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How MZI HealthCare identifies big data patient productivity gems using HP Vertica

As part of our continuing podcast series, Dana Gardner, president and principal analyst for Interarbor Solutions, recently conducted an interview with Greg Gootee, product manager at MZI HealthCare.   MZI HealthCare develops and provides sophisticated software solutions that are flexible, reliable, cost effective, and help reduce the complexities of the healthcare industry.

In a post on ZDNet, Dana shares some of the highlights from his podcast with Greg Gootee:

Doctors make informed decisions from their experience and the data that they have. So it’s critical that they can actually see all the information that’s available to them.

The other critical thing was speed, being able to deliver high-end analytics at the point of care, instead of two or three months later, and Vertica really produced. In fact, we did a proof of concept with them. It was almost unbelievable some of the queries that ran and the speed at which that data came back to us.

The ability to expand and scale the Vertica system along with the scalability that we get with the Amazon allows us to deliver that information. No matter what type of queries we’re getting, we can expand that automatically. We can grow that need, and it really makes a large difference in how we could be competitive in the marketplace.

Listen to the podcast. Find it on iTunes. Read a full transcript or download a copy.

HP Vertica Boosts Performance for Infinity Insurance

Dana Gardner, president and principal analyst for Interarbor Solutions, recently conducted a podcast with Barry Ralston, assistant vice president for data management, of Infinity Insurance Companies, an HP Vertica customer.  Infinity Insurance is a Top 50 property and casualty insurance company based in Birmingham, Alabama, and they are using the HP Vertica Analytics Platform for their business intelligence and analytics programs.

In a story written for ZDNet, Dana shares some of the highlights from his podcast.  Here are a few key quotes from Barry from the podcast that were shown in the ZDNet story:

“We specifically chose Vertica to achieve higher productivity and to allow us to focus on optimizing queries and extracting value out of the data.”

“We took the top 12 worst-performing queries or longest-running queries from the Exadata implementation, and not one of the proof of concept queries ran less than 100 times faster. It was an easy decision to make in terms of the analytic workload, versus trying to use the Oracle row-store technology.”

“In short, in leveraging Vertica, the underlying architecture allows me to create a playfield, if you will, for business analysts.”

Infinity Insurance is deriving a true competitive advantage from their ongoing analysis of data.  If you would like, you can listen to the full podcast or subscribe on iTunes. Or, you can read a full transcript or download a copy of the transcript.

See how Cerner uses the HP Vertica Analytics Platform

We recently talked to Bill Graff, Senior Vice President of Cerner Technology Services, and Dan Woicke, Director of Enterprise System Management at Cerner Corporation, about their use of the HP Vertica Analytics Platform.  Watch this video to see how HP Vertica enables Cerner to improve the effectiveness of their systems, drive deeper insights into their systems and patient treatments, and ultimately, improve the effectiveness of the physicians and hospitals they support.

Two new case studies – Yota and Kokubu

We’ve published two new case studies – Yota and Kokubu, showing how two more of our world-class customers are creating a competitive advantage with the HP Vertica Analytics Platform.  Below are some quick summaries of both case studies, as well as a link to the PDF versions of the case studies.  If you would like to learn more about how customers of all sizes, across a variety of industries, are using HP Vertica, please visit the HP Vertica Case Studies page.

Yota_logo

Yota Networks creates a unified federated data warehouse

Yota is one of the largest telecom providers in Russia, and a pioneer of providing 4G services in the country. Towards the end of 2011, the company piloted its first commercial LTE network in Novosibirsk, later rolled out to major cities across Russia. The launch of 4G has made a significant impact on Yota’s backoffice systems. It resulted in a massive increase in data traffic, upload times and real-time processing requirements causing Yota to look for a a new data warehouse, one capable of handling big data in real-time.

Download the full case study (.pdf)

Kokubu_logo

Kokubu successfully renovates its integrated data warehouse

Kokubu is a Japanese food and drink wholesaler with operations throughout Asia. Its integrated data warehouse is used by 4,500 users, tracking daily sales and revenue data. Using the column-oriented database of HP Vertica the company has improved query response time by up to nine times.

