The Bigger Truth
     
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    Decision analytics is a transformative technology.

    决定analytics是变化的技术。

    End-users who do not yet have familiarity and IT experience with concepts like decision management, predictive analytics, and discrete choice analysis are advised to take aggressive steps to quickly move up the learning curve. While some areas of decision analytics such as Bayesian inferencing and adaptive systems do qualify as rocket science, many highly useful aspects of decision analytics are far more easily approachable. However, the scope of decision analytics is wide enough that it takes time and experimentation to fully appreciate how best to leverage these analytical techniques. Pursuing decision analytics is clearly a journey that will take time, investment, and experience. Having a Chief Data Officer (CDO) is a good start, and so is having a decision analytics programs office. Because of the time necessary to develop a decision analytics program with depth (which includes data and decision analytics that reflect policy and result in actions), it is important to start sooner than later. It’s also better to force your competitors to come to terms with decision analytics rather than the unfortunate alternative.

    没有熟悉和它经验以概念象决定管理、有预测性的analytics和分离挑选分析的终端用户被劝告采取进取的步骤对迅速移动经验曲线。 当决定analytics例如贝叶斯inferencing和适应性系统;一些区域合格当火箭科学时,决定analytics的许多高度有用的方面更加容易地是可接洽的。 然而,决定analytics的范围是足够宽这采取时间和实验最好充分地赞赏多么支持这些分析技术。 追求决定analytics清楚地是将采取时间、投资和经验的旅途。 有一名首要数据官员(CDO)是一个好开始,和,因此有决定analytics节目办公室。 由于时间必要开发一个决定analytics节目以包括数据和决定analytics在行动反射政策和结果)的深度(它快比以后是重要对开始。 强迫您的竞争者与决定analytics达成协议而不是不幸的选择也最好的。

    There are vendors that have decisioning products such as business rule management systems. There are also vendors that provide advanced analytic products. However, there is only a rarified set of vendors that provide both decisioning and analytic products. Why is this important? Although most analytic models are developed offline, some of these models will need to be integrated with decisioning tools in order to address process automation and process improvement needs. To ease this integration process, you will want to look for vendors with explicit experience in both the decision and analytic dimensions of decision analytics to ensure the easiest and smoothest implementation of technology that some will find complex. Due to the large number of categories identified in the decision analytics continuum, enterprises should also look for a vendor that has deep product and service expertise across the decision analytics continuum. As we mentioned earlier, some of the leading vendors in the decision analytics domain include FICO, IBI, IBM, Oracle, Pegasystems, SAP, SAS, and TIBCO. Table 1 provides a list of these vendors and products that support decisioning and analytics.

    有有decisioning的产品例如商业惯例管理系统的供营商。 也有提供先进的分析产品的供营商。 然而,有提供decisioning的两个和分析产品仅的崇高的套供营商。 为什么是重要的这? 虽然多数分析模型被开发得离线,其中一些模型将需要集成以decisioning的工具为了处理流程自动化和步骤改进需要。 要缓和这种综合流程,您在决定和分析维度将想要正在寻找供营商以明确经验决定analytics保证一些将发现复合体技术的最容易和最光滑的实施。 由于在决定analytics连续流辨认的很大数量的类别,企业应该也正在寻找有深刻的产品和服务专门技术横跨决定analytics连续流的供营商。 如同我们前面提到,某些主导的供营商在决定analytics领域包括FICO、IBI、IBM、Oracle、Pegasystems、树汁、SAS和TIBCO。 支持decisioning和analytics的表1提供这些供营商名单和产品。

     
    Table 1. Leading Decision Analytics Vendors and Products
    Vendor Decisioning Products Analytic Products
    FICO FICO Blaze Advisor, FICO Decision Management Platform FICO Model Builder, FICO Xpress Optimization Suite, FICO Analytic Modeler, FICO Model Central, FICO Decision Optimizer
    IBI iWay Service Manager, iWay Event Manager WebFOCUS Family of Products
    IBM IBM Operational Decision Manager IBM Analytics Decision Management, IBM SPSS Product Family, IBM Cognos Product Family, IBM Algorithmics Product Family, IBM InfoSphere Streams
    Oracle Oracle Business Rules, Oracle Real-Time Decisions
    Oracle Business Intelligence, Oracle Endeca Information Discovery, Oracle Exalytics, Oracle Advanced Analytics
    Pegasystems Pega Decision Management, PegaRULES, Process Commander, Pega Visual Business Director Pega Next Best Action Advisor, Pega Adaptive Decision Manager, Pega Predictive Analytics Director, Pega Firefly, Pega MeshLabs eZi product family
    SAP SAP Decision Service Management SAP BusinessObjects Family, SAP Predictive Analysis, SAP Social Media Analysis
    SAS SAS Enterprise Decision Management SAS Enterprise Miner, SAS Model Manager, SAS Visual Analytics, SAS Visual Statistics, SAS Forecast Server, SAS Contextual Analysis, SAS/OR, SAS In-Memory Statistics for Hadoop
    TIBCO TIBCO Business Events Decision Manager, TIBCO ActiveMatrix Decisions TIBCO Spotfire

    Vendors and end-users should both consider the implications of the decision analytics reference model. The application architecture necessary to deliver the decision analytics reference model involves a number of newer platform-based capabilities such as messaging, event servers, business rule management systems, business intelligence, advanced analytics, push technologies, and application management. Consequently, enterprises are advised to think strategically about their decision analytics needs and the technology stack necessary to deliver on these objectives even if the technology is to be phased in over time.

    供营商和终端用户如果两个考虑决定analytics参考模型的涵义。 应用建筑学必要提供决定analytics参考模型介入一定数量更新的基于平台的能力例如传讯、事件服务器、商业惯例管理系统、商业情报、先进的analytics、推挤技术和应用管理。 结果,企业在这些宗旨建议战略地考虑他们的决定analytics需要和技术堆必要交付,即使技术将随着时间的过去被逐步采用。