data research

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Published By: IBM     Published Date: Jul 22, 2016
"Increasingly, brands are looking to differentiate based on an exceptional customer experience. The key to improving the customer experience is being able to effectively measure what’s working and what you need to improve. IBM host a webinar presenting tips on how to measure the customer experience for your brand and how to use that data to build better journeys. Please join IBM and guest speaker Andrew Hogan from Forrester Research as we share tips on how to best measure the digital experiences customers have with your brand and how to use that information to build better journeys. The webinar will provide attendees with: • Best practices to measure the quality of digital customer experiences • Guidance on the kinds of tools to use to capture the right CX metrics • Tips for integrating metrics, including the role of customer journeys • Techniques to drive action and improve digital experiences"
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ibm, commerce, customer analytics, marketing, customer experience, customer insight, forrester, digital experience
    
IBM
Published By: Group M_IBM Q2'19     Published Date: May 23, 2019
Defense and intelligence agencies want to leverage the data they collect so they can use artificial intelligence to enhance readiness – but most who run these programs don’t know how to get started and find it difficult to make the business case to their leadership. In this research report, created by GovLoop in partnership with IBM, which provides innovative technology solutions for national security and military intelligence, you’re going to learn where your peers stand—and some practical tips on how to get started—even if you think your data is “dirty” or not ready for advanced applications.
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Group M_IBM Q2'19
Published By: IBM     Published Date: Feb 05, 2015
This new research — based on data collected in May 2013 from 29 organizations using visual data discovery and 95 that were not — reinforces those findings. In addition, Aberdeen's research demonstrates that visual data discovery can help to usher in a different approach to analytics, an approach that is far more user driven.
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advanced analytics, visual data discovery, managed reporting, data discovery tools
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
Begin your journey toward becoming a cognitive enterprise and start gaining unprecedented value from your own data. Watson Explorer reduces unnecessary research time and allows enterprises to work smarter and faster. Read this brochure to learn how Watson Explorer combines content and data with cognitive computing capabilities to help your organization work more efficiently and make better decisions.
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ibm, watson, software, explorer, applications, developer, cloud
    
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: Jul 19, 2016
Data movement and management is a major pain point for organizations operating HPC environments. Whether you are deploying a single cluster, or managing a diverse research facility, you should be taking a data centric approach. As data volumes grow and the cost of compute drops, managing data consumes more of the HPC budget and computational time. The need for Data Centric HPC architectures grows dramatically as research teams pool their resources to purchase more resources and improve overall utilization. Learn more in this white paper about the key considerations when expanding from traditional compute-centric to data-centric HPC.
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ibm, analytics, hpc, big data
    
IBM
Published By: IBM     Published Date: Sep 30, 2016
Data is the lifeblood of today’s digital businesses; protecting it from theft, misuse, and abuse is the top responsibility of every S&R leader. Hacked customer data can erase millions in profits, stolen IP can destroy competitive advantage, and unnecessary privacy abuses can bring unwanted scrutiny and fines from regulators while damaging reputations. S&R pros must take a data-centric approach that ensures security travels with the data regardless of user population, location, or even hosting model; position data security and privacy capabilities as competitive differentiators; and build a new kind of customer relationship.
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ibm, security, data, privacy, forrester, forrester research
    
IBM
Published By: Intel     Published Date: Apr 16, 2012
Get help evaluating your next purchases and accelerate the business value of IT as your datacenter continues to evolve. Download this Technical Adoption Profile on How Blade Servers Impact Datacenter Management and Agility from Forrester Research.
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cloud, cloud computing, myths, infrastructure, services, it executives, data, intel, hybrid cloud
    
