“Quickly defining an analytics and big data strategy is an essential step for companies to remain competitive in an environment where the amount of data being collected is outpacing their ability to leverage it,” said Srinivas Kompella, GM for Information Management and Analytics, Enterprise Services, HP Asia Pacific and Japan. “We deliver solutions with flexible consumption models to enable our customers to start focusing immediately on the opportunities that data creates to improve their business.”
Most existing business intelligence environments can provide analytics and reporting, but fall short when they encounter new formats and higher volumes of data. Enterprises today are being challenged to process unstructured data and vast amounts of sensor data in real time and on an industrial scale, especially with the new Internet of Things that is emerging.
In the “BI Analytics, Q3 2013” TechRadar report, Forrester Research authors Holger Kisker, VP and Research Director, and Charles Green, Analyst wrote: “As the amount of data grows and companies’ ability to harness and create value from that data improves, firms will be able to optimise almost all aspects of business operations, including sourcing, logistics and the customer experience. In addition, major dynamics like the digital revolution are upending whole industries; as a result, data-driven insights will become critical to business survival. Therefore, BI analytics are, and will continue to be, one of the main focus areas for companies’ investments and business strategies.”
In the “BI Analytics, Q3 2013” TechRadar report, Forrester Research authors Holger Kisker, VP and Research Director, and Charles Green, Analyst wrote: “As the amount of data grows and companies’ ability to harness and create value from that data improves, firms will be able to optimise almost all aspects of business operations, including sourcing, logistics and the customer experience. In addition, major dynamics like the digital revolution are upending whole industries; as a result, data-driven insights will become critical to business survival. Therefore, BI analytics are, and will continue to be, one of the main focus areas for companies’ investments and business strategies.”
HP Business Intelligence Modernization Services is a suite of software, hardware and consulting services designed to help clients integrate big data analytics into their existing environments to address new analytics requirements.
The new HP Business Intelligence Modernization Services address three major service needs to support a client’s journey to become more data-driven and agile:
· Discovery environments: “Data lakes,” data visualisation tools and services enabling rapid, enterprise-wide data sharing and analytic discovery collaboration.
· Analytics solutions: Addressing specific analytics needs to run the business better.
· Hybrid data management: Enabling enterprises to deliver production-grade analytics integrated into business processes and systems that leverage relevant data.
With the new services, available immediately, enterprises can choose from various scalable consumption models, including as-a-service, private cloud, hosted and on-premises solutions.
The new HP Business Intelligence Modernization Services address three major service needs to support a client’s journey to become more data-driven and agile:
· Discovery environments: “Data lakes,” data visualisation tools and services enabling rapid, enterprise-wide data sharing and analytic discovery collaboration.
· Analytics solutions: Addressing specific analytics needs to run the business better.
· Hybrid data management: Enabling enterprises to deliver production-grade analytics integrated into business processes and systems that leverage relevant data.
With the new services, available immediately, enterprises can choose from various scalable consumption models, including as-a-service, private cloud, hosted and on-premises solutions.
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