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Published By: Gigaom     Published Date: Sep 16, 2019
We’ve heard it before. A data warehouse is a place for formally-structured, highly-curated data, accommodating recurring business analyses, whereas data lakes are places for “raw” data, serving analytic workloads, experimental in nature. Since both conventional and experimental analysis is important in this data-driven era, we’re left with separate repositories, siloed data, and bifurcated skill sets. Or are we? In fact, less structured data can go into your warehouse, and since today’s data warehouses can leverage the same distributed file systems and cloud storage layers that host data lakes, the warehouse/lake distinction’s very premise is rapidly diminishing. In reality, business drivers and business outcomes demand that we abandon the false dichotomy and unify our data, our governance, our analysis, and our technology teams. Want to get this right? Then join us for a free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and special guest, Dav
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Gigaom
Published By: Movable Ink     Published Date: Apr 01, 2016
Modern marketers have access to endless amounts of data and limited time to process and analyse it. Transforming it into something that offers real value is essential and the basis for marketing success. Download ‘8 Smart Data Tips for Modern Marketers’ to get actionable tips and tricks that will help you avoid analysis paralysis, enhance customer experiences and identify new customers.
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email marketing, big data marketing, marketing automation, email personalisation
    
Movable Ink
Published By: Amazon Web Services     Published Date: Apr 11, 2018
Effectively monitoring and managing cloud infrastructure configuration changes and performing on-going vulnerability analyses through forensics, troubleshooting, audits, and automation are key activities to help secure your AWS environment.
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Amazon Web Services
Published By: Procore     Published Date: May 13, 2019
As the construction industry becomes more competitive, regulations increase and skilled labour becomes more selective; the one thing that will define your company from the competition is your data. The best companies use real, situational data in pre-task analyses daily to report on and improve their Quality, Safety and Productivity processes and performance. Download your copy to learn: • The importance of including quality, safety and productivity in your pre-task analyses • Using the three-part task-analysis approach • How to collect meaningful data to track performance
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Procore
Published By: McAfee EMEA     Published Date: Mar 14, 2018
Die Nutzung von Cloud Computing-Services nimmt weiterhin stark zu, da Unternehmen ihre Geschäftsanwendungen und Daten zu Cloud-basierten Software-, Plattformund Infrastrukturdiensten migrieren. Gartner geht davon aus, dass die Ausgaben für öffentliche Cloud-Dienste im Jahr 2017 um 18 % steigen und bis 2020 mehr als 50 % der IT-Ausgaben in Zusammenhang mit der Cloud-Implementierung stehen werden. Deloitte Global sagt voraus, dass bis Ende des Jahres 2022 mehr als die Hälfte aller IT-Ausgaben auf IT-as-a-Service-Anbieter entfallen werden. Bei der Frage nach den größten Herausforderungen bei der Cloud-Absicherung nannten in der 2016er Ausgabe dieser Umfrage 56 % der befragten Sicherheitsexperten den unzureichenden Zugriff auf die erforderlichen Daten für die Reaktion auf Zwischenfälle sowie für forensische Analysen. 62 % gaben an, dass sie über nicht autorisierte Zugriffe von Außenstehenden besorgt sind, und 59 % machten sich Sorgen über andere Cloud-Mandanten. Von den 10 %, die eine Ko
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McAfee EMEA
Published By: MuleSoft     Published Date: Sep 09, 2019
La plus grande difficulté consiste justement à transformer une entreprise existante en une entreprise adoptant l'approche de l'écosystème et de la plateforme digitale comme logique dominante, de façon à intégrer l'économie des APIs. Ceci étant, qu'est-ce que cela implique-réellement et quelles sont les bonnes pratiques qui vous aideront dans cette entreprise ? En nous basant sur l'expérience de MuleSoft auprès de plus de 1 000 clients professionnels et sur les analyses de ProgrammableWeb.com, qui commente les succès et échecs de l'économie des APIs, nous avons conçu ce plan stratégique relatif aux APIs pour vous aider. Dans une approche très pragmatique, ce plan API stratégique se divise en quatre étapes. Chaque étape représente un ensemble de fondamentaux commerciaux et technologiques incontournables. Ceux-ci peuvent facilement être abordés par des organisations motivées qui disposent du soutien de leur corps exécutif et d'une bonne dose de patience. Ces étapes sont les suivantes : ›
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MuleSoft
Published By: SugarCRM     Published Date: Jan 17, 2014
Das neueste Release von Sugar gibt Nutzern neue Tools für den Aufbau bester Kundenbeziehungen. Lesen Sie eine Analyse von Ovum über Sugar’s optimierte Leistungsfähigkeit, die Unternehmen beim Ausbau der Kundenbindung und –zufriedenheit unterstützt. (Report nur in Englisch verfügbar.)
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swot assessment, sugarcrm, catalyst, software, crm, sugarcrm v7, relationship management, customer relationship
    
