big data analytics

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Published By: IBM     Published Date: Jul 31, 2015
In the rapidly changing market, CSPs need big data/analytics plans that focus on customer objectives, business operations and new revenue generation.
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ibm, telecom, csps, big data, analytics plans, business operations, revenue generation
    
IBM
Published By: IBM     Published Date: Jul 27, 2015
Communications service providers have much to gain from deploying big data analytics capabilities that enable smarter campaigns.
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ibm advanced analytics platform, big data analytics, communications service providers, analytics software, predictive analytics, analytics visualization, historical analysis
    
IBM
Published By: BMC Software     Published Date: Jul 22, 2015
In this white paper, you’ll discover an enterprise approach to Big Data that leverages workload automation to: - Integrate Hadoop workflows into your enterprise processes to deliver new applications faster - Resolve issues faster with predictive analytics, automated alerts, and early problem detection - Achieve compliance and governance adherence
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big data, business processes, enterprise systems, hadoop, compliance
    
BMC Software
Published By: IBM     Published Date: Jul 15, 2015
The Forrester Wave.
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big data, analytics solutions, evaluate, analytical data, strategy
    
IBM
Published By: Teradata     Published Date: Jul 15, 2015
This paper examines the value of big data applications as a means to ensure pervasive availability of big data analytics in the organization.
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analytics, big data, applications, lob
    
Teradata
Published By: IBM     Published Date: Jul 14, 2015
This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, data warehouse, data center, information governance, analytics, big data analytics, business management
    
IBM
Published By: Teradata     Published Date: Jul 07, 2015
As cyber security challenges continue to grow, new threats are expanding exponentially and with greater sophistication—rendering conventional cyber security defense tactics insufficient. Today’s cyber threats require predictive, multifaceted strategies for analyzing and gaining powerful insights into solutions for mitigating, and putting an end to, the havoc they wreak.
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Teradata
Published By: IBM     Published Date: Jul 07, 2015
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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the cloud, mobile, mobility, social, analytics, networks, enterprise network, big data, network infrastructure
    
IBM
Published By: IBM     Published Date: Jul 07, 2015
Learn about information integration and governance for data warehousing and big data and analytics.
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data warehouse, bad data, big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability
    
IBM
Published By: IBM     Published Date: Jul 01, 2015
This paper discusses why it is important for healthcare organizations to become data driven, gives examples of organizations that are already leveraging a wide range of big data.
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clinical analytics, enhanced data foundation, data-driven healthcare organization, integrated data sources, data lifecycle management, big data, healthcare analytics solutions
    
IBM
Published By: IBM     Published Date: Jul 01, 2015
This webcast talks about decentralizing the IoT by leveraging the “block chain”-- the technology platform underlying Bitcoin.
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internet of things, iot, cloud computing, data security, blockchain, big data, app infrastructure, data analytics
    
IBM
Published By: Intel     Published Date: Jun 22, 2015
Provides valuable information and practical steps for IT managers who want to plan and implement big data analytics initiatives.
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Intel
Published By: IBM     Published Date: Jun 16, 2015
An IBM white paper describing the infrastructure implications of today’s converging technology forces and the software defined, next-generation data center transformation vital to capitalizing on them.
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enterprise infrastructure, big data, mobility, data center, it infrastructure, it security technologies, virtualizing infrastructure, converging technologies, analytics
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
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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cloud computing, mobility, big data, business analytics, it security landscape, enterprise networks, cloud integration, virtualization
    
IBM
Published By: IBM     Published Date: May 22, 2015
This presentation will demonstrate that it is possible to turn the promise of Big Data into business value by applying predictive analytics to Big Data sources such as Hadoop, Cloudera, and BigInsights.
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big data, analytics, forecasting, data management, hadoop
    
IBM
Published By: IBM     Published Date: May 20, 2015
Join our IBM Big Data analytics experts at this webinar for a discussion of how the right analytical techniques can broaden the possibilities of your analytics infrastructure.
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big data, analytics, forecasting, data management
    
IBM
Published By: IBM     Published Date: May 19, 2015
Predictive analytics is within easy reach for all enterprises if they choose the right big data predictive analytics solution to meet their needs.
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predictive analytics, predictive analytics solutions, big data, enterprise. advanced analytics, application development
    
IBM
Published By: IBM     Published Date: May 12, 2015
In this guide, we explore the technological trends that are transforming the retail industry, across the areas of Big Data and Analytics, Cloud Computing, Mobile and Social Engagement, and Security
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retail industry, big data, analytics, cloud computing, mobile engagement, security
    
IBM
Published By: IBM     Published Date: May 12, 2015
This white paper describes a holistic approach to healthcare cybersecurity, which incorporates sophisticated big data analytics to help better protect and secure the vast array of data healthcare organizations maintain.
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healthcare, cybersecurity, big data, security
    
IBM
Published By: Oracle EPM     Published Date: May 11, 2015
Which EPM priorities are at the top of the Finance agenda? What are the most compelling developments in big data, analytics, mobile technology, and cloud computing that motivate Finance leaders to undertake new technology initiatives?
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epm, finance, technology, cloud computing, big data
    
Oracle EPM
Published By: IBM     Published Date: May 07, 2015
Learn IBM emerged as one of the three leaders after Forrester Research evaluated 13 big data predictive analytics solution vendors.
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analytics solution, predictive analytics, embed intelligence, forrester wave, application development
    
IBM
Published By: IBM     Published Date: Apr 29, 2015
IBM InfoSphere BigInsights for Hadoop enables organizations to efficiently manage and mine large volumes of diverse data for valuable insights. IBM builds on a 100% Apache Hadoop foundation with common tools such as spreadsheets, R analytics and SQL access for greater usability.
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bigsheets, data management, business intelligence, workload optimization, data, sql
    
IBM
Published By: IBM     Published Date: Apr 23, 2015
Banks face many challenges as they strive to return to pre-2008 profit margins including reduced interest rates, unstable financial markets, tighter regulations and lower performing assets. Fortunately, banks taking advantage of big data and analytics can generate new revenue streams. Watch this real-life example of how big data and analytics can improve the overall customer experience.
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ibm, big data, profit margins, regulations, analytics, customer experience, banking, bank, technology
    
IBM
Published By: SAS     Published Date: Apr 20, 2015
After interviewing more than 50 companies, Tom Davenport reveals the true value of big data at work.
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SAS
Published By: SAS     Published Date: Apr 16, 2015
We often hear about how the massive volumes of data the US government collects hold a treasure trove of answers to our most challenging questions – be it on population health, national security, education or how to recoup losses from tax fraud. If only the government could figure out how to make use of all that information. Texas is one example of a government that is using analytics to solve complex problems. As the case studies here demonstrate, agencies and academia in the Lone Star State are putting big data and analytics to work to eliminate waste, improve productivity and, in some cases, even enhance transparency.
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SAS
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