transact

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Published By: Active International     Published Date: Dec 10, 2015
This video discusses how a typical corporate trade transaction works, the associated economic benefits and how value is created.
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Active International
Published By: Dynatrace     Published Date: May 20, 2016
This report details how T-Mobile did exactly that, and how you can do the same: - Base your plan on your own business and visitor data - Correlate performance to transaction completion rate - Determine where you'll see the most return for your technology and time investment
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dynatrace, software development, devops, tmobile, digital performance, speed
    
Dynatrace
Published By: Dynatrace     Published Date: Jul 29, 2016
Gap free data helps you create and manage high-performing applications that deliver flawless end-user experience and customer loyalty. To be gap free, you must capture data from every single method in your application infrastructure, end-to-end, including timing and code-level context for all transactions, services and tiers, and make the data available for analysis. This eBook gives you technical and business case details that will show you why gap free data is a critical part of your application management strategy.
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dynatrace, gap free data, applications, application performance, development, devops, application infrastructure, application performance management
    
Dynatrace
Published By: Onbase     Published Date: Feb 18, 2016
During the past 10 years, organizations have adopted accounts payable (AP) automation technologies at an accelerating pace. Document imaging, data capture, and other solutions are radically transforming the way AP departments work with their traditionally most common medium, paper. At the same time, the promise of electronic transactions is quickly becoming more of a reality, with growth year after year in the number of transactions sent and received electronically.
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accounts payable, account management, business practices, optimization strategies
    
Onbase
Published By: Mirador     Published Date: Jul 18, 2016
More and more, software-based solutions determine lenders’ profitability. Traditional lenders will not survive in the small business loan market without a renewed tech-driven focus on reducing transaction costs, accelerating decision cycles, embracing tech-touch, and expanding risk management tools.
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Mirador
Published By: CA Technologies     Published Date: Jul 20, 2017
Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
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CA Technologies
Published By: CA Technologies     Published Date: Jul 20, 2017
Mission essential systems run on mainframes. With 71% of corporate data, it is no wonder that 63% of your peers are forecasting growth in utilization. What’s more is that the Mainframe now finds itself at an inflection point: going from being a supporting platform of transaction revenue to becoming a source of revenue growth and innovation. In fact, according to IDC Connected Mainframe adopters are realizing 300% ROI, a 10 month payback and additional $200M in application revenue. The Infographic also covers the 2 main strategies of Connected Mainframe – Modernization and Integration and technology initiatives under each with customer quotes.
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CA Technologies
Published By: CA Technologies     Published Date: Jul 20, 2017
e-book which lays out the case for machine learning and artificial intelligence for mainframe operational analytics. The mainframe is now part of a highly complex connected ecosystem driving trillions of mobile and web transactions critical to the functioning of the application economy. The emergence of new workloads and apps on the mainframe means that the status quo isn’t enough when it comes to Mainframe management. IT professionals alone – whether mainframe skilled or not – simply can’t keep up with the onslaught of performance alerts, false alarms. Machine learning deliver mainframe intelligence a more proactive and automated approach to handle this challenge.
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CA Technologies
Published By: CA Technologies     Published Date: Aug 22, 2017
Effectively supporting these new business demands has become more complex and challenging. The increased use of mobile devices alone is driving exponential growth in transaction volumes. A customer pushes a button on his or her cell phone, for example, to check a bank balance. That single transaction triggers a cascade of transactions as the request is validated and data is accessed, retrieved and then sent back to the customer.
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storage, systems, network, applications, data, automation, ca technologies
    
CA Technologies
Published By: Arm Treasure Data     Published Date: Oct 17, 2018
What does it take to succeed in today’s hypercompetitive and hyperconnected digital economy? Keep reading to find out.
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arm treasure data, treasure data, customer data, data insights, customer intelligence, customer engagement, customer transactions, web analytics
    
