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Published By: IBM Software     Published Date: Feb 11, 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
Published By: IBM Software     Published Date: Feb 11, 2011
Read this white paper to uncover why predictive analytics is becoming a necessity for companies to gain and maintain advantage.
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ibm cognos, predictive analytics, customer relationship, business analytics, customer interaction service, customer relationship management, customer satisfaction, customer service
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
This paper describes how to build a proactive threat and risk strategy based on predictive analytics and provides real life examples of the benefits.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis, ibm data analysis, smarter planet new intelligence, rfid, sensors and actuators, epedigree, track and trace, insurance fraud, data management, data mining, knowledge management, data storage, knowledge management software
    
IBM Software
Published By: SAS     Published Date: Aug 03, 2016
Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a Government Fraud Solutions Architect within the SAS Security Intelligence practice.
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finance, tax fraud, security, protecting revenue, opportunities, analytics, taxes, small business
    
SAS
Published By: TeamQuest     Published Date: Jul 11, 2014
In this whitepaper you will learn about the following: • Analytics and today’s optimization challenges • What REALLY matters • Desired state and results • Methodology and ideation examples – Business and service aligned – Automated and predictive IT analytics • Recommendations Download to learn more!
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mobile app, optimizing it, automated and predictive it analytics, it management, knowledge management, enterprise applications
    
TeamQuest
Published By: IBM     Published Date: Jul 24, 2012
Tax revenues have been declining recently and some of this loss is caused by fraud, tax evasion, and various forms of tax cheating. The ineffective recovery techniques can give government agencies poor results, which results in 20% of broad-approach audits ending in "no charge". By using IBM SPSS Predictive Analytics Solutions it is possible to maximize revenues, analyze the data you already collect, detect non-compliant accounts efficiently, and identify important differences in tax records. This program has tremendous power and features an easy to use interface that focuses investigations on case that yield large adjustments ensuring a successful ROI for clients.
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tax revenues, fraud, ibm, business analytics, spss solutions, tax cheating, roi, insurance, taxes, capital, finance
    
IBM
Published By: IBM     Published Date: Jul 24, 2012
Faced with a downturn in funding due to the global economic recession, nonprofit organizations need to improve their donor management capabilities so they can compensate for the reduction of government funding and diminishing level of donor contributions. Predictive analytics provides an effective way to understand and anticipate donor needs in order to increase the success of fundraising and marketing campaigns. Using this technology, nonprofits can gain a significant return on investment by increasing donor contributions, reducing costs and building stronger donor relationships over time. In this white paper, you'll learn how predictive analytics can help nonprofits achieve their funding goals by significantly improving the way they identify, manage and build relationships with donors.
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ibm, technology, marketing, predictive analytics, donor management, non-profit, business analytics, analytical applications, financial advisors, finance
    
IBM
Published By: IBM     Published Date: Aug 01, 2012
Discover how using predictive analytics can help your company convert prospects and cross-sell to existing customers. The campaign optimization capabilities provided with predictive analytics offer an unprecedented level of targeting and coordination across all channels - quickly resulting in decreased costs and increased revenue.
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ibm, marketing, technology, campaign profitability, predictive analytics, analytics, roi, crm, customer, business, white paper, business management, application integration, business intelligence, web service management
    
IBM
Published By: IBM     Published Date: Aug 01, 2012
Most CRM systems rely on historical analytics that provide a "rear-view mirror" of your customer relationships, offering little support for the decisions that shape the future. With predictive analytics, you can meet your customers' evolving needs with forward-looking insights that anticipate changes in customer attitudes, preferences, and actions. 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, technology, marketing, predictive analytics, predictive imperatives, customer value, customer relationship management, analytics, crm, revenue, profits, best practices, business analytics, analytical applications, business intelligence
    