SugarCRM
Published By: SugarCRM     Published Date: Feb 21, 2014
Bei der Entscheidung für ein CRM-System ist es wichtig, sicherzustellen, dass keine versteckten Zusatzgebühren oder extra Kosten anfallen, die Einfluss auf den Return on Investment haben. Die Analyse zeigt die Gesamtbetriebskosten von ier führenden CRM-Lösungen für das mittlere Marktsegment.
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crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing
    
SugarCRM
Published By: SugarCRM     Published Date: May 13, 2014
IBM nutzte das einzigartige, nutzerfokussierte CRM-System Sugar, um seine globale Vertriebsorganisation neu zu gestalten. Es wurde eine neue Lösung für Vertriebsrepräsentanten eingeführt, die weltweit Millionen von Opportunities verwalten. Lesen Sie in der Analyse von Ovum, einem führenden Technologie-Research-Unternehmen, wie IBM diese Herkulesaufgabe in Rekordzeit umsetzte.
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ibm, crm, ovum, sugar, global sales organization, sugarcrm, success
    
SugarCRM
Published By: AWS     Published Date: Oct 26, 2018
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
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data, lake, amazon, web, services, aws
    
AWS
Published By: AWS     Published Date: Nov 28, 2018
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy. Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
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AWS
Published By: Emarsys     Published Date: May 21, 2015
Die Customer Journey der meisten Retailer funktioniert nicht: 98% der Besucher konvertieren nie. Von den wenigen, die doch konvertieren, kommen 70% nie wieder zurück. Das ist weder effizient noch nachhaltig. Die Rückgewinnung von Warenkorbabbrechern ist nur ein Teil des Puzzles. Dieses Whitepaper erklärt Ihnen, wie Ecommerce Marketer Umsatzchancen erkennen, erhalten und umsetzen und zwar mit Hilfe einer Revenue Recovery Strategie, die auf der Analyse des Kundenverhaltens basiert.
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revenue, ecommerce, marketing, analytics, revenue recovery, conversion
    
Emarsys
Published By: IBM     Published Date: Apr 03, 2017
Predictive analytics is powerful. It can help drive significant improvement to an organization’s bottom line. Look for ways to use it to grow revenue, shrink costs and improve margins. Provide a platform that enables your data scientists to work efficiently using tools and algorithms they prefer. Enhance your analyses with internal and external data, structured and unstructured data. Then make the analytics accessible in order to reap the full benefits of these valuable analyses. Stay ahead of the curve in your market with predictive analytics, and give your organization a competitive advantage and an improved bottom line.
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predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources
    
IBM
Published By: IBM     Published Date: Oct 03, 2017
Many new regulations are spurring banks to rethink how data from across the enterprise flows into the aggregated risk and capital reports required by regulatory agencies. Data must be complete, correct and consistent to maintain confidence in risk reports, capital reports and analytical analyses. At the same time, banks need ways to monetize, grant access to and generate insight from data. To keep pace with regulatory changes, many banks will need to reapportion their budgets to support the development of new systems and processes. Regulators continually indicate that the banks must be able to provide, secure and deliver high-quality information that is consistent and mature.
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data aggregation, risk reporting, bank regulation, enterprise, reapportion budgets
    
IBM
Published By: IBM     Published Date: Oct 15, 2013
Discover the four key dimensions to personalized web marketing, and learn from the real life successes of enterprises that have made the personalized web a core part of their growth strategies.As you can see, web marketing can achieve comparable success when you make the four personalization steps your own.
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ibm unica, click-throughs, personalizing web experience, customer needs, data sources, specific site analyses, across channels, sales and marketing opportunities
    
