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Explore the advanced analytics platform, Part 1: Support your business requirements using big data and advanced analytics
Analytics platforms are increasingly important with the growth of big data. Learn about the key characteristics of the platforms and the underlying components. This article is the first of a series that will help you design and implement such a platform.
Also available in: Chinese   Russian   Portuguese  
Articles 24 Sep 2013
Explore the advanced analytics platform, Part 6: Dive into orchestration with a combination of SPSS, Operational Decision Management (ODM), and Streams using care and fraud management case studies
An essential component of any analytics platform is the ability to analyze large volumes of data at high velocity that results in real-time actionable steps. Often, intelligent processes require attention and focus on a few "out of range" observations midst a much larger field of "normal" observations. The real-time action requires selecting, focusing, and investigating these observations while dealing with data-in-motion. At the same time, we must understand historical trends and adapt to the changing definition of "out of range". This article describes the D4 (Discover, Detect, Decide, Drive) pattern, which permits high-speed analytics with rapid execution while under extreme data velocity and volume requirements. We then introduce two example use cases, identify architecture components, and discuss some integration design considerations common with the D4 pattern.
Also available in: Chinese   Russian   Portuguese  
Articles 05 Sep 2014
Explore the advanced analytics platform, Part 2: Explore use cases that cross multiple industries using the advanced analytics platform
An analytics platform requires investment of products and sourcing of data from multiple sources. By its very nature, big data leads to extreme requirements in data volumes and velocity that make it hard to replicate data across organizational silos. The platform must support multiple use cases for an organizational data lake (a common big data store across many divisions of the organization) to justify such investment. Explore multiple successful big data use cases and the flow of one use case to learn how the architecture supports the use cases.
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Articles 24 Sep 2013
Explore the advanced analytics platform, Part 4: Analyze location data to determine movement patterns using a mobility profile pattern
You can create several analytics patterns by using the Advance Analytics Platform. This article describes how to create the mobility profile pattern by analyzing location data, which is captured across time and space for an entity, to determine movement patterns. Such information can be valuable for various actions such as sending timely marketing campaigns based on locally appropriate offers or predicting future flow of traffic. A use case that involves location data from mobile devices illustrates the concepts. Also, learn about the underlying tools that are required to create the patterns.
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Articles 04 Mar 2014
Explore the advanced analytics platform, Part 7: The customer profile hub
Customer profile patterns help you to gain a deep understanding of your customers. Traditional master data management either federated or consolidated customer profile data. With big data, two new types of data sources are emerging, conversations and usage. These data sources add more dimensions to customer views and provide a richer insight to customer behavior, preferences, and usage patterns. This tutorial explains how to create a rich customer profile by using the Advanced Analytics Platform to get a deep understanding of your customer.
Also available in: Chinese  
Articles 19 Oct 2015
Explore the advanced analytics platform, Part 5: Deep dive into discovery and visualization
In this article, explore a pattern for data lake exploration and learn the steps for data integration across the end-to-end data flow. Through a series of exploration use cases, the tutorial defines the characteristics of the exploration and their execution by using the pattern.
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Tutorial 28 Oct 2014
Explore the advanced analytics platform, Part 3: Analyze unstructured text using patterns
In this article you will learn how to use design patterns to analyze unstructured text in the context of big data. As multiple tasks are usually required to solve business challenges in this space, the authors describe simple design patterns used to architect solutions that use data in unstructured text documents.
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Articles 26 Nov 2013
Explore the advanced analytics platform, Part 8: The Information Governance Model
Big data lakes are ingesting large volumes of internal and external data. Without proper governance, these data lakes risk becoming data marshes. These marshes might contain disorganized, low quality data that can corrupt the entire data repository, leading to confusion and chaos. This tutorial proposes a set of processes, and a tool set, to structure the data and implement information governance in the big data lake. The result is improved trustworthiness and organization of the information that is contained in the data lake. This underlying information governance architecture is embedded in the Advanced Analytics Platform.
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Articles 27 Oct 2015
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