predictive

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KONE Implements Predictive Maintenance with IBM Watson IoT

Published By: IBM     Published Date: Dec 05, 2016
Learn directly from KONE's expert about their recent IoT experience in implementing predictive maintenance (PMQ) and IoT. The session will cover: 1) KONE's business area that the PMQ and IoT solution is supporting, and the metrics used to measure success; 2) KONE's Predictive Maintenance and IoT Platform use case, key personas, savings and benefits realized; and 3) Observations from implementation, including: a) The analytics journey at KONE; b) Organizational change (culture, processes, etc.); c) Measurable maintenance benefits; d) Implementation considerations, learnings, going forward; and e) Future projects and capabilities.
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ibm, leadership, watson, watson iot, predictive maintenance, enterprise applications, business technology
    
IBM

From Business Insight to Business Action

Published By: IBM     Published Date: Jan 18, 2017
The synergy between predictive analytics and decision optimization is critical to good decision making. Predictive analytics offers insights into likely future scenarios, and decision optimization prescribes best-action recommendations for how to respond to those scenarios given your business goals, business dynamics, and potential tradeoffs or consequences. Together, predictive analytics and decision optimization provide organizations with the ability to turn insight into action—and action into positive outcomes. In this white paper, you’ll gain a better understanding of: The difference between predictive and prescriptive analytics How predictive and prescriptive actions complement one another to help you achieve optimized business decisions IBM’s approach to creating a powerful end-to-end decision management system
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ibm, predictive analytics, decision optimization, synergy, decision making, business goals, prescriptive analytics, decision management
    
IBM

Predictive Analytics in Customer Experience: The Secret to Great Customer Relationships

Published By: IBM     Published Date: Jan 18, 2017
Many companies can't predict which customer they will retain or which customers will increase their spend. With predictive analytics they can. This knowledge brief from Aberdeeon Group highlights research findings that show organizations which apply predictive analytics are able to: Establish timely and accurate insights into customer behavior. Empower employees to do their jobs more effectively. Encourage more repeat business and higher wallet share
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predictive analytics, customer experience, customer relationships, customer retention, customer behavior, residual business
    
IBM

Seven Reasons You Need Predictive Analytics Today

Published By: IBM     Published Date: Jan 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
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predictive analytics, increase sales, customer retention, fraud management, consumer expectations
    
IBM

Quantifying the value of counter fraud Analytics in insurance

Published By: IBM     Published Date: Jan 26, 2017
By taking full advantage of the integration and advanced capabilities currently being offered by leading counter fraud solution providers - including predictive analytics and cognitive computing - enterprises can expect to achieve significantly better outcomes.Aberdeen Group's analysis helps to quantify the value of counter fraud analytics in the insurance industry.
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ibm, analytics, fraud analytics, insurance, fraud
    
IBM

Hypatia Research Report: How Customer Analytics & Insight Research Enrich Customer Journey Design

Published By: IBM     Published Date: Feb 27, 2017
Why do organizations seek to design effective multi-channel customer journeys? Because customers today demand it. Download this research study from Hypatia Research Group to learn how global organizations are successfully utilizing various analytical techniques like descriptive, diagnostic, predictive, prescriptive and cognitive analysis to create a successful omni-channel customer journey.
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hypatia research group, cognitive analysis, predictive analysis, customer journey
    
IBM

Retain and Delight Your Customers by Applying IBM Predictive Customer Intelligence

Published By: IBM     Published Date: Feb 27, 2017
Download and read this detailed “Redbook” from IBM to learn more about the capabilities and benefits you can realize from using IBM Predictive Customer Intelligence (PCI). You’ll learn how to use this sophisticated solution to enhance your customer relationships across all your channels and touch points.
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ibm, predictive customer intelligence, pci, customer relationships, channel integration
    
IBM

Driving Growth And Profitability: Find New Revenue Opportunities With Predictive Analytics

