{"id":5415,"date":"2014-07-05T10:15:54","date_gmt":"2014-07-05T04:45:54","guid":{"rendered":"http:\/\/ivyproschool.com\/blog\/?p=5415"},"modified":"2024-11-15T15:00:49","modified_gmt":"2024-11-15T09:30:49","slug":"avoiding-gridlock-with-high-performance-analytics","status":"publish","type":"post","link":"https:\/\/ivyproschool.com\/blog\/avoiding-gridlock-with-high-performance-analytics\/","title":{"rendered":"Avoiding gridlock with high-performance analytics"},"content":{"rendered":"

At IVY<\/a>, we have students and mid-career professionals enhancing their knowledge base with the Analytics and IT Programmes. They come from different streams, industries and work areas. It is our constant effort to innovate, educate and empower our Programme participants with the latest in analytics jargon, industry usage and application areas.<\/p>\n

It was the foresight of industry-wide analytics deployment, which led to the inception of Ivy Professional School back in 2008<\/a>. So it is exciting to note how analytics is pervading newer industry verticals, like utilities and supply-chain manufacturing.<\/p>\n

This blog highlights a new trend in analytics driven by industry needs and real world Big Data problems \u2013 high performance analytics (HPA).<\/b><\/p>\n

Organisations working in real-time like telecommunications, manufacturing or crisis management, have the need for high-precision insights from Big Data in shortest reporting windows. This has given rise to the practice of \u2018high performance analytics\u2019 for driving high-end real-time analytics solutions, doing away with \u2018sampling\u2019 and cutting down the time to insights and decision-making.<\/p>\n

HPA is also being explored by banking and financial services<\/a>, healthcare<\/a>, CPG(Consumer Packaged Goods) , retail, \u00a0insurance, life sciences, and Government Agencies, amongst others – “to glean insights from big data that once took days or weeks<\/a>, in just hours, minutes or seconds”.<\/p>\n

Understanding high performance analytics (HPA)<\/b><\/p>\n

HPA or high-performance analytics uses analytics within high performance computing, in a Big Data environment.<\/p>\n

High performance analytics (HPA) differs from Big Data analytics (BDA). While BDA is an online analytical processing (OLAP) cube in memory that handles descriptive statistics, HPA imbeds robust analytics in the database itself; in the memory of the data; or over multiple processors in a grid environment. HPA helps tame the challenges of Big Data effecting an average of\u00a038 percent greater use <\/a>of real-time performance data and predictive analytics.<\/p>\n

The 3 pillars of HPA<\/b><\/p>\n

\u00a0\"Hi-performance<\/a><\/p>\n

\u00a0<\/b><\/p>\n

<\/b>What does this mean for the Analytics Professional?<\/b><\/p>\n

As a mid-career professional you can make suggestions to your management \u2013 for use of high-performance analytics<\/a>\u00a0– to reduce run times, trim costs and increase analytic bandwidth from Big Data.\u00a0 Regardless of the industry vertical you work in, high performance analytics is the best roadmap to an effective DSS (decision support system) in a Big Data ecosystem.<\/p>\n

SAS CEO, Jim Goodnight, explained the power of HPA best when he asked in an article in sas<\/strong>com magazine,<\/p>\n

\u201cWhat would you do with the extra time if your code ran in five minutes instead of hours or days?\u201d<\/p>\n