Get started with data mining & text analysis

IBM SPSS Modeler extends the value of Big Data through algorithms purpose-built for massive scale analytics, introduces geospatial analytics and continues to expand accessibility to and usability of advanced analytics.

Join our Technical Solutions expert, Dusan Magula, for a demonstration with live Q&A and learn about:

* SPSS Modeler Personal Edition that puts predictive power in the hands of an individual user
* New algorithms for Big Data and Geospatial analysis
* Predictive Extensions that bring the flexibility and power of R to SPSS Modeler users “code-free”

IBM SPSS Statistics continues to increase accessibility to advanced analytics through new ways to analyze data including geospatial analytics, new and improved algorithms, and support for more data types and better reporting, including the next generation of web reports. Watch this live webinar to view firsthand how you can:
- Uncover hidden casual relationships among large number of time series using temporal causal modeling (TCM)
- Use geospatial analytics to find trends over time and space and also to create association rule that incorporate geospatial attributes
- Utilize specialized techniques to improve flexibility and productivity

The webinar also includes a live demo of IBM SPSS Statistics version 23.

IBM is taking predictive everywhere, making it more accessible, more capable, and speeding time to value. New capabilities are expanding the kind of analysis that can be done, opening the door to new users, and helping make the vision of “Predictive Everywhere” – a reality. Join this live webinar to hear first-hand how you can:
- Solve complex business problems with optimization with the latest toolkit for mathematical and constraint programming.
- Integrate predictive and prescriptive analytics to transform insights into targeted planning and scheduling, supply chain and asset utilization actions that generate competitive advantage.
- Leverage the cloud for deployment, extensibility and scale through the latest cloud offerings and community assets.

Text Analytics for Surveys Webinar

Unlock information from open ended survey responses

In this presentation we explain how you can gain insight from your open ended responses without having to read them word for word or manually code them with IBM SPSS Text Analytics for Surveys.

We demonstrate the potential of text analytics for uncovering themes and sentiments in open-ended survey responses and how to easily make your text survey responses usable in quantitative analysis.

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You will see how text mining enables you to

automate the process of categorizing free text responses
identify major themes without reading responses word for word
distinguish between positive and negative comments easily.
After categorising the free text you will see how you can report back on the new categories created through text mining and how, by combining with other data we have collected, it can be used to create detailed reports on respondents opinions.

Save time and gain more insight about what your respondents are really saying with Text Analytics for Surveys.

Unions and Non-profits share a common core: success is critically dependent on their ability to maintain active and involved supporters as well as continuously attracts new participation. With increased competition for support and limited resources available, organizations must be smart and efficient with their outreach efforts.. This can be made possible with predictive analytics - a tool that unlocks the hidden insights and patterns in your organizations' data and allows you to make strategic decisions that are best-fit for your organizations needs.

Join us in this webinar on IBM Predictive Analytics Solutions, as we:
- Discuss the relevance of predictive analytics to the needs of your organization
- Demonstrate the ease of use and value of IBM Predictive Analytics
- Help you understand how to engage and retain your members

From a marketer’s perspective, by looking at why a customer is valuable to us, we can understand the characteristics of our most valuable customers and use this to predict which new customers we should target. Join this session to understand how predictive analytics can help you to target those only most likely to respond to offers, identify which offers to send to these customers and tailor your products and offerings towards customers’ specific needs.

Hear how IBM SPSS Direct Marketing can help direct marketers to gain deeper customer insight and improve the profitability of marketing campaigns, by:

Identifying which customers are likely to respond to specific promotional offers.
Developing a marketing strategy for each customer group.
Comparing the effectiveness of direct mail campaigns.
Boosting profits and reducing costs by mailing only to those customers most likely to respond.
Identifying by postal code the responses to your campaigns.

Unlock insight from almost any type of data and find the answers you need.

Organisations of all sizes rely on data mining and text analytics to reveal insights hidden in their data to help them..

Improve patient care and treatment plans
Anticipate, prevent and solve crime
Attract and retain profitable customers
Forecast and plan ahead more accurately
Detect and prevent fraud
Predict customer buying behaviour
Reduce asset downtime and improve product quality
Improve customer, employees, citizen, patients satisfaction.
In this presentation we explain how these technologies work and show you how you can easily get started with data mining and text analytics with IBM SPSS Modeler as it requires no programming.

You don't need advanced analytical skills to be able to build predictive models in the visual, interactive interface that guides you through each step and automates predictive modelling. Professional analysts can build sophisticated streams with the advanced modelling capabilities.

Whats's hidden in your data? Find out with data mining and text analytics.

Learn how you can use IBM's Predictive Customer Intelligence to deliver valuable insights, increase satisfaction and drive revenue growth, both for you and your clients!

A spreadsheet is a wonderful invention and an excellent tool – for certain jobs.
All too often, however, spreadsheets are called upon to perform tasks that are beyond their capabilities.