IBM
Published By: IBM     Published Date: Aug 06, 2012
With customer analytics-including predictive analytics, social analytics, business intelligence, and decision management-companies are empowered to improve the customer experience and maximize business outcomes by being proactive, rather than reactive. Comments made in social channels about a perceived problem with a checkout tool on a company's website, for example, can alert company decision-makers about a potential issue before it hits the contact center.
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customer analytics, loyalty, profitability, revenue, ibm, transaction data, customer survey data, demographics, contact center, customer behavior, decision-makers, integrate, granular attributes, predictive analytics, life-stage changes, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Aug 07, 2012
Databases and information management systems let you describe, categorize, store, modify and analyze data. What if you could do the same with decisions? Your systems could learn from previous choices and manipulate them to fit new parameters to intelligently mold future decisions made by executives, everyday business users and even your systems to optimize outcomes. Read this a specially selected excerpt from James Taylor's new book, "Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics" to discover the guiding principles for building decision management systems that can help your organization differentiate itself from the competition at virtually every decision point.
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ibm, technology, decision management systems, business rules, predictive analytics, data, james taylor, business analytics, business intelligence, business management, analytical applications
    
IBM
Published By: IBM     Published Date: Aug 07, 2012
View this demo to find out how IBM SPSS® solutions for predictive customer analytics can deliver deep customer insights that help you tune your marketing efforts-effectively and efficiently attracting new customers, nurturing customer relationships and retaining ideal customers. Watch how IBM SPSS software uses existing customer information to help you do the following: Identify your best customers for targeted marketing programs with customer segmentation, cluster and profiling techniques; confidently predict which customers will respond to your offers with powerful predictive models; get more out of every customer interaction by delivering real-time, predictive intelligence to front-line decision makers; and enrich and deepen your customer insight with social media analytics.
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predictive customer analytics, ibm, decision management, consumer insight, customer, crm, customer relationship management, retain customer, grow relationships, rfm analysis, business intelligence, customer wants, customer interaction service, customer satisfaction, customer service
    
IBM
Published By: IBM     Published Date: Aug 07, 2012
Leading companies applying? Predictive intelligence? To proactively mitigate and manage complexity-fraught risks, while bringing value to their bottom line and their brand.
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combating, combat, risk, predictive, intelligence, companies, applying, proactively, mitigate, manage, complexity, value, personal finance, investing, small business, human resources management, finance
    
IBM
Published By: IBM     Published Date: Aug 07, 2012
As a claims management professional, you have to deal daily with formidable - and sometimes competing - challenges: provide superior customer experience; achieve operational excellence and cost containment; and effectively manage risk. Predictive analytics can help you improve each of these three outcomes, but more importantly, it helps strike the right balance among these three objectives for each new claim received. Read this white paper from IBM to learn about applying predictive analytics to claims management, including the typical ROI achieved, how embedded analytics improves decision making, and technology components of a predictive analytics solution.
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improving, claims, management, outcomes, predictive, analytics, claims, management, professional, formidable, competing, superior, customer, experience, operational, excellence, cost, containment, risk, predictive
    
IBM
Published By: IBM     Published Date: Aug 08, 2012
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
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ibm, technology, marketing, decision management, data, automation, optimization, business insight, predictive analytics, best practices, business integration, business management, business intelligence
    
IBM
Published By: IBM     Published Date: Aug 08, 2012
Manage physical and virtual assets, maintain your infrastructure and capital equipment and maximize the efficiency of your people, processes and assets with predictive analytics.
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ibm, technology, asset management, business management, predictive analytics, physical assets, virtual assets, infrastructure, capital equipment, workforce management
    
IBM
Published By: IBM     Published Date: Aug 08, 2012
Your goal is clear-produce high-quality goods while optimizing resources at every step of production. And in today's uncertain economy, cost-control efforts may never have been more important. Unscheduled downtime because of equipment failure can have a serious impact on your organization's bottom line. Download this white paper from IBM, and learn the basics of predictive maintenance, the benefits it provides manufacturing operations and the underlying technologies that make it possible. Predictive analytics helps you in a number of ways: identify when equipment is likely to fail or need maintenance and take action to maximize uptime and reduce future warranty claims costs; optimize allocated labor resources and spare part inventories, helping eliminate undue maintenance, prevent downtime and reduce inventory costs; and determine why certain production runs fail more often than others, identify the cause and analyze whether those runs warrant a recall.
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ibm, technology, manufacturing, predictive maintenance, productivity, minimize downtime, reduce costs, white paper
    
