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7 Deadly Sins of BI

The analysis of data is littered with potholes. Here is a list of 7 deadly sins which affect the use of business intelligence: Poor data quality. Data can suffer from a number of ailments – incorrect values, missing values, default values, and so on. Don’t underestimate the effect that poor data quality can have on […]

Decision Automation and Management

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Decision Management Strategy

    In most organizations, business process management (BPM) is a well-developed set of methods, skills and supporting infrastructure. Decision management is less so. This is understandable, since decisions have often been implicitly buried in transactional systems for as long as businesses have been developing and deploying them. It is only with the emergence of […]

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Decision Management Case Studies

  The application of decision automation and management is as diverse as the businesses that benefit from the technologies and methods. The four case studies below are courtesy of FICO, the sponsor of this report, and include an airline operator, a telecoms company and two firms operating in financial services. For all four organizations the […]

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Applying Decisions to Business Processes

  A great deal of what passes for a ‘business process’ is actually decision logic, and so large numbers of decisions are already embedded into processes in program code. As such they lack transparency, accessibility, quality control mechanisms and are extremely difficult to orchestrate. By treating decisions as more than an appendage to the process, […]

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Intelligent Business Process Methods

  Business decisions permeate operational, tactical and strategic activities. And although business process management (BPM) provides a mechanism for tying some of these activities together with workflows, it says nothing about the decision itself. While BPM has been well served by the methodology encapsulated in BPMN (Business Process Modeling and Notation), the same has not […]

Popular Alternatives

SAS BI vs Tableau

SAS BI is a wholly different beast to Tableau. SAS supplies arguably the most sophisticated analytics platform on the planet, should someone need that level of capability. However it is fairly top heavy, and not particularly easy to use. Tableau on the other hand is fairly limited in functionality, but very easy to use. They […]

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5+ Alternatives to Tableau Desktop and Server

Tableau Desktop and Server provide individual and enterprise data visualization platforms. It is not the most sophisticated platform and can run out of steam for more demanding requirements. Here are several alternatives worth considering. QlikView BI platform has the ability to be all things to all people, and will satisfy business users, developers and enterprise needs. […]

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5+ Alternatives to SAP Business Objects

SAP Business Objects is a natural, albeit expensive, choice for many SAP users. However there are alternatives and the list below is a good selection of candidates, with suitability implied in the order – although individual requirements obviously vary. IBM Cognos is a large, sprawling suite of BI tools and infrastructure best suited to the needs […]

4 Alternatives to IBM Cognos

While IBM Cognos comes in various shapes and sizes depending on the needs and size of the organization, in reality the BI and analytics platform is best suited to large corporations – other, and possibly better options exist for many other businesses. One only has to consider the modules offered under the Cognos umbrella to […]

New Reviews

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Appian Review

Appian is well regarded for its ease of use, and its cloud based BPMS is an attractive alternative for many customers. BPMN solutions can be rapidly built through drag-and-drop functionality and a native process repository captures and stores process models for rapid reuse. Business rules can be created to define your critical policies and procedures […]

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Dataiku Review

Dataiku joins a growing band of suppliers (Alpine for example) focusing on end-to-end predictive model production. Its web based Data Science Studio (DSS) significantly shortens the time-consuming load-clean-train-test-deploy cycles of building predictive applications. Most data are easily accessed including big data sources such as Hadoop, Cassandra, MongDB … relational databases, and other formats such as […]