Whether you are a basic business user, analyst or programmer IBM SPSS Statistics will help you move beyond spreadsheets to find the answers you need to run your business better, faster, more efficiently and more profitably.


Join us for this 40 minute webinar and see how you can easily
• Import and merge data from different sources
• Manage large data sets - millions of rows in fact.
• Eliminate costly sorting jumbles and identify duplicate or missing records.
• Automate reports, analysis or charts and update them with a single click.
• Use words instead of numeric code - no more guessing what variables means.
• Use advanced analysis techniques.

In today's competitive marketplace, building long lasting relationships with customers is key to increasing customer lifetime value, satisfaction and advocacy. But as the modern multi-channel consumer becomes more empowered than ever, organizations are struggling to identify the right customers to target with the right offers through the right channels – let alone deliver this in the most cost-efficient way. By leveraging customer analytics, organizations move from reacting - chasing after a customer who has already defected, to predicting - proactively reaching out to customers to ensure satisfaction and recurring business.

In this webinar, IBMWW Predictive Analytics Retail Sector Leader Colin Linsky will cover 5 key strategies to enhance customer loyalty:
- Understanding drivers that affect customer loyalty
- Targeting those customers who will deliver the most value
- Delivering personalized offers to customers to strengthen relationships and drive revenue
- Identifying indicators that lead to defection and proactively retaining at-risk customers
- Turning satisfied customers into loyal advocates

(Will be hosted in English)

Demand Forecasting and Planning

Quickly and easily develop reliable forecasts using time-series data whether you are a novice or experienced analyst.

Predictive Analytics enables analysts to predict trends and develop forecasts quickly and easily—without being an expert statistician. People new to forecasting can create how processes. You get the information you need faster because the software helps you every step of the way.

In this presentation, we explain the advanced statistical techniques and time saving features that will help you develop accurate and robust forecasts and predict future trends regardless of your level of expertise.

Discover how to:

• Reduce forecasting errors
• Reduce excess inventory and avoid wastage
• Forecast demand for key resources
• Automatically build models
• Update and manage forecasting models more efficiently
• Develop reliable forecasts quickly, no matter how large the dataset or how many variables are involved
• Easily convert transactional data into time-series data

For further information please call us on 0845 345 0935 or email spssmktg@uk.ibm.com

Join us for a webinar that will show you how you can perform both text analysis and data mining within an interactive, visualisation-based environment.

Many corporations, government agencies and academic institutions around the world rely on IBM SPSS Modeler Premium to reveal insights hidden in their data that will help them improve outcomes and reach their goals.

The intuitive graphical interface makes it easy to see every step of the data mining process as part of the “stream”. Text analytics is straightforward and efficient, with interactive graphs to help you explore and display text data and patterns for instant analysis, as well as powerful classification and categorisation techniques that transform text into an analytical asset.


Who uses IBM SPSS Modeler Premium?

Banking and financial services firms make their marketing campaigns more effective, evaluate credit risk more reliably and spot potentially fraudulent activities more efficiently.
Insurance companies fine-tune marketing efforts and streamline claim processing while identifying fraudulent claims more reliably.

Telecommunications companies develop more intimate customer relationships in order to build loyalty and reduce customer defection or "churn".

Retailers improve their assortment planning and fine-tune their marketing and customer loyalty efforts.

Utilities and energy suppliers offer more personalized service to customers. Analytics also plays a role in preventive maintenance, which results in greater reliability at less cost.

Government agencies manage functions as diverse as tax audit selections, military force recruitment and proactive policing and public safety.

Healthcare organisations use predictive intelligence to proactively manage their resources and fine-tune their practices to provide better patient care customers. Analytics also plays a role in preventive maintenance, which results in greater reliability at less cost.

Get Started with Customer Analytics

Get an accurate view of people’s attitudes, preferences and opinions

Today's leading organisations recognise that the key to their business success relies on gaining deeper insight. In order to get a more complete picture, they must utilise data from a variety of different sources.

IBM SPSS Data Collection delivers an accurate view of people's attitudes, preferences and opinions so that this valuable insight can be included in decision-making processes.

This presentation begins with an overview of the IBM Customer Analytics and then moves on to cover the features and capabilities of SPSS Data Collection, where you will get an opportunity to find out more about how to:

• Create a survey which will reach all constituents, regardless of language or location
• Incorporate sophisticated survey logic and data validation to ensure clean, high quality data
• Manage the entire survey process – from design and interviewing through to analysis and reporting
• Leverage advanced analytical capabilities through integration with SPSS Statistics, SPSS Modeler and IBM Cognos

For further information please call us on 0845 345 0935 or email spssmktg@uk.ibm.com

Fix it before it’s broken!

Can you spot problems before they happen to allow you to plan for asset failure, not simply react to it?

Do you want to eliminate unnecessary scheduled maintenance and reduce overstocking of spare parts?

Add Predictive Maintenance to your tool kit and consider the job done!