IBM
Published By: Cisco     Published Date: Dec 21, 2016
Beginning with a brief overview of private cloud computing and the evolution of on-premises private clouds, we will compare Cisco Metapod to options from VMware and the OpenStack community. We’ll also describe Cisco’s unique OpenStack as a Service (OaaS) operating model, and present Total Cost of Ownership (TCO) analyses that compare Cisco Metapod to VMware vCloud Director and an OpenStack Do-It-Yourself (DIY) strategy.
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Cisco
Published By: Cisco     Published Date: Jan 05, 2016
Beginning with a brief overview of private cloud computing and the evolution of on-premises private clouds, we will compare Cisco Metapod to options from VMware and the OpenStack community. We’ll also describe Cisco’s unique OpenStack as a Service (OaaS) operating model, and present Total Cost of Ownership (TCO) analyses that compare Cisco Metapod to VMware vCloud Director and an OpenStack Do-It-Yourself (DIY) strategy.
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Cisco
Published By: Cisco     Published Date: Apr 15, 2016
Beginning with a brief overview of private cloud computing and the evolution of on-premises private clouds, we will compare Cisco Metapod to options from VMware and the OpenStack community. We’ll also describe Cisco’s unique OpenStack as a Service (OaaS) operating model, and present Total Cost of Ownership (TCO) analyses that compare Cisco Metapod to VMware vCloud Director and an OpenStack Do-It-Yourself (DIY) strategy.
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cloud management, cloud services, cloud management, best practices, cloud computing
    
Cisco
Published By: Cisco     Published Date: Jul 11, 2016
Beginning with a brief overview of private cloud computing and the evolution of on-premises private clouds, we will compare Cisco Metapod to options from VMware and the OpenStack community. We’ll also describe Cisco’s unique OpenStack as a Service (OaaS) operating model, and present Total Cost of Ownership (TCO) analyses that compare Cisco Metapod to VMware vCloud Director and an OpenStack Do-It-Yourself (DIY) strategy.
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Cisco
Published By: Applix     Published Date: Mar 13, 2007
Financial and business managers today are seeking a higher level of analytical ability to manage business performance than ever before. But these kinds of analyses often lie beyond the reach of most of today's ERP systems.
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enterprise resource planning, erp, business analytics, analytical applications, sap, business management, applix
    
Applix
Published By: WorldTelemetry, Inc.     Published Date: Mar 26, 2007
Business Intelligence Software are applications that build on existing data warehouses and provide analytical processing tools that allow users to more effectively analyze such data. This, in turn, permits businesses to more rapidly develop existing and new analyses and reports for improved decision-making power and information dissemination capacity.
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analytical applications, business analytics, business metrics, business intelligence, enterprise software, bi software, world telemetry, worldtelemetry
    
WorldTelemetry, Inc.
Published By: Adobe     Published Date: Mar 11, 2013
In Forrester's 53-criteria evaluation of online testing platform vendors, we identified the seven most significant providers in the category and researched, analysed, and scored them.
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online testing platforms, multichannel marketing, customer experience management, customer experience, digital marketing
    
Adobe
Published By: Arbor     Published Date: Sep 15, 2014
Die Erhöhung von DDoS-Angriffen kurbelt die Nachfrage an umfassenden Lösungen an “This market engineering study comes at a time when DDoS attacks are accelerating in purpose, sophistication, complexity, scale, and frequency. Businesses of all size have proven to be susceptible to these attacks, and though DDoS is not a new concern, the risk of DDoS attack probability and potential for damages is at an all-time high. As a result, DDoS mitigation is a top-of-mind consideration for IT and security organizations around the world, and demand for DDoS mitigation solutions is growing rapidly.”
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market engineering, ddos attacks, it security
    
Arbor
Published By: Symantec     Published Date: Jul 29, 2014
This paper analyses the emerging trends, malicious code activity, phishing and spam to help present essential information to help you secure your systems.
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website security, website protection, website threats, symantec, norton
    
Symantec
Published By: Genesys     Published Date: Feb 08, 2019
Angesichts der zahlreichen Optionen, die der äußerst dynamische Markt für cloudbasierte Contact Center bietet, ist die Suche nach der richtigen Lösung für Ihr Unternehmen eine Herausforderung. Vergleichen Sie mithilfe der „Ovum-Entscheidungsmatrix für die Auswahl eines cloudbasierten Multichannel-Contact-Centers, 2017–18“ ganz einfach die führenden Anbieter von Contact-Center-Lösungen anhand ihrer Fähigkeit, umfassende Funktionen für das Routing von Anrufen und kanalübergreifenden Kundenservice in der Cloud bereitzustellen. Außerdem erfahren Sie, warum Genesys als „Leader“ eingestuft wurde, der Lösungen für Unternehmen jeder Größe und in allen Branchen weltweit bietet. In der Ovum-Entscheidungsmatrix finden Sie: eine Gegenüberstellung cloudbasierter Contact-Center-Lösungen basierend auf einer Bewertung ihrer Technologieplattformen einen Vergleich der Anbieter anhand ihrer Fähigkeit, kanalübergreifende Kundeninteraktionen zu unterstützen und mittels Analysen Verbindungen zwisch
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Genesys
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