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Results 176 - 200 of 268Sort Results By: Published Date | Title | Company Name
By: SAP     Published Date: Apr 14, 2011
The recent wave of new business analytics tools, solutions, and capabilities marks a true revolution in BI. In this SAPinsider Special Report on Business Intelligence, SAP Executive Vice President Sanjay Poonen lends his insights on the market drivers for this BI revolution, and explains what it all means for SAP customers. The article also features SAP ecosystem partners highlighting how SAP customers can unleash the power of information to truly innovate their business.
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business intelligence, business analytic tools, sanjay poonen, information management, enterprise performance management, governance, manufacturing intelligence, sap, performance, data quality
    
SAP
By: IBM     Published Date: Sep 08, 2015
Please join us for an in-depth discussion of the latest data and analytics capabilities that banks are using today to uncover new customer insight - at the individual level - to improve offers and cross sell, optimize campaigns and deliver profitable revenue. The discussion will explore how leading banks are employing predictive analysis on customer data not often analyzed - like individual transactions, interactions, behavior and social media. See how banks can move beyond traditional segmentation and enable marketing to the "Segment of One."
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banking, finance, customer engagement, analytics, insights, segmentation, data management
    
IBM
By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS
By: IBM     Published Date: Apr 29, 2014
With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. When consumers interact with retailers publicly through social media, they have greater power to influence other customers or damage a brand. These and other changes in the retail industry are creating important opportunities for retailers. But to capitalize on those opportunities, retailers need ways to collect, manage and analyze a tremendous volume, variety and velocity of data.
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ibm, retail, ecommerce, big data, retail technology, social media, data analytics, customer insights, customer analytics, personalization, ecommerce
    
IBM
By: IBM     Published Date: Apr 29, 2014
Social media is reshaping the relationships that customers have with products, services and brands. Read this white paper to learn how the right combination of technologies can help you understand emerging consumer trends and increase the ROI of your marketing campaigns.
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ibm, retail, social media, social media analytics, consumer insights, customer relationships, roi, business technology, consumer trends, marketing, business analytics
    
IBM
By: Adobe     Published Date: Nov 05, 2014
When mobile is done right, businesses reap the benefits. Companies using mobile analytics see an 11.2% increase in marketing ROI compared to a 15.9% decrease for companies that don’t. The Aberdeen Group report, Mobile Analytics: Precision Marketing across Mobile Touch-Points, provides insights into better mobile strategies. Read the report to see how incorporating analytics into your mobile marketing strategy will: • Increase brand awareness • Raise your return on marketing investments • Boost average order value • Improve time-to-market of products and services
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mobile analytics, precision marketing, mobile touch-points, mobile analytics
    
Adobe
By: Adobe     Published Date: Jan 12, 2015
When mobile is done right, businesses reap the benefits. Companies using mobile analytics see an 11.2% increase in marketing ROI compared to a 15.9% decrease for companies that don’t. The Aberdeen Group report, Mobile Analytics: Precision Marketing across Mobile Touch-Points, provides insights into better mobile strategies.
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adobe, mobile, marketing, demand, customers, analytics, strategy, cmo, roi, romi, multi-channel, kpi, voc, predictive
    
Adobe
By: Adobe     Published Date: Jan 12, 2015
Mobile is more than likely a part of your marketing mix, but chances are, you haven’t defined the metrics you need to measure its success. The Forrester paper, Make the most of analytics to meet your mobile objectives, shares insights from mobile executives and lays out the steps marketers need to take to improve mobile effectiveness.
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adobe, mobile, marketing, mix, analytics, measure, success, executives, effectiveness, performance, tools, integration, traffic, tracking, channels, kpi, devices, users, metrics, acquisition
    
Adobe
By: Adobe     Published Date: Jan 12, 2015
The more consumers interact with media, the more marketers know about their habits, and the less time they need to plan and guess actions. Mix Optimization Takes Over Planning, a new Forrester Research, Inc. report, shows why it’s important for marketers to transition to a marketing optimization platform and provides key steps that will help enable the transition.
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adobe, marketing, mix, optimization, data, analytics, mix, brands, scientific, planning, process, testing, dsp, dmp, programmatic, insights, campaign
    
Adobe
By: Datorama     Published Date: Aug 26, 2014
The extreme complexity of today’s marketing landscape, combined with the abundance of choices available to consumers, means marketers need to approach each marketing decision as intelligently as possible. Download this whitepaper to learn how marketers can utilize omni-channel analytics to garner strategic insights and guide them in the decision making process.
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marketing business intelligence, saas marketing optimization, measuring marketing performance, roi analytics, automated report generator, performance based marketing, online marketing data, roi metrics, marketing reports, roi reporting, reporting generator, automated reporting tool, marketing dashboard, marketing data, marketing intelligence, report software, marketing reporting, marketing metrics, performance marketing, marketing performance
    
