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SPSS’ long-term vision
Jason Verlen
Vice President, R&D, Worldwide Product Management, Chief Product Strategist
SPSS Inc.
USA
This session offered a unique opportunity to hear about SPSS’ technology vision, and provided answers for people who may have been wondering about how SPSS’ technology strategies would affect their organisation.
Among the wide variety of questions that were answered were:
- What is SPSS’ high-level product strategy?
- Is SPSS a tools or an applications company?
- Going forward, and considering SPSS’ broader product vision, will I still be able to use the tools that I depend on today?
- How do other SPSS tools and technologies work with the ones I already use?
- How can I implement them in my organisation?
- How can SPSS technologies help me deploy my work to other types of users in my organisation?
- What are some key capabilities that SPSS will soon release, and how will they benefit my organisation?
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Dimensions
Dimensions 5.0: what’s new and what lies ahead
Jane Hendricks
Product Marketing Manager
SPSS Inc.
This session focused on the new features introduced with Dimensions 5.0, showing how Dimensions 5.0 can help organisations build powerful surveys more easily than ever, how it can collect data in new and exciting ways, and ensure that decision-makers get the right data at the right time.
The session also addressed how Dimensions 5.0 not only enables business users to establish a dialogue with their customers, but also how it introduces features which revolutionise the research process itself. The presentation also took a high-level look into the future with discussions about the new data collection, analysis and reporting challenges on the horizon, and how Dimensions is positioned to address them.
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SPSS Predictive Enterprise Services
The Analytical Revolution: reaping the benefits of a predictive analytics infrastructure
Kathy Konkel
Product Marketing Manager
Colin Shearer
Senior Vice President, Marketing Strategy
SPSS Inc.
UK
More and more organisations are turning to predictive analytics to solve their business problems. While point solutions can deliver significant returns, the most visionary companies are going to the next level by adopting a predictive analytics infrastructure: a key step to becoming a Predictive Enterprise.
Attendees at this session learnt how to take their organisations beyond ad hoc analysis by:
- Delivering better results more quickly with a predictive analytics infrastructure
- Adopting a standard platform to share best practices, experiences, common analytical components, analytical data views and processes across applications and business areas
- Developing repeatable, scalable processes
- Monitoring their deployment of analytics across the organisation
- Combining the SPSS Predictive Enterprise Services platform with existing analytical tools to form the core of a predictive analytics environment.
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Text Mining for Clementine
Text Mining for Clementine: overview and roadmap
Eric Martin
Product Marketing Manager
SPSS Inc.
France
This session was intended for users of Text Mining for Clementine – or anyone who wished to learn more about how to leverage analytical or predictive applications to turn unstructured information into actionable knowledge.
Attendees heard how extracted concepts and categories can be combined with structured data and applied to create models to yield better and more focused decisions using Clementine’s full suite of data mining tools. In addition, they were told about automated translation and speech-to-text capabilities that can be added to Clementine to maximise the return on investment of any predictive application.
Among other topics, the sessions discussed these new features in Text Mining for Clementine 12.0/12.0.1:
- Enhanced support for verticalisation
– New Template Editor
– Updated libraries – Sentiment Analysis, CRM, Security Intelligence, Competitive Intelligence, Life Sciences (Genomics, Mesh®), IT
- Enhanced multi-lingual capabilities
– Support of Sentiment Analysis in five Languages (Dutch, German, English, French, Spanish)
- More than 14 languages available through Language Weaver.
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SPSS
A look at SPSS 16.0 and a preview of SPSS 17.0
Marcus Hearne
Manager, Product Marketing, Statistics
SPSS Inc.
USA
SPSS 16.0 continues our rich tradition of regularly adding significant new elements to our flagship software. SPSS users wanted to attend this session to learn about new SPSS 16.0 features such as:
- A new Java interface enabling Windows, Mac, and Linux versions of SPSS
- A searchable Output Viewer, resizable dialog boxes and much more
- More powerful statistics, including a new Neural Networks add-on module and enhanced algorithm support
- Improved data management features such as Unicode support, import/export of Excel 2007 data, and an enhanced Data Editor
- Better programmability through Python
- Support for the Predictive Enterprise with multi-threaded algorithms, and the SPSS Adapter for SPSS Predictive Enterprise Services.
As a bonus, this session also included a preview of things to look forward to in SPSS 17.0.
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SPSS Predictive Enterprise Services
SPSS Predictive Enterprise Services: overview and roadmap
Rod Reicks
Senior Product Marketing Manager
SPSS Inc.
USA
As predictive analytics becomes a key business process, organisations need to treat analytical objects as they would any other knowledge asset. Centralised, secure, auditable storage of these assets increases their value to an organisation.
The ability to automate the deployment of analytical results for use within business processes is critical to realising the value of predictive analytics in day-to-day operations.
SPSS Predictive Enterprise Services is an enterprise-level application that addresses key issues related to the widespread use and deployment of predictive analytics. It forms the backbone of the Predictive Enterprise, enabling organisations to manage analytical assets such as Clementine streams, SPSS syntax, Dimensions questions and scripts, report definitions and SAS® code.
It also automates analytical processes such as rebuilding and evaluating models, generating reports, and scoring multiple models within an operational environment.
In this session, attendees learnt more about SPSS Predictive Enterprise Services, including what’s new in Version 3.5, and saw a demonstration of Predictive Enterprise Services in action along with a preview of what SPSS is planning for the future.
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Clementine
Clementine 12.0 – data mining for predictive analytics
Tom Khabaza
Director of Product Marketing for Data Mining
SPSS Inc.
UK
This session was all about Clementine, SPSS’ leading data mining workbench, which delivers maximum productivity for analysts by offering a comprehensive range of capabilities, which are integrated through a visual workflow interface and support the entire data mining process.
It also covered:
- What is data mining and how does it fit with predictive analytics?
- How Clementine can be both a desktop tool and the core of a Predictive Enterprise
- New features in Clementine 12.0
- A look-ahead to the direction of future Clementine development.
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