evolution analytics

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By: Pure Storage     Published Date: Sep 13, 2019
Discover how to revolutionize processing performance, data intelligence, customer experiences, and GRC. The future of financial services will belong to those who can capture and capitalize on data. And it all begins with employing modern data strategies in four critical areas. Description You’ll learn how to: Leverage AI, machine learning and predictive analytics. Get scalable, high-speed access to vast amounts of data. Respond faster, become more competitive, and attract new customers.
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     Pure Storage
By: Riverbed     Published Date: Jan 25, 2018
This Enterprise Management Associates® (EMA™) research summary, sponsored by Riverbed®, highlights some of the key findings of EMA’s landmark report, “Network Management Megatrends 2016: Managing Networks in the Era of the Internet of Things, Hybrid Cloud, and Advanced Network Analytics.” It examines several major areas of change and evolution affecting network management. These “megatrends” include hybrid cloud networking, the Internet of Things (IoT), advanced network analytics, network management outsourcing, and network management tool consolidation.
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     Riverbed
By: Dome9     Published Date: Apr 25, 2018
Last year at this time, we forecast a bumpy ride for infosec through 2017, as ransomware continued to wreak havoc and new threats emerged to target a burgeoning Internet of Things (IoT) landscape. ‘New IT’ concepts – from DevOps to various manifestations of the impact of cloud – seemed poised to both revolutionize and disrupt not only the implementation of security technology, but also the expertise required of security professionals as well. Our expectations for the coming year seem comparatively much more harmonious, as disruptive trends of prior years consolidate their gains. At center stage is the visibility wrought by advances in data science, which has given new life to threat detection and prevention – to the extent that we expect analytics to become a pervasive aspect of offerings throughout the security market in 2018. This visibility has unleashed the potential for automation to become more widely adopted, and not a moment too soon, given the scale and complexity of the thre
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     Dome9
By: TIBCO Software GmbH     Published Date: Jan 22, 2019
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution. Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze. Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform. Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing: • Reduced downtime • Minimized surplus and defects • Deep insights • End-to-end real-time visibility
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     TIBCO Software GmbH
By: Pega     Published Date: Aug 12, 2016
Digital transformation has fundamentally disrupted global manufacturing. It’s not just a single technological advancement; it’s a full range of emerging technologies that are revolutionizing the industry. Social, mobile, Big Data, analytics, cloud, and the Internet of Things are re-defining every organization’s operating models. Within the next decade, many manufacturers will find themselves managing operations that are virtually unrecognizable from the past century.
Tags : pega, mobil, big data, analytics, cloud
     Pega
By: CA Technologies_Business_Automation     Published Date: Jun 29, 2018
Technology is in a constant state of evolution, and the world of automation is no exception. In this eBook, we’ll consider how you can stay ahead of the competition—because in the application economy, it’s vital to ensure the tools your organization uses are capable of positioning you at the forefront of industry—not just today, but tomorrow as well. We are heading toward a scenario where workload automation tools are capable of thinking for themselves and making decisions based on policy; this is what we at CA Technologies are calling intelligent automation. At the same time, however, more and more challenges are being presented as the increasingly fragmented places our workloads run begin to impact our analytics, reporting and processes. The task is to navigate these hurdles while at the same time allowing our enterprises to harness the power of new technology.
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     CA Technologies_Business_Automation
By: Vena Solutions     Published Date: Oct 29, 2018
Even after more than 30 years, it's easy to see why Excel remains so popular. It's flexible, powerful and irreplaceable - especially in finance and accounting. But how well does it work in FP&A today? That's the question that Vena and the Association of Finance Professionals set out to answer in this objective research-based guide, Making Excel Work for FP&A. From taking advantage of Excel's full feature set, to adopting FP&A software built around Excel, there's no shortage of ways to get the most out of Excel for your FP&A needs.
Tags : making excel work for fp&a, excel evolution, excel for finance, spreadsheet software, microsoft excel, power bi, financial planning and analysis, cpm
     Vena Solutions
By: Google     Published Date: Oct 26, 2018
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
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
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.
Tags : ibm, predictive analytics, enterprise evolution, analytics tools, applied organization learning, enterprise applications, data management
     IBM
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.
Tags : education, mobility, mobile applications, apps, course apps, mobile applications, interactivity, apps for education
     Adobe
By: Trifacta     Published Date: Feb 12, 2019
Over the past few years, the evolution of technology for storing, processing and analyzing data has been absolutely staggering. Businesses now have the ability to work with data at a scale and speed that many of us would have never thought was possible. Yet, why are so many organizations still struggling to drive meaningful ROI from their data investments? The answer starts with people. In this latest Data Science Central webinar, guest speakers Forrester Principal Analyst Michele Goetz and Trifacta Director of Product Marketing Will Davis focus on the roles and responsibilities required for today’s modern dataops teams to be successful. They touch on how new data platforms and applications have fundamentally changed the traditional makeup of data/analytics organizations and how companies need to update the structure of their teams to keep up with the accelerate pace of modern business. Watch this recorded webcast to learn: What are the foundational roles within a modern dataops team a
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     Trifacta
By: Trifacta     Published Date: Feb 12, 2019
Over the past few years, the evolution of technology for storing, processing and analyzing data has been absolutely staggering. Businesses now have the ability to work with data at a scale and speed that many of us would have never thought was possible. Yet, why are so many organizations still struggling to drive meaningful ROI from their data investments? The answer starts with people. In this webinar, guest speakers Forrester Principal Analyst Michele Goetz and Trifacta Director of Product Marketing Will Davis focus on the roles and responsibilities required for today’s modern dataops teams to be successful. They touch on how new data platforms and applications have fundamentally changed the traditional makeup of data/analytics organizations and how companies need to update the structure of their teams to keep up with the accelerate pace of modern business. Watch this recorded webcast to learn: What are the foundational roles within a modern dataops team and how to align skill set
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     Trifacta
By: CA Technologies     Published Date: Feb 08, 2018
CNP fraud is showing no signs of deceleration and is, in fact, expanding rapidly. New trends and new threats call for a revolutionary approach to effectively stop fraud. Learn how to deploy solutions that can quickly distinguish between genuine and fraudulent transactions and take appropriate action instantly. Explore the CA Risk Analytics Network.
