IBM Cognos SPSS
Uncover unexpected patterns for predictive analysis
SPSS Predictive Analytics Software is the world’s leading statistical software for business, government, research and academic organisations.
By applying predictive analytics solutions to data you already have, your organisation can uncover unexpected patterns and associations and develop models to guide front-line interactions.
IBM SPSS is the world's market leader in statistical software.
IBM SPSS has helped organisations around the world:
- identify which customers are likely to respond to specific promotional offers
- boost profits and reduce costs by targeting only the most valuable customers
- forecast future trends to better plan organisational strategies, logistics, and manufacturing processes
- detect fraud and minimise business risk
- analyse either/or outcomes, such as patient survival rates or good/bad credit risks
- report results clearly and efficiently
- understand which characteristics consumers relate most closely to your brand
- identify groups, discover relationships between groups, and predict future events
The SPSS solution offers the following:
- IBM SPSS Statistics puts the power of advanced statistical analysis in your hands.
- IBM SPSS Modeler, helps you quickly discover patterns and trends in your data more easily, using a unique visual interface supported by advanced analytics.
- IBM SPSS Data Collection gets you an accurate view of people's attitudes, preferences, and opinions.
- IBM SPSS Deployment products drive high-impact decisions by making analytics a vital part of your business.
SPSS Features
IBM SPSS Statistics
IBM® SPSS® Statistics is a comprehensive, easy-to-use set of data and predictive analytics tools for business users, analysts and statistical programmers.
Whether you are a beginner or an experienced analyst or statistician, IBM SPSS Statistics puts the power of advanced statistical analysis in your hands.
Why IBM SPSS Statistics?
IBM SPSS Statistics offers the full scope of statistical and analytical capabilities that organisations require.
SPSS Modeler
IBM® SPSS® Modeler is a powerful, versatile data mining workbench that helps you build accurate predictive models quickly and intuitively, without programming.
Discover patterns and trends in structured or unstructured data more easily, using a unique visual interface supported by advanced analytics. Model outcomes and understand what factors influence them so you can take advantage of opportunities and mitigate risks.
Why SPSS Modeler?
SPSS Data Collection
IBM® SPSS® Data Collection is a complete suite of products for survey, market, or business researchers. It enables them to quickly and efficiently acquire clean data from the widest range of sources using an expansive array of methods.
This is increasingly important as business today demands faster, more representative and more cost-effective surveys for deeper insight into customers’ thoughts and opinions. Both commercial organisations and market research firms rely on its advanced technologies.
Why SPSS Data Collection?
IBM SPSS Data Collection products provide everything they need to meet or exceed those demands.
SPSS Collaboration and Deployment Services
With IBM® SPSS® Collaboration and Deployment Services, you can manage analytical assets, automate processes and efficiently share results widely and securely.
When the people developing and the people using analytics can collaborate, your analytic efficiency soars. By providing ways to automate and integrate ongoing analytical processes, you see better results, every time. And when you deploy scores and models at the point of impact, your ROI soars.
Why SPSS Collaboration and Deployment Services?
SPSS Decision Management
IBM® SPSS® Decision Management enables business users to automatically deliver high-volume, optimised decisions at the point of impact to achieve superior results.
Employing both predictive models and business rules to generate recommended actions, IBM SPSS Decision Management provides a "closed loop" system, feeding the results of today’s interactions into the models that recommend and drive tomorrow’s.
Why SPSS Decision Management?
So where do you start?
The Cortell team will work with you to identify your organisation’s biggest and highest priority challenge to kick off the initiative ... where analytics will have the greatest impact.
We look at your biggest problems, such as customer retention, anti-fraud as well as what could be the next biggest opportunity for your organisation.
Typically, organisations begin with efficiency goals, then address growth objectives, and lastly, design finely-tuned approaches to the most complex business challenges. As this occurs, adoption both spreads and deepens.
Just one small initiative can deliver mind boggling business value. This can be the catalyst for an enterprise use of SPSS capabilities within your organisation.
As analytics continue to grow within your organisation, the Cortell team can help you build a centralised analytics unit (Centre of Excellence), making it possible to share analytic resources efficiently and effectively.
SPSS White Papers
Decisions that drive success
Using decision management as a competitive advantage
In this white paper, you’ll learn how decision management works with existing technologies to create a closed-loop system that continually incorporates valuable feedback into your decision-making processes.
Analytics: The new path to value
How the smartest organisations are embedding analytics to transform insights into action
The combination of an increasingly complex world, the vast proliferation of data, and the pressing need to stay one step ahead of the competition has sharpened focus on using analytics within organisations.
Making your enterprise ready for optimised decision-making
The next level of operational decision-making
To meet today’s performance goals – increases in revenues and profits, cost reduction, risk management and other improved outcomes –organisations know that they cannot continue to operate the way they have in the past.
Five predictive imperatives for maximising customer value
Applying predictive analytics to enhance customer relationship management
Strengthening customer relationships is imperative for business success for one simple reason: customers drive profits
Operationalizing Voice of the Customer:
How top performers create actionable insight.
Voice of the customer (VOC) is a market research technique defined as the process of capturing a customer's expectations, preferences and aversions. Ideally, Voice of the Customer analysis produces a detailed set of customer wants and needs that is prioritized by company objectives or strategic goals. Additionally, VOC typically consists of both qualitative and quantitative research processes. Hypatia Research found that the majority of VOC initiatives are designed to address four distinct business issues:
- Customer Service & Support
- Product Pricing, Quality, Innovation & Ideation
- Customer Analysis, Profiling & Segmentation
- Brand Reputation Management.
SPSS on YouTube
First Tennessee Bank boosts profitability with IBM SPSS software. The video has detailed insights from IBM SPSS and IBM Cognos business analytics software help First Tennessee employees provide the right products to the right customers at the right time.
Infinity Insurance uses IBM SPSS predictive analytics software to cut fraudlent claims, increase subrogation returns and cut cycle times for better business outcomes.
Jing Shyr IBM SPSS Cheif Statistician Discusses Advancing Predictive Analytics
SPSS Discussion/Quote/Demo Request
IBM Cognos Business Analytics software helps your organisation better understand, anticipate and shape business outcomes. You can achieve breakthrough results and outperform your competition.
Cortell Australia will engage your team with senior business consultants who will help you assess which capabilities within IBM Cognos Business Analytics derive the most business value.
We offer an initial high level assessment followed by a customised demo and quotation. We can also help you build your internal business case.
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