In this one hour presentation we explain what predictive maintenance is and how it works, with examples of how your peers are using their existing data to

Predict when or where asset or part failure is likely to occur
Determine optimum corrective action
Minimise unscheduled maintenance
Optimise maintenance schedules
Enable in depth root cause failure analysis
Reduce warranty claim costs

If you're wondering how predictive maintenance could work for you this is your chance to find out.

For further information please call us on 0845 345 0935 or email spssmktg@uk.ibm.com

How can you keep more students enrolled until graduation...by knowing who's most likely to leave!

You are undoubtedly aware of the costs that you incur when students leave before graduating, have you ever thought how you might change things if you knew exactly which students were most likely to leave?

Hear how Dr Phil Ice from the American Public University System, can now predict with approximately 80 percent certainty whether a given student is going to drop out.

Join us for this webinar where you can learn how you can improve student recruitment and retention using predictive analytics.

Decrease student attrition and increase graduation rates
Increase student retention rates from first to second year
Determine which students are at-risk of dropping out - early-on
Prioritise individual intervention measures and optimise those intervention measures within available resources
Determine primary factors that lead to students to drop out
Identify which students are most likely to graduate on-time
Reduce costs and better manage attrition through tighter recruiting
Effectively identify and recruit students using the right marketing mix, who are the best fit for your university


“ Attracting and enrolling new students is expensive, so losing them is costly for us and for students as well. That is why we are excited about using predictive analytics to keep retention rates as high as possible.”
Dr. Frank McCluskey, provost and executive vice-president, APUS


For further information please call us on 01483 718528 or email spssmktg@uk.ibm.com

Intelligence led policing taken to the next level

Law enforcement faces greater challenges than ever before. In addition to promoting public safety and combating crime and violence, your agency has the added burden of managing limited resources. At the same time, the public expect you to deliver the highest level of safety and security.

To meet these challenges, law enforcement agencies are trying a variety of approaches. Innovative information technologies are playing a key role in improving the ability to anticipate events and respond appropriately. Predictive analytics is one of the key technologies helping police departments worldwide to improve their crime fighting results.

Hear how Larry Godwin, Director of Police Services for Memphis Police Department, pioneered a way to focus existing patrol resources more intelligently - which has reduced overall crime volume by 30%

Attend this webinar to discover how you can:

Improve your prevention capability and control costs by deploying personnel where they're needed most
Predict which types of events are most likely to escalate so you can guard against this escalation
Conduct new investigations more efficiently
Discover patterns in your data that suggest areas for further investigation
Explore security threats and study the people and organisations involved
Deliver information to the field, where and when it's needed
Allocate resources at the right time to lower the cost of operations

Predictive Analytics for Housing Associations

What if you knew in advance which tenants are most likely to default on payments or which equipment is likely to need repairing before it breaks?

Think of all the money you could save not to mention the increase in customer satisfaction.

At IBM SPSS, we are currently working with many UK Housing Associations to help provide better service, give insight to predict when assets need maintenance to replace the need for scheduled and preventative maintenance and importantly to allow you to detect which tenants are most likely to fall into arrears.

In this webinar specifically for Housing Associations, we will explain how you can use predictive analytics to ...

Identify the tenants most at risk of falling into arrears before they do.
Understand which tenants continue to default on their payments and transfer between houses within the association undetected
Replace the need for scheduled maintenance, to give the Housing Association confidence to predict when assets need maintenance, to save money on property upkeep and storage of replacement parts and allowing you to redirect that money towards better customer experience.
Get maintenance right first time by doing the basics well, ensuring call centres can reliably match notes with engineer logs.

For further information please call us on 0845 345 0935 or email spssmktg@uk.ibm.com

Driving evidence-based decision-making with predictive analytics

Health care institutions are awash with data and in this complimentary webinar we explain how predictive analytics can help you make sense of all that information to improve patient care and reduce costs.

Findings can be used as evidence that, together with stakeholder involvement, professional expertise and clinical experience, will support operational decisions to improve service delivery both locally and nationally.

We will show you how you can:

Reduce readmission rates and did not attends
Improve patient satisfaction
Predict optimal treatments
Allocate resources effectively by forecasting demand
Predict maintenance of equipment

There is short demonstration of predictive analytics being used to analyse clinical patient data in order to better manage outcomes in patients with chronic disease.

Case studes covered include how predictive analytics is being used in hospitals in the UK and Ireland to reduce readmission rates and average length of stay, analysing complaints to identify key factors of patient dissatisfaction, improving bed management and key factors in bed availability and quality improvement and monitoring.

Healthcare organisations around the world are forecasting future events and trends with IBM SPSS predictive analytics. They're then using this insight to improve patient care and operational efficiencies.

Find out how you can do the same.

Save time...Save Money...Save Resources...Improve Efficiency.


For further information please call us on 0845 345 0935 or email spssmktg@uk.ibm.com