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Published By: Pure Storage     Published Date: Apr 18, 2018
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits. For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars
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Pure Storage
Published By: Pure Storage     Published Date: Apr 18, 2018
Apache Spark has become a critical tool for all types of businesses across all industries. It is enabling organizations to leverage the power of analytics to drive innovation and create new business models. The availability of public cloud services, particularly Amazon Web Services, has been an important factor in fueling the growth of Spark. However, IT organizations and Spark users are beginning to run up against limitations in relying on the public cloud—namely control, cost and performance.
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Pure Storage
Published By: Q2 eBanking     Published Date: Jul 30, 2017
Many financial institutions see their customer data as one of their most valuable assets. Unlocking insights from that data helps FIs understand, anticipate and offer account holders the products and services they truly need. A major trend to unlocking customer insights is using machine learning to surface the behavioral intelligence buried in the large amount of account holder transactional data captured each and every day. In this paper, learn how a group of talented, enthusiastic analysts with an open approach to data can yield some very interesting and extremely valuable and actionable results. This approach, championed by Q2 Executive Vice President and CTO Adam Anderson, has led to a new platform, Q2 SMART, which provides powerful behavioral analytics for financial institutions, enabling growth while providing account holders with real value.
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Q2 eBanking
Published By: Google     Published Date: Dec 03, 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
Published By: CA Technologies EMEA     Published Date: Oct 19, 2017
Nous avons tous vécu cette expérience. Nous nous habituons tellement à la manière dont les choses se font que nous ne remettons pas souvent en cause les raisons pour lesquelles nous les faisons
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api, application programming interface, psd2, open banking, json, github, api gateway, apim, api management, full api lifecycle, restful web services, api portal, gestion des api, portail api, oauth, openid connect, rest json, soap xml, api analytics, orchestration transformation
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Oct 19, 2017
Découvrons comment les premiers adeptes de ces technologies ont su gérer avec succès les API pour générer de la croissance.
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api, application programming interface, psd2, open banking, json, github, api gateway, apim, api management, full api lifecycle, restful web services, api portal, gestion des api, portail api, oauth, openid connect, rest json, soap xml, api analytics, orchestration transformation
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Oct 19, 2017
Banques, gestionnaires de patrimoines, établissements de crédit et autres institutions financières. Tous constatent d’importants changements, conséquence d’une évolution de la demande et du nouvel arsenal réglementaire. Ces entreprises sont tenues de revoir leurs priorités, leurs processus et leurs produits, avant de jeter les bases de leur future réussite. La solution ? Les logiciels.
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api, application programming interface, psd2, open banking, json, github, api gateway, apim, api management, full api lifecycle, restful web services, api portal, gestion des api, portail api, oauth, openid connect, rest json, soap xml, api analytics, orchestration transformation
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Oct 19, 2017
L’économie des applications oblige les entreprises à se transformer. Pour saisir de nouvelles opportunités de croissance, elles s’ouvrent sur l’extérieur et partagent des données et applications sélectionnées avec des développeurs, des partenaires, des appareils mobiles, le Cloud et l’Internet des objets. Cette transformation contribue à redonner de la valeur aux données héritées : dans l’économie des applications, une organisation qui parvient à exploiter ces données d’une nouvelle manière pourra faire émerger de nouvelles opportunités de revenus.
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api, application programming interface, psd2, open banking, json, github, api gateway, apim, api management, full api lifecycle, restful web services, api portal, gestion des api, portail api, oauth, openid connect, rest json, soap xml, api analytics, orchestration transformation
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Oct 19, 2017
Les API ne sont pas une technologie nouvelle, mais dans le monde numérique actuel, elles occupent une place croissante et deviennent essentielles pour chacune des facettes de l’entreprise. Dans ce contexte, il est logique que de plus en plus d’entreprises cherchent à gérer efficacement ces API. Mais à quoi ressemble une solution efficace de gestion des API ?
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api, application programming interface, psd2, open banking, json, github, api gateway, apim, api management, full api lifecycle, restful web services, api portal, gestion des api, portail api, oauth, openid connect, rest json, soap xml, api analytics, orchestration transformation
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Oct 19, 2017
CA Live API Creator vous fournit les trois éléments nécessaires à chaque prototype d’application : • Base de données • Logique métier • Interface utilisateur Base de données : la vôtre ou la nôtre Vous pouvez utiliser votre base de données existante ou une base de données créée pour vous dans le Cloud par CA Live API Creator. Quoi qu’il en soit, vous êtes rapidement opérationnel.
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api, application programming interface, psd2, open banking, json, github, api gateway, apim, api management, full api lifecycle, restful web services, api portal, gestion des api, portail api, oauth, openid connect, rest json, soap xml, api analytics, orchestration transformation
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Oct 19, 2017
Aujourd’hui, le numérique est omniprésent : Cloud, appareils mobiles, réseaux sociaux et Internet des objets modifient notre manière de travailler et de nous divertir.
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api, application programming interface, psd2, open banking, json, github, api gateway, apim, api management, full api lifecycle, restful web services, api portal, gestion des api, portail api, oauth, openid connect, rest json, soap xml, api analytics, orchestration transformation
    
