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Published By: IBM     Published Date: Oct 30, 2014
Filled with exotic terms like “Hadoop” and “Data Scientist”, Big Data, business intelligence and analytics have always been the domain of the biggest enterprises with huge teams to devote to analyzing data. But thanks to the latest technology advances businesses of almost any size can utilize tools to help inform every part of business decision-making. This SlashGuide looks at a recent Slashdot Pulse research study on BI/BA and discusses what’s really important when it comes to Big Data – and what businesses can do now to capitalize on the trend.
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business analytics, big data, bi/ba
    
IBM
Published By: IBM     Published Date: Apr 15, 2015
Technology Adoption Analyst whitepaper by Forrester. This IBM-commissioned profile of IT operations decision-makers at enterprise companies in the US, UK and Germany evaluates IT operations analytics adoption, benefits, and challenges based on Forrester’s own market data and a custom study of the same audience.
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ibm, it operations, decision makers, analytics, market analysis
    
IBM
Published By: IBM     Published Date: May 19, 2015
Traditionally, business intelligence (BI) has looked backward at what has happened. In today’s marketplace, enterprises need to look ahead. From predictive to prescriptive intelligence, TDWI and IBM look at what businesses need most.
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business intelligence, prescriptive intelligence, predictive analytics, immersive user experience, analytic technology, informative visualization
    
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: Jul 01, 2015
This white paper discusses how organizations can benefit from implementing collaboration and analytics processes in the three core areas
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healthcare analytics, analytics technology, quality assurance, wellness monitoring, performance analysis, patient self-management, information technology, quality and safety, care coordination, meaningful use, enterprise content management
    
IBM
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: Oct 06, 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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networks, ibm, redefining networks, cloud, analytics, mobile, social, security, big data, it security, data center, enterprise networks
    
IBM
Published By: IBM     Published Date: Oct 13, 2015
This IDC iView will share results of a recent IDC study and provide insights you can use to better understand how advanced analytics strategies can help you enhance the experience for your audience, grow your viewers and advertisers, and increase revenues.
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ibm, audience analytics, idc iview, research, strategy, technology
    
IBM
Published By: IBM     Published Date: Dec 10, 2015
Ovum has produced this Ovum Decision Matrix to identify how the leading customer analytics vendors stack up against each other in terms of their technology, execution of strategy, and market impact.
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IBM
Published By: IBM     Published Date: Jan 21, 2016
Take this assessment, designed specifically for communication service providers, to find out how effective your organization is at harnessing the power of big data and analytics to drive excellence across your organization.
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ibm, telecommunications, analytics, marketing, business technology, internet marketing, crm & customer care, telecom
    
IBM
Published By: IBM     Published Date: Feb 26, 2016
"71% of consumers do some digital research before buying an insurance policy, and 26% of those surveyed had purchased their policies online. Insurance companies are investing in interactive websites, mobile apps, and analytics software to help them optimize their processes, increase sales, improve customer service, and boost their financial standing. But is this enough to keep up? As technology continues to advance, leading insurance companies are already looking ahead to the next big advance that will transform the industry: cognitive computing."
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cognitive computing, analytics software, ibm, insurance, process automation
    
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: Mar 28, 2016
Nowadays, organizations need top-notch technologies to attract top talent, support their recruiters, and empower their organizations to grow. Thankfully, data analytics, open talent acquisition suites, talent communities, mobile optimization, and more are readily available and can enhance experiences for both candidates and recruiters while providing insight on HR for business leaders. But refreshing talent acquisition isn't just about technology; it's also about realigning its definition to the demands and expectations of the twenty-first century.
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ibm, recruiting, talent acquisition, talent acquisition technology
    
IBM
Published By: IBM     Published Date: Apr 14, 2016
Ovum has produced this Ovum Decision Matrix to identify how the leading customer analytics vendors stack up against each other in terms of their technology, execution of strategy, and market impact.
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ibm, ovum, ovum decision matrix, customer analytics solution, telcos, telecom
    
IBM
Published By: IBM     Published Date: Apr 15, 2016
This report examines the current state of self-service analytics across all industries and company sizes. It also highlights the technology decisions and analytical performance of organizations that reported high levels of self-service in their analytical use base.
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ibm, analytics, self-service analytics, business analytics, analytical performance
    
