WEBINAR: Predictive Forecasting with Time Series Analysis - 7 November 2017

Overview

Title: Predictive Forecasting with Time Series Analysis

Date: Tuesday, November 07, 2017

Time: 09:00 AM Pacific Standard Time

Duration: 1 hour

Summary

Predictive Forecasting with Time Series Analysis

The ability to accurately predict what is likely to happen at a point in the future, and build plans and strategies based on that knowledge, is essential to an organization’s success. But what happens when a forecast is inaccurate? What is the impact on a business, its customers or its partners? For businesses, the ability to catch even a tiny glimpse of what the future may hold can lead to happy customers, improved efficiency and productivity, and highly successful business decisions.

In this Data Science Central webinar learn how time series analysis better enables departments across your organization with actionable, more accurate insights related to the timing of equipment failure, customer offers, and the impact of effects like seasonality.

Speakers:

Murali Prakash,  IBM Product Manager  -- IBM SPSS
Mikhail Lakirovich, IBM Offering Manager  -- IBM SPSS
Douglas Stauber, IBM Offering Manager -- IBM SPSS

Hosted by: 

Bill Vorhies, Editorial Director -- Data Science Central

 

Register here

WEBINAR: SPSS Statistics to Predict Customer Behavior - 27 June 2017

Overview

Title: SPSS Statistics to Predict Customer Behavior

Date: Tuesday, June 27, 2017

Time: 09:00 AM Pacific Daylight Time

Duration: 1 hour

Summary

SPSS Statistics to Predict Customer Behavior

In today’s world, every organization is collecting and storing massive amounts of data about their customers. In order to take full advantage of this data, you should be equipped with the right tools that are powerful, easier to use and able to draw accurate conclusions in understanding the motivations behind customer behaviors. These tools will allow you to derive new insights, aiding in the decision making process. 

In this Data Science Central webinar, you’ll see firsthand how IBM SPSS Statistics will enable you to: 

• Quickly understand large and complex datasets using advanced statistical procedures ensuring high accuracy to drive quality decision-making
• Reveal deeper customer insights and provide better confidence intervals via visualizations and new analytical techniques
• Build a predictive enterprise making the business more agile and maximizing return on investment

Speakers:

Taylor Perez, Client Technical Specialist - IBM Software -- IBM Analytics 
Murali Prakash, Product Manager - IBM Global Markets -- IBM Analytics 

Hosted by: 

Bill Vorhies, Editorial Director -- Data Science Central

Reister here

WEBINAR: Data Science Made Simple with SPSS - 7 March 2017

Overview

Title: Data Science Made Simple with SPSS

Date: Tuesday, March 07, 2017

Time: 09:00 AM Pacific Standard Time

Duration: 1 hour

Summary

Data Science Made Simple with SPSS  

For decades, IBM SPSS® Statistics has been the trusted data analytics package for statisticians, researchers, and business analysts. That’s because it offers superior capabilities, flexibility and usability that are not available in traditional statistical software. Now, IBM SPSS Statistics is available by subscription, offering even greater speed and ease of use than ever before—with no more software licenses or worrying about version updates.

Join us for an overview of the new IBM SPSS Statistics Subscription. In this Data Science Central webinar, learn how you can start enjoying the benefits of a powerful, affordable data analysis tool that can help you more easily:
 

• Access, manage, and analyse virtually any kind of data set
• Gain reliable results with a broad range of tests and procedures    
• Use R and Python to further extend your capabilities   

Whether you are a beginner or an experienced analyst or statistician, IBM SPSS Statistics Subscription software puts the power of advanced statistical analysis at your fingertips. Register for this Data Science Central webinar to learn how you can start getting faster, more accurate results from your data today.

Speaker: Douglas Stauber, Offering Manager - IBM SPSS Statistics 

Hosted by: Bill Vorhies, Editorial Director -- Data Science Central

Register here

WEBINAR: Combining IBM SPSS Statistics and R for competitive advantage - 1 September 2016

Overview

Title: Combining IBM SPSS Statistics and R for competitive advantage

Date: Thursday, September 01, 2016

Time: 09:00 AM Pacific Daylight Time

Duration: 1 hour

Summary

Combining IBM SPSS Statistics and R for competitive advantage

In today’s world, the data is flowing from all directions: social media, phones, weather, location and sensor equipped devices, and more. Competing in this digital age requires the ability to analyse all of this data, and use it to drive decisions that mitigate risk, increase customer satisfaction and grow revenue.  Using a combination of proprietary software and open source technology can give your data scientists and statisticians the analytical power they need to find and act on insights quickly.

IBM® SPSS® Statistics provides all of the data analysis tools you need, and integrates with thousands of R extensions for maximum power and flexibility.  In this next Data Science Central Webinar event, we will show how SPSS Statistics can help you keep up with the influx of new data and make faster, better business decisions without coding. 

Speakers:
Murali Prakash, Portfolio Manager -- IBM Analytics 
Alex Oftelie, Subject Matter Expert -- IBM Analytics

Hosted by: 

Bill Vorhies, Editorial Director -- Data Science Central

Register here

WEBINAR: IBM SPSS Predictive Analytics series - 2, 9 and 16 March 2016

Webcasts

Select one or more of the following webcasts

What's New in Predictive Analytics Wednesday, March 02, 2016, 11:00 AM EST

What's New in IBM SPSS Statistics Wednesday, March 09, 2016, 11:00 AM EST

What's New in IBM SPSS Modeler Wednesday, March 16, 2016, 11:00 AM EDT

Register here

WEBINAR: 7 Reasons to combine SPSS Statistics and R - May 26, 2015

According to the Rexer survey,* R is the analytic software of choice for data scientists, business analysts, and data miners in the corporate world. Despite R's popularity, adoption of R has lagged due to a few limitations like:

• Collaboration & Deployment - R makes sharing work among an analyst team difficult, especially when team members do not have the same level of R knowledge.  Also, using R to integrate predictive outputs into an operational environment can be difficult.
• User Interface - R does not have a modern graphical user interface, which makes it difficult for those who are not R programmers to use it.
• Learning curve - R is not easy to learn for everyone. Not everyone is a programmer.
• Data Complexity - R does not easily connect to databases natively.
• Output - Production of publish-ready output is difficult.
• Performance & Scalability - R can very quickly consume all available memory.
• Enterprise security - The security of the packages that you download is not assured.

So if some of these challenges or limitations resonate with you, then join this webinar to really understand how you can overcome all these limitations by integrating R with IBM SPSS Statistics.

Speakers:
Jon K Peck, Senior Software Engineer, IBM SPSS
Murali Prakash, Product Marketing Manager, IBM

Hosted by:
Tim Matteson, Co-founder, Data Science Central

Sponsored by IBM - register here