Published By: IBM     Published Date: Apr 27, 2017
It’s hard to grow your business if you can’t see what’s coming next. What will the demand be for a specific product or service and how should you adjust production? What revenue can be expected and from which channels? Where are the best areas to expand your business? Predictive analytics can provide the answers executives, analysts and business managers need to reduce costs, operate more efficiently and increase the bottom line. Join IBM SPSS and guest Mark Lack, Manager of Strategy Analytics and Business Intelligence with industrial products company Mueller Inc. for a look at how to decrease costs and improve your business’ profitability with predictive analytics. You’ll learn how Mueller extends the value of its Big Data environment by applying predictive techniques to accurately forecast sales, prevent fraud and reduce losses from damaged inventory, saving the company significant time and money.
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predictive analytics, fraud detection, increase revenue, decrease costs, customer retention, hr efficiency, advanced analytics
    
IBM

From Business Insight To Business Action

Published By: IBM     Published Date: Apr 03, 2017
Businesses today certainly do not suffer from a lack of data. Every day, they capture and consume massive amounts of information that they use to make strategic and tactical decisions. Yet organizations often lack two critical capabilities when it comes to making the right decisions for the business: the ability to make accurate predictions about the future, and to then use those predicted insights in conjunction with organizational goals to identify the best possible actions they should take. The combination of predictive analytics and decision optimization provides organizations with the ability to turn insight into action. Predictive analytics offers insights into likely scenarios by analyzing trends, patterns and relationships in data. Decision optimization prescribes best-action recommendations given an organization’s business goals and business dynamics, taking into account any tradeoffs or consequences associated with those actions.
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predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources, data optimization
    
IBM

Improving Financial Performance With Predictive Analytics

Published By: IBM     Published Date: Apr 03, 2017
Predictive analytics is powerful. It can help drive significant improvement to an organization’s bottom line. Look for ways to use it to grow revenue, shrink costs and improve margins. Provide a platform that enables your data scientists to work efficiently using tools and algorithms they prefer. Enhance your analyses with internal and external data, structured and unstructured data. Then make the analytics accessible in order to reap the full benefits of these valuable analyses. Stay ahead of the curve in your market with predictive analytics, and give your organization a competitive advantage and an improved bottom line.
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predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources
    
IBM

Redefining Markets Insights from the Global C-suite Study – The CMO perspective

Published By: IBM     Published Date: Jul 14, 2017
Today’s CMO is responsible for selling experiences, not just products. Two-thirds of our respondents regard developing deeper, richer customer experiences as their top marketing priority. Learn how Torchbearer CMOs are meeting these expectations and expanding their roles by putting the entire customer journey first.
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technology advances, convergence, personalized customer experience, customer interaction, predictive analysis
    
IBM

Redefining Markets Insights from the Global C-suite Study – The CMO perspective

Published By: IBM     Published Date: Jul 14, 2017
Today’s CMO is responsible for selling experiences, not just products. Two-thirds of our respondents regard developing deeper, richer customer experiences as their top marketing priority. Learn how Torchbearer CMOs are meeting these expectations and expanding their roles by putting the entire customer journey first.
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cloud computing, mobile solutions, convergence, technology advances, predictive analysis, business value
    
IBM

BlueHill Research: Maximizing Insightful and Prescriptive Analytic Value for the Data - Driven Enter

Published By: IBM     Published Date: Oct 13, 2017
Blue Hill provides guidance on 1) the Customer Journey leading to a new generation of analytic tools, 2) key value propositions associated with moving to tools such as IBM Cognos Analytics and IBM Watson Analytics, and 3) recommendations for best practices in maximizing the value of insightful and predictive analytics for enterprise data.
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blue hill research, data analytics, ibm cognos, watson analytics, enterprise data
    
IBM

Linking Financial and Operational Planning to Steer Business Performance

Published By: IBM     Published Date: Apr 16, 2018
In this on-demand webinar from the Institute of Management Accountants (IMA), Sherri Liao of The Hackett Group and Jim Collins of IBM discuss the steps your organization can take to link financial planning to operational decision making more effectively. You’ll hear about: Simplifying and amplifying reporting Optimizing decision-making: Predictive vs. historical analytics Aligning finance and operations Reporting beyond finance to include cross-functional measures of performance The path to building a World-Class finance organization
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operational planning, financial planning, planning analytics
    