IBM
Published By: IBM     Published Date: Aug 08, 2012
With tight budgets, it isn't easy to create the operational dexterity needed to thrive in a competitive marketplace. View this demo to find out how IBM® SPSS® solutions for predictive operational analytics help manage physical and virtual assets, maintain infrastructure and capital equipment, and improve the efficiency of people and processes. By using your existing business information, IBM SPSS software can help you: predict and prevent equipment failures that can lead to disruptive, costly downtime; quickly identify and resolve product quality issues to mitigate risks and reduce warranty costs; optimize product assortment planning to increase revenue, reduce working capital requirements and improve the return on inventory investments; and act to retain your best employees by developing predictive attrition models to identify the workers at greatest risk of leaving the organization.
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ibm, technology, predictive operational analytics, spss, business analytics, business intelligence, business management, application integration, analytical applications, infrastructure
    
IBM
Published By: Adobe     Published Date: Aug 02, 2017
With Adobe Analytics and Adobe Audience Manager—both part of Adobe Marketing Cloud—media companies can overcome today’s audience intelligence challenges. Adobe Analytics is an industry-leading solution for applying real time analytics and detailed segmentation across all of your marketing channels. A unified platform and customer ID unlock powerful customer intelligence and help you discover and retain high-value audiences. Make forward-looking decisions with its predictive intelligence capabilities, and find out which of your marketing efforts are paying off with its attribution functionality.
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goals and kpis, data warehouse, resource management, insight loop, content and campaigns, audience optimisation
    
Adobe
Published By: CrowdStrike     Published Date: Feb 14, 2019
A SANS Review of CrowdStrike Falcon X While threat intelligence can transform an organization's security posture, it can also be complex and costly for organizations to adopt and operationalize. With that in mind, SANS Analyst Dave Shackleford tested CrowdStrike Falcon XTM threat intelligence and the report of his findings is now available. Falcon X enables cybersecurity teams to automatically analyze malware found on endpoints, find related threats and enrich the results with customized threat intelligence. The SANS Review of Falcon X encapsulates and explains the analyst’s findings and details how CrowdStrike can help your security operations center (SOC) team make predictive security a reality. Download this report to learn: • How intelligence automation, built into the Falcon endpoint protection platform, enables teams, of all skills and sizes, to make better decisions and respond faster • How Falcon X performs investigations and delivers actionable intelligence with custom indicat
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CrowdStrike
Published By: BlackBerry Cylance     Published Date: Sep 13, 2017
Streamline your endpoint security stack and your team's workload with predictive, AI based, pre-execution malware protection plus prevention based EDR. CylancePROTECT combined with CylanceOPTICS = real-time, predictive threat prevention.
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BlackBerry Cylance
Published By: IBM     Published Date: Mar 07, 2016
Predictive Maintenance for Dummies helps you grasp the concepts of predictive maintenance and put the benefits to use.
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ibm, predictive maintenance, operations, data, competitive advantage, knowledge management, enterprise applications, data management
    
IBM
Published By: AWS     Published Date: Jul 24, 2019
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have. DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost. Join our webinar to learn: Why you don’t need to be an expert in data science to create accurate predictive models. How you can build and deploy pr
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AWS
Published By: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
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incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
    
Schneider Electric
Published By: Mintigo     Published Date: Nov 20, 2017
Predictive Marketing is a fundamental shift in the way B2B companies engage buyers. In the first book of its kind, Mintigo CEO Jacob Shama explores how data science and AI enable marketers and sales reps to target, engage, and convert the most likely prospects with unparalleled precision. This ebook will guide you through the science, applications, and results of this new technology, and show you how to use it to empower your organization. Download now.
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Mintigo
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