Arm Treasure Data
Published By: Attunity     Published Date: Jan 14, 2019
This whitepaper explores how to automate your data lake pipeline to address common challenges including how to prevent data lakes from devolving into useless data swamps and how to deliver analytics-ready data via automation. Read Increase Data Lake ROI with Streaming Data Pipelines to learn about: • Common data lake origins and challenges including integrating diverse data from multiple data source platforms, including lakes on premises and in the cloud. • Delivering real-time integration, with change data capture (CDC) technology that integrates live transactions with the data lake. • Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assemble a historical data store. • Leveraging a scalable and autonomous streaming data pipeline to deliver analytics-ready data sets for better business insights. Read this Attunity whitepaper now to get ahead on your data lake strategy in 2019.
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data lake, data pipeline, change data capture, data swamp, hybrid data integration, data ingestion, streaming data, real-time data
    
Attunity
Published By: Attunity     Published Date: Feb 12, 2019
Read this technical whitepaper to learn how data architects and DBAs can avoid the struggle of complex scripting for Kafka in modern data environments. You’ll also gain tips on how to avoid the time-consuming hassle of manually configuring data producers and data type conversions. Specifically, this paper will guide you on how to overcome these challenges by leveraging innovative technology such as Attunity Replicate. The solution can easily integrate source metadata and schema changes for automated configuration real-time data feeds and best practices.
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data streaming, kafka, metadata integration, metadata, data streaming, apache kafka, data integration, data analytics
    
Attunity
Published By: F5 Networks Singapore Pte Ltd     Published Date: Jun 18, 2019
In today's digitalized economy, web applications and the browsers that connect to them predominantly rely on the Secure Socket Layer (SSL) and Transport Layer Security (TLS) protocols to encrypt sensitive business information and personally identifiable information (PII) – such as customers’ credit card details, user account passwords, corporate sales and payroll data, etc. – before sending them securely over the internet. SSL/TLS encryption ensures information transmitted over the internet through e-mails, e-commerce and online banking transactions and a myriad of cloud and online services are kept secure.
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F5 Networks Singapore Pte Ltd
Published By: Riskified     Published Date: Aug 06, 2019
For online retailers, CNP fraud is a serious problem that will only get larger as the eCommerce market continues to grow. According to a recent report by Juniper Research, the cost of fraudulent eCommerce transactions is projected to rapidly increase over the next 5 years, reaching approximately $71 billion by 2022
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Riskified
Published By: Riskified     Published Date: Aug 06, 2019
Fraud is scary, and there are many valid reasons for merchants to decline suspicious transactions in the name of fraud prevention. But often, in the quest to avoid abuse, risk-averse vendors take defensive measures too far. According to industry data, the average merchant loses 5.5% of their revenue to false declines — perfectly legitimate orders, rejected because they seem suspicious.
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Riskified
Published By: CyberSource EMEA     Published Date: Jun 28, 2018
It has to be quick and easy for people to pay. At the same time, fraudsters are probing the weaknesses of new digital processes. As the person who can decide whether a transaction is accepted or rejected, fraud managers have a pivotal role. They’re not just preventing losses from chargebacks. They’re gatekeepers to accepting more revenue. It’s a complex job. But get it right, and they enable their business to engage customers better – across devices and places. And that can mean supporting the very growth of the business. In this landscape, the idea that a technology like machine learning might be the answer to all the industry’s needs is attractive. But while machine learning should be a key part of an effective fraud strategy, the truth is that there’s no silver bullet. So, in this paper, we’ll look at how best to put machine learning to use. By employing it in tandem with expert insight, merchants can use it to accept the optimal number of payments. And make a direct impact on the
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CyberSource EMEA
Published By: Intel     Published Date: Dec 13, 2018
Technology plays a key role in online shopping, where online retailers gain a greater understanding of their customers through data from their browsing and purchasing habits. Today, when consumers shop in brick-and-mortar stores, they expect the same personalized and responsive service. To help retailers achieve this level of service, a combination of hardware and software—Intel® Vision Accelerator Design products, cameras, AI deep learning video analysis technology— do the work for you. Uncover how Advantech system uses the Intel Vision Accelerator Design with Intel Movidius VPU to drive • Overall store performance such as the number of visitors and transactions, point-of-sale data, sales per shopper and the store’s ranking, and can distinguish traffic patterns by weather and time of day • Traffic and sales analysis for better staff allocation and marketing-event planning • Store heatmap analysis for more precise merchandise placement and product promotion
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Intel
Published By: Sparton Corporation     Published Date: Oct 09, 2018
Manufacturing suppliers range from approved vendors and contract manufacturers (CMs) who only deliver materials and services to complex strategic partnerships. A transactional relationship based primarily on order fulfillment might work well for some companies. However, by taking a CM relationship to the next level of supplier-partner, organizations gain strategic benefits including cost savings, reduced risks, and optimized profits. The right cultural fit and the right-sized partner for your business can play a key role in building this long-term relationship.
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Sparton Corporation
Published 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
Published By: Rackspace     Published Date: Apr 02, 2019
Traditional retailers seeking to digitalize their brand connections to customers, do so with Eagle Eye AIR, a SaaS platform for creating intelligent, real-time digital and mobile solutions for promotions, loyalty programs, rewards and more. With rapid business growth, the volumes of transactions processed per second are constantly being rewritten – yet, its customers’ transactional throughput keeps running smoothly – which is all thanks to the successful migration of its dedicated infrastructure to Google Cloud Platform (GCP). Being a longstanding customer of Rackspace, Eagle Eye trusted the Rackspace Managed Services team in providing expert guidance for every stage of its migration project – which is part of a bigger exercise to transform its technical capabilities.
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Rackspace
Published By: HERE Technologies     Published Date: Sep 26, 2018
Advertisers are beginning to invest in location insights which give them data on how and why transactions are made in specific places. U.S. marketers are poised to double their spend on location-targeted mobile ads between 2017 and 2021 to $32 billion, according to research firm BIA/Kelsey. Understanding location is key to gaining insights and making change. HERE offers data sets and services that advertisers can use to contextualize consumer movements and habits in the world around them. This gives them well-timed and relevant advertising.
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location data, ad tech, location targeting
    