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     CA Technologies
By: Visier     Published Date: Nov 04, 2014
An analytics revolution is upon us. Knowledge workers are in short supply, the competition for talent has gone global; turnover is rising; and employee engagement is stagnant at best. How can companies attract, retain, and develop employees who can drive business results and have the data to back up these decisions? A recent survey found more than 80% of respondents said that they needed talent-related insights to make business decisions. Yet most enterprises still base talent decisions on gut feeling. Few can offer analytic evidence to support their hunches. Now, finally, analytics are beginning to drive decisions about people.
Tags : visier, workforce analytics, hr metrics, planning
     Visier
By: IBM     Published Date: Oct 28, 2016
What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses? This is referred to as cognitive computing and is key to providing an analytics system that is easy to use but extremely powerful. Listen to this webinar, led by Jackie Ryan, the Director of Product Management for IBM's Smarter Workforce Portfolio, and learn about: The evolution of cognitive computing How cognitive computing transforms HR How to get started with cognitive talent analytics
Tags : ibm, kenexa, talent insights, talent analytics, enterprise applications
     IBM
By: Determine (Selectica)     Published Date: Jun 29, 2017
Cloud-based solutions are revolutionizing the way that enterprises conduct business. These web-based versions of common business tools, like analytics or document management tools, retain most or all of the functionality of their desktop versions and provide significant access, customization, and utility to end users. More organizations are ditching on-premises solutions and adopting cloud-based tools, also known as Software-as-a-Service (SaaS), "hosted," or "on-demand" solutions. The are becoming invaluable assets in today's agile and mobile workforce.
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     Determine (Selectica)
By: TIBCO Software     Published Date: Feb 14, 2019
With the new TIBCO Spotfire® A(X) Experience, we are revolutionizing analytics and business intelligence. This new platform accelerates the personal and enterprise analytics experience so you can get from data to insights in the fastest possible way. With the fusion of technology enablers like machine learning, artificial intelligence, and natural language search, the Spotfire® X platform redefines what’s possible for analytics and business intelligence, simplifying for everyone how data and insights are generated, consumed, and acted on. Download this whitepaper to learn more, then check out the new Spotfire analytics. It’s unlike anything you have ever seen. Simple, yet powerful, it changes everything.
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     TIBCO Software
By: Group M_IBM Q119     Published Date: Mar 04, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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     Group M_IBM Q119
By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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     Group M_IBM Q2'19
By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
In the last few years we have seen a rapid evolution of data. The need to embrace the growing volume, velocity and variety of data from new technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) has been accelerated. The ability to explore, store, and manage your data and therefore drive new levels of analytics and decision-making can make the difference between being an industry leader and being left behind by the competition. The solution you choose must be able to: • Harness exponential data growth as well as semistructured and unstructured data • Aggregate disparate data across your organization, whether on-premises or in the cloud • Support the analytics needs of your data scientists, line of business owners and developers • Minimize difficulties in developing and deploying even the most advanced analytics workloads • Provide the flexibility and elasticity of a cloud option but be housed in your data center for optimal security and compliance
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     Group M_IBM Q3'19
By: Hortonworks     Published Date: Apr 05, 2016
The advent of big data revolutionized analytics and data science and created the concept of new data platforms, allowing enterprises to store, access and analyze vast amounts of historical data. The world of big data was born. But existing data platforms need to evolve to deal with the tsunami of data-in-motion being generated by the Internet of Anything (IoAT).
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     Hortonworks
By: Oracle     Published Date: Feb 21, 2018
Welcome to Oracle Mobile Cloud, Enterprise (OMCe), the new platform for building engaging experiences across all of your digital channels. Expand the power of those channels with the next giant leap in our evolution: intelligent bots backed by artificial intelligence (AI). And if that’s not enough, the new OMCe Analytics tools provide deep insights into user adoption, so you can steer customers toward the behavior you want. Talk about impressive! Ready to learn more?
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     Oracle
By: TIBCO Software     Published Date: Sep 12, 2018
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution. Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze. Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform. Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing: • Reduced downtime • Minimized surplus and defects • Deep insights • End-to-end real-time visibility
Tags : internet of things, connected ecosystem, big data, operations monitoring, process control, analytical techniques
     TIBCO Software
By: TIBCO Software     Published Date: Feb 26, 2019
Digital Transformation of America's largest family controlled financial services institution with a history dating back to three generations. Learn how the role of data changed at the bank during a continued evolution of customer experience. First Citizens Bank has been using TIBCO's integration and advanced analytics technology to provide a seamless, consistent, customer self-service experience, to tackle fraud, or to provide more accurate and proactive financial services.
Tags : financial services, digital transformation, banking, fraud
     TIBCO Software
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