Rethink BI : Business Insights over Business Intelligence
The purpose of this business insights thought leadership blog is to share the HP point of view on industry trends such as Big Data and Real Time Analytics, and provide updates on key innovations and solutions.

How HP is addressing the Big Data challenge

Ask any number of IT managers what keeps them up at night, and you’ll probably get a singular answer: Big Data. For a better understanding of how HP is working to allow a restful night’s sleep, we asked Manoj Suvarna, Director of Product Management for HP Converged Systems what he is seeing in the marketplace and what HP is doing to address Big Data.

 

What type of Big Data challenges is HP currently experiencing in the industry?

Survana: Big Data challenges effect everyone and they consistently fall into two types of customer segments:

  • sm-20130130_RS_OFFICE_017P0819.jpgSegment 1 wants to know about their customers. They need information and specific analytics on their customer base — what they are purchasing, loyalty programs, brand expressions. That data is flowing through social media outlets and gathered in some kind of structured CRM or unstructured environment so the company can predict customer behavior, especially around new products or promotions.
  • Segment 2 comes from a much larger enterprise, and wants to understand information across many functional operations, such as marketing, finance, supply chain and manufacturing. They want to be able to predict hacker attacks or understand the issues around manufacturing bottlenecks or distribution problems. Today that data resides in multiple siloes or data warehouses. These customers want to be able to pull all that data together and analyze it to make business decisions.

 

Despite the customer segments, Big Data is a top priority today. Almost every enterprise organization has systems in place that were not architected to handle the volume and velocity of machine data, or the volume and variety of human information, which together represent 90 percent of an organization’s information. Predicted growth rates of both these types of data is unprecedented.

 

Old methods of searching for answers in the rows and columns of a database no longer suffice. Collecting, combining, and comprehending human and machine information requires a fundamentally new approach that uses technology to intelligently connect seemingly disparate data as never before, similar to the way the human mind understands data, making the technology for work us rather than the other way around.

 

At HP, we think if you want to have a really good, 360-degree view of all this captured data—both structured and unstructured—you really want to accomplish five tasks. Specifically you want to capture, store, manage, analyze and optimize the data so you can make better, more informed decisions. And you want to be able to do this relavitively quickly.

 

No single vendor can offer you a solution to do all those things. There’s a number of reasons for this: you have to own the entire industry stack; you need to layer on top of that an entire arsenal of analytics solutions, so you can parse the data well; and you need to be able to analyze it in real time to optimize decision-making. Customers also need guidance on which architectures and/or solutions to implement — as well as support for the total solution before it is deployed enterprise-wide. Very often, the Big Data hardware vendor doesn’t offer those services.

 

Find out more about ways you can profit from Big Data .

 

About the contributor

Manoj Suvarna is director of HP Converged Systems, part of the Enterprise Group at HP. In this role, he is responsible for a portfolio of purpose-built appliance solutions for Big Data (including Hadoop) and SAP HANA.  Manoj’s responsibilities span across solutions development, product marketing, value-chain development and go-to-market activities, as well as sales enablement and strategic business planning with key alliance partners for joint research and development.

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