Skip to main content
 

product data

Results 301 - 325 of 642Sort Results By: Published Date | Title | Company Name
Published By: Entrust Datacard     Published Date: Jun 09, 2017
The rapid adoption of Office 365 means that work created using the Microsoft product contains a large amount of the business world’s sensitive information. In fact, in most enterprises using Office 365, more than half of that highly valuable information — including business plans, sales data, product designs, M&A details and financial forecasts — is contained within Excel, PowerPoint, Word, Outlook and other Microsoft software. Securing the information created with its products has emerged as a primary concern for CSOs, CIOs, IT departments and other C-level executives.
Tags : 
    
Entrust Datacard
Published By: FICO     Published Date: Jun 06, 2017
Now you can make sound business decisions in a matter of minutes that increase productivity, maximize operating benefits, improve product lifecycle management and reduce manufacturing costs. Find out how advanced analytics provides a desirable path to help manufacturers power up their capabilities, drive efficiency and better leverage machine and customer data.
Tags : 
manufacturing, manufacturing optimization, manufacturing solutions
    
FICO
Published By: SAS     Published Date: Jun 05, 2017
For organizations to succeed with the onslaught of devices, sensors and tools that innovation garners, data must no longer be treated as a byproduct but instead as an asset. And data-driven innovation must start at the top. That's what Michael Schrage, Fellow at MIT Sloan School's Initiative on the Digital Economy, said during the Harvard Business Review webinar, Leadership and Big Data Innovation. Find out why data experimentation, governance and culture are part of the next leadership challenge for organizations.
Tags : 
    
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.
Tags : 
    
SAS
Published By: SAS     Published Date: Jun 05, 2017
"The Industrial Internet of Things (IIoT) is flooding today’s 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 Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights. "
Tags : 
    
SAS
Published By: Oracle HCM Cloud     Published Date: May 25, 2017
The changing healthcare environment means that both payers and providers must use all of their available data to ensure that employee productivity goals are met, members and patients receive high-quality service, and compliance is maintained. Unfortunately, many organizations face challenges with disparate systems providing inconsistent data. Find out how leading healthcare organizations are integrating HR and finance systems for one source of truth, and in turn enabling better decisions.
Tags : 
    
Oracle HCM Cloud
Published By: IBM     Published Date: May 22, 2017
Only a handful of industries have been transformed by the digital age the way banking has. Internet and mobile banking, digital wallets, and a raft of new and innovative products have redefined “the bank” from a local, brick-and-mortar branch to an anytime-anywhere process. The new banking environment has opened opportunities for national, regional, and community banks alike, which are no longer constrained to serve only customers located in the areas where they maintain a physical branch presence. But it has also brought challenges associated with collecting, processing, analyzing, storing, and protecting vast amounts of new data, from multiple locations and sources.
Tags : 
cloud privacy, cloud security, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
IBM
Published By: IBM     Published Date: May 22, 2017
An investment firm is only as good as its data and its ability to leverage that data to make smart trades. A firm’s ability to differentiate itself in meeting market needs and bringing new products to market all hinge on its ability to squeeze maximum value out of all available data. But when it comes to implementing the right technology and processes to support a data-reliant business, those three factors present tremendous challenge
Tags : 
cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
IBM
Published By: MarkLogic     Published Date: May 16, 2017
Getting data from today’s television and film production and post-production workflows may seem like you’re moving through molasses. Mired in manual processes, attempting to manage and automate data during the creation stage of your content’s lifecycle can sometimes feel like a losing battle as the demands of creatives constantly move forward. Hear Lulu Zezza, Physical Production Executive for New Regency Productions, Matt Turner, Media & Entertainment CTO, MarkLogic, and Guy Finley, Executive Director, Media & Entertainment Strategic Alliance (MESA) as they discuss: o Metadata’s value and its evolution, beyond delivery and experiences, to harnessing critical production data o Results of taking a new approach to bring this data together with context and meaning that impacts other business unit roles o How the New Regency team created a software driven production data hub that is enabling creatives to work seamlessly on the project, in a comfortable UI/UX driven environment, with e
Tags : 
    