Datorama
By: IBM     Published Date: Sep 11, 2013
Learn how social media is reshaping the relationships that customers are having with products, services, and brands and how using the right combination of technologies will help you understand emerging consumer trends and increase the ROI of your marketing campaigns
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social media analytics, consumer insights, marketing, roi, consumer trends, technologies
    
IBM
By: IBM     Published Date: Dec 05, 2012
Today companies are striving to provide a more customer-centric experience. Being able to understand and predict customer behavior can help forge a lasting, profitable relationship between customers and your company.
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analytics, data, customer behavior, insights, ibm, it management, it career advancement
    
IBM
By: IBM     Published Date: May 07, 2013
Knowing the potential benefits of cloud computing, IBM implemented this technology for six workloads—development and test, analytics, storage, collaboration, desktop and production application. And the results have yielded significant financial and operational improvements. IBM shares some key insights through this report, learned after a successful move to cloud, including different ways in which each workload benefited. It also reveals how adopting cloud enabled significant improvements in efficiency, innovation, service and support levels. Download: Success in the cloud: Why workload matters.
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success, cloud, improvements, efficiency, innovation, service, support
    
IBM
By: IBM     Published Date: Feb 10, 2015
Now that a majority of organizations realize a return on their analytics investments within a year, business executives are demanding data insights delivered at an accelerating speed.
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ibm strategy, big data, management consulting, analytics investments, data insights, it management, enterprise applications, data management
    
IBM
By: IBM     Published Date: Apr 13, 2015
IDC Retail Insights defines omni-channel merchandise optimization as the set of technologies, data assets, skills, processes, and management intent required to develop and maintain sets of targeted and localized offers that best satisfy important business objectives. These goals include customer satisfaction, customer lifetime value, and category, channel, and corporate performance. By "offers," IDC Retail Insights means the broad set of attributes that characterize assortments, products, services, prices, utility, and convenience that match customers' buying criteria and shopping behaviors. Targeted and localized offers present a compelling "choice set" that satisfies and delights consumers. Download this white paper to read the questions posed by IBM to Greg Girard, program director of Omni-Channel Analytics Strategies at IDC Retail Insights, on behalf of IBM's customers.
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omni-channel merchandise, ibm, targeted offers, localized offers, customer satisfaction, corporate performance
    
IBM
By: IBM     Published Date: May 19, 2015
Download this report and read how organizations that implement customer analytics initiatives are, increasing customer retention by up to 9x, capturing 2x more wallet share, converting an extra 3x of inbound contacts into a cross-sell event and shifting up to an additional 4x of their sales orders to more cost-effective channels.
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customer analytics, customer insights, customer retention, customer-related data, social media analytics, information responsiveness
    
IBM
By: IBM     Published Date: Feb 16, 2016
Analytics has been a hot topic for a long time. In insurance, it's been a core area of focus forever, and descriptive analytics have been followed by predictive analytics. But companies are just beginning to explore prescriptive analytics for decision management, and now comes a whole new era: Cognitive.
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analytics, cognitive computing, decision management, prescriptive analytics, data, insurance, data insights, analytical applications, business intelligence, data integration
    
IBM
By: IBM     Published Date: Jul 22, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, commerce, customer analytics, customer insight, data insights, business opportunity, analytics, knowledge management, enterprise applications
    
IBM
By: IBM     Published Date: Aug 17, 2016
As digital transformation accelerates, the opportunity to engage customers digitally has never been greater — but so has the threat of not delivering great customer experiences. In order for customer insights professionals to compete, the use of customer understanding to optimize experiences at scale must be at the heart of all digital transformation initiatives. Digital intelligence provides a vision and approach that captures a holistic view of the customer in order to optimize digital interactions, engagements, and experiences. During his talk James McCormick will describe the vision and need for digital intelligence; the approach needed to make it a strategic initiative, and ultimately, how it will provide a competitive advantage.
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ibm, customer experience, commerce, customer experience analytics, data insights, digital intelligence, digital interaction, engagement, customer insights, enterprise applications
    
IBM
By: IBM     Published Date: Aug 17, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, customer experience, commerce, customer experience analytics, data insights, enterprise applications
    
IBM
By: IBM     Published Date: Sep 08, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting
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ibm, ecommerce, b2c, b2c ecommerce, commerce, data, business advisor, enterprise applications
    
IBM
By: IBM     Published Date: Oct 11, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, customer analytics, customer experience, analytics, data insight, knowledge management, enterprise applications
    
IBM
By: IBM     Published Date: Feb 01, 2017
View this webinar to learn what the experts are saying about the current state of digital analytics and hear why not upgrading is a threat to your business. James McCormack of Forrester will detail what steps you need to take now.
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ibm, commerce, customer experience, digital intelligence, customer analytics, customer insights, enterprise applications
    
IBM
By: IBM     Published Date: Feb 01, 2017
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
Tags : 
ibm, commerce, customer analytics, customer insights, enterprise applications
    
IBM
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