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Published By: IBM     Published Date: Jan 13, 2017
As traditional network perimeters surrounding data centers dissolve, agencies face enormous difficulties fending off attacks using a patchwork of traditional security tools to protect classified or personally identifiable information (PII). Time and again, traditional security practices have proven porous and/or unsustainable. Read this i360Gov Book to understand the importance of: - Transforming federal fortifications into intelligence-driven defense - Intensifying focus on cyber intelligence -Needing a well trained cybersecurity force
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ibm, analytics, government, public sector, security, cyber threat, cyber threat analysis, risk
    
IBM
Published By: IBM     Published Date: May 22, 2017
Only a handful of industries have been transformed by the digital age the way banking has. Internet and mobile banking, digital wallets, and a raft of new and innovative products have redefined “the bank” from a local, brick-and-mortar branch to an anytime-anywhere process. The new banking environment has opened opportunities for national, regional, and community banks alike, which are no longer constrained to serve only customers located in the areas where they maintain a physical branch presence. But it has also brought challenges associated with collecting, processing, analyzing, storing, and protecting vast amounts of new data, from multiple locations and sources.
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cloud privacy, cloud security, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
IBM
Published By: IBM     Published Date: Aug 30, 2017
DevOps (short for development and operations), like most new approaches, is only a buzzword for many people. Everyone talks about it, but not everyone knows what it is. In broad terms, DevOps is an approach based on lean and agile principles in which business owners and the development, operations, and quality assurance departments collaborate to deliver software in a continuous manner that enables the business to more quickly seize market opportunities and reduce the time to include customer feedback. Indeed, enterprise applications are so diverse and composed of multiple technologies, databases, end-user devices, and so on, that only a DevOps approach will be successful when dealing with these complexities. Opinions differ on how to use it, however. Some people say that DevOps is for practitioners only; others say that it revolves around the cloud. IBM takes a broad and holistic view and sees DevOps as a business-driven software delivery approach  — an approach that takes a new or en
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devops, ibm, quality assurance, end-user devices, customer engagement
    
IBM
Published By: IBM     Published Date: Oct 17, 2017
The data quality tools market continues to show strong revenue growth, driven by cost, process optimization and digital business initiatives. Applying data quality tools to existing and emerging business scenarios will enable data and analytics leaders to deliver greater business value.
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IBM
Published By: IBM     Published Date: Nov 03, 2017
Massive shifts within the digital business landscape are sparking immense opportunities and reshaping every sector. In some cases, complete upheaval is happening at lightning-fast speed. In other instances, digital undercurrents are stirring beneath the surface as organizations scramble to monetize vast volumes and variety of data in an effort to sharpen their competitive edge and not be blindsided by unforeseen events that completely upend existing business models. While long-standing industry leadership might be no match for the next cool app, agility, speed and the ability to harness more data than was ever imagined is fueling powerful possibilities for reinvention among companies of every size. Data is following rapidly from mobile devices and social networks, as well as from every connected product, machine and infrastructure. This data holds the potential for deep insights that can replace guesswork and approximations as to locations, behaviors, patterns and preferences. As the w
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digital business, data, data-driven enterprise, innovation, ibm
    
IBM
Published By: Datastax     Published Date: Aug 23, 2017
Kenzan, a software engineering firm that specializes in building scalable, data-driven solutions, often leverages DataStax Enterprise (DSE) for customers that have high expectations for both performance and value. That means making careful, informed choices when designing the cloud infrastructure that applications run on. Controlling costs is always a priority for businesses that rely on AWS for running DSE. With AWS, it can be tempting to solve performance issues simply by adding more resources until the problem goes away. However, this “solution” results in increased costs which quickly add up over time. In this white paper, Kenzan and DataStax identify some of the key factors to consider when building out infrastructure on AWS, outlining practical steps you can take to optimize performance with DSE on AWS while keeping costs in check.
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enterprise, benchmarking, data
    
Datastax
Published By: Datastax     Published Date: Aug 23, 2017
A holistic approach to using customer data to enable data-driven decisions for attracting, retaining, and delivering value through customer experience is what is going to drive many business initiatives over the next 12-month period. Though they each have varying degrees of capability to transform their customer experience applications and remain continuously available no matter what is critical to their success. Companies surveyed are eager to deliver a great customer experience and capture market share, but many CX journeys are hindered by business unit siloes, insufficient budget, and technical challenges. The responses provide key insights into the business priorities, challenges, and data technology needs of companies embarking on or in the midst of their CX journey.
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datastax, customer data
    
