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it analytics

Results 301 - 325 of 1940Sort Results By: Published Date | Title | Company Name
Published By: Oracle Analytics     Published Date: Oct 10, 2017
How are organizations balancing self-service analytics and data governance today? What are the trends for tomorrow? Many organizations are on their way to achieving self-service analytics maturity through the use of intuitive data visualization technologies aimed at non-technical users; as well as various tactics that reduce reliance on IT. But handing the analytics reins entirely to business users can make governance nearly impossible. As a result, organizations are increasing investments in modern analytics platforms that enable a balance between IT governing and curating data, empowering business users to derive insights from data mostly on their own and without delay.
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Oracle Analytics
Published By: ipoque     Published Date: Oct 04, 2018
The SD-WAN market is growing fast, but so is competition. In such a competitive environment, SD-WAN vendors need to offer products with unique features and capabilities in order to stand out. Real-time application visibility powered by deep packet inspection (DPI) software can be the decisive element in achieving them. This whitepaper highlights the key value of DPI software, which is enabling advanced SD-WAN analytics and security features.
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dpi, deep packet inspection, sd-wan, analytics, network analytics, traffic analytics
    
ipoque
Published By: Google     Published Date: Jan 24, 2019
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google
Published By: Corrigo     Published Date: Nov 01, 2019
Think about all the ways your life today is different than it was ten years ago. Think about how you shop, how you get around, how you plan travel, and how you stay in touch. So many things that used to be a hassle are now almost effortless. If your life feels different, it’s because you’re living in a new era – what experts are calling the 4th Industrial Revolution. You’ve probably heard some of the more catch-phrased components – big data, artificial intelligence, deep analytics. Some of these still seem like science fiction, but they are very real, very active, and crucial parts of what we at Corrigo call the Intelligence Economy. In the Intelligence Economy, data is collected, crunched, and activated to solve problems and create greater value for customers, partners, and employees. It’s the information, insights, and automations that enhance experiences, predict needs, strengthen connections, and deliver the right info or action at the right time, in the right way. And the Intellig
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Corrigo
Published By: Dassault Systèmes     Published Date: Nov 11, 2019
Die meisten Unternehmen nutzen eine einfache Form der Analyse: deskriptive Analytik. Diese betrachtet lediglich die Vergangenheit. Um wirklich wettbewerbsfähig zu bleiben, müssen Sie jedoch weitergehen. Gehen Sie den nächsten Schritt mit einer Supply-Chain, die intuitiv anhand der Realität Ihres Unternehmens lernt und so ein Maß an Präzision und Erkenntnis bietet das früher für unmöglch gehalten wurde. In unserem Leitfaden zur selbstlernenden Supply-Chain, erfahren Sie wie Sie mit Hilfe von Advanced Analytics: • Daten kontinuierlich erfassen, analysieren und aktualisieren können, um größtmögliche Genauigkeit zu erreichen • Intelligente und souveräne Entscheidungen für jeden Schritt in Ihrer Supply-Chain treffen können • Entscheidungen dreimal so effektiv umsetzen können
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advanced analytics, deskriptive analytik, predictive analytics, big data, selbstlernende supply-chain, optimierung, planung, wettbewerbsvorteil
    
Dassault Systèmes
Published By: IBM     Published Date: May 02, 2013
The enormous volume, velocity and variety of data flooding the enterprise, along with the push for analytics and business intelligence, is creating a massive challenge that is overwhelming traditional storage approaches. As the demand for capacity continues to escalate, companies must be able to effectively and dynamically manage the storage supply, but also the demand for storage resources. The key is to optimize the infrastructure through standardization and virtualization, and replace manual tasks with policy-based automation.
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optimize, storage, efficient, data center, analytics, business, virtualization
    
IBM
Published By: IBM     Published Date: May 02, 2013
Many organizations have understandably turned to consolidation and virtualization to reduce server complexity, footprint and cost-to-scale. The next step is to optimize performance using analytics, policy-based automation and new technologies like cloud computing. Companies that focus on server optimization are seeing greater flexibility and sustained cost and operational efficiencies, with administrators able to manage 2.5 times more servers and almost twice as many virtual machines per server.
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optimize, server, environment, efficient, data center, optimize, virtualization
    
IBM
Published By: Workday     Published Date: Feb 20, 2014
Discover how Workday Big Data Analytics can accelerate the time from insight to action
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data analytics, business insight, workday, big data, big data analytics, data integration, data sources
    
Workday
Published By: Workday UK     Published Date: Jan 31, 2019
Read now to learn about three key steps drawn from the “2018 Deloitte Global Human Capital Trends” report that emerging organisations can take to attract and retain top talent, including: Redefining careers Creating more personalised performance enablement to boost employee engagement Using data-driven technology and analytics to enhance business value
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workday, workforce technology, digital strategy
    
Workday UK
Published By: Workday UK     Published Date: Jan 31, 2019
People analytics is increasingly on the agenda for organisations. With the rise of workplace technology allowing leaders to track employees’ performance, productivity and wellbeing, we partnered with the CIPD to survey over 3,000 business professionals to understand how people analytics is being used. And the results are in, 65% of respondents who work in an organisation with a strong people analytics culture, say their business performance is strong compared to competitors. As well as outlining the key opportunities leaders can capitalise on, this report covers: • How different professions are using people data • The various types of people data that are being used • How people analytics adds value to organisations • What the future holds for people data
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workday, workforce technology, digital strategy
    
