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big data strategy

Results 1 - 25 of 36Sort Results By: Published Date | Title | Company Name
Published By: SAP     Published Date: May 18, 2014
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: Oracle     Published Date: Jan 08, 2018
In the age of the customer, businesses realize the need to take their big data insights further than they have before, in order to win, serve, and retain their customers. Today’s modern company has more data than ever before and is now looking to derive insights from the data that will help propel it forward. As firms move data analytics to the cloud, there is a new set of challenges and barriers to overcome, but with the help of insights-platforms-as-a-service, companies will be able to innovate with data and drive business forward.
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Oracle
Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper to learn how Dell can help you realize the full value of your big data strategy—and to capitalize on all of your data, from enterprise systems to social media and the Internet of things.
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Dell EMC
Published By: IBM APAC     Published Date: Jul 09, 2017
In a recent report, Aberdeen's research suggests that Hadoop usage could be a catalyst for an enhanced and well-rounded data strategy. Read on to find out more.
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hadoop, big data, data strategy
    
IBM APAC
Published By: Riverbed     Published Date: Jul 17, 2013
Your business is complex. Big data promises to manage this to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, causing delays and downtime. Forrester predicts this will worsen. To combat this onslaught, you need machines to analyze conditions to invoke automated actions. To perform adaptive automation, you need IT analytics, a disruption to your monitoring and management strategy. This report helps leaders prepare for IT analytics that turn big data efforts inward to manage the technology services that run your business. Register to get the full report.
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analytics, big data, forrester
    
Riverbed
Published By: Micron     Published Date: Oct 14, 2016
While software is essential to any big data strategy, it is not enough. Organizations must transform their infrastructure based on innovation in storage and memory to align with the increased need for faster, real-time decisions. Download this white paper to learn more.
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Micron
Published By: EMC Corporation     Published Date: Jul 07, 2013
Businesses that exploit Big Data to improve strategy and execution are distancing themselves from competitors. The Big Data solution from EMC provides market-leading, scale-outing storage, a unified analytics platform, and business process and application development tools. Together, these allow organizations to draw deeper insights and become a more predictive organization.
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emc, big data, strategy improvement, market leader, scale-outing storage, analytics platform, technology, application development, networking
    
EMC Corporation
Published By: TIBCO     Published Date: Nov 11, 2013
In an IT landscape dominated by big data, mobility, social networking and cloud computing, integration will not only grow in importance, its very nature will change. This paper will discusses the 21st Century IT landscape as it relates to the new integration, and argues that the need for a comprehensive integration strategy has never been more urgent.
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tibco, mobile strategy, integration, technology, best practices, inefficient integration, platform, business strategy
    
TIBCO
Published By: IBM     Published Date: Oct 13, 2016
Use big data to build an integrated, more personalized approach to marketing, business strategy, customer service and more.
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ibm, analytics, data, mdm, ibm software, business strategy, customer service, enterprise applications
    
IBM
Published By: Juniper Networks     Published Date: Aug 08, 2017
Cloud, social, big data, and the Internet of Things (IoT) are increasingly central to business decisions as the pace of digitization accelerates. The impact of software-defined networking (SDN), virtualization, and converged and hyperconverged infrastructure within the datacenter is substantial. These technologies add complexity but offer enticing opportunities for new business models, revenue streams, operating efficiencies, and agility that organizations must pursue if they want to remain competitive and viable. This pursuit requires businesses to keep up with current and emerging technologies and applications and transform the ways in which they conduct business. At the core of "keeping up" is an organization's datacenter strategy — with an associated technology and services strategy that will either create industry laggards or accelerate innovators.
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Juniper Networks
Published By: TIBCO     Published Date: Apr 29, 2014
Learn about the new IT landscape as it relates to the new integration and see why the need for a comprehensive integration strategy has never been more urgent than now.
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mobile, social, cloud, big data, tibco, comprehensive integration strategy, networking, it management, enterprise applications
    