MarkLogic
Published By: MarkLogic     Published Date: May 15, 2017
Data is critical to the entertainment industry and not taking advantage of it can keep you from creating great experiences and delivering the right content to partners. And, more than that, it can make it hard for you to optimize operations, get insight into the content’s value and stay ahead of the many changes in how content is created, consumed and monetized. However, even with the new digital tools in production, there are many challenges to making use of this data. The effort involved can take time and resources away from film production, introduce security risks, and leave key data inaccessible to those that need it. In this paper, we review: • The current state of production data • The challenges the entertainment industry is facing in making use of data • A new “Smart Content” approach that is helping industry pioneers to reduce complexity on the set, drive reporting, and enable them to stay ahead of market changes
Tags : 
    
MarkLogic
Published By: Dell     Published Date: May 09, 2017
Dell’s approach to PC Lifecycle management is designed to help customers make the change from IT maintenance to innovation all while controlling their PC infrastructure costs. With this eGuide IT professionals will learn how to deploy, secure, and support PCs with unparalleled efficiency leveraging Dell’s industry-leading hardware, services, and security solutions. Access the eGuide from Dell and Intel® and you will learn: • Why IT needs to take a different approach PC lifecycle management • The four critical stages of the PC lifecycle (Plan, Deploy, Manage, and Retire) • How to partner with Dell to strategically migrate to Windows 10 • What solutions can help in each phase to reduce costs and increase IT productivity • The latest security solutions to protect data and employees
Tags : 
it maintenance, pc lifecycle, pc infrastructure, pc support, pc lifecycle management
    
Dell
Published By: Dell     Published Date: May 09, 2017
The workplace is changing and the one-size-fits-all approach to technology is changing along with it. As a result, your organization may need to rethink how to keep productivity high, promote collaboration, delight employees with the latest devices all while keeping IT within budget. This interactive eGuide will be your one-stop resource to understand all the new innovation available in Dell’s latest notebooks, desktops, 2-in-1s and ecosystem that can keep your organization future-ready. Access the eGuide from Dell and Intel® and you will learn: • How the workplace and workforce is changing • What tools and solutions help IT go from maintenance to innovation • How innovation is changing notebooks, 2-in-1s, desktops and workstations • The latest Windows 10 features employees will be talking about • What you need to keep endpoints and data secure
Tags : 
collaboration, it tools, it solutions, data security, endpoint security
    
Dell
Published By: Dell     Published Date: May 09, 2017
Productivity has become synonymous with revenue for many organizations. The theory is simple: The more your employees can get done, the more income they can generate. And yet data from the Bureau of Labor Statistics shows that the productivity level in the United States is actually fairly low, topping out at 3.1% in one quarter and going into negative digits in others over the past few years.1 This means labor productivity, measured in output per hour of labor, is low or—in many quarters—shrinking. Download this white paper from Dell and Intel® to learn more. Intel Inside®. Powerful Productivity Outside. Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries.
Tags : 
    
Dell
Published By: IBM     Published Date: May 02, 2017
There's an old saying in information security: "We want our network to be like an M&M, with a hard crunchy outside and a soft chewy center." For today's digital business, this perimeter-based security model is ineffective against malicious insiders and targeted attacks. Security and risk (S&R) pros must eliminate the soft chewy center and make security ubiquitous throughout the digital business ecosystem — not just at the perimeter. In 2009, we developed a new information security model, called the Zero Trust Model, which has gained widespread acceptance and adoption. This report explains the vision and key concepts of the model. This is an update of a previously published report; Forrester reviews and updates it periodically for continued relevance and accuracy.
Tags : 
resource management, product data, remote services, asset management, cloud management, web applications, application scheduling, internet of things
    
IBM
Published By: Teradata     Published Date: May 02, 2017
even West Media (SWM) is Australia’s leading multiple platform media company with a market-leading presence in broadcast television, magazine and newspaper publishing, and online. To support its unprecedented broadcast of the Rio de Janeiro 2016 Olympic Games, SWM integrated the world’s first production implementation of the Teradata Database running on Amazon Web Services (AWS) into its existing data ecosystem. This enabled the delivery of critical insights during the event and helped directly drive audience engagement with SWM’s digital products, resulting in the creation of a powerful audience asset that that now informs their broadcasting, marketing, and advertising plans. Find out how with in this case study.
Tags : 
data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Teradata
Published By: IBM     Published Date: May 01, 2017
Today's mobile landscape is very much a moving target. IT managers must keep track of all types of devices and platforms, hundreds if not thousands of applications and a threat landscape that changes by the minute. In this ever-changing environment, IT staff often find themselves drowning in mobile minutiae, overwhelmed by mountains of endpoint data but unable to extract meaning from it or make business decisions based on it. The tactical challenge of keeping infrastructure and business data secure while keeping workers productive each day takes precedence. And even then, IT managers can find themselves choosing between security and productivity as they decide how best to spend limited time and resources. This whitepaper will guide you how to get deep visibility into relevant endpoint data within the platform, granting actionable intelligence that can have a measurable impact on your organization.
Tags : 
it staff, applications, business data, data security, it managers, endpoint data, device, platforms
    
