data insights

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Published By: Teradata     Published Date: May 02, 2017
Constellation Research presents case studies of two companies that cut costs, gained flexibility, and eased administration by adding cloud data warehouse capacity to their on-premises environment. Both of these deployments: • Solved problems and yielded expected and unexpected benefits • Required some adjustments to administrative processes and expectations • Led to hybrid architecture as being an invaluable aspect of their respective data warehousing strategies Download the case studies now to explore each company’s journey, understand recurring themes, and walk away with actionable insights.
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cloud data, online marketing, customer acquisition, mobile marketing, social marketing, data warehouse, data storage, data collection
    
Teradata
Published By: IBM     Published Date: May 01, 2017
If you function like most IT organizations, you've spent the past few years relying on mobile device management (MDM), enterprise mobility management (EMM) and client management tools to get the most out of your enterprise endpoints while limiting the onset of threats you may encounter. In peeling back the onion, you'll find little difference between these conventional tools and strategies in comparison to those that Chief Information Officers (CIOs) and Chief Information Security Officers (CISOs) have employed since the dawn of the modern computing era. Their use has simply become more: Time consuming, with IT trudging through mountains of endpoint data; Inefficient, with limited resources and limitless issues to sort through for opportunities and threats; and Costly, with point solution investments required to address gaps in OS support across available tools. Download this whitepaper to learn how to take advantage of the insights afforded by big data and analytics thereby usher i
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ibm, endpoint management, mobile device management, enterprise mobility, os support, it organizations
    
IBM
Published By: Lenovo and Intel®     Published Date: Apr 28, 2017
Power? Mobility? Efficiency? All-in-One? Yep, that’s the new world of workstations. We’ve gathered all the data, insights, details, and (of course) speeds and feeds, into one handy eBook so that you can find the perfect workstation for any requirement. Is powerful mobility what you need? Or, maybe high-efficiency (both power-usage and space)? Or, maybe you just need the most powerful platform on the planet? You’ll find the tools you need right here. Check out this guide to finding your perfect workstation!
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Lenovo and Intel®
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
Analysts struggle to incorporate new sources of data into their analysis because they rely on Microsoft Excel or other tools that were not designed for data blending. Deleting columns, parsing data, and writing complicated formulas to clean and combine data every time it changes is not an efficient way for today’s analysts to spend their time. Download The Definitive Guide to Data Blending and: Understand how analysts are empowered through data blending Learn how to automate time-consuming, manual data preparation tasks Gain deeper business insights in hours, not the weeks typical of traditional approaches
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Alteryx, Inc.
Published By: SAS     Published Date: Apr 20, 2017
With more data in the hands of more people – and easier access to easy-to-use analytics – conversations about data and results from data analysis are happening more often. And becoming more important. And expected. So it’s not surprising that improved collaboration is one of the most common organizational goals. Let’s take a look at how you can use results produced by SAS Visual Analytics with Microsoft Office applications. You’ll see how easy it is to combine sophisticated analytic visualizations and reports with Microsoft’s widely used productivity tools – to share insights, improve collaboration and drive increased adoption of analytics and BI across your organization.
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SAS
Published By: IBM     Published Date: Apr 19, 2017
Data is only as good as the insights it produces, the actions it influences, and the results it fosters. That’s the secret recipe for data management. Your business stakeholders depend on data-based insights to drive decisions and priorities throughout the organization. Insights based on sound data practices can give your business a competitive advantage in the marketplace. Is your data management system ready to support your business? Find out using Forrester’s Data Management Infrastructure Self-Assessment Tool. IBM has licensed this tool to help you identify the areas of strength and opportunities for improvement.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: HiQ Labs     Published Date: Apr 18, 2017
Experts predict the number of M&A transactions will increase in 2017, but the nature of M&A is changing. The old ways of collecting data are getting to be too slow, too expensive, and too subjective. The ideal M&A transaction relies on accurate, actionable scientific insights into the target’s workforce to support the investigation, due diligence and integration aspects of M&A. hiQ Labs applies scientific rigor to publicly available data sets to forecast which employees are at risk of leaving, map the target workforce’s skills onto the buyer’s company, and identify which employees have the skills critical to the deal’s success, so M&A leaders get a faster, cheaper, and accurate solution based on science.
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hiq labs, m&a, talent
    
HiQ Labs
Published By: IBM     Published Date: Apr 14, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on-premises data with new third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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data integration, lifecycle management, hybrid environment, cloud-based data, information governance, decision making
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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cloud-based data, data quality, data management, hybrid environment, decision making
    
