IBM Predictive Analytics Agenda 2014IBM Predictive Analytics Agenda 2014

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What is predictive analytics?

Predictive AnalyticsPredictive Analytics
- Noun.

Predictive analytics informs and directs decision making by applying a combination of advanced analytics and decision optimisation to an organisation’s data, with the objective of improving business processes to meet specific organisation goals. It is through the analysis of past, actual data, that organisations are better equipped to predict future outcomes and make decisions appropriately.

How can predictive analytics help me?

Achieve Customer Intimacy

Attract new customers. Reduce costs of acquisition marketing and increase conversion rates by better targeting of prospects with the potential to be most profitable.

Grow your business. Increase returns from cross and up sell campaigns by basing offers on purchase history of similar customers and propensity to respond.

Retain your customers. Identify customers at risk of leaving and target retention efforts at customers with high predicted value. Select offers and incentives most likely to persuade each customer to stay loyal.

Achieve Operational Excellence

Manage and maintain assets. Identify the right physical inventory to stock in your multi-tier supply chain and assess how many components to purchase to support your production facilities. Maintain your physical infrastructure and capital equipment.

Maximise your capital. Ensure you are allocating your people and cash in the most efficient manner, in the context of your business processes.

Protect your Organisation from Threats and Fraud

Reduce risk. Accept or reject customers or transactions on the basis of accurate risk estimates. Minimise bad debt by optimising collections. Ensure compliance and gain competitive edge by estimating risk exposure accurately.

Prevent Fraud. Identify patterns and anomalies that represent cases of fraud. Intercept transactions that are potentially fraudulent in real time. Make more effective and efficient use of investigative resources by targeting high-risk cases accurately, and highlighting reasons for suspicion.

Proof it works

Nucleus Research reported that 94% of SPSS customers achieved a positive ROI and average payback in 10.7 months. This is one of the highest ROI scores Nucleus has ever seen in its Real ROI series of research reports.

First Tennessee Bank created a 600% increase in uptake of cross-sell campaigns, increased response rates by 3% and reduced mailing costs by 20%.

Memphis Police Department are keeping ahead of criminals by finding the “hot spots” using predictive analytics which has resulted in a 30% reduction in serious crime and a 4x increase in cases solved from 16% to 70%.

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Session Abstracts

Opening session: The Predictive Analytics Advantage

Predictive analytics informs and directs decision making by applying a combination of advanced analytics and decision optimisation to an organisation’s data, with the objective of improving business processes to meet specific organisation goals. It is through the analysis of past, actual data, that organisations are better equipped to predict future outcomes and make decisions appropriately.

This opening session will introduce you to the concept of Predictive Analytics, what it is, how it works, and what it can do for your organisation. Explore case studies from IBM SPSS customers across a wide range of industries to find out how they have benefited from the implementation of predictive analytics.

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Predictive Customer Analytics

Achieving Customer Intimacy

Recent technology advances have not only changed the way people purchase products and services, but have also raised the bar in terms of customer support. B2B and B2C customers today expect a more personalised buying experience—and they’re leaving volumes of digital fingerprints behind that provide valuable clues about their needs and preferences.

By embedding predictive customer analytics within your business processes, you can deliver a positive customer experience that builds greater customer loyalty.

In this session, you’ll hear how innovative organisations are optimising operations, attracting and retaining highly profitable customers, using social media to capture new markets and improve the customer experience, and how IBM SPSS solutions work together with campaign management solutions to increase visibility into customer intentions and needs, and help you automate highly effective marketing programs.

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Predictive Operational Analytics

Achieving Operational Excellence

Being smarter means moving away from the broad brush long-term planning approach to becoming much more agile and able to respond to each customer uniquely - we call this operational excellence. Operational excellence allows an organisation to become agile by focusing on the intricacies that a business faces on a daily basis.

In this session you will find out how IBM SPSS solutions can help you act smarter by helping you manage your physical and virtual assets -- from identifying the right physical inventory to stock in your multi-tier supply chain to assessing how many components to purchase to support your production facilities. You will also take away knowledge on how to maintain your physical infrastructure and capital equipment and maximise your capital – ensuring you are allocating your people and cash in the most efficient manner, in the context of your business processes

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Predictive Threat and Fraud Analytics

Protect your Organisation from Threats and Fraud

As organisations become more instrumented, interconnected and intelligent this also brings slightly different challenges to light, with new possibilities comes new complexities and new risk. Organisations must protect themselves and control how they manage and act on threat and fraud; moving towards a more preventative and proactive approach rather than a corrective one.

In this session you will learn how organisations are using predictive analytics across their operations to manage threat and fraud, including how to monitor your environment by including a wide variety of data from across multiple sources. Detect suspicious behaviour to identify threats, information breaches, crime or fraud and control outcomes to deliver the best response to reduce exposure or loss and maximise the impact of any action taken.