Workday UK
Published By: IBM     Published Date: Jun 16, 2015
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
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cloud computing, mobility, big data, business analytics, it security landscape, enterprise networks, cloud integration, virtualization
    
IBM
Published By: IBM     Published Date: Jul 07, 2015
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
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the cloud, mobile, mobility, social, analytics, networks, enterprise network, big data
    
IBM
Published By: IBM     Published Date: Oct 20, 2015
An analytics-based marketing platform can help marketers tackle the opportunities and challenges of a data and consumer-driven marketplace.
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ibm, business analytics, marketing, cmo, digital strategy
    
IBM
Published By: IBM     Published Date: Apr 05, 2016
Learn why advanced analytics tools are essential to sustain a competitive advantage. This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
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ibm, predictive analytics, enterprise evolution, analytics tools, applied organization learning, enterprise applications
    
IBM
Published By: IBM     Published Date: Apr 05, 2016
It's no longer enough to be able to predict what might happen-organizations also need to know how to respond to predictive insights. This white paper describes how predictive analytics and decision optimization can work together to create a powerful end-to-end decision management system.
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ibm, business insight, business action, ibm decision optimization, ibm predictive analytics, enterprise applications
    
IBM
Published By: IBM     Published Date: Oct 26, 2016
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics.
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ibm, predictive analytics, analytics tools, advanced analytics, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
The synergy between predictive analytics and decision optimization is critical to good decision making. Predictive analytics offers insights into likely future scenarios, and decision optimization prescribes best-action recommendations for how to respond to those scenarios given your business goals, business dynamics, and potential tradeoffs or consequences. Together, predictive analytics and decision optimization provide organizations with the ability to turn insight into action—and action into positive outcomes. In this white paper, you’ll gain a better understanding of: The difference between predictive and prescriptive analytics How predictive and prescriptive actions complement one another to help you achieve optimized business decisions IBM’s approach to creating a powerful end-to-end decision management system
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ibm, predictive analytics, decision optimization, synergy, decision making, business goals, prescriptive analytics, decision management
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
Many companies can't predict which customer they will retain or which customers will increase their spend. With predictive analytics they can. This knowledge brief from Aberdeeon Group highlights research findings that show organizations which apply predictive analytics are able to: Establish timely and accurate insights into customer behavior. Empower employees to do their jobs more effectively. Encourage more repeat business and higher wallet share
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predictive analytics, customer experience, customer relationships, customer retention, customer behavior, residual business
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
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predictive analytics, increase sales, customer retention, fraud management, consumer expectations
    
IBM
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Hear Masood Heydari, SVP of SPARC Engineering, discuss details of Oracle's servers designed for cloud and scale-out, which provide security by default, better core efficiency for cloud apps, and accelerate data analytics at X86 commodity cost points
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"With the introduction of Oracle Database In-Memory and servers with the SPARC S7 and SPARC M7 processors Oracle delivers an architecture where analytics are run on live operational databases and not on data subsets in data warehouses. Decision-making is much faster and more accurate because the data is not a stale subset. And for those moving enterprise applications to the cloud, Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service. Moving to the Oracle Public Cloud does not compromise the benefits of SPARC solutions. Some examples of utilizing real time data for business decisions include: analysis of supply chain data for order fulfillment and supply optimization, analysis of customer purchase history for real time recommendations to customers using online purchasing systems, etc. "
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
According to Mary Johnston Turner, Research Vice President at IDC; "Breaking down technology specific management as well as data silos also facilitates faster infrastructure and application rollouts, reduces human errors, and improves overall business agility.Cloud based management, monitoring and analytics help to improve collaboration between IT operations and developer teams by stabilizing service levels and monitoring usage to support accurate charge back." 
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Mobile is the new normal for users to connect and consume content, you need to consider apps, mobile integration,security, analytics, development tools, life-cycle management, various mobile stakeholders, and the overall enterprise mobile ecosystem.
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Oracle PaaS/IaaS/Hardware
Published By: Adobe     Published Date: Jun 01, 2016
This report explores the evolution of the key features of course apps mobility, interactivity, engaging design, and integrated analytics — and showcase how course apps are sparking new thinking in higher education about the next iteration of digital learning resources.
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education, mobility, mobile applications, apps, course apps, mobile applications, interactivity, apps for education
    
Adobe
Published By: Sage People     Published Date: Mar 06, 2018
HR processes are changing. And, with the global skills crisis, HR Directors are struggling to attract and retain the best talent. Their departments are in flux, and 77% of organisations report a perceived lack of strategic value from HR.* If you’re going to win the war for talent, your organisation will need to make a radical change. It must transform its HR and become a People Company, utilising people data and analytics to make decisions based on real evidence. This will improve the way you interact with current and future employees, providing great workforce experiences. The result will be a more committed and engaged workforce, and increased interest in joining your organisation. From a business perspective too, you’ll benefit through higher levels of productivity, efficiency and improved performance and engagement.
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Sage People
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