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Published By: Intel     Published Date: May 02, 2017
Cloudera helps communications service providers capitalize on big data to deliver a 360-degree view of customers and improve customer experiences.
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customer experience, service provider, csps, customer experience management
    
Intel
Published By: Teradata     Published Date: May 02, 2017
Kylo overcomes common challenges of capturing and processing big data. It lets businesses easily configure and monitor data flows in and through the data lake so users have constant access to high-quality data. It also enhances data profiling while offering self-service and data wrangling capabilities.
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cost reduction, data efficiency, data security, data integration, financial services, data discovery, data accessibility, data comprehension
    
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
“The biggest problem with big data is using it.” Accessing, analyzing, and actioning with big data are among the key challenges facing every enterprise. In this detailed report from Forrester, you’ll see key drivers and challenges with Big Data, and some clear recommendations on how to proceed. Get the white paper to see Forrester's key findings.
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lenovo, lenovo sap, data potential, using data, big data challenges, forrester, forrester paper, analyzing big data, data recommendations, lenovo technology
    
Lenovo and Intel®
Published By: IBM     Published Date: Apr 27, 2017
It’s hard to grow your business if you can’t see what’s coming next. What will the demand be for a specific product or service and how should you adjust production? What revenue can be expected and from which channels? Where are the best areas to expand your business? Predictive analytics can provide the answers executives, analysts and business managers need to reduce costs, operate more efficiently and increase the bottom line. Join IBM SPSS and guest Mark Lack, Manager of Strategy Analytics and Business Intelligence with industrial products company Mueller Inc. for a look at how to decrease costs and improve your business’ profitability with predictive analytics. You’ll learn how Mueller extends the value of its Big Data environment by applying predictive techniques to accurately forecast sales, prevent fraud and reduce losses from damaged inventory, saving the company significant time and money.
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predictive analytics, fraud detection, increase revenue, decrease costs, customer retention, hr efficiency, advanced analytics
    
IBM
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 today’s 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
If you’re in the data world, you know it’s full of discord. Multiple data sources, inconsistent standards and definitions, inaccurate reports and a lack of governance are enough to derail any organization. What’s an enterprise architect to do? With the right data governance and master data management (MDM) solution, you can set and enforce policies and establish a consistent view of your data without micromanaging it. You can eliminate duplicate and inconsistent data. You can combine traditional data and new big data sources – like streaming data from the IoT – into one harmonious view. Read this e-book for expert advice and case studies that will show you new ways to manage your big data – and make sure everyone’s on the same page.
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SAS
Published By: SAS     Published Date: Apr 25, 2017
No matter what your initiative, accurate data is where to start if you want to make the best possible decisions. There’s certainly no lack of data. But simply having lots of data won’t necessarily help you answer big questions, understand problems or make faster, better decisions. To achieve competitive advantage, maintain profitability or satisfy customers, you must be able to act on what the data tells you.
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SAS
Published By: SAS     Published Date: Apr 20, 2017
Hype and hope — Big Data has generated a lot of both. Thanks to an abundance of enterprise information systems, networks, applications and devices that churn out huge volumes of information, government agencies are awash in Big Data. Add to this data growth the emerging trend of the Internet of Things (IoT) — the network of people, data, things and processes that is increasingly linked through automated connections and sensors — and the future of Big Data can seem quite daunting.
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SAS
Published By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
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data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.
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data integration, data security, data optimization, data virtualization, database security, data migration, data assets, data delivery
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Master data management (MDM) programs provide ways to ensure that data is consistent in different systems throughout an organization, but poorly managed initiatives are large and complicated affairs. This handbook will provides practical advice on how to develop and implement successful MDM programs that can pay big business dividends. Discover expert advice on: - Strategies and tactics for effective MDM processes - The technology considerations that should be factored into project plans - The ramifications of incorporating pools of “big data” into MDM efforts - And more
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Learn from this TDWI paper how right-sized information governance can improve the success of data warehousing or big data analytics initiatives, and how a chief data officer can help organizations to appreciate the value of data and its importance to their decisions and operations.
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system integration, data governance, data optimization, data efficiency, data currency, data lineage, data security, data integration
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
A big data integration platform that is flexible and scalable is needed to keep up with today’s ever-increasing big data volume. Download this infographic to find out how to build a strong foundation with big data integration.
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big data, big data integration, scalable data
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
Any organization wishing to process big data from newly identified data sources, needs to first determine the characteristics of the data and then define the requirements that need to be met to be able to ingest, profile, clean,transform and integrate this data to ready it for analysis. Having done that, it may well be the case that existing tools may not cater for the data variety, data volume and data velocity that these new data sources bring. If this occurs then clearly new technology will need to be considered to meet the needs of the business going forward.
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data integration, big data, data sources, business needs, technological advancements, scaling data
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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customer analytics, data analysis, competitive advantage, understanding your customer base
    