TIBCO
Published By: Workday UK     Published Date: Mar 07, 2018
As the finance function moves further into the digital era, one of the biggest questions CFOs are asking is, “Are we ready?” Technology advancements and the proliferation of data are dramatically reshaping the role of the finance function. As companies face increasing competition and ongoing change, they expect finance to leverage technology and turn data into insights they can use to guide strategy and support decision-making.
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Workday UK
Published By: BMC Software     Published Date: Oct 23, 2014
Rapid shifts in the ways that technology and information are consumed and delivered— through cloud computing, big data, social networking, and smart devices—are transforming how companies compete. IT is at the center of the fray, working with business leaders to develop and execute a digital transformation strategy that capitalizes on these major new technologies. In order to lead this transformation, IT executives must focus on three areas: collaborating with business leaders to build a strategic vision, modernizing technology infrastructure, and rebuilding IT organizations to execute against new digital business goals.
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saas, cloud, itsm, integrating itsm, itsm integration, saas integration, networking, it management, data center
    
BMC Software
Published By: Cisco     Published Date: May 15, 2015
Whitepaper focused on how leaning on bundled solutions and proven expertise can achieve big data success.
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big data, strategy, cisco, internet
    
Cisco
Published By: IBM     Published Date: Aug 08, 2014
As executives witness data’s proven impact on performance and innovation and recognize its strategic significance, they also realize the growing need for a leader whose primary role is to understand and advocate on behalf of data: The Chief Data Officer.
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big data, analytics, chief data officer, strategy, performance
    
IBM
Published By: SumTotal, a Skillsoft Company     Published Date: Aug 24, 2015
This paper examines how the role of the CIO has been evolving to meet today’s new world of IT.
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cio, influencer, skillsoft, changing technology, big data, business strategy
    
SumTotal, a Skillsoft Company
Published By: IBM     Published Date: Jan 06, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action?
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talent analytics, ibm, big data, strategy
    
IBM
Published By: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
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incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
    
Schneider Electric
Published By: IBM     Published Date: Feb 24, 2015
IBM offers a comprehensive solutions portfolio that helps insurance companies integrate big data and analytics capabilities into their telematics strategy. The portfolio incorporates dozens of new patented technologies developed by IBM Research and builds on IBM Watson Foundations.
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telematics, ibm, insurance, big data, comprehensive solutions
    
IBM
Published By: IBM     Published Date: May 28, 2014
The ability to keep pace with trends like big data, open data, sophisticated analytics, and the de-compartmentalization of data silos and processes, distinguishes leading master data management (MDM) solutions from their counterparts. IBM, one of the five vendors in this evaluation, is positioned as THE leader with the most prominent, widely implemented solution in the market.
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ibm, forrester, master data management, big data, database management technology, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, data persistence, virtualize data, lifecycle management, big data strategy, it management, data center
    
IBM
Published By: IBM     Published Date: May 28, 2014
Read the whitepaper to find out how one client improved business value of their data by implementing InfoSphere Optim processes and technologies.
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ibm, data lifecycle management, infosphere optim, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence, virtualize data, lifecycle management
    
IBM
Published By: IBM     Published Date: Apr 23, 2015
With IBM analytics for big data with a smart mobile strategy, banks can increase wallet share and assets under management while lowering the organization’s operating ratio by using more efficient channels.
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ibm, analytics, efficiencies, digital banking, management, strategy, data center
    
IBM
Published By: IBM     Published Date: Apr 09, 2015
This ebook outlines four steps to develop a proactive approach to data security and privacy that will help you keep big data safe, and shows how IBM InfoSphere solutions can help protect data while giving your staff the right levels of access to do their jobs efficiently and accurately.
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data security, ibm, ibm infosphere, privacy strategy, big data security, security, it management
    
IBM
Published By: IBM     Published Date: Jul 15, 2015
This ebook outlines four steps to develop a proactive approach to data security and privacy that will help you keep big data safe
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big data security, data privacy, data protection, sensitive data, data risk management, vulnerability management, ibm solutions, data breaches, compliance
    
IBM
Published By: IBM     Published Date: Oct 02, 2015
This ebook outlines four steps to develop a proactive approach to data security and privacy that will help you keep big data safe, and shows how IBM InfoSphere solutions can help protect data while giving your staff the right levels of access to do their jobs efficiently and accurately.
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ibm, big data, data security, privacy strategies, ibm infosphere, security, it management
    
IBM
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