big data solution

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Published By: TIBCO Software     Published Date: May 20, 2019
The biggest headache for most payment operations teams is cost control — and a large part of it comes from fraud management: Investigation teams waste large amounts of time just assembling the data needed to make decisions. Detection engines are always playing catchup with the latest fraud patterns. Ever changing regulations increase the time and cost required to reach compliance and meet audit standards. Given their scope and impact, replacing core fraud systems is not an option for most firms. But instead of replacing them, you can improve the investigative process with augmented investigation, and improve the detection process by enhancing current systems. This whitepaper describes three ways financial services firms can use TIBCO solutions to lower the cost of investigations through faster results, reduce fraud losses through better detection, and simplify audit and regulatory compliance through centralized access to information.
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compliance, audit, fraud, data, detection, transactions, investigation, cost
    
TIBCO Software
Published By: Sage     Published Date: Jul 08, 2015
Download this white paper to learn more about how to improve your organization's inventory management and control.
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inventory management, big data, inventory control, cost containment, customer service
    
Sage
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most compani
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Oracle
Published By: Teradata     Published Date: Feb 26, 2013
Business Insights Using Hadoop with SQL Analytics. Harness the value of big data analytics -- This report discusses a unified data architecture solution providing valuable insight from new and existing data.
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power of analytics, harnessing the value of big data, business intelligence, teradata, unified data architecture, it management, data management, business technology, data center
    
Teradata
Published By: Turn     Published Date: Mar 27, 2014
In this study from Forbes Insights and Turn, learn what privacy means to marketers and consumers.
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turn, forbes insights, privacy, big data, marketing, advertising, marketing solutions, security, digital marketing, marketing insights, software platform, cross-channel, analytics
    
Turn
Published By: Gemini Data     Published Date: Jan 16, 2018
The increasing reliance on big data platforms for all functions of the organization has been transformative. As these environments mature and data volumes increase, organizations face infrastructure and management scalability challenges. Gemini Enterprise Manager simplifies deployment and management with a turnkey, NoOps appliance, providing simplicity, security, and speed to accelerate the time to value for any analysis use case. Manager allows you to control your Splunk deployment as a single, unified solution deployed on premises, in the cloud or both.
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Gemini Data
Published By: Pure Storage     Published Date: Dec 05, 2018
Data is the new currency. Is your organization capitalizing on the full potential of data analytics? In this big data primer, you will learn about the 3 key challenges facing organizations today: managing overwhelming amounts of data, leveraging new complex tools/technologies, and developing the necessary skills and infrastructure. And since storage is where your organization's data lives, it’s a pivotal part of the infrastructure jigsaw puzzle. Thus with a “tuned for everything” storage solution that is purpose-built for modern analytics, you can confidently harness the power of your data to drive your enterprise forward.
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Pure Storage
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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Amazon Web Services
Published By: Fujitsu     Published Date: Dec 22, 2015
This whitepaper reveals how Ceph can be summed up as an open source software solution conceived and built to deliver hyper-scale performance and almost limitless expandability.
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ceph, storage, software, big data, data, scalability, storage infrastructure, software solution, architecture, software defined storage
    
Fujitsu
Published By: McAfee     Published Date: Jul 24, 2013
Big data holds many answers, but only if an organization has the capability to harness the ever growing amounts of security information. In deploying a SIEM solution to analyze this data, organizations can repel advanced threats in real-time as well as spot the stealthy, dormant threat.
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siem, big security data, security information, advanced threats, security intelligence, data management, business technology
    
McAfee
Published By: McAfee     Published Date: Apr 16, 2014
Big data holds many answers, but only if an organization has the capability to harness the ever growing amounts of security information. In deploying a SIEM solution to analyze this data, organizations can repel advanced threats in real-time as well as spot the stealthy, dormant threat.
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siem, big security data, security information, advanced threats, security intelligence
    
McAfee
Published By: QlikTech     Published Date: Aug 27, 2013
There is an incredible amount of interest in the topic of Big Data at present: for some organisations its use is an operational reality, providing unprecedented ability to store and analyse large volumes of disparate data that are critical to the organization’s competitive success. It has enabled people to identify new opportunities and solve problems they haven’t been able to solve before. Download this whitepaper to learn more.
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big data, qlikview, big data solutions, opportunity, business opportunity, competitive success, store, analyse, operational reality, knowledge management, business technology
    
QlikTech
Published By: Cisco     Published Date: May 15, 2015
Whitepaper focused on how leaning on bundled solutions and proven expertise can achieve big data success.
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big data, strategy, cisco, internet
    
Cisco
Published By: Infosys     Published Date: May 21, 2018
In HR, working purely on instinct is dangerous. HR Professionals are highly skilled, and their experienced opinion is extremely valuable when it comes to selecting candidates, assessing performance, and all the other important aspects of this function. But can you rely on their instinct alone? This was the big question that our client, a large CPG company was facing. When we realized this was the problem, the solution was obvious. Not necessarily easy, but obvious. There was plenty of data, but it wasn't being used to improve HR decision making. We designed an analytics solution that would improve HR Decision making. We designed an analytics solution that would improve the efficiency of data gathering, to make the HR function more effective. We then proposed an additional layer, which would use artificial intelligence (AI) to improve HR Decision-making further.
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company, employee
    
Infosys
Published By: EMC Corporation     Published Date: Mar 20, 2014
Big data security analytics is no longer a visionary idea -- leading enterprises recognize that their immediate security requirements demand this type of solution.
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emc, big data, incident response, malware detection, security journey, reduce risk, improve security, budget constraints, threat intelligence
    
EMC Corporation
Published By: IBM     Published Date: Aug 06, 2014
“Big data”– which admittedly means many things to many people – is no longer confined to the realm of technology. Today, it is a business imperative. In addition to providing solutions to insurance companies’ long-standing business challenges, big data inspires new ways to transform processes, organizations and many aspects of the insurance industry as we know it.
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ibm, insurance, data, big data, technology, business
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
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big data, analytics, insurance, customer service, solutions
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
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big data, analytics, insurance, customer service, solutions
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
“Big data”– which admittedly means many things to many people – is no longer confined to the realm of technology. Today, it is a business imperative. In addition to providing solutions to insurance companies’ long-standing business challenges, big data inspires new ways to transform processes, organizations and many aspects of the insurance industry as we know it.
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big data, technology, insurance industry
    
IBM
Published By: Interactive Intelligence     Published Date: Jan 17, 2014
Learn the performance “metrics that matter” for the contemporary contact center, as the definition of efficient customer service evolves.
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contact center, strategic planning, budgeting tools, customer experience, big data, budgeting tools, workforce management, data solution, planning solutions
    
Interactive Intelligence
Published By: IBM     Published Date: May 07, 2013
This book brings a practitioner’s view to Big Data Analytics. Download this ebook to read a practical viewpoint into leveraging analytics for Big Data. This book also draws material from a large number of workshops and interviews with business and IT leaders. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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practical viewpoint, analytics, big data, interviews, business
    
IBM
Published By: IBM     Published Date: May 07, 2013
Read this whitepaper to learn how businesses take advantage of the power of the cloud to build strong analytically oriented teams, adopt new ways to use information and jump ahead of their competition. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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analytics, cloud, business, innovation, computing, information, advantage, power
    
IBM
Published By: IBM     Published Date: May 08, 2013
Read this whitepaper to learn how Big analytics can improve your business decision making and enhance business innovation. Most of all what does it provide in terms of business value for big data. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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big data, value, analytics, improve, business, innovation
    
IBM
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