ibm analytics

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Published By: IBM     Published Date: Nov 16, 2015
As vendors continue to evolve their solutions to fit these changing requirements, IBM remains a leader in this Gartner Magic Quadrant.
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ibm, data warehouse, data management, analytics, gartner
    
IBM
Published By: IBM     Published Date: Nov 16, 2015
The market offers an array of choices to organizations planning new data warehouses to manage large and varied data sets. Most vendors emphasize the speed of their products, but few address the real need: to increase speed efficiently, which reduces complexity and cost by simplifying data warehousing.
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ibm, organization, puredata, analytics, research, data warehouse
    
IBM
Published By: IBM     Published Date: Jan 04, 2016
Join Steve Mirman, IBM MobileFirst solution architect, for this deep-dive intro into how you can speed development, simplify deployment and actively manage all of your mobile apps with a single, analytics-based console using our Platform in the cloud.
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ibm, mobile, application, development, mobilefirst platform
    
IBM
Published By: IBM     Published Date: Jan 04, 2016
This 30-minute webcast is about analytics because without end-to-end analytics, organizations have little to no insight into what’s really happening with their mobile apps.
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ibm, mobile, application, development, mobile apps, analytics
    
IBM
Published By: IBM     Published Date: Feb 03, 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.
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ibm, data management, apache, hadoop, analytics
    
IBM
Published By: IBM     Published Date: Feb 03, 2016
The more real-time and granular your data is, the more responsive and competitive your organization can become.
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ibm, data management, apache, hadoop, analytics
    
IBM
Published By: IBM     Published Date: Feb 04, 2016
Amy McCormick, offering and product manager at IBM, discusses IBM in Healthcare, the value of integration, IBM Healthcare integration, and client successes as well as integration use cases.
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ibm, integration bus, cloud, analytics, mobile, it systems
    
IBM
Published By: IBM     Published Date: Feb 04, 2016
Sargam Singh, senior product manager of cloud integration at IBM, discusses the digital transformation in cloud integration.
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cloud, ibm, integration, digital, analytics, data, applications
    
IBM
Published By: IBM     Published Date: Feb 04, 2016
IBM Operational Decision Manager Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
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analytics, ibm, operational decision manager, operations, brand, data, big data, trends
    
IBM
Published By: IBM     Published Date: Feb 04, 2016
Carla Wolffe, senior business analyst at Elevations Credit Union, discusses how Elevations Credit Union has transformed their organizational performance, reducing the average time to fund a home equity loan by 61% and increasing the number of loans each underwriter handles by 71%. By modelling, analyzing, and improving their existing processes, Elevation has been able to drive out their inefficiencies and increase their revenues by delighting their customers. IBM Blueworks Live is the tool at the heart of this transformation. Come find out more on how IBM Blueworks Live can help your business.
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ibm, blueworks, live, analytics, data, organization, efficiency, inefficiencies
    
IBM
Published By: IBM     Published Date: Feb 26, 2016
With Watson Explorer, you can keep enterprise search as the foundation and transform search into Cognitive Exploration. Leveraging technological advances such as deep search and exploration, advanced content analytics, and cognitive capabilities, IBM Watson Explorer provides a unified view of the information you need, combining data from multiple internal silos and a variety of outside datasets including social media. Stop limiting your search to traditional data sources in the new, non-traditional data world.
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watson explorer, ibm, deep search, content analytics, enterprise software
    
IBM
Published By: IBM     Published Date: Feb 26, 2016
Welcome to “How to put IBM Watson to work for powerful information access and insights,” where we’ll show you how Watson and its Watson Explorer application can get down to business and help your organization be more effective, more productive, and make better-informed decisions.
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ibm, watson explorer, analytics, data, enterprise software
    
IBM
Published By: IBM     Published Date: Feb 26, 2016
Modern organizations often have huge stores of data, which can make it difficult for employees to find the information they need when they need it. In response, innovative enterprises are creating unified information applications based on cognitive computing technology in order to put invaluable information at workers' fingertips.
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ibm, information applications, analytics, data, enterprise software
    
