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Published By: IBM     Published Date: Jul 28, 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, commerce, analytics, business insight, business analytics, business advisor, commerce data, predictive analytics, enterprise applications
    
IBM
Published By: IBM     Published Date: Oct 21, 2016
Between the Internet of Things, customer experience and loyalty programs, social network monitoring, connected enterprise systems and other information sources, today's organizations have access to more data than they ever had before-and frankly, more than they may know what to do with. The challenge is to not just understand that data, but actualize it and use it to recognize real business value. This ebook will walk you through a sample scenario with Albert, a data scientist who wants to put text analytics to work by using the Word2vec algorithm and other data science tools.
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ibm, analytics, aps, aps data, open data science, data science, word2vec, enterprise applications, data center
    
IBM
Published By: Determine (Selectica)     Published Date: Jun 29, 2017
Cloud-based solutions are revolutionizing the way that enterprises conduct business. These web-based versions of common business tools, like analytics or document management tools, retain most or all of the functionality of their desktop versions and provide significant access, customization, and utility to end users. More organizations are ditching on-premises solutions and adopting cloud-based tools, also known as Software-as-a-Service (SaaS), "hosted," or "on-demand" solutions. The are becoming invaluable assets in today's agile and mobile workforce.
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Determine (Selectica)
Published By: IBM     Published Date: Jan 27, 2017
Learn to evaluate avenues best with democratized yet trusted analytic insights using IBM Cognos Analytics for your business decisions here.
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ibm, analytics, business intelligence, data, converged analytics, governed analytics, data management
    
IBM
Published By: IBM     Published Date: Feb 27, 2017
Advancements in analytics have sparked renewed excitement in the consumer products (CP) industry. Maturing analytics capabilities are now delivering greater value across major CP functions including marketing, sales, merchandising, supply chain, and more. Thus helping CP companies become more consumer and customer focused in all aspects of their businesses. Read this research report conducted by 'Consumer Goods Technology' to understand how, next-gen analytics capabilities is key in unlocking a deeper understanding of customers, help create successful new products, foster brand advocates and optimize distribution channels and ultimately shape demand
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cgt, analytics, consumer goods, distribution channels, advanced analytics
    
IBM
Published By: IBM     Published Date: Feb 28, 2017
Energy companies are being challenged on multiple fronts. Core expectations require the delivery of safe, reliable, affordable and sustainable energy. Business models are being challenged by alternatives such as renewables and consumers demanding more sophisticated interactions through social and mobile. Energy companies need to: Disruptively innovate business processes through analytics driven operational excellence to increase agility and responsiveness, reduce operational costs and improve asset reliability Assume the role of energy integrator to optimally balance supply and demand points Deliver a 360-degree customer-of-one experience to increase customer satisfaction and loyalty, reduce costs, and improve management of energy demand
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ibm, energy & utilities, utility trends, pov, ibm pov, customer experience, sustainable energy, affordable energy
    
IBM
Published By: IBM     Published Date: Aug 24, 2017
Data governance is all about managing data, by revising that data to standardize it and bring consistency to the way it is used across numerous business initiatives. What’s more, data governance ensures that critical data is available at the right time to the right person, in a standardized and reliable form. A benefit that fuels better organization of business operations, resulting in improved productivity and efficiency of that organization. Thus, the importance of proper data governance cannot be understated. The concepts of data governance have evolved, where the first iteration of data governance, often referred to as version 1.0, focused on three simplistic elements: objectives, structure and processes; having a limited focus and scope due to its tactical usage. The opportunity from the growing value of data in the realm of analytics, business intelligence, and generating insights was left unrealized. Today, organizations are moving towards what can be called Data Governance 2.0,
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ibm, unified governance strategy, data management, data governance
    
IBM
Published By: IBM     Published Date: Oct 17, 2017
The data quality tools market continues to show strong revenue growth, driven by cost, process optimization and digital business initiatives. Applying data quality tools to existing and emerging business scenarios will enable data and analytics leaders to deliver greater business value.
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IBM
Published By: IBM     Published Date: Oct 19, 2017
The Smarter Process platform is IBM’s solution for reinventing business operations in a way that infuses every process with intelligence and expertise to deliver greater customer centricity, which in turn fuels top-line growth. It incorporates Business Process Management, Case Management, Operational Decision Management and Process Analytics, along with Process Discovery and Design with an objective of ensuring that customers find it easy to do business and that every interaction includes positive touch points. Within the context of this new imperative, accessing cloud efficiencies, leveraging mobile for greater engagement, mining big data for insights, and enhancing customer relationships via social media, are proving to be critical and interrelated strategies.
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customer engagement, mobile, social, bpm, case management
    