IBM

IDC Analyst Report: A New Breed of Servers for Digital Transformation

Published By: IBM APAC     Published Date: Mar 19, 2018
IDC Analyst Report: A New Breed of Servers for Digital Transformation Most organizations today are on a digital transformation journey and a server infrastructure is a critical component of that journey. Read the IDC Analyst Report “A New Breed of Servers for Digital Transformation" to find out: • A roadmap for servers in three stages - from running simple stateless web applications to adopting open source DBMSs to cloud to predictive modeling • How you can take advantage of OpenPOWER-based infrastructure from a price/performance perspective • Ways to lower your IT spend and increase your workloads with minimal investment
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IBM APAC

The Customer Intimacy Imperative

Published By: IBM Software     Published Date: Nov 02, 2010
Learn how the right blend of customer-centric strategies and advance analytic tools can help your business achieve advantage.
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ibm cognos predictive analysis, customer intimacy imperative, analytic tool, crm, business analytics, customer interaction service, customer relationship management, customer satisfaction, customer service, ebusiness
    
IBM Software

Five Steps to Improving Business Performance through Customer Intimacy

Published By: IBM Software     Published Date: Nov 02, 2010
This paper describes five practical steps companies can take to achieve customer intimacy and, by doing so, provide a springboard for excellence in the other critical value disciplines.
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ibm cognos predictive analysis, business performance, customer relationship, customer intimacy, application performance management, customer interaction service, customer relationship management, customer satisfaction, customer service, ebusiness
    
IBM Software

Using Data Mining to Detect Insurance Fraud

Published By: IBM Software     Published Date: Nov 02, 2010
Learn how leading insurance companies are using data mining techniques to target claims with the greatest likelihood of adjustment, improving audit accuracy, and saving time and resources.
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ibm cognos predictive analysis, data mining, insurance fraud detection, analytical technique, prevention, internet security, intrusion detection, intrusion prevention, business analytics
    
IBM Software

Business Analytics for Retail demo

Published By: IBM Software     Published Date: Nov 04, 2010
View this online demo to uncover how IBM Business Analytics is helping retailers to better connect with customers and create advantage.
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ibm cognos, business analytics, retail demo, business intelligence, predictive analytic, customer interaction, customer interaction service, customer relationship management, customer satisfaction, customer service, analytical applications
    
IBM Software

Decisions that drive success

Published By: IBM Software     Published Date: Nov 04, 2010
Learn how decision management optimizes and automates high-volume decisions to create successful outcomes.
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ibm cognos, predictive analytics, decision management, automation, business analytics, business process management, analytical applications
    
IBM Software

Seven Reasons You Need Predictive Analytics Today

Published By: IBM Software     Published Date: Nov 04, 2010
Learning from the past is one thing, but when real competitive advantage happens you get it right the first time.
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ibm cognos, predictive analytics, enterprise data, risk management, business analytics, enterprise software, analytical applications, database development
    
IBM Software

Five Predictive Imperatives for Maximizing Customer Value

Published By: IBM Software     Published Date: Feb 14, 2011
This white paper from IBM describes how a set of five predictive imperatives can help ensure that your company maximizes the value of its customer relationships and sustains higher levels of revenues and profits.
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ibm cognos, predictive imperatives, customer value, customer relationship, crm, customer interaction service, customer relationship management, customer satisfaction, customer service, ebusiness
    
IBM Software

Increasing Marketing Campaign Profitability with Predictive Analytics

Published By: IBM Software     Published Date: Feb 14, 2011
This white paper explores how predictive analytics helps marketing organizations increase ROI by executing highly targeted campaigns focused on high revenue-generating customers and prospects.
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ibm cognos, predictive analytics, marketing campaign management system, roi, customer behaviour, customer interaction service, customer relationship management, customer satisfaction, customer service, ebusiness, return on investment
    
IBM Software

Market Basket Analytics online demo

Published By: IBM Software     Published Date: Feb 14, 2011
View this online demo to learn how leading retailers are using market basket analysis to gain insights into buyer patterns to offer products and promotions that match shopper preferences and behaviors as well as to link purchases to specific buyers to create tailored offers.
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ibm cognos, predictive analytic, market basket analytics, online demo, retailer, shopper preference, consumer behavior, business analytics, business management, customer interaction service, customer relationship management, customer satisfaction, customer service, ebusiness
    
IBM Software
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