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generate data

Results 1 - 25 of 111Sort Results By: Published Date | Title | Company Name
Published By: Workable     Published Date: Oct 09, 2019
In every organization, the recruiting process generates data: how long it took to fill one role, how many candidates progressed to the final hiring stage or how many comments hiring teams exchanged until they made a hire. Through tracking metrics, you can get tangible evidence of how successful your recruiting process is, rather than relying on intuition. In this guide, we put together everything you need to know to start making the most out of your recruiting data. You’ll find: A list of common recruiting metrics to track. A detailed look into five of the most important KPIs. How to collect data and track metrics consistently over time.
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Workable
Published By: Infinidat EMEA     Published Date: May 14, 2019
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
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Infinidat EMEA
Published By: Oracle EMEA     Published Date: Oct 11, 2019
This webinar demonstrates how Autonomous Database benefits your whole organisation. It’s so easy to use – simply load and run. And there’s no need to be an expert, business colleagues with no machine learning experience can use Autonomous Database in an intuitive way. Your role is key in empowering them to gain insights and generate reports from real-time data.
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Oracle EMEA
Published By: Great Bay Software     Published Date: Jan 09, 2019
IoT adoption is expected to generate a 21% increase in corporate profits by 2022. This business value comes from the ability to automate processes and collect and analyze massive amounts of data—so organizations can make better informed decisions and deliver powerful customer experiences. But how are organizations really putting IoT to work for their business? And how can IoT risks be mitigated so these rewards can truly be achieved? This e-book explores the potential of IoT in the enterprise, which industries are leading the way and how to secure your connected things. It also provides: • 7 best practices for data privacy and security policies • 7 items to consider for device security • 6 key considerations for network connection security
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Great Bay Software
Published By: Alcatel-Lucent     Published Date: Dec 02, 2009
Faster, more powerful and dense computing hardware generates significant heat and imposes considerable data center cooling requirements.
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data center design and management, distributed computing, internetworking hardware, power and cooling
    
Alcatel-Lucent
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: HPE & Intel®     Published Date: Oct 10, 2016
In the financial services industry (FSI), high-performance compute infrastructure is not optional; it’s a prerequisite for survival. No other industry generates more data, and few face the combination of challenges that financial services does: a rapidly changing competitive landscape, a complex regulatory environment, tightening margin pressure, exponential data growth, and demanding performance service-level agreements (SLAs).
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HPE & Intel®
Published By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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Cisco
Published By: Hewlett Packard Enterprise     Published Date: Apr 26, 2019
Discover the transformational power of intelligent storage. A company’s competitive success depends greatly on how well it harnesses the value of its data. However, it can be challenging to keep pace with the increases in the scale of data being generated, as well as users’ demands for accessibility. Additionally, maximizing the value of digital information requires data to be leveraged at both the optimal time and the optimal place. With HPE’s intelligent storage portfolio, organizations can modernize their IT to better understand their customers, run more agile IT functions, and improve logistical operations.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Discover the transformational power of intelligent storage. A company’s competitive success depends greatly on how well it harnesses the value of its data. However, it can be challenging to keep pace with the increases in the scale of data being generated, as well as users’ demands for accessibility. Additionally, maximizing the value of digital information requires data to be leveraged at both the optimal time and the optimal place. With HPE’s intelligent storage portfolio, organizations can modernize their IT to better understand their customers, run more agile IT functions, and improve logistical operations.
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Hewlett Packard Enterprise
Published By: Equinix     Published Date: May 28, 2015
Changes in where traffic originates and how much data is generated will soon have profound effects on Internet latency and end-user quality of experience.
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data, generate data, host applications, ensure optimal performance, devices, mobile data, mobility, data traffic
    
Equinix
Published By: SAS     Published Date: Jan 17, 2018
Consider the many ways that a customer encounters your brand – organic results on a search engine, display media campaigns, social media links, re-targeting on external sites, etc. One thing is certain – consumer journeys are far from linear. They can occur across multiple platforms, devices and browsers. The problem is that organizations are often constrained to channel-limiting decisions regarding their media investment allocations. Marketing attribution helps you analyze the impact and business value of company-generated marketing interactions to help make the best marketing investment decisions. The challenge is to interpret the massive volumes of customer data that continues to expand day by day.
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SAS
Published By: AWS     Published Date: Dec 15, 2017
Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time. AWS and AWS Partner Network (APN) Partners offer technology solutions to help you gain data-driven insights to improve care, fuel innovation, and enhance business performance. In this webinar, you’ll hear from APN Partners Deloitte and hc1.com about their solutions, built on AWS, that enable Next-Gen BI in Healthcare and Life Sciences. Join this webinar to learn: How Healthcare and Life Sciences organizations are using cloud-based analytics to fuel innovation in patient care and biopharmaceutical product development. How AWS supports BI solutions f
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AWS
Published By: Nextgen     Published Date: Aug 08, 2017
Meditouch helps integrate patient engagement across your practice and the care continuum. Foster patient satisfaction and achieve front office efficiency. YourHealthFile patient portal for convenience, transparency, and communication. Patient-generated data alleviates staff burnout via manual duties; prevents bottlenecks. Easily refill Rx, reduce no-shows, quickly fill cancellations. iPad functionality supports education and doctor patient relationship. Garner better reviews, gain more online visibility, market your practice to new patients.
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patient engagement, patient care, healthcare, patient communication
    