IBM
Published By: IBM     Published Date: Feb 29, 2016
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
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ibm, network, cloud, analytics, mobile, social, big data, it security
    
IBM
Published By: IBM     Published Date: Feb 29, 2016
Users expect quick, consistent access to their business-critical data and applications around the clock. That’s why outages, whether they are planned or unplanned, can negatively affect revenue, consumer trust and your reputation.
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ibm, technology, always on, cloud, analytics, outages, always on
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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ibm, mdm, big data, data management, data matching, customer analytics
    
IBM
Published By: IBM     Published Date: Jun 07, 2016
In a multi-database world, startups and enterprises are embracing a wide variety of tools to build sophisticated and scalable applications. IBM Compose Enterprise delivers a fully managed cloud data platform so you can run MongoDB, Redis, Elasticsearch, PostgreSQL, RethinkDB, RabbitMQ and etcd in dedicated data clusters.
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ibm, analytics, database, ibm compose enterprise
    
IBM
Published By: IBM     Published Date: Jun 07, 2016
The database you pick for your next application matters now more than ever. It can be difficult, and oftentimes impossible, to quickly join today's data into the relational model. Learn how a NoSQL database can act as a viable alternative to or compliment an existing relational database.
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ibm, nosql database, database, analytics
    
IBM
Published By: IBM     Published Date: Jul 07, 2016
Join IBM Mobile Analytics expert, Michael Darden, to see how the analytics capabilities of IBM MobileFirst Platform can enable you to answer three critical questions about your apps and then take immediate action to correct any value-draining issues … faster than your clients can take matters into their own hands.
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ibm, mobile, mobile applications, app development
    
IBM
Published By: IBM     Published Date: Jul 08, 2016
Forrester Consulting study that explores the hypothesis that modern businesses require enterprise content management (ECM) platforms that can offer faster deployment capabilities and operational flexibility in order to meet their shifting business objectives.
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ibm, analytics, forrester, ecm, ecm platforms, enterprise content management
    
IBM
Published By: IBM     Published Date: Jul 08, 2016
This analyst thought leadership report by TEC discusses the need for organizations to adopt modern ECM tools. Learn how IBM ECM with Box integrations can help establish easy and secure information access, sharing and collaboration to your digital business strategy.
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ibm, analytics, tec, ecm, ecm platforms, enterprise content management, box integration
    
IBM
Published By: IBM     Published Date: Jul 08, 2016
This ebook takes you on a journey to discover a cloud-based content management solution that provides greater visibility and collaborative control over business content. Meet Mike, an IT Solutions Executive, looking for an innovative way to collaborate that's secure, easy to use, immediate and accessible -- all while meeting strict governance policies.
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ibm, analytics, ecm, ecm platforms, enterprise content management, box integration, cloud management
    
IBM
Published By: IBM     Published Date: Jul 12, 2016
Join IBM and partner Zementis in this webcast to hear how Predictive Model Markup Language (PMML), an industry standard, is helping solve business obstacles and enabling users to: - Drive timely and relevant insights via in-line predictive analytics - Score thousands of data records per second, scaling with business needs to enable instantaneous decisions - Improve performance and cost efficiency by reducing or eliminating movement data off-platform to conduct analysis
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ibm, z systems, predictive analytics, analytics tools, zementis, predictive model markup language, pmml
    
IBM
Published By: IBM     Published Date: Jul 12, 2016
Join us for a complimentary webinar with Mark Simmonds, IBM big data IT Architect who will talk with leading analyst Mike Ferguson of Intelligent Business Strategies about the current fraud landscape. They will discuss the business impact of fraud, how to develop a fraud-protection strategy and how IBM z Systems analytics solutions and predictive models can dramatically reduce your risk exposure and loss from fraud.
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ibm, z systems, fraud loss reduction, fraud management, fraud prevention, fraud analytics, roi
    
IBM
Published By: IBM     Published Date: Jul 18, 2016
In this report, you will be able to answer the following: - What’s the value of a managed service & why should developers care about it? - Why is a managed service preferred over DIY management? - How does a managed service give you back hours in your day?
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ibm, analytics, dbaas, database as a service, developers, applications
    
IBM
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