HERE Technologies
Published By: HERE Technologies     Published Date: Sep 26, 2018
Adsquare offers brands insights into customer behaviours and footfall to underpin digital marketing campaigns. Using a detailed brief of the audience the brand wishes to reach, Adsquare gathers data from a range of mobile, online and offline sources. This rich data gives a brand a stronger opportunity to create relevant campaigns for their audiences. It is critical to adsquare’s success that its data sources are reliable. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE is building and sharing real-time location intelligence with adsquare which reveals patterns to show how and why customers make transactions in specific places. and why customers make transactions in specific places.
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HERE Technologies
Published By: HERE Technologies     Published Date: Sep 26, 2018
How can brands make the most of the growing opportunities offered by location data? Understanding location and its connection to customer behaviour is key to gaining full and reliable insights and making efficient change. HERE is building and sharing real-time location intelligence which reveals why customers make transactions in specific places. HERE’s Open Location Platform contextualises consumer motivations in the world around them. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE also shares its own insights into the future of reaching customers on their mobile devices as they travel, including in-car advertising.
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HERE Technologies
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Jan 31, 2019
LTI built a transaction monitoring cognitive data lake to facilitate AML transaction monitoring across post trade transactions for a leading global bank, which resulted in reduction of human errors by 30% and TAT improvement by 50%. Download Complete Case Study.
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Larsen & Toubro Infotech(LTI)
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Jan 31, 2019
LTI helped a leading global bank digitize its traditional product ecosystem for AML transaction monitoring. With the creation of a data lake and efficient learning models, the bank successfully reduced false positives and improved customer risk assessment. Download Complete Case Study.
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Larsen & Toubro Infotech(LTI)
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