predictive business

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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
    
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
    
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
    
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
    
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
    
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
    
IBM
Published By: IBM     Published Date: May 07, 2015
Hear a panel of HR leaders engage in a conversation about how they are using predictive and prescriptive analytics applied to talent to drive better business results. Join us to explore how you can be more effective in designing pilots, demonstrating the ROI for talent analytics, and translating talent data into talent insight.
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talent acquisition, recruiting, optimization, technology, talent analytics, ibm, human resources
    
IBM
Published By: IBM     Published Date: Jun 13, 2016
Read this eBook to explore how using predictive and prescriptive analytics applied to talent can drive better business results.
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ibm, workforce analytics, ibm smarter workforce institute, human resources, hr analytics
    
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: Sep 05, 2018
One of the most common use cases for AI in B2B is to make predictions about which accounts are most likely to buy and which leads are most likely to convert. However, use cases for AI are being extended beyond predictive account and lead scoring to include decision-making and process automation as well. Download this SiriusDecisions technology perspective on Predictive Analytics and Artificial Intelligence Technology to learn more. This paper will cover: • The benefits, evolution and capabilities of AI technology solutions for B2B organizations • The core and extended capability groups of AI • The business priorities supported by AI Fill out the form to get your free copy!
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Mintigo
Published By: Vendor Guru     Published Date: Jan 04, 2008
Profound developments in business telephony have left some small businesses reeling under perceptions of a steep learning curve for expensive new products. But there’s no reason to be left behind. Affordability is the hallmark of the new generation in business telephony, thanks to hosted IP and other networked solutions. Is your business applying the new technology to best advantage?
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ip pbx, pbx, acd, predictive dialing, automatic call distribution, voicemail, business communications, voice mail
    
Vendor Guru
Published By: SAS     Published Date: Apr 13, 2011
This paper will outline the value and methods involved in data mining across both quantitative and qualitative data. In addition, it will describe the data transformations necessary before doing such work, and the tools that are particularly valuable for mining mixed data types.
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business intelligence, michael lock, predictive analytics, business insight, business visibility, small to medium sized business, data mining, data quality
    
SAS
Published By: SAS     Published Date: Mar 01, 2012
Learn what criteria distinguished certain companies as top performers within the SMB sector, the factors to consider when assessing your organization's BI competency and the required actions to achieve best-in-class performance.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: IBM     Published Date: Nov 08, 2013
Tap a wealth of data to improve recruitment, staff development and retention.
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ibm, human resources, human capital, ibm business analytics, performance reviews, workforce requirements, prioritize applicants, greater employee satisfaction
    
IBM
Published By: IBM     Published Date: Nov 14, 2014
A recent study completed by Ventana Research found that 68% of companies are using predictive analytics to gain a competitive edge. Find out more now, and learn how predictive analytics can help you.
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ibm, ventana, deployment, predictive analytics, forecasting, accessing data, business management, data management
    
IBM
Published By: IBM     Published Date: Nov 14, 2014
Data mining uncovers patterns in data through a variety of predictive techniques. By engaging in data mining, organizations like yours gain greater insight into external conditions, internal processes, your markets – and your customers.
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ibm, data mining, data management, business results, predictive intelligence, business insights, best practices, business intelligence
    
IBM
Published By: IBM     Published Date: Nov 14, 2014
IBM® SPSS® Modeler is a powerful, versatile data mining workbench that helps you gain unprecedented insight from your data.
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ibm, data mining, data management, business results, predictive intelligence, business insights, business analytics, business intelligence
    
IBM
Published By: IBM     Published Date: Feb 04, 2015
Learn why advanced analytics tools are essential to sustain a competitive advantage.
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advanced analytics, predictive analytics, advanced analytics tools, strategic business objectives, marketing strategies
    
IBM
Published By: IBM     Published Date: Feb 04, 2015
Driving the right interaction at the right time. This paper examines the need to uncover and understand the dynamic roles and changing needs of individuals, the importance of synchronizing interactions with these changing needs, and how predictive analytics can drive customer intimacy by facilitating 1:1 interactions.
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predictive analytics, customer interaction, crm, business analytics, marketing attributes
    
IBM
Published By: IBM     Published Date: Jan 21, 2016
Watson Analytics puts predictive business analytics in the palm of your hand with a natural language-based freemium cloud service.
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ibm, analytics, workforce, enterprise applications, human resources
    
IBM
Published By: IBM     Published Date: Jul 12, 2016
Join IBM and partner Zementis in this webcast to hear how Predictive Model Markup Language (PMML), an industry standard, is helping solve business obstacles and enabling users to: - Drive timely and relevant insights via in-line predictive analytics - Score thousands of data records per second, scaling with business needs to enable instantaneous decisions - Improve performance and cost efficiency by reducing or eliminating movement data off-platform to conduct analysis
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ibm, z systems, predictive analytics, analytics tools, zementis, predictive model markup language, pmml, security
    
IBM
Published By: IBM     Published Date: Oct 17, 2016
See how you can turn data into actionable insights with predictive analytics. Take our brief assessment to learn which analytical capabilities will enable you to find the greatest value in your data and make confident, accurate business decisions.
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ibm, analytics, spss, stats, modeler, predictive analytics, enterprise applications, data management
    
IBM
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
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
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