data analytics

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Published By: IBM APAC     Published Date: Jul 09, 2017
Organizations today collect a tremendous amount of data and are bolstering their analytics capabilities to generate new, data-driven insights from this expanding resource. To make the most of growing data volumes, they need to provide rapid access to data across the enterprise. At the same time, they need efficient and workable ways to store and manage data over the long term. A governed data lake approach offers an opportunity to manage these challenges. Download this white paper to find out more.
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data lake, big data, analytics
    
IBM APAC
Published By: Aberdeen     Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state
    
Aberdeen
Published By: DellEMC and Intel     Published Date: Jul 05, 2017
Flash is changing the world Flash is enabling innovation and business transformation by allowing companies to do things they simply could not have done before. Innovators, the group with the highest flash adoption, enjoy superior business outcomes across a range of areas. They have higher revenue growth, profitability, and productivity, and experience shorter time-to-market for new products. IDC identified steps companies in the other categories can take to understand their level of flash adoption and accelerate flash migration to take greater advantage of the business benefits.
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security, business apps, system management, networking, structured data management, structured data analytics
    
DellEMC and  Intel
Published By: RedPoint Global     Published Date: May 11, 2017
Practical perspectives on leveraging data to grow sales, cut costs, up-sell more effectively and make better decisions. Marketers overwhelmingly agree they have access to more than enough data. The problem is finding actionable ways to utilize data that is collected across all customer interaction points to better engage with customer and increase lifetime customer value. This white paper explores the relevance of big data for marketers: what they need to know and the steps they should take today to embrace data and analytics to position their organizations for success today.
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customer retention, customer experience, real-time personalization, customer insights
    
RedPoint Global
Published By: RedPoint Global     Published Date: May 11, 2017
While theyre intensifying, business-data challenges arent new. Companies have tried several strategies in their attempt to harness the power of data in ways that are feasible and effective. The best data analyses and game-changing insights will never happen without the right data in the right place at the right time. Thats why data preparation is a non-negotiable must for any successful customer-engagement initiative. The fact is, you cant simply load data from multiple sources and expect it to make sense. This white paper examines the shortcomings of traditional approaches such as data warehouses/data lakes and explores the power of connected data.
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customer engagement, marketing data, marketing data analytics, customer data platform
    
RedPoint Global
Published By: Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017     Published Date: Jul 12, 2017
Relentless digital developments have created the chance for the finance team to become true strategic leaders across the businessbut they have also raised expectations and generated new challenges. In this digibook, we explore the growth of cloud, social, mobile and big data, and how smart CFOs are taking advantage. We show how to use your big data analytics and smooth procurement systems as a launchpad to holding your own in the Digital Age. Each chapter is illustrated by examples from successful businesses that have embraced the new ways of working as well as guidance on how to plan for and implement the changes that are right for you.
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data analytics, digital age, digital transformation, cloud, big data, growth
    
Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017
Published By: IBM     Published Date: May 02, 2017
An interactive white paper describing how to get smart about insider threat prevention - including how to guard against privileged user breaches, stop data breaches before they take hold, and take advantage of global threat intelligence and third-party collaboration. Security breaches are all over the news, and it can be easy to think that all the enemies are outside your organization. But the harsh reality is that more than half of all attacks are caused by either malicious insiders or inadvertent actors.1 In other words, the attacks are instigated by people youd be likely to trust. And the threats can result in significant financial or reputational losses.
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insider threats, data management, organization management, data analytics, threat detection, risk management, fraud discovery, forensics investigation
    