Datastax
Published By: Oracle     Published Date: Sep 21, 2018
In a connected world content becomes the nucleus of business growth. Oracle provides scalable, secure solutions to help drive an organization’s digitalization efforts maximizing operation automation, machine learning, and cloud services.
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Oracle
Published By: TrendKite     Published Date: Apr 25, 2018
In the digital age, the internet brings a lot of fantastic things to the PR profession, opening new mediums, offering data-driven insights, and allowing new opportunities. But on the other side, it also brings challenges in the overwhelming speed at which news spreads. With endless examples of poorly handled situations, PR knows in this digital age, there is no hiding a burgeoning crisis. So when discussing PR crises and preparedness, make sure to reframe your thinking for today’s world: are you prepared for a digital crisis in a digital age?
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communications, trendkite, public relations
    
TrendKite
Published By: TrendKite     Published Date: Apr 25, 2018
Today’s marketers are leveraging technology and data to drive decision making: demand gen, marketing communications, and other disciplines can strongly demonstrate their value with metrics that summarize tangible bottomline impact on the business. That hasn’t been true for PR. In PR, we’re still tied to legacy metrics that are more about counting mentions and ‘clips’ than about measuring business impact.
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public relations, marketing, martech, pr strategy
    
TrendKite
Published By: Selligent Marketing Cloud     Published Date: Mar 07, 2018
Context can make or break the communication – and, ultimately, the relationship – between a consumer and a brand. Today’s consumers expect relevant communications that speak directly to their needs in the moment. We have the technology today to deliver such messages – but there are significant barriers to developing relevant, contextual programs of this kind. Some of the development challenges represent new versions of old challenges. Take data as an example: it has always been hard to harness data from different sources and to leverage insights in real time. But today, there are additional opportunities – if not expectations – for marketers to use contextual data to better reach and engage customers through the optimal channel(s).
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data driven marketing, contextual marketing, cmo, omnichannel, multichannel, automation, loyalty, crm, marketing, personlisation, campaign management, customer marketing, retention marketing, marketing cloud, marketing solution, marketing platform, artificial intelligence, prediction learning, product recommendation
    
Selligent Marketing Cloud
Published By: Sage     Published Date: May 18, 2018
In some kinds of more traditional businesses the finance department tends to swallow as much data as is thrown at it but only outputs small, measured and curated amounts of insights periodically: “Here’s revenue vs target in the last quarter”. These are undoubtedly essential for proper business management, But periodic reports also mean it can be too late for the business to respond. It’s like driving by looking only in the rear-view mirror. Looking at what’s behind isn’t going to let you spot a sudden bend in the road! Essentially, the highly competitive and evolved business environment of today requires businesses to have proactive, indicative business metrics. Combined with more traditional metrics, these mean businesses have invaluable and complete insight in order to evaluate performance. Proactive, indicative business metrics are found across most successful businesses–and especially amongst C-suite employees. These people know that the benefits are proven. Analytics-driven execu
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Sage
Published By: Oracle OMC     Published Date: Nov 30, 2017
Executing a data-driven digital advertising campaign, with a clear understanding of your target, provides you with marketing that is accountable based on revenue. And this data-driven approach is better for your prospects and customers due to relevance. Relationships thrive when you’re communicating in context on a oneto- one basis. Marketing has the opportunity to reinvent itself as a core part of a company’s revenue engine.
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Oracle OMC
Published By: Oracle OMC     Published Date: Nov 30, 2017
In today's marketing environment, how are CMO's using data to be more effective? CMOs weigh in on their top challenges and opportunities surrounding data driven marketing, revealing a clear emphasis on the need to demonstrate ROI, use testing to optimize efforts, and increase personalization in marketing activities.
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Oracle OMC
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Is data changing the way you do business?Is it inventory sitting in your warehouse? The good news is data-driven applications enhance online customer experiences, leading to higher customer satisfaction and retention, and increased purchasing.
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it planning, data, data-driven applications, data challenges, data solutions, big data solutions, big data challenges, in-memory databases, web-abpplications, in-memory data grid, nosql, storage nodes, e-commerce applications, social applications, logisitcs applications, trading applications, data scaling, rest, memcached, hot rod
    
Red Hat, Inc.
Published By: GoodData     Published Date: Oct 14, 2013
See GoodData's 5 steps to
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gooddata, big data, institutionalizing big data, data-driven, data plaform
    