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Rich HoladaRich Holada heads IBM’s predictive analytics group, which includes the SPSS line of software and solutions. Holada is responsible for setting the strategic and technological direction of the group, as well as overseeing its day-to-day operations, from global product development to sales and marketing. With Business Analytics as a key growth area for IBM, Holada is focused on helping customers solve real-world business problems through predictive analytics to create a Smarter Planet.

Previously, Holada was CTO of predictive analytics which included global responsibility for product marketing, product strategy, research and development, and technical support for the IBM SPSS predictive analytics brand. He joined SPSS, prior to its acquisition by IBM, in November 2006 as Senior Vice President of Research & Development, bringing with him nearly 20 years of deep software research and development background and diverse experience in the technology industry.

Previously, Holada has held senior level posts with Oracle Corporation and PeopleSoft, Inc., both leading CRM technology organisations. At PeopleSoft, Inc. he was the senior technical executive responsible for creating the industry-leading PeopleSoft CRM product offering.

Holada has also held senior research and development positions at Trimark Technologies, Inc., where he transformed the firm from a consulting operation to a software product company, as well as at Intelligent Trading Systems, Inc. and Sun Microsystems, Inc.

Holada received his B.S. in Computer Science from University of Illinois, Champaign, and his Juris Doctorate from John Marshall Law School in Chicago, graduating cum laude with honors.

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Predictive Analytics: The Power To Predict Who Will Click, Buy, Lie, or Die

Eric Siegel, Author of Predictive Analytics and Founder of Predictive Analytics World


The excitement over big data has grown so dramatically as to assume the status of a Movement. But what is the value, the function, the purpose? The most actionable thing to be gained from data is prediction. This is achieved by analytically learning from data how to render predictions for each individual. Such predictions drive more effectively the millions of decisions that organisations make every day.  In this keynote, Predictive Analytics World founder and Predictive Analytics author Eric Siegel reveals how predictive analytics works, and the ways in which it delivers value to organisations across industry sectors.

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What is predictive customer analytics?

Speaker: Jason Burke, Principal Advanced Analytics, IBM


In this session, you’ll hear how innovative organisations are optimising operations, attracting and retaining highly profitable customers, using social media to capture new markets and improve the customer experience, and how IBM SPSS solutions work together with campaign management solutions to increase visibility into customer intentions and needs, and help you automate highly effective marketing programs.

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Analytics in the Cloud: Accelerate Your Time to Value

Speaker: Karen Hardie, Senior Technical Sales Consultant,


Leave the management of infrastructure and software to IBM and accelerate your time to value with Software- as-a-Service (SaaS) solutions from IBM. IBM has over 70 best-in-class SaaS applications and business process-as-a-service capabilities available in Australia, all delivered with the enterprise-grade security, availability and elasticity you expect from IBM. This session will discuss the advantages of Cloud Solutions and look at some of the IBM predictive and social analytics platforms that are available to you now.

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First look at predictive operational analytics

Speaker: Angelica Veness, Business Analytics Solutions Architect, IBM


In this session you will find out how IBM SPSS solutions can help you act smarter by helping you manage your physical and virtual assets -- from identifying the right physical inventory to stock in your multi-tier supply chain to assessing how many components to purchase to support your production facilities. You will also take away knowledge on how to maintain your physical infrastructure and capital equipment and maximise your capital – ensuring you are allocating your people and cash in the most efficient manner, in the context of your business processes.

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Indepth view of data mining & decision management

Speaker: Angelica Veness, Business Analytics Solutions Architect, IBM


This session is for business leaders who would like to remove the blind spots that hinder informed decisions, and achieve the next generation of efficiencies by providing precise, contextual analytics and insight at the point where these items can make a direct impact on business (point of impact). Doing so can enable micro-optimisation, improving insight into patterns of customers, processes, and businesses, and deliver better real-time decisions and actions in every area of the organisation.

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Detailed look at customer analytics technologies

Speakers: Mike Bonner, Business Analytics Specialty Architect, IBM
David Pirie, Business Analytics Specialty Architect, IBM


During this deep dive customer analytics session see how the various components of the IBM SPSS Predictive Analytics platform can come together to deliver a compelling client value experience. This session will take the wraps off the components of the solution with detailed product demonstrations on how to take client engagement to the next level. Attend this session to discover how to begin your journey.

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Put your head in the Clouds: How Analytics in the Cloud really works

Speaker: Karen Hardie, Senior Technical Sales Consultant, IBM


Discover how IBM Software as a Service (SaaS) can help you get the power of predictive analytics easily, quickly and with no need to buy infrastructure. Attend this session to see how you can use IBM SaaS solutions including Social Media Analytics ,SPSS Data Collection, Marketing Centre and Cognos Concert to discover trends, patterns and relationships in your data and help you decide on the next best course of action. This session is geared toward audiences that are interested in a deeper dive into the predictive techniques that are available on the Cloud.