Intel
Published By: Cisco     Published Date: Jul 11, 2016
Operational efficiency and cost savings. Datadriven business insights. Organizational agility and market differentiation. Enterprises in every industry are pursuing such gains, but they cannot be achieved with a fragmented, siloed technology infrastructure. Technological integration doesn’t happen overnight, of course. It takes years of behind-the-scenes teamwork and engineering—backed by decades of expertise, research, and development—to have a broad and lasting impact. This special edition of Unleashing IT highlights the fruits of those labors, showcasing the unparalleled alignment of Microsoft, Cisco, and Intel technologies. In the following pages, you’ll read about the advancement and unique value of integrated solutions, spanning cloud environments, data centers, and management tools. You’ll also hear from organizations that are aking advantage of these converged technologies, including King County, Provincia Net, and Swinburne University.
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Cisco
Published By: Cisco     Published Date: Jul 11, 2016
Digitization is reshaping the business landscape at an unprecedented rate. The disruption of established businesses used to take decades, but natively digital organizations such as Uber, Google and Amazon have disrupted their respective markets in fewer than 10 years. Digital transformation is creating new winners and losers faster than ever before. Exhibit 1 shows that in 1960, on average, businesses remained on the S&P 500 Index for 50 to 60 years; by 1980, the rate of change was cut in half. Based on these trends, by 2025, businesses are forecast to stay on the index for an average of only 12 years. Leveraging this economic data, ZK Research predicts that 75% of the index will turn over in the next 10 years. New market leaders will emerge, and established organizations will struggle to survive.
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Cisco
Published By: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
IBM Security and Ponemon Institute are pleased to release the 2017 Cost of Data Breach Study: Global Overview. According to our research, the average total cost of data breach for the 419 companies participating in this research decreased from $4.00 to $3.62 million The average cost for each lost or stolen record containing sensitive and confidential information also significantly decreased from $158 in 2016 to $141 in this year’s study. However, despite the decline in the overall cost, companies in this year’s study are having larger breaches. The average size of the data breaches in this research increased 1.8 percent
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data breach, security, research study, data trends
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
IBM Security and Ponemon Institute are pleased to present the 2017 Cost of Data Breach Study: United States, our 12th annual benchmark study on the cost of data breach incidents for companies located in the United States. The average cost for each lost or stolen record containing sensitive and confidential information increased from $221 to $225. The average total cost experienced by organizations over the past year increased from $7.01 million to $7.35 million. To date, 572 U.S. organizations have participated in the benchmarking process since the inception of this research.
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data breach, data protection, trends, research study, information protection
    
IBM
Published By: IBM     Published Date: Oct 13, 2017
IBM Security offers one of the most advanced and integrated portfolios of enterprise security products and services. The portfolio, supported by world-renowned X-Force research, provides security intelligence to help organizations holistically protect their infrastructures, data and applications, offering solutions for identity and access management, database security, application development, risk management, endpoint management, network security and more. These solutions enable organizations to effectively manage risk and implement integrated security for mobile, cloud, social media and other enterprise business architectures. IBM operates one of the world’s broadest security research, development and delivery organizations, monitors 15 billion security events per day in more than 130 countries, and holds more than 3,000 security patents.
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it security, malware, malware protection, virus prevention, ibm, threat intelligence
    
IBM
Published By: SAS     Published Date: Aug 28, 2018
With the widespread adoption of predictive analytics, organizations have a number of solutions at their fingertips. From machine learning capabilities to open platform architectures, the resources available to innovate with growing amounts of data are vast. In this TDWI Navigator Report for Predictive Analytics, researcher Fern Halper outlines market opportunities, challenges, forces, status and landscape to help organizations adopt technology for managing and using their data. As highlighted in this report, TDWI shares some key differentiators for SAS, including the breadth and depth of functionality when it comes to advanced analytics that supports multiple personas including executives, IT, data scientists and developers.
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SAS
Published By: Esker     Published Date: Jan 08, 2019
AP Data You Should Leverage Positively impact your organization What's in the research report? Access to accurate, real-time data is more important than ever in today’s fast-paced business world — particularly in a department as important as AP. But what data should you be analyzing to improve performance and make the biggest impact? This research report details KPIs that provide valuable insights to stakeholders and key executives, based on three categories: • Operational: track overall efficiency • Financial: impact the bottom line • Supplier: related to suppliers
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Esker
Published By: IBM     Published Date: Oct 10, 2013
The necessity of building a disaster recovery model to ensure that services can be delivered nonstop with minimal data loss is not easy or inexpensive. Read this research report to learn how the cloud offers companies an alternative, allowing for rapid recovery and minimal data loss, and without the high costs.
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forrester, analyst report, cloud-based, disaster recovery, barriers and drivers, recovery barriers, recovery drivers, enterprise, disaster in enterprise, cloud-based disaster, recovery model, alternatives, rapid recovery, minimal data loss, prevent high cost
    