GoodData
Published By: NetApp     Published Date: Dec 15, 2014
Organizations today are increasingly information-driven, requiring them to create, organize, and store more data every day. To handle the conversion of “data to information”, you need an agile and scalable infrastructure which will provide the backbone to run multiple business-critical workloads simultaneously. This IDC white paper examines the need for the NetApp FAS8080EX hardware-optimized platform to help organizations transform into data-driven entities, adopt newer technologies, and invest in business-critical applications to stay ahead of their competition.
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information-driven, data, scalable infrastructure, hardware-optimized platform
    
NetApp
Published By: ADP     Published Date: Nov 16, 2017
People are the most important part of your organization. Understanding what they do, how they do it, and even why they do it, provides invaluable insights for optimizing your processes, department, or entire organization. And as a business leader, in many ways you’ve never had it so good. There’s more people data available than ever before, and you’ve got the opportunity to put it to work through data-driven initiatives like changes to workforce demographics, employee retention, or benefits allocations. And most important, you have a chance to fuel business decision-making with smart workforce insights. Once you’ve learned how to turn your people data into real business value, you’ll create more visibility within your business, and everyone will see that the rewards of HR analytics are worth the effort. It’s time to take the opportunity to prove the value of data-driven HR. No more darkness. Otherwise, the only journey ahead is into some challenging pitfalls. We’ve identified five of t
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ADP
Published By: MarkLogic     Published Date: May 07, 2018
Learn how Life Sciences organizations can accelerate Real World Evidence by achieving faster time to insight with a metadata-driven, semantically enriched operational platform. Real World Evidence (RWE) is today’s big data challenge in Life Sciences. Medical records, registries, consultation reports, insurance claims, pharmacy data, social media, and patient surveys all contain valuable insights that Life Sciences organizations need to ascertain and prove the safety, efficacy, and value of their drugs and medical devices. Learn how Life Sciences organizations can accelerate RWE with a metadata-driven, semantically enriched operational platform that enables them to: • Unify, harmonize and ensure governance of information from diverse data sources • Transform information into evidence that proves product efficacy and safety • Identify data patterns, connections, and relationships for faster time to insight
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data, integration, drug, device, manufacture, science
    
MarkLogic
Published By: Oracle     Published Date: Jan 28, 2015
Traditional brick-and-mortar multi-channel retailers have online competitors ruled by data scientists who define retail as a data mining and optimization problem. John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail discusses the science of pricing, and predictions for the role of science in retail over the next five years.
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Oracle
Published By: Teradata     Published Date: Feb 04, 2015
Get the Inside Scoop on Data-Driven Marketing from 1,500 Global Marketers Explore the State of Data-Driven Marketing and the Power of Individualized Insights Our 2015 global marketing study examines the current state of data-driven marketing and how it affects the customer experience. To determine where you fall on the data-driven continuum – and to find out how to create more compelling customer interactions – download the Teradata 2015 Global Data-Driven Marketing Survey.
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teradata, global, trends, marketing, data, insights, campaign, segmentation, personalization, real-time, digital, integrated, 2015, omni-channel, cooperation, retention, acquire, roi, traditional marketing
    
Teradata
Published By: NetApp     Published Date: Mar 05, 2018
Access to comprehensive, up-to-date information about your infrastructure is critical to meeting the challenges of a service-led IT organization. You need visibility into your entire IT infrastructure, including both multi-vendor and multi-cloud environments, so you can make data-driven decisions and improve IT services. Discover how you can manage, monitor, and report on IT services across your entire data infrastructure so you can drive intelligent business decisions and reduce costs.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: NetApp     Published Date: Mar 06, 2018
Read the Industry Update from Evaluator Group to learn what a transforming NetApp means not just for NetApp, but for a data-driven world.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: Gild     Published Date: Jun 10, 2015
How Red Hat's talent acquisition team leverages new high-tech tools to identify highly skilled global candidates.
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data-driven alternative sourcing, talent acquisition, high-tech talent, social sourcing, skilled talent
    
Gild
Published By: Amazon Web Services     Published Date: Mar 22, 2018
Healthcare and Life Sciences organizations are adopting cloud-based workloads at a significant pace. A 2017 HIMSS study found that 65% of Healthcare organizations were using cloud-based services, and nearly 88% of those organizations were utilizing Software-as-a-Service (SaaS) solutions, which have become the preferred deployment method for many clinical application vendors. This eBook highlights advantages of using AWS to create and maintain cloudbased Next-Gen BI Solutions for Healthcare and Life Sciences organizations. This includes use cases from diverse organizations that have utilized AWS and APN Partners to manage and analyze data, and to discover insights otherwise obscured by the sheer volume of available information. Solutions from APN Partners can help your organization take the next step in building robust processes for making data-driven decisions that improve patient care, organizational processes, and innovative product development efforts.
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Amazon Web Services
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