IBM
Published By: SAS     Published Date: Jun 05, 2017
From cars to factories to cities, many governments are already collecting information from citizens and connected devices that send and receive data over the internet of things (IoT). While analysts expect the IoT to soar to tens of billions of devices by 2020, no one knows how many or what new types of intelligent devices will emerge. But we do know that traditional approaches to data management and analytics may not be sufficient for sustaining value in this new, connected world
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SAS
Published By: SAS     Published Date: Jun 05, 2017
"The Industrial Internet of Things (IIoT) is flooding todays industrial sector with data. Information is streaming in from many sources equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intels leadership in IIoT information architecture to create solutions that turn raw data into valuable insights. "
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Whether you call them customers, clients, patrons, guests or patients, customers are your organizations most important asset. And that means customer loyalty should be among your top priorities. No matter when or where the customer journey begins from websites and online chat to physical locations and call centers customers expect you to provide a unique and personal experience. How can you use data and analytics to recognize your best customers across channels and know exactly where they are in their customer journey? Keep reading to find out.
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SAS
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: SAS     Published Date: Apr 20, 2017
Enterprises routinely claim to be focused on the customer experience, yet few really keep that promise. Whats in the way? Fragmentation and complexity in both customer data and customer-facing processes. IIA spoke with Wilson Raj, Global Director of Customer Intelligence, and Jonathan Moran, Customer Intelligence Product Marketing at SAS Institute Inc. about how organizations can leverage technology platforms and analytics to become more completely and genuinely customer-centric making connections in the right way, at the right time, and on the right device.
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SAS
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 its not surprising that improved collaboration is one of the most common organizational goals. Lets take a look at how you can use results produced by SAS Visual Analytics with Microsoft Office applications. Youll see how easy it is to combine sophisticated analytic visualizations and reports with Microsofts 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: SAS     Published Date: Apr 25, 2017
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in todays on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis. The heart and soul of SAS Visual Analytics is the SAS LASR Analytic Server, which ca
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Organizations in pursuit of data-driven goals are seeking to extend and expand business intelligence (BI) and analytics to more users and functions. Users want to tap new data sources, including Hadoop files. However, organizations are feeling pain because as the data becomes more challenging, data preparation processes are getting longer, more complex, and more inefficient. They also demand too much IT involvement. New technology solutions and practices are providing alternatives that increase self-service data preparation, address inefficiencies, and make it easier to work with Hadoop data lakes. This report will examine organizations challenges with data preparation and discuss technologies and best practices for making improvements.
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Are you a marketing leader on the path to modernizing your marketing organization? Are you a marketing analyst championing analytical transformation in your campaigns? If you answered yes to either question, this e-book is for you. It offers a practical account of how to create a new marketing culture that adds value through data and analytics. Youll meet marketing leaders from Comerica, Lenovo, RCI, SAS and Visa and read how theyre implementing analytics, redefining marketing strategies and transforming their cultures. By sharing their perspectives, we hope to provide a new set of best practices to guide your analytical transformation and to help you reinvent your marketing organization for the digital age.
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SAS
Published By: SAS     Published Date: May 04, 2017
Should you modernize with Hadoop? If your goal is to catch, process and analyze more data at dramatically lower costs, the answer is yes. In this e-book, we interview two Hadoop early adopters and two Hadoop implementers to learn how businesses are managing their big data and how analytics projects are evolving with Hadoop. We also provide tips for big data management and share survey results to give a broader picture of Hadoop users. We hope this e-book gives you the information you need to understand the trends, benefits and best practices for Hadoop.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
Data professionals now have the freedom to create, experiment, test and deploy different methods easily using whatever skill set they have all within one cohesive analytics platform. IT leaders gain the ability to centrally manage the entire analytics life cycle for both SAS and other assets with one environment. Organizations get faster results and better ROI from analytics efforts.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
Analytics is now an expected part of the bottom line. The irony is that as more companies become adept at analytics, it becomes less of a competitive advantage. Enter machine learning. Recent advances have led to increased interest in adopting this technology as part of a larger, more comprehensive analytics strategy. But incorporating modern machine learning techniques into production data infrastructures is not easy.Businesses are now being forced to look deeper into their data to increase efficiency and competitiveness. Read this report to learn more about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated both organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
Its there for the taking real-time information about every physical operation of a business. All you need is a key: data analytics. This paper is based on Blue Hill Researchs interviews of three organizations a US-based oil and gas company, a US municipality and an international truck manufacturer each of which heavily invested in IoT analytics. Focusing on the key themes and lessons learned from their initiatives, this paper will help business decision makers make informed investment decisions about the future of their own IoT analytics projects.
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SAS
Published By: Mindfire     Published Date: May 07, 2010
In this report, results from well over 650 real-life cross-media marketing campaigns across 27 vertical markets are analyzed and compared to industry benchmarks for response rates of static direct mail campaigns, to provide a solid base of actual performance data and information.
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mindfire, response rates, personalized cross-media, marketing campaign, personalization, personalized urls, purls, performance data
    
Mindfire
Published By: SAP     Published Date: May 18, 2014
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
Download this whitepaper to learn the results of this latest exploration of the emerging world of in-memory database technologies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
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