Nextgen
Published By: Cognizant     Published Date: Sep 19, 2017
Focus on creating consistent terminology in order to generate insights from the digital data encircling employees, partners, processes and customers.
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data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
    
Cognizant
Published By: IBM     Published Date: Jun 29, 2018
Every day, companies generate mountains of data that are critical to their business. With that data comes a clear challenge: How do you protect exabytes of data that's strewn across global data centers, computer rooms, remote offices, laptops, desktops, and mobile devices, as well as hosted by many different cloud providers, without choking business agility, employee productivity, and customer experience? The solution lies not in throwing more technology at the network, but in taking specific steps to identify malicious actions and respond to them in order to fix the issue, a process known as operationalizing security.
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IBM
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.
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Dell
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: Oracle     Published Date: Aug 08, 2013
As social media use has grown, an urgent need has emerged to correlate the information generated through social data with existing consumer information, and integrate it with sophisticated data management systems. This white paper describes how organizations can blend social insights with more-traditional data in an integrated customer data hub to optimize social strategies and create outreach efforts, new products, and campaigns grounded in real-time, repeatable, automated, and scalable analysis.
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social media, business intelligence, customer hub, crm, oracle
    
Oracle
Published By: FusionOps     Published Date: Jun 15, 2016
The supply chain generates huge volumes of data captured in ERP, CRM, demand planning and other systems. Download this whitepaper to learn how FusionOps Machine Learning can provide companies with a more accurate, granular understanding of their business by harmonizing these disparate data sources in the cloud, and applying machine learning algorithms.
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FusionOps
Published By: CyberSource     Published Date: Apr 25, 2019
Download this white paper to find out how you could augment your fraud management with Decision Manager machine learning insights from more than 68 billion annually processed Visa and CyberSource transactions – matched with flexible rules-based fraud strategies. • Detect fraud more accurately with robust data and insights on ever-changing fraud patterns • Protect your bottom line by reducing fraud and chargebacks • Increase acceptance rates with the only fraud solution that uses machine learning to generate and test new rules-based strategies from your historic data …and more.
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CyberSource
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
There are five ways to provision test data. You can copy or take a snapshot of your production database or databases. You can provision data manually or via a spreadsheet. You can derive virtual copies of your production database(s). You can generate subsets of your production database(s). And you can generate synthetic data that is representative of your production data but is not actually real. Of course, the first four examples assume that the data you need for testing purposes is available to you from your production databases. If this is not the case, then only manual or synthetic data provision is a viable option. Download this whitepaper to find out more about how CA Technologies can help your business and its Test Data problems.
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CA Technologies EMEA
Published By: CA Technologies     Published Date: Sep 13, 2017
"There's new legislation in place, that's expanded the definition of personal data and puts IT and testing departments on high alert to safeguard personal data, across testing and development environments. It's the General Data Protection Regulation (GDPR). Are you ready for it? In this session, we’ll demonstrate how CA Test Data Manager helps to both mask your production data and to generate synthetic test data; a powerful combination to help you meet compliance needs and deliver quality applications. There will be a short section on the future of the tester self-service model that will enable testers to efficiently get access to the right test data."
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CA Technologies
Published By: Oracle     Published Date: Jul 12, 2017
Relentless digital developments have created the chance for the finance team to become true strategic leaders across the business—but 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
Published By: Wasabi     Published Date: Oct 26, 2017
Kim Komando, “America’s Digital Goddess,” is a leading radio host and web entrepreneur. Every month her video-taped three-hour weekly radio show adds 2.8 TB of video content to its extensive playback library. Switching from their current storage solution, a combination of NAS Arrays and Tape Drives, to Wasabi not only generated huge savings it was simpler and faster. Plus, since Cloudberry works seamlessly with Wasabi, the show also enjoys efficient and cost-effective remote data protection. In this Case Study read in detail how the ‘Kim Komando Show’ made the transition to next generation cloud storage.
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data protection, multimedia content, cloud storage, backup, recovery, secondary storage platform
    
Wasabi
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