What’s making us different in the marketplace right now is that we’re eliminating all of the headaches associated with creating your own Big Data lake-style BI infrastructure and environment.

- Jeff Morris, VP of product marketing, GoodData

We all know the reality: Big Data is here to stay; those that embrace it have the upper hand.

A recent IDC forecast shows that the Big Data technology market will grow at a 26.4% compound annual growth rate to $41.5 billion USD through 2018—or about six times the growth rate of the overall information technology market. From data monetization to customer retention to compliance to traffic optimization, enterprises that embrace this emerging technology are changing the dynamics of business in every vertical market. All of this brings a major opportunity for OEM software vendors, which can profit by creating analytic data management features or entirely new applications that put customers on a faster path to better, data-driven decision making.

Businesses that embed HPE Vertica stand out from the competition and deliver higher value to customers. Specifically designed for analytic workloads, Vertica’s blazing fast speed and performance, advanced analytics, ease of deployment, and support for data scientists make it tailor-made for embedding.

Deliver Fast Analytics

Expectations are high; waiting for results is not acceptable. A software vendor should provide the load and query performance to ensure that analytics are timely and relevant. The solution should provide ways to optimize common queries without needing to constantly tune; and it should be flexible enough to run ad hoc queries, regardless of whether the data ingest is streamed, trickle-loaded, or batched.

Embed Machine Learning

With the volume and velocity of data combined with the goal of predictive and prescriptive analytics, embedded machine learning algorithms are critical. An analytics platform that iteratively learns from new data differentiates software solutions to a new level of intelligence.

Handle User-defined Functions (UDx)

Having an analytical platform interface that connects to hundreds of applications, data sources, ETL, and visualization modules is also critical. What it doesn’t connect to out of the box, the UDx can easily integrate. UDx is a clear differentiator for software vendors looking to add variety and improved data insight to their core offerings.

Support Data Scientists

The new breed of data scientists is using tools like Java, Python, and R to create predictive analytics. The underlying database should make it easier to leverage these programming languages to shift the paradigm from why something happened to what will happen, and ultimately how that outcome can be influenced. Data scientists will appreciate an analytics platform that delivers the tools to spot trends, uncover anomalies, and anticipate the unexpected.

HPE Vertica powers real-time data analytics at Empirix

The Challenge:

  • Ability to analyze billions of rows of subscriber data and return results in seconds

The Solution:

  • Partner with HPE Vertica to provide Big Data platform for mobile and telecommunications business analytics

The Result:

  • Boost subscriber service quality, reduce customer churn, identify and target customers with revenue-generating offers
  • Improve customers’ ROI with predictive analytics
  • Prevent over-the-top apps from taking down networks

Read the Full Case Study

The OEM partnership with HPE Vertica has had an impact on our roadmap. Movement of data takes time. We want HPE Vertica to be the place for analytics. Subscribers can’t wait overnight. Our roadmap is about real-time analytics. With HPE Vertica, we can load data quickly, correlate, aggregate it, and we can do that in seconds to a couple of minutes.

– Navdeep Alam, director of engineering for analytics and prediction, Empirix