IBM
Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
As a financial services provider, you have probably invested hundreds of thousands, if not millions of dollars, in building an analytic infrastructure. But, do your line-of-business analysts and managers have access to the data and insights they need, when they need them? Three ways Alteryx can help you improve customer experience, manage risk and increase operational efficiency Case studies on how your peer financial services companies are using self-service data analytics for a competitive edge
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
Data Analytics has become critical for many business decision makers. However, many of these managers and data analysts still rely on spreadsheets and other legacy-era tools that fall far short of current needs. As a result, they also rely heavily on a virtual army of data specialists and scientists, working under the auspices of a centralized analytics group, to prepare, blend, analyze, and even report on the critical data they need for decision making. Download this new paper to get the details behind self-service data analytics, and how it lets business analysts: Take charge of the entire analytical process, instead of relying on other departments Overcome limitations of legacy tools to save time and prevent errors Make more comprehensive and insightful business decisions at speed
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Alteryx, Inc.
Published By: Group M_IBM Q1'18     Published Date: Dec 21, 2017
Consider the volume of business content that your organization generates or receives every day: applications, forms, reports, office documents, audio, video, and even social media about your company. If it is poorly managed, not digitized, or disconnected from critical business processes, it creates chaos. This chaos impacts your ability to deliver exceptional customer service; it slows down important processes, increases security risk, and negatively impacts revenue. Conversely, controlling content chaos can significantly improve your analytics strategy by gaining insight and business value from dark or unstructured data sources. In this eBook, learn how cognitive and cloud-based Enterprise Content Management, or ECM, can help you protect your content while gaining a competitive advantage from it as you grow.
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business content, volume, cloud-based, enterprise content management, ecm
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Feb 15, 2018
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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analytics assessment, business decisions, predictive analytics, analytics
    
Group M_IBM Q1'18
Published By: Amazon Web Services     Published Date: Apr 16, 2018
Since SAP introduced its in-memory database, SAP HANA, customers have significantly accelerated everything from their core business operations to big data analytics. But capitalizing on SAP HANA’s full potential requires computational power and memory capacity beyond the capabilities of many existing data center platforms. To ensure that deployments in the AWS Cloud could meet the most stringent SAP HANA demands, AWS collaborated with SAP and Intel to deliver the Amazon EC2 X1 and X1e instances, part of the Amazon EC2 Memory-Optimized instance family. With four Intel® Xeon® E7 8880 v3 processors (which can power 128 virtual CPUs), X1 offers more memory than any other SAP-certified cloud native instance available today.
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Amazon Web Services
Published By: SAS     Published Date: Nov 10, 2014
Learn how to build a business intelligence product that provides self-service analytics and see why this product has been the favorite for businesses and IT users alike.
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sas, self service, service analytics, it users, self-service bi, forecasting, collaboration, deployment, visual analytics, it management, data management
    
SAS
Published By: SAS     Published Date: Apr 21, 2015
Exploring predictive analytics for the first time? Malene Haxholdt, global marketing manager for business analytics at SAS, explains what you need to know to get started.
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SAS
Published By: IBM Business Analytics     Published Date: Jun 03, 2011
Download your copy of this complimentary handbook to learn about the HMRC Mandate, find out what XBRL is and learn the essentials of "tagging" data, iXBRL compliance tools and options.
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ixbrl, ixbrl compliance, hmrc, hmrc reporting, tagging, audit, finance, analytical applications, business intelligence, data integration
    
IBM Business Analytics
Published By: nimsoft     Published Date: Apr 10, 2012
In the past few years, the enterprise computing landscape has changed dramatically. Changes such as virtualization and cloud computing are rendering legacy monitoring tools virtually useless. This paper explores today's computing trends and their monitoring implications in detail. It also introduces solutions that address the monitoring needs of tomorrow's enterprises.
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nimsoft, monitoring, business technology, technology, it management, service, application, analytics, technology management, network management, network performance
    
