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HP unveils ‘big data’ analytics service

HP Enterprise Services has announced a new information management and analytics service to help clients gain value from big data assets to drive new revenue opportunities, improve efficiency, reduce risk and lower costs.

While executives understand the importance of taking command over the variety, velocity and volume of information, many regard their organisations as unable to address the associated challenges. According to global research commissioned by HP, more than one out of two business executives reported that their organisations are not equipped with the right solutions to gain insight from Big Data. In addition, they lack the expertise as well as a cohesive strategy to bring all of the components together to incorporate new and old data sets. With greater insights, enterprises can take action to improve and transform their enterprise.

The new HP Big Data Discovery Experience simplifies and accelerates the entry path for clients to unlock the value of their information. The service provides a scalable discovery environment where clients can explore different technologies to experience insights gleaned from their own data. This enables them to move from high-level concepts of Big Data to the reality of harnessing and acting on the information.

For example, these insights can help an enterprise optimise real-time, cross-channel marketing, customer service and demand prediction. Other use cases include supporting client efforts in detecting and preventing fraud, ensuring compliance in real time, and using social media for risk management and brand reputation.

The HP Big Data Discovery Experience supports a low-risk, rapid path to leveraging Big Data technologies for innovation and better business outcomes. Offered as a service with Big Data consultants and data scientists, facilitated processes and advanced technologies, the HP Big Data Discovery Experience doesn’t require clients to make an initial investment for skilled resources, software and hardware.

‚”A Big Data solution is a significant investment of time and money for any organisation, regardless of industry,‚” said Helen Rich, Country Manager, HP Enterprise Services, South Africa. ‚”HP’s approach brings business and IT together from the beginning to help clients shorten the time to start a Big Data initiative and discover new business insight to make better and quicker decisions.‚”

The HP Big Data Discovery Experience helps clients align business and IT strategies related to Big Data, enabling them to understand their data and the value that can be gained from it. This insight helps clients accelerate the development of an information strategy.

As part of the HP Big Data Discovery Experience, HP consultants work with a client’s staff to advise on and identify the core parameters of success, conducting a series of planning sessions to assess current and future state requirements. Additionally, HP drives diagnostic assessments across the critical dimensions of people, processes and data readiness.

The HP Big Data Discovery Experience enables the discovery of key insights based on client data to create a functional proof of concept, roadmap and business justification.

The service provides clients with an information ecosystem through which to explore different types of data with industry-specific use cases and analytical models. HP also can deploy the insights-based applications in production processes.

The HP Big Data Discovery Experience provides consulting-led advisory services combined with rich solution functionality in a standard configuration that combines best-in-class structured and unstructured data capabilities, application design and deployment tools, as well as leading security, privacy and confidentiality capabilities. The platform-as-a-service delivery approach leverages a variety of HP technologies, including software from HP Autonomy and HP Vertica, along with infrastructure and cloud offerings from HP. It also leverages open source frameworks such as Hadoop and partners such as TIBCO Spotfire Analytics.

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