High performance computing the exponential increases in processing power and

High performance computing the exponential increases

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High-performance computing – the exponential increases in processing power and storageMoore’s Law: # of transistors on an integrated circuit doubles every two years Kryder’s Law: magnetic disk storage will double annuallyoDecision Management – AKA Technological Automation; automated processes that allowcompanies to scale decision-making quickly Resulting in…oHuge changes in the availability of Big Data due to Consumer demand for intangible goods like music and online entertainmentPervasiveness of the internet resulting in greater worldwide communications and data sharingA shift toward online banking and commerceoEvery line of business and every employee through electronic systems and devices is continually and organically creating new business-related data as a part of the joboEveryonline transaction leaves behind a footprint, with infinite possibilities for generating insight.Delivering Business Analytics (Stubbs)How is advanced analytics different from reporting:oOperations researchoParametric or nonparametric statisticsoMultivariate analysisoAlgorithmically based predictive modelBusiness analytics adds to analytics by requiring:oBusiness relevancyoActionable insightoPerformance measurement and value measurementValue is created throughoPeopleoProcessoDataoTechnologyBusiness analytics is primarily about facilitating changes
6Top 10 BI Trends for 2017 (Tableau) 1. Modern BI becomes the new normaloTransition away from IT-centric reportingoEven non-analysts are empowered to governed data and collaborate their findings2. Collaborative analytics goes from the fringe to the coreoShare, share, share3. All data becomes equaloRegardless of size, shape, rank, or type4. Self-service analytics extends to data prepoNon-analysts will be able to prep data as part of their analytics flow5. Analytics are everywhere, thanks to embedded BIoMore people will be using business application to deal with data6. IT becomes the data herooIT evolves from producer to enabler, giving the f flexibility and agility, the business needsto innovate all while balancing governance, data security, and compliance7. People start to work with data in more natural waysoFrom standard reporting to storytelling8. The transition to the cloud acceleratesoMany are still using a hybrid architecture of cloud and on-premises solutions, but cloud analytics is a faster and more scalable solution9. Advanced analytics become more accessibleoBusiness users become more savvy10. Data literacy becomes a fundamental skill of the futureoAnalytics competency will be a mandatory core requirement for all professionsHistory of Business IntelligenceBusiness intelligence existed before technology.

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