IBM
Published By: IBM     Published Date: Jul 12, 2016
As most companies now realize, analytics is increasingly more of an integral part of their day-to-day business operations. In a recent survey by a global research firm, 80% of CIOs stated that transition from backward-looking, passive analysis must shift to forward-looking predictive analytics. The challenge is that many analytic solutions are aligned to a specific platform, tied to inflexible programming models and requiring vast data movement. In this webcast, Forrester and experts from IBM will highlight how technology like Apache Spark on z/OS allows businesses to extract deep customer insight without the cost, latency and security risks of data movement throughout the enterprise.
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ibm, forrester, apache spark, spark technology, z systems
    
IBM
Published By: IBM     Published Date: Jul 20, 2016
Nowadays, organizations need top-notch technologies to attract top talent, support their recruiters, and empower their organizations to grow. Thankfully, data analytics, open talent acquisition suites, talent communities, mobile optimization, and more are readily available and can enhance experiences for both candidates and recruiters while providing insight on HR for business leaders. But refreshing talent acquisition isn't just about technology; it's also about realigning its definition to the demands and expectations of the twenty-first century.
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ibm, recruiting, talent acquisition, talent acquisition technology
    
IBM
Published By: IBM     Published Date: Aug 04, 2016
IMM is a full-service digital marketing agency that builds marketing programs that get smarter every day and increase in value over time. Following the concept of Ideas Made Measurable, IMM builds unique and custom results-based programs by leveraging a unique combination of people and technology. Read more to learn how IBM Analytics plays a role in IMM's success.
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ibm, imm, case study, analytics, big data, technology
    
IBM
Published By: IBM     Published Date: Aug 16, 2016
In this executive report, based on cumulative research over the past five years by the IBM Institute for Business Value we will explore how the emergence of digital technology, and the increasing willingness of consumers to use it, has disrupted the retail industry at virtually every level – from shoppers, to megastores, to digital to social media, and more. Further, we will provide recommendations that can enable retailers to position themselves to slice through this disruption and provide seamless, omnichannel customer experiences and conversations that can help build customer loyalty, create value and positively impact the bottom line.
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ibm, commerce, retail, customer analytics, ibm institute for business value, digital technology
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Nowadays, organizations need top-notch technologies to attract top talent, support their recruiters, and empower their organizations to grow. Thankfully, data analytics, open talent acquisition suites, talent communities, mobile optimization, and more are readily available and can enhance experiences for both candidates and recruiters while providing insight on HR for business leaders. But refreshing talent acquisition isn't just about technology; it's also about realigning its definition to the demands and expectations of the twenty-first century.
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ibm, recruiting, talent acquisition, talent acquisition technology
    
IBM
Published By: IBM     Published Date: Oct 26, 2016
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics.
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ibm, predictive analytics, analytics tools, advanced analytics
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
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predictive analytics, increase sales, customer retention, fraud management, consumer expectations
    
IBM
Published By: IBM     Published Date: Feb 27, 2017
Advancements in analytics have sparked renewed excitement in the consumer products (CP) industry. Maturing analytics capabilities are now delivering greater value across major CP functions including marketing, sales, merchandising, supply chain, and more. Thus helping CP companies become more consumer and customer focused in all aspects of their businesses. Read this research report conducted by 'Consumer Goods Technology' to understand how, next-gen analytics capabilities is key in unlocking a deeper understanding of customers, help create successful new products, foster brand advocates and optimize distribution channels and ultimately shape demand
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cgt, analytics, consumer goods, distribution channels, advanced analytics
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
There are myriad software products, from complete CRM platforms that offer analytics to standalone or add-on software products that focus solely on analytics. There are analytics apps that can be added to your existing CRM platform. Or there’s the option to outsource analytics to a growing number of service providers. “The technologies are changing rapidly. There are a zillion startups offering either new tools or technologies, so it is kind of hard to navigate,”Mike Gualtieri, an analystfor Forrester Research Inc. in Cambridge, Mass., said in a recent webcast on analytics. “There isn’t just one platform that you’re going to need. There’s a whole ecosystem of platforms.” Having the right people on staff who know how to use the technology is equally important, analysts say. Analytics aren’t just for statisticians anymore—they’re used by sales, marketing and customer service teams in daily decision making.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: IBM     Published Date: Jul 06, 2017
DB2 is a proven database for handling the most demanding transactional workloads. But the trend as of late is to enable relational databases to handle analytic queries more efficiently by adding an inmemory column store alongside to aggregate data and provide faster results. IBM's BLU Acceleration technology does exactly that. While BLU isn't brand new, the ability to spread the column store across a massively parallel processing (MPP) cluster of up to 1,000 nodes is a new addition to the technology. That, along with simpler monthly pricing options and integration with dashDB data warehousing in the cloud, makes DB2 for LUW, a very versatile database.
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memory analytics, database, efficiency, acceleration technology, aggregate data
    
IBM
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