytics today is to power those three different areas that we talked about, improving your efficiencies at the cost and the margin levels, making sure your customers are getting the best possible service, optimizing the network and really tying it across a lot of those areas. Where the innovation probably has come in the last couple of years is the…everybody talks about big data. There’s a ton of it flying at you and you’ve got to process it really fast and there’s a lot of variety, but again, value is where we’ve come from. Making sure you apply those bits, bytes and insight and have some meaningful feedback to the company; otherwise, you’ve just gotten great reports and great insight but you really haven’t solved the reason why we’re in business.
One of the great stories that TEOCO has with the Netezza agreement is we actually did our R&D on serial number 001. So, you know, before it was an industry, before it was a market, Netezza pioneered the stage. We recognized that very early and jumped on and we delivered our applications on that very, very first box. The pioneering step that we believe that Netezza’s done is the appliance application to that problem set, which has really solved a lot of our areas. That said, we probably manage something like 24 racks of Netezza equipment for our customers. But it’s an incredibly powerful environment.
Simplicity, I think, comes from two sides of the house. Remember we are a product company. We are a services company. So we use it…it simplifies our life so we don’t need a whole lot…so the 24 racks I told you, we have two full-time people that manage that — two full-time for 24 racks of Netezza environments.
While there’s many different reasons why this works so well, one of the key enablers that the platform has given for us and we’ve taken advantage of is the ability to go down to the individual transactional event level of data.
We’ve had the continuity working with the Netezza team, as well as the expanded IBM team, and we’re sort of sharing information and sort of training each other across it.
We’ve done it in North America very, very well. Right now, we are actually engaged with IBM and because of that precedence, it’s giving us the opportunity to address new markets—completely new regional markets that we’re attacking together. That’s probably one of the biggest innovations, my perspective, in the data warehouse world that Netezza’s brought on—is that…that, you know, it’s the iPod approach for big data.
So I think most of the analytic applications – it’s not just bringing the data together. It’s bringing the user perspective together for that one guy. And what analytics gives you…what big data gives you is exactly that, and we’re starting to see it. It is not a two years from now initiative. It’s happening now…but it’s evolving.
Products and services used
IBM products and services that were used in this case study.
IBM Netezza 1000