IBM
Published By: Citrix ShareFile     Published Date: Apr 13, 2017
Accounting is full of big, busy deadlines, which means the ability to take your work home with you could be a game-changer. But can your personal devices ever be secure enough to manage your clients’ sensitive data? Surprisingly, this informative whitepaper shows that, with the right preparation, using your personal device can actually help you keep your firm more secure. • Why data encryption is often easier to adopt as part of a cloud initiative • What top security threat you are less susceptible to on personal devices • How to manage device updates and passwords for the greatest protection
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cloud initiative, personal security, personal device, password protection, security, data encryption
    
Citrix ShareFile
Published By: Citrix ShareFile     Published Date: Apr 13, 2017
Accounting is full of big, busy deadlines, which means the ability to take your work home with you could be a game-changer. But can your personal devices ever be secure enough to manage your clients’ sensitive data? Surprisingly, this informative whitepaper shows that, with the right preparation, using your personal device can actually help you keep your firm more secure. • Why data encryption is often easier to adopt as part of a cloud initiative • What top security threat you are less susceptible to on personal devices • How to manage device updates and passwords for the greatest protection
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data encryption, personal security, client security, cloud initiative, password protection
    
Citrix ShareFile
Published By: Datastax     Published Date: Apr 04, 2017
As the big data ecosystem continues to expand, new technologies are addressing the requirements for managing, processing, analyzing, and storing data to help companies benefit from the rich sources of information flowing into their organizations. From NoSQL databases to open source projects to commercial products offered on-premises and in the cloud, the future of big data is being driven by innovative new approaches across the data management lifecycle. The most pressing areas include real-time data processing, interactive analysis, data integration, data governance, and security. Download this report for a better understanding of the current landscape, emerging best practices and real-world successes.
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evolution, big data, technology, datastax, nosql
    
Datastax
Published By: Citrix ShareFile     Published Date: Mar 31, 2017
Accounting is full of big, busy deadlines, which means the ability to take your work home with you could be a game-changer. But can your personal devices ever be secure enough to manage your clients’ sensitive data? Surprisingly, this informative whitepaper shows that, with the right preparation, using your personal device can actually help you keep your firm more secure. • Why data encryption is often easier to adopt as part of a cloud initiative • What top security threat you are less susceptible to on personal devices • How to manage device updates and passwords for the greatest protection
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account security, data security, data loss prevention, device security, cloud security, confidential data
    
Citrix ShareFile
Published By: IBM     Published Date: Mar 30, 2017
In today’s competitive on-line world, the speed of change in customer behaviour is increasing. In addition, in industries such as retail banking, car insurance and to some extent retail, the Internet has become the dominant way in which customers interact with an organisation. Yet in many data warehouses today, being able to analyse customer on-line behaviour is often not possible because the clickstream web log data needed to do this is missing. It is a key point because customer access to the web has made loyalty cheap.
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cyber attacks, data protection, it security, security solutions, system protector, web security, analytics
    
IBM
Published By: IBM     Published Date: Mar 29, 2017
One of the biggest changes facing organizations making purchasing and deployment decisions about analytic databases — including relational data warehouses — is whether to opt for a cloud solution. A couple of years ago, only a few organizations selected such cloud analytic databases. Today, according to a 2016 IDC survey, 56% of large and midsize organizations in the United States have at least one data warehouse or mart deploying in the cloud.
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cloud, analytics, data, organization, ibm
    
IBM
Published By: SAP     Published Date: Mar 09, 2017
There’s strong evidence organizations are challenged by the opportunities presented by external information sources such as social media, government trend data, and sensor data from the Internet of Things (IoT). No longer content to use internal databases alone, they see big data resources augmented with external information resources as what they need in order to bring about meaningful change. According to a September 2015 global survey of 251 respondents conducted by Harvard Business Review Analytic Services, 78 percent of organizations agree or strongly agree that within two years the use of externally generated big data will be “transformational.” But there’s work to be done, since only 21 percent of respondents strongly agree that external data has already had a transformational effect on their firms.
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SAP
Published By: SAP     Published Date: Mar 09, 2017
Learn how CIOs can set up a system infrastructure for their business to get the best out of Big Data. Explore what the SAP HANA platform can do, how it integrates with Hadoop and related technologies, and the opportunities it offers to simplify your system landscape and significantly reduce cost of ownership.
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SAP
Published By: Adobe     Published Date: Mar 08, 2017
This three-part, step-by-step guide to data-driven marketing explains how to use mountains of available data to create the best possible customer experience and grow your bottom line.
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data, data driven marketing, customer experience, customer experience management, big data, step-by-step guide
    
Adobe
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