decision analytics

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Published By: IBM     Published Date: Mar 04, 2014
In today’s mobile, connected era, customers expect perfection from their service providers. With competitors only a click (or tap) away, companies have a strong incentive to deliver flawless operations. Online retailers have “set a high bar” in the way that they engage customers throughout the entire sales process—not just during the commercial transaction, but before, during and after the transaction. Can your insurance company meet the challenge?
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smarter process approach, agility, business process management, bpm, insurance, case management, operational decision management, analytics, process automation, content management system, corporate portals, document management, information management, records management, search and retrieval
    
IBM
Published By: IBM Software     Published Date: Feb 03, 2012
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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ibm, security, predictive analytics, security policy, risk management, internet security, security solutions
    
IBM Software
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: Group M_IBM Q119     Published Date: Feb 28, 2019
Companies of all sizes have a critical need to match supply and demand as efficiently as possible, in order to quickly capture maximum demand at the lowest possible cost. This tutorial will walk you through a demand forecasting and planning solution that can help you deliver more accurate demand forecasts, optimized operations to satisfy demand, and a complete operational and financial plan that the business can use in practice. In this tutorial, you will explore the following key capabilities: Improve decision-making in a single workspace with IBM Planning Analytics Deliver timely, reliable plans and forecasts with the addition of SPSS Modeler Create optimal demand plans with the addition of IBM ILOG CPLEX Optimization Studio
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Group M_IBM Q119
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software
Published By: SAS     Published Date: Oct 22, 2015
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics. To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
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SAS
Published By: SAS     Published Date: Aug 17, 2018
This SAS and Intel collaborated piece demonstrates the value of modernizing your analytics infrastructure using SAS® software on Intel processing. Readers will learn: • Benefits of applying a consistent analytic vision across all functions within the organization to make more insight-driven decisions. • How IT plays a pivotal role in modernizing analytics infrastructures. • Competitive advantages of modern analytics.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
"As more products and machines become connected, and analytical capabilities grow, new applications for the Internet of Things (IoT) will emerge. So too will manufacturers change how they make business decisions. This IndustryWeek Special Research Report gauges the current and planned usage of IoT technology and analytics by US manufacturers. It also explores how manufacturers can develop a specific IoT strategy and apply analytics more widely across their organizations to drive revenue, cut costs and innovate. "
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SAS
Published By: Teradata     Published Date: Jan 16, 2015
Companies that use SAP® need to have a method to access all valuable information that is recorded in order to make the best business decisions and establish a sustainable competitive advantage. With Teradata Analytics for SAP®, Lamb Weston, a global frozen potato product producer, has been able to generate their business intelligence reports quickly and effortlessly. BI that lets you focus on running the business…Download now!
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teradata, sap, product producer, sap success
    
Teradata
Published By: IBM     Published Date: Apr 18, 2014
This IDC paper discusses the critical role of hardware infrastructure in business analytics deployments, citing best practices, the IDC's decision framework, and four client case studies - Wellpoint, Vestas, AXTEL, and Miami-Dade County. IDC's recommendation is that "infrastructure cannot — and should not — be an afterthought". Hardware infrastructure and software requirements must be determined in parallel to maximize the success of business analytics projects.
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ibm, business analytics, deployment, hardware, infrastructure, business analytics solutions, workload
    
IBM
Published By: IBM     Published Date: Oct 07, 2014
This IDC paper discusses the critical role of hardware infrastructure in business analytics deployments, citing best practices, the IDC's decision framework, and four client case studies - Wellpoint, Vestas, AXTEL, and Miami-Dade County. IDC's recommendation is that "infrastructure cannot — and should not — be an afterthought". Hardware infrastructure and software requirements must be determined in parallel to maximize the success of business analytics projects.
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ibm, idc, hardware infrastructure, business analytics deployments, software, software requirements, business analytics projects, infrastructure management
    
IBM
Published By: SAS     Published Date: Mar 14, 2014
This paper will discuss the barriers to data-driven decision making for midsized businesses, and how experts and non-experts alike can use SAS Visual Analytics to unlock the value of data – including big data – to increase revenue, cut operational costs and better manage their business.
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sas, bottom line, midsized businesses, leveraging data, data management, internal and external, decision making, big data, operational costs, decision support, operational execution, strategic analysis, predictive analytics, data landscape, real-time data, interactivity, data democracy, visual analytics
    