Download the full case study (.pdf)

Boom Times for Boston’s Biggest Data

It’s boom times at HP Vertica – as the Boston area’s first and biggest Big Data technology provider, we continue to grow and expand our employee base and ecosystem.

We had a full house last week for our spring Open House, which gave us a chance to have friends of the company including current (of course) and future employees, strategic partners and even members of our alumni network.

As with any growth business in a highly dynamic market, occasionally people decide to move on but it was gratifying to have a number of former colleagues join us – some of whom have become customers, and a few of which have even re-joined the company recently!

Over the next few weeks, HP Vertica will be taking things on the road to HP Discover Las Vegas and will be involved in some major strategic announcements regarding HP’s Big Data strategy, so watch this space for more.

We’re also going to be on the road for our Discover Performance series and a number of industry events – check our website for details.

And last but not at all least, we’ve got our HP Vertica Big Data Conference in early August – click here or on the image below to learn more and to register. We’re expecting another full house including our base of current and future customers, strategic partners and of course many of our colleagues from worldwide HP – sign up now, since space is limited and Early Bird Pricing expires June 28!

Register here

New Case Studies – Guess? and Kansys

There are two new case studies posted on the site – Guess? and Kansys – and they offer two very different stories about how these world-class companies are using Big Data as a competitive differentiator in the retail and service provider industries.  But there is one common thread between the two stories – the HP Vertica Analytics Platform.

You can check out the stories by going to the Customer Case Studies page, but I wanted to give you a short description of the company and a quote for each story to entice you to check them out:

Guess?, Inc., a leading global retailer, is achieving business and technology benefits with its HP Vertica Analytics Platform that includes a flexible, compelling mobile business analytics iPad application called G-Mobile. The easy-to-use mobile app empowers a range of non-traditional BI users including designers, buyers, planners, and allocators—to analyze sales, inventory and logistical information. The company has improved its insight into customer purchasing behaviors, and can ensure employee resources are allocated appropriately to optimize productivity. With HP Vertica, Guess? has the infrastructure in place to tackle the challenges retailers face—including Big Data and next-generation analytics. The company plans to roll out the analytics platform to Europe and Asia in the near future.

“Vertica gives us the flexibility to tackle Big Data. With HP Vertica, our organization is ready for the challenges retailers are facing—from Big Data to next-generation analytics.”
– Bruce Yen, director, Business Intelligence, Guess?, Inc.

Founded in 1997, Kansys brings deep experience and expertise to the business support systems and operations support systems (BSS/OSS) for Communications Service Providers (CSPs) & Multiple System Operators (MSOs). The company is known for an unparalleled ability to align, manage, optimize, and report on huge volumes of data from disparate sources for its clients.With expertise gathered over years of experience, Kansys is unique in its depth of knowledge across the areas that matter to CSPs — Mediation, Process Optimization, Revenue Assurance, Fraud Detection & Analysis, Billing, Audits, Customer Analytics, and Reporting. HP Vertica powers the CSP & MSO Big Data services provided by Kansys to their customers.

“As a consumer of data, time to information is important, and we don’t want to be limited in the amount of data we process. HP Vertica solves that problem.”
– Tom Wisnasky, CIO, Kansys

To check out these two case studies, and to learn more about Guess?, Kansys, and some of our other customers who are taking full advantage of the HP Vertica Analytics Platform, please visit the Customer page on our web site.

HP Vertica Analytics Platform ready to grow with Cardlytics

Recently, we’ve been spending more time with our customers in order to get a better understanding of how they are using HP Vertica, and why they chose the HP Vertica Analytics Platform as their analytics database of choice.  One such customer, Cardlytics, was generous enough to spend some time with us and talk in length about how their company uses HP Vertica to accelerate their Big Data analytics and improve their ability to target new customers with their transaction-driven marketing programs.

To find out more about how Cardlytics is using HP Vertica to power their Big Data analytics program and increase revenue and customer satisfaction, please take some time to read the recently-published case study, or watch one of the Cardlytics customer videos, using the links below:

UPDATE: We just found out that The Economist has a great article on Cardlytics in they published on October 27th.  You can check it out at:

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