nimsoft
Published By: ADP     Published Date: Nov 16, 2017
Many businesses invest in analytics technology thinking it’s a silver bullet. But data doesn’t always tell the whole story. You get percentages but not insights. Trends but not necessarily relationships or patterns. Truly impactful workforce analytics has to do more. You have to turn data into insight, and then put it into action. This workbook is designed to help you progress through the workforce analytics maturity model. The first step in the process is to identify where you stand today.
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ADP
Published By: ADP     Published Date: Nov 16, 2017
People are the most important part of your organization. Understanding what they do, how they do it, and even why they do it, provides invaluable insights for optimizing your processes, department, or entire organization. And as a business leader, in many ways you’ve never had it so good. There’s more people data available than ever before, and you’ve got the opportunity to put it to work through data-driven initiatives like changes to workforce demographics, employee retention, or benefits allocations. And most important, you have a chance to fuel business decision-making with smart workforce insights. Once you’ve learned how to turn your people data into real business value, you’ll create more visibility within your business, and everyone will see that the rewards of HR analytics are worth the effort. It’s time to take the opportunity to prove the value of data-driven HR. No more darkness. Otherwise, the only journey ahead is into some challenging pitfalls. We’ve identified five of t
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ADP
Published By: CA Technologies     Published Date: Feb 13, 2015
For internal support centers, the message coming from the overall business is clear: You need to demonstrate your business value. Outsourcing, managed services and cloud-based solutions that didn’t exist just a few years ago are piling on the pressure.
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cloud monitoring, cloud metrics, business analytics, performance monitoring, data, cloud data, metrics, cloud-based solutions, outsourcing
    
CA Technologies
Published By: CA Technologies     Published Date: Feb 13, 2015
For years, many support teams have been hamstrung by their traditional service desk platforms, which require complex, time-consuming coding for virtually every aspect of customization. This complexity makes it costly and difficult for support organizations to adapt—and places an increasingly substantial burden on the agility and efficiency of the business as a whole. CA Cloud Service Management is a clearly differentiated alternative to traditional service desk platforms. CA Cloud Service Management is purpose built for speed—rapidly accelerating time-to-value where other SaaS solutions fall short. Implement in days, adopt with minimal training, configure without programmers, automate end-user requests, and get automatic upgrades.
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service management, deployment, time to value, cloud monitoring, cloud metrics, business analytics, performance monitoring, data, cloud data, metrics
    
CA Technologies
Published By: FICO     Published Date: Dec 04, 2017
Whether you’re onboarding new customers, cross- or up-selling, getting your supply chain or logistics right, or even collecting unpaid debt, making the best choice of decisions means weighing not just what’s right for your department – but what is best for the business overall. Not to mention what is optimal for your customers and partners. And let’s face it, even with the availability of business intelligence and other analytic tools, it’s hard to know what constitutes the right actions to take in an era where Big Data consistently throws you curveballs. Prescriptive Analytics can help – but for most organizations, there are more questions and concerns than answers about how to implement it successfully. Read our white paper on how Prescriptive Analytics can transform your business decisions and actions – leveraging your existing analytics investment and organizational DNA while helping you drive transparency, customer experience, and profits
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business, results, optimal, customer, experience, tools, analytics, big data
    
FICO
Published By: Oracle     Published Date: Feb 21, 2018
Transform Your Business with Artificial Intelligence (AI) AI is on the verge of broad adoption, and Mobile will be at the forefront of this digital transformation through the use of intelligent chatbots! Introducing Oracle Mobile Cloud, Enterprise Learn about Oracle’s new Intelligent Bots platform and check out the chatbot demo Listen to Oracle's Suhas Uliyar and Exelon's Rajesh Kumar Thakur discuss how AI is impacting how customers interact with businesses Learn of the new Customer Experience Analytics capabilities for web, mobile, and chatbots
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Oracle
Published By: Google Analytics 360 Suite     Published Date: Sep 05, 2017
Today’s meandering customer journeys take place over multiple channels and devices. Each interaction creates a stream of digital information, leaving marketers with a growing pile of data. But, with data seemingly everywhere, why are so many marketers still feeling like there’s not a drop to drink? Leaders Have a Data Strategy and Enable More Teams with Data In this research report from June 2017, Econsultancy surveyed more than 700 marketing and analytics executives at consumer brands to better understand how data factors into marketing strategy — and daily decision making. Two-thirds of leading marketers — those who outperformed their top business goal — say they currently have a documented data and analytics strategy. In this report, you’ll also learn how leaders have built data-driven cultures and why they are more likely to use: digital analytics to optimize user experience in real time audience-level data to personalize customer experience customer-level data to segment a
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Google Analytics 360 Suite
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