SAS
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
Published By: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
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visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence, real-time data, real-time data visualization, real-time data discovery, data variety software, data discovery software, data analysis software, data mining tools, data extraction, data reporting, pdf to excel, business reporting, data solutions
    
Datawatch
Published By: IBM     Published Date: Jan 09, 2014
Watson’s success in the Jeopardy! challenge was inspiring, but the business impact of optimized systems design is just beginning. With smarter analytics solutions optimized on IBM Power Systems, you can put Watson's technology to work and ensure that you
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power 7, big data, watson, decision making, power systems, virtualization, spss collaboration, ibm, ibm power systems, analytics
    
IBM
Published By: SAS     Published Date: Jul 25, 2011
An analytic center of excellence demonstrates that an organization is committed to making better, fact-based decision and leveraging analytics to validate assumptions and identify root causes of business problems. This paper focuses on how to form an analytic center of excellence and the value the business will derive from it.
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coe, cost of excellence, sas, optimize, optimization, research, development, new product, services, internet, expedia inc, analytic, ecommerce, express warranty, news, article, story
    
SAS
Published By: IBM     Published Date: Mar 31, 2016
"The market buzz around APIs has distorted executive's thought processes about how to make money from APIs. Our guest speaker, Forrester analyst Randy Heffner, will tell the real truth about how to drive value from APIs. Who Should Read/View This webcast: business audience Attend to also learn how to: Provide business users with real-time information for more informed decision making Leverage the latest cloud, mobile, and analytics enhancements in IIB v10 Use the IIB Healthcare Pack to accelerate development and deployment of integration solutions Who Should Attend this Webcast: business audience"
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ibm, api, integration, application program interface, middleware
    
IBM
Published By: IBM     Published Date: Jul 23, 2015
Predict better academic outcomes with IBM SPSS Decision Management for Student Performance.
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predictive analytics, performance management, student performance, spss, decision management, intervention measures, graduation rates, advanced placement courses, data analytics
    
IBM
Published By: Exact Software     Published Date: Jun 22, 2008
Businesses, more than ever before, are relying on fact based decision-making and analytics to compete in this environment. This has given rise to "Business Intelligence," or simply BI, a broad category of applications and technologies for accessing, combining, computing and analyzing data to help enterprise users make better business decisions.
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business intelligence, business analytics, analytical applications, make more money, exact america, exact software, exact, competitive
    
Exact Software
Published By: Oracle Corporation     Published Date: May 11, 2012
Oracle Marketing Analytics helps you to develop closer, more valuable customer and prospect relationships and improve marketing effectiveness. Read this data sheet to learn about all of the key features and benefits of this dynamic solution.
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oracle, busines intelligence, business intelligence applications, bi applications, bi apps, 11g, cross-value, decision, analytics, functional, flow, manage, customers
    
Oracle Corporation
Published By: Seismic     Published Date: May 24, 2019
There's no doubt that intelligence-driven marketing is on the rise. According to Forbes, reliance on marketing analytics to make business decisions has increased from 30% to 42% of the time over the past five years. But as marketing analytics become more prevalent, how do organizations know what matters most, and more importantly, what’s going to show Marketing’s contribution to revenue? In this on-demand webinar, MarketingProfs, Seismic and marketing analytics expert Christopher S. Penn explore the analytics trends that marketers should care about most in the year ahead. You’ll learn: ? The top 5 marketing analytics trends by projected search interest ? How to build the foundation of your 2019 metrics ? How to prepare for massive changes coming to marketing analytics (including AI)
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Seismic
Published By: SAS     Published Date: Mar 20, 2019
Seeing value from analytics and emerging technologies such as AI begins with trust in the data. That trust relies on how data is collected, shared, protected and used. The annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights – and what steps are needed to get trustworthy data.
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SAS
Published By: Adobe     Published Date: Sep 28, 2016
Five years ago, the mobile revolution was in its adolescence. Now, it’s in the midst of a growth spurt, and it’s developing faster than ever. To keep up, you need to deliver customer-winning mobile experiences that drive loyalty for your brand. And the key for achieving this is mobile maturity. Our report outlines survey results from marketing and IT decision makers who share how they’re using mobile today. Read the report ‘Mobile is the strategy’ to learn: • The four components of the mobile maturity lifecycle • Why mobile apps are crucial to a successful mobile strategy • The role analytics plays in reaching mobile maturity
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adobe, mobile, mobile strategy, marketing, mobile maturity, mobile apps, analytics
    
Adobe
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