data access

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Published By: Cox Business     Published Date: Dec 19, 2016
Businesses need to plan for unforeseen events that can disrupt productivity, impair the customer experience, and possibly even threaten a business’s existence. A disruption every business needs to plan for is any event that destroys valuable data, inhibits access to data, or causes downtime of core applications. Consider the staggering amount of information your company stores electronically. What if an unforeseen event destroyed all financial records, client contacts, and application data? You wouldn’t be able to send customers accurate invoices. Your marketing efforts might be undermined. You would lack key metrics for measuring quality, profitability, and more. The losses could be staggering. In every aspect of life, it’s smart to plan for unexpected events. That’s especially true for two plans every business must have: a disaster recovery plan and a business continuity plan.
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Cox Business
Published By: Lookout     Published Date: Aug 28, 2017
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years. As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence.
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data protection, mobile risks, productivity tools, cyber attacks, device vulnerabilities
    
Lookout
Published By: OnBase by Hyland     Published Date: May 16, 2017
With smartphones and tablets now standard-issue office gear,workers fully expect to have mobile access to critical data and business applications wherever and whenever the need arises.And it’s not just the average field worker or sales rep who stands to benefit from remote access. An IDG survey found that 61% of the executive managers saw value in accessing critical business data while offline via their mobile devices. This IDG whitepaper proves that offline access is the key to unlocking mobility’s promise.
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hyland, offline access, mobility, remote access, mobile access, business applications
    
OnBase by Hyland
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
As more companies compete for business, Original Equipment Manufacturers (OEMs) increasingly demand higher production rates and greater production flexibility from suppliers. If smaller-sized companies want to compete, they need the right tools and latest technology. NC Machining manufactures should ask three primary questions when considering the tools to improve competitiveness and implement Lean practices: • Do the tools provide the means for improved collaboration between engineering and manufacturing, and incorporate manufacturing best practices? • Can all data and program information reside in one database or platform that is accessible concurrently by all enterprise stakeholders—from design engineering to the shop floor? • Is it possible to perform real-time multi-disciplinary simulations to improve performance and manufacturing targets? Discover how to optimize your NC Machine Shop Production, minim
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Dassault Systèmes
Published By: Kronos     Published Date: Sep 20, 2018
If you’ve tried managing your retail operation’s labor performance without reliable, real-time data, you know the costly shortcomings of this approach. Tap into clear, easy-to-access workforce data — a single view of all elements of your workforce that empowers you to make effective decisions and protect your bottom line. Workforce Analytics for Retail transforms labor and sales data into meaningful business intelligence. Learn how managers can make data-driven decisions that optimize workforce utilization, control labor costs, and drive continuous improvement.
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Kronos
Published By: Wasabi     Published Date: Oct 24, 2017
An explosion of data storage needs, both in terms of volume and accessibility, are unmet by first-generation storage solutions. The massive datasets being generated are un-storable due to costs and unable to be fully leveraged because of speed limitations. The needs of individual businesses, and our greater economy, demand the commoditization of cloud storage. Cloud Storage 2.0 represents a new generation of solutions that promise to turn Cloud Storage into a utility along the lines of bandwidth and electricity. Leading this evolution with high-speed, low cost, reliable cloud storage is Wasabi. In this white paper we look at the genesis and possibilities of Cloud Storage 2.0, and Wasabi’s place at its forefront. Free trial with no credit card required offer available as well.
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Wasabi
Published By: Datavail     Published Date: Nov 03, 2017
The management of financial data in an organization is of paramount importance. Reporting, evaluating ROI, making adjustments across the business, and increasing revenue depend on good, accessible financial data that can be updated and integrated across systems and software. For these reasons, many organizations have turned to master data management (MDM) software in the effort to better store, access, search, retrieve, and analyze their financial data. These MDM solutions are able to collect data within a single unified, fully integrated, user-friendly platform. However, in order to be most effective, MDM applications must also have capabilities in data relationship management (DRM). DRM software is able to describe and enforce the relationships between data, no matter where it's located within an organization, to provide a holistic and consistent solution.
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Datavail
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Jul 09, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: Group M_IBM Q418     Published Date: Oct 02, 2018
Chatter about the cloud is everywhere. You can't turn on your TV, look at your smartphone, open a magazine or browse websites without being inundated with messages about the cloud. Proponents tell you the cloud will save you time, give you a place to store data, create a way to manage hard drive space on your phone and much more. Detractors will scare you with stories of hackers gaining access to personal photos and bank account numbers.
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Group M_IBM Q418
Published By: Redstor UK     Published Date: Mar 12, 2018
Redstor Pro's Data Management Platform features an integrated archiving solution which delivers simple to manage, highly scalable long term archiving that ensures data remains extremely easy to access whilst freeing up expensive primary storage. Users of the service avoid the need to archive data to unreliable tape or add more expensive tier one storage due to data growth.
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Redstor UK
Published By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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TIBCO Software APAC
Published By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software APAC
Published By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software APAC
Published By: Group M_IBM Q119     Published Date: Feb 25, 2019
The advantages blockchain can bring to the automotive ecosystem, both in facilitating collaboration among participants and enabling capabilities for new mobility business models, have gotten the attention of automotive executives. In addition to enabling a single source of data, blockchain can facilitate device-to-device transactions, smart contracts, and real-time processing and settlement. For the automotive industry, this translates into improvements and operational efficiencies in areas such as supply chain transparency, financial transactions between ecosystem participants, authenticating access to cars, and customer experience and loyalty.
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Group M_IBM Q119
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