IBM
Published By: IBM     Published Date: Oct 10, 2013
To better understand the value that firms are deriving from Unified Communications (UC), the status of its adoption, and the barriers to full implementation, IBM engaged Forrester Consulting to survey network and telecom buyers and reflect upon existing research. Data from this survey, combined with existing research and insights, yields a picture of UC deployment and decision-making in enterprises.
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mobility, business outcomes, unified communications, business communications, ibm, uc deployment, enterprises, research and insight, decision-making, forrester consulting, understanding value, business values, firm goals, telecom buyers, implementation, valued data
    
IBM
Published By: IBM     Published Date: Jan 09, 2014
How can your midsize business meet new demands for data storage with limited resources? In this eguide, you’ll find out that this innovative solution can radically improve storage performance—while minimizing expenses
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ibm, storwize eguide, data storage, modern technology, virtual storage, gartner research, innovative data, storage maintenance, storage device, data storage capacity, data center, environmental management, infrastructure, virtual machine, it operations, consolidate servers, virtualized environments, storage architect, databases application integration, real-time compression appliance
    
IBM
Published By: Altiscale     Published Date: Aug 25, 2015
Hype abounds about Big Data. And it's hard to know how to effectively exploit its potential. Learn how to separate fact from fiction in this new webinar + research note titled "Amazon EMR is Easy and 7 Other Myths." If you're considering launching a new Big Data initiative, or if you are currently struggling with Amazon EMR, view this 30 minute on-demand webinar + research note and dispel the most common untruths about Amazon EMR, as determined by leading Hadoop experts. Specifically, you'll learn: • The differences between Hadoop-as-a-Service and Amazon EMR • Why Hadoop on Amazon is not elastic • Why EMR is not a "plug-n-play" application • How costs get out of control with Amazon EMR
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amazon emr, big data, haddop
    
Altiscale
Published By: Basho     Published Date: Apr 07, 2015
bet365 is one of the world’s leading online gambling groups with over 14 million customers in two hundred countries. Recently, bet365 chose Riak, the NoSQL distributed database to ensure scalability and reliability for their site. Get a better understanding of how to choose the right database solution directly from Dan Macklin, Head of Research and Development at bet365. Join us for this On Demand webinar to learn about: • bet365's evaluation process • The business and technical challenges addressed • Triumphs achieved by migrating to Riak • Lessons learned and Dan Macklin's advice for anyyone evaluating their database requirements Download to watch this On-Demand webinar to learn why Riak chose bet365.
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basho, riak, database infrastructure, bet365, unstructured data
    
Basho
Published By: SurveyMonkey     Published Date: Aug 25, 2015
Learn how to use surveys to test marketing claims by taking the guesswork out of your big decisions.
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apple watch, key metrics, data research, marketing claims, testing surveys, framework testing, data insights, brand management, purchase intent, advertising, crm, market research, surveymonkey
    
SurveyMonkey
Published By: SurveyMonkey     Published Date: Aug 25, 2015
SurveyMonkey Audience fielded a Direct Mail Offer Test study on four direct mail pieces to demonstrate how to successfully test marketing offers.
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direct mail, surveymonkey, testing framework, test marketing, best practices, key performance metrics, testing surveys, crm, data insights, market research
    
SurveyMonkey
Published By: IBM     Published Date: Jul 07, 2014
Business analytics can empower your business managers to make more fact-based, data-driven decisions that improve operating results. Learn more in a report from Nucleus Research.
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ibm, profitability, analytics, big data, midmarket, midsize companies, data-driven decision making, predictive analytics, business intelligence, performance management
    
IBM
Published By: IBM     Published Date: Oct 06, 2014
Born from new advances in data processing from IBM Research, IBM® DB2® with BLU Acceleration is a leap forward in database technology that raises the bar for performance and value. BLU Acceleration uses patented technologies to deliver a unique combination of performance, ease of use and cost-efficiency—with 8 to 25 times faster reporting and analytics1 and cases of more than 1,000 times faster answers to queries.2 BLU Acceleration also complements in-memory Dynamic Cubes in IBM Cognos® Business Intelligence with 24 times faster query performance.
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data processing, blu accerleration, database technology, data analytics
    
IBM
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