Who Is Analytics Services?
Today’s abundance of information offers businesses a major opportunity to gain competitive advantage and to transform their industry and professions. Analytics enables companies to engage with data to answer the toughest business questions, uncover patterns, and pursue breakthrough ideas.
Lab Services data for analytics services capabilities include advising clients on efficient data acquisition and capture, data placement and storage at scale, and the design and deployment of compute infrastructure for big data and analytics.
Executive Advisory Practice
We provide a collaborative approach to developing an enterprise-wide analytics strategy in support of business growth and innovation. This utilizes a next-generation analytics architecture model to create a prioritized transformation roadmap encompassing people, process, and technology dimensions.
Power Systems Practice
Lab Services helps businesses deploy big data open infrastructure for analytics including for Hadoop and Spark featuring Linux on Power®, IBM BigInsights®, and IBM Elastic Storage Server™ solutions. In addition, we provide advisory services for securely integrating structured operational data held on systems of record with analytics and reporting on systems of engagement such as Cognos® and IBM DB2® Web Query.
We bring proven expertise to consult, plan, design, and implement your data analytics platform. We enable advanced analytics for better customer insight with IBM Spectrum Scale™ and IBM Spectrum Compute™ to provide the robust, flexible, fast and secure platform for your analytics queries.
z Systems Practice
We help clients deploy the infrastructure for their enterprise analytics platforms, such as IBM DB2® Analytics Accelerator, to gain business insights with decisions based on real-time analysis of data designed for availability and engineered for highest levels of security. Other areas of analytics focus on z Systems real-time analytics with technology such as Spark, and predictive analytics with zAware, Cognos®, and IBM SPSS®.
Questions? Contact us at email@example.com