insights

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Published By: IBM     Published Date: Oct 20, 2015
This analyst piece shows that to be able to take control and do effective planning, marketers need insights that can only be supplied by marketing analytics.
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ibm, marketing, analytics, planning
    
IBM
Published By: IBM     Published Date: Apr 05, 2016
It's no longer enough to be able to predict what might happen-organizations also need to know how to respond to predictive insights. This white paper describes how predictive analytics and decision optimization can work together to create a powerful end-to-end decision management system.
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ibm, business insight, business action, ibm decision optimization, ibm predictive analytics
    
IBM
Published By: IBM     Published Date: Apr 12, 2016
The digital transformation that organizations are striving for today requires a mindset of "no limits" in terms of securely exposing critical business assets for internal and external consumption. In order to be an agile, digital business, enterprises need to seamlessly connect across hybrid environments, applications, data and processes, keeping a keen eye on an open cloud strategy. They also need a secure integration framework to provide controlled access, a single dashboard providing performance insights, and easy access to digital assets for your developers. This webcast will explore all of these areas in depth, to support your enterprise's quest to become a next-generation digital business.
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ibm, digital business, api economy, api management, apim, api
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
The synergy between predictive analytics and decision optimization is critical to good decision making. Predictive analytics offers insights into likely future scenarios, and decision optimization prescribes best-action recommendations for how to respond to those scenarios given your business goals, business dynamics, and potential tradeoffs or consequences. Together, predictive analytics and decision optimization provide organizations with the ability to turn insight into action—and action into positive outcomes. In this white paper, you’ll gain a better understanding of: The difference between predictive and prescriptive analytics How predictive and prescriptive actions complement one another to help you achieve optimized business decisions IBM’s approach to creating a powerful end-to-end decision management system
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ibm, predictive analytics, decision optimization, synergy, decision making, business goals, prescriptive analytics, decision management
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
Many companies can't predict which customer they will retain or which customers will increase their spend. With predictive analytics they can. This knowledge brief from Aberdeeon Group highlights research findings that show organizations which apply predictive analytics are able to: Establish timely and accurate insights into customer behavior. Empower employees to do their jobs more effectively. Encourage more repeat business and higher wallet share
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predictive analytics, customer experience, customer relationships, customer retention, customer behavior, residual business
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
In this era of digital transformation, business and IT leaders across all industries are looking for ways to easily and cost-effectively unlock the value of enterprise data and use it to deliver new customer experiences while fueling business growth. The digital economy is changing the way organizations gather information, gain insights, reinvent their businesses and innovate both quickly and iteratively.
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IBM
Published By