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
Published By: IBM     Published Date: Mar 30, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on-premises data with new third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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cloud security, electronic security, health care, security risk management, user authentication, cloud technology
    
IBM
Published By: IBM     Published Date: Mar 29, 2017
Not just some data—all of it. Internal, external, structured, unstructured, historical, real-time. And what if you could do it without a huge infrastructure project? You can. Take a closer look at how three companies capitalized on more data—almost instantly—with IBM® BigInsights® on Cloud.
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analyze, data, cloud, ibm, analytics
    
IBM
Published By: Adobe     Published Date: Mar 03, 2017
It’s amazing how online and offline data remains disconnected. Sculptor and conservationist, Jason deCaires Taylor knows the benefits of connecting two different worlds. In our guide, The Art of Integration, you’ll see what marketers can learn from the symbiotic relationship of Taylor’s sculptures on the floor of Molinere Bay. Read the guide to learn how to piece together all your insights and interactions into a whole view of your customers, so you can create seamless experiences with them.
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integrated marketing, online and offline integration, adobe integration guide, seamless experience, data integration
    
Adobe
Published By: Adobe     Published Date: Mar 03, 2017
It’s time to pull your data out of silos so you can harness all your insights and provide the next best offer. Learn how to use new marketing technologies to create customized offers that steer customers to the right financial services and products for their needs. It’s all in our new white paper, More Precious than Gold. Read our paper to learn how to: • Define your customer engagement objectives • Create valuable and intriguing offers to engage customers • Effectively deliver compelling offers across multiple touch points • Optimize your next best offer through real-time testing
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data, marketing technology, customer engagement, data analysis
    
Adobe
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
A tool for finance leaders to unify disparate customer data with financial and strategic ROI If you’ve found yourself sweating in a smoky billiard room, wondering what role customer data should play in finance—as well as in your company’s long-term strategy—this eBook will help you hone your pool shark skills. Inside, you’ll find insights about…. • How to identify patterns in your customer portfolio, and why it matters. • Avoiding four critical data billiard blunders. • Key questions to ask while you’re segmenting your data. • How to tell if your portfolio segmentation strategy is working with the right reporting. This eBook will help you navigate the crowded billiard room of customer data and how you can use it to drive cross-functional value for your team.
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Dun & Bradstreet
Published By: HP Enterprise Business     Published Date: Mar 02, 2017
Powered by data from 451 Research, the Right Mix web application benchmarks your current private vs public cloud mix, business drivers, and workload deployment venues against industry peers to create a comparative analysis. See how your mix stacks up, then download the 451 Research report for robust insights into the state of the hybrid IT market.
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HP Enterprise Business
Published By: Marketo     Published Date: Feb 07, 2017
Read this complimentary copy of the Gartner Magic Quadrant for Digital Marketing Hubs, and find out why Marketo was named a leader based on completeness of vision and the ability to execute. As a digital marketing hub, Marketo allows marketers to think beyond email campaigns and address customers personally and consistently as individuals through a variety of contexts and formats. Digital marketing hubs, like Marketo, unify disparate marketing data and processes to drive acquisition, engagement, conversion and transaction across complex customer journeys. The full report includes: Market evaluation and analysis of 22 vendors Insights for selecting a vendor based on your organization's requirements Opportunities and challenges faced when deploying digital marketing hubs Download the report to learn about these topics and more.
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digital marketing hub, email campaigns, customers, disparate marketing data, vendor selection, gartner
    
Marketo
Published By: IBM     Published Date: Feb 02, 2017
With 2.5 quintillion bytes of data created every day, it’s getting harder to separate the signals from the noise and discern the insights from the hindsight. Discover 10 key trends that will shape marketing in 2017 and get ideas for deepening customer connections, growing brand value and fueling strategic growth.
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ibm, commerce, marketing, marketing benchmark, marketing trends
    
IBM
Published 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.
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ibm, commerce, customer analytics, customer insights, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
Cloud- based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on- premises data with new third- party cloud- based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
Tags : 
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, as discussed in “The truth about information governance and the cloud,” most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
Tags : 
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
In this era of digital transformation, business and IT leaders across all industries are looking for ways to easily and cost-effectively unlock the value of enterprise data and use it to deliver new customer experiences while fueling business growth. The digital economy is changing the way organizations gather information, gain insights, reinvent their businesses and innovate both quickly and iteratively.
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IBM
Published By: IBM     Published Date: Jan 18, 2017
It's all well enough for an organization to collect every slice of data it can reach, but having more data doesn't mean you'll automatically get better insights. First, you have to figure out what you want from your data you have to find its value.
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ibm, aps data, data science, open data science, analytics, enterprise applications
    
IBM
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