CA Technologies EMEA
Published By: Insight Software     Published Date: Mar 14, 2018
xxxx
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kpi, business, data, analytics, metrics, hubble
    
Insight Software
Published By: Insight Software     Published Date: Mar 14, 2018
xxx
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company, data, organization, analytics, metrics, hubble
    
Insight Software
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
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.
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Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Jul 05, 2018
Scalable data platforms such as Apache Hadoop offer unparalleled cost benefits and analytical opportunities. IBM helps fully leverage the scale and promise of Hadoop, enabling better results for critical projects and key analytics initiatives. The end-to- end information capabilities of IBM® Information Server let you better understand data and cleanse, monitor, transform and deliver it. IBM also helps bridge the gap between business and IT with improved collaboration. By using Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of- impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time. Since its inception, Information Server has been a massively parallel processing (MPP) platform able to support everything from small to very large data volumes to meet your requirements, regardless of complexity. Information Server can uniquely support th
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IBM
Published By: IBM     Published Date: Jul 09, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
There are three things that senior executives in the financial services industry want from their investments in computing systems. They are the same three things these institutions require for their very survival. First is unwavering security. The integrity of customer accounts and records is paramount to maintain trust across the financial ecosystem. Cybercrime is anathema to the core function of banking and cannot be tolerated. Next is captivating, personalized experiences based on real-time data analytics leading to instantaneous customer fulfillment. And finally, there is the essential delivery of these secure experiences while providing a cost and efficiency advantage over competing solutions
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Group M_IBM Q418
Published By: Tricentis     Published Date: Jan 08, 2018
Data. It seems to be everywhere today and yet we can never get enough of it. But as it turns out, a lack of data isn’t our problem -- our problem is the difficulty piecing together, understanding and finding the story in all the data that’s in front of us. In software testing in particular, the need for consolidated, meaningful test metrics has never been higher. As both the pace of development and the cost of delivering poor quality software increase, we need these metrics to help us test smarter, better and faster. Fortunately, business intelligence now exists to make this goal a reality. The analytics these tools provide can help drive efficient and effective testing by providing teams with insight on everything from testing quality and coverage to velocity and more. And this knowledge can position the QA team as trusted experts to advise the entire software development team on steps that can ensure a better quality end result.
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Tricentis
Published By: Hitachi Vantara     Published Date: Aug 02, 2018
In this inforgraphic, we are going to show you the possibilities with modernised, optimized data infrastructure. In doing so, we aim to bring you ideas about how you can bring your own data-driven business vision to life, focusing on the outcomes that matter most to you. In essence, we will be discussing five main industries and the possibilities for modernized data infrastructure. We will be displaying how Banking and Financial Services, Telecommunications, manufacturing, healthcare and retail can use data, analytics and automation to optimize their business, therefore bringing about a competitive edge which previous appeared unimaginable. Using data correctly, most importantly building proper data infrastructures, can be the driving force behind obtaining a competitive edge. Data is your story. And it’s our story, too.
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digital transformation, data infrastructure, data optimisation
    
Hitachi Vantara
Published By: Hitachi Vantara     Published Date: Aug 13, 2018
In this inforgraphic, we are going to show you the possibilities with modernised, optimized data infrastructure. In doing so, we aim to bring you ideas about how you can bring your own data-driven business vision to life, focusing on the outcomes that matter most to you. In essence, we will be discussing five main industries and the possibilities for modernized data infrastructure. We will be displaying how Banking and Financial Services, Telecommunications, manufacturing, healthcare and retail can use data, analytics and automation to optimize their business, therefore bringing about a competitive edge which previous appeared unimaginable. Using data correctly, most importantly building proper data infrastructures, can be the driving force behind obtaining a competitive edge. Data is your story. And it’s our story, too.
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Hitachi Vantara
Published By: Oracle     Published Date: Jan 09, 2019
Speed has become the necessary basis of competition. See how Oracle aims to help clients with this through their vision for autonomous database.
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Oracle
Published By: Bluewater Learning     Published Date: Apr 30, 2018
There is a movement towards advanced and predictive analytics in the Learning and Talent Management space. But what does that really mean? Bluewater’s team of consultants and developers can help you define what analytics means for your company,
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Bluewater Learning
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software
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