IBM
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.
Tags : 
predictive analytics, fraud detection, increase revenue, decrease costs, customer retention, hr efficiency, advanced analytics
    
IBM
Published By: IBM     Published Date: Apr 20, 2017
Protecting confidential data while keeping mobile users productive. The terms Data Leak Prevention (DLP) and Container are beginning to dominate the mobile management conversation. Over the past few years great strides have been made in providing the tools and solutions that offer management and security for mobile devices; both for devices the enterprise owns and those that employees own. While these solutions generally meet the need to secure the device, they have been lacking in some of the more sophisticated security aspects that are commonplace in laptop and distributed network deployments. Specifically lacking are the robust DLP controls common in laptop management solutions.
Tags : 
    
IBM
Published By: IBM     Published Date: Apr 20, 2017
How to protect against mobile malware. Mobility is transforming enterprises at an unprecedented rate with the continued proliferation of smart devices, explosive development of mobile apps and increased access to work files. Employees are empowered by their organizations to be more productive at virtually any time and from anywhere, adopting policies for Bring Your Own Device (BYOD) and even allowing the use of personal apps for work-related activities. However, organizations have not kept pace with this mobility explosion by deploying the enterprise-grade security needed to protect their sensitive information. Hackers and thieves are seizing on this opportunity to penetrate networks and acquire sensitive work data from mobile endpoints. IT and Security leaders need a modern and robust security solution to proactively detect, analyze and remediate these mobile threats.
Tags : 
(delete)mobile management, system solutions, data security, software management, personal data management, device management
    
IBM
Published By: IBM     Published Date: Apr 20, 2017
There's an old saying in information security: "We want our network to be like an M&M, with a hard crunchy outside and a soft chewy center." For today's digital business, this perimeter-based security model is ineffective against malicious insiders and targeted attacks. Security and risk (S&R) pros must eliminate the soft chewy center and make security ubiquitous throughout the digital business ecosystem — not just at the perimeter. In 2009, we developed a new information security model, called the Zero Trust Model, which has gained widespread acceptance and adoption. This report explains the vision and key concepts of the model. This is an update of a previously published report; Forrester reviews and updates it periodically for continued relevance and accuracy.
Tags : 
resource management, product data, remote services, asset management, cloud management, web applications, application scheduling, internet of things
    
IBM
Published By: IBM     Published Date: Apr 20, 2017
Protecting confidential data while keeping mobile users productive. The terms Data Leak Prevention (DLP) and Container are beginning to dominate the mobile management conversation. Over the past few years great strides have been made in providing the tools and solutions that offer management and security for mobile devices; both for devices the enterprise owns and those that employees own. While these solutions generally meet the need to secure the device, they have been lacking in some of the more sophisticated security aspects that are commonplace in laptop and distributed network deployments. Specifically lacking are the robust DLP controls common in laptop management solutions.
Tags : 
mobile management, system solutions, data security, software management, personal data management, device management
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Companies in all industries can benefit from a master data management program, advises MDM expert Anne Marie Smith. Learn how to enhance yours.
Tags : 
data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
Today, all consumers can obtain any piece of data at any point in time. This experience represents a significant cultural shift: the beginning of the democratization of data. However, the data landscape is increasing in complexity, with diverse data types from myriad sources residing in a mix of environments: on-premises, in the cloud or both. How can you avoid data chaos?
Tags : 
data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
    
IBM
Published By: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
Tags : 
data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
    
IBM
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.
Tags : 
evolution, big data, technology, datastax, nosql
    
Datastax
Start   Previous    6 7 8 9 10 11 12 13 14 15 16 17 18 19 20    Next    End
Search      

Add Research

Get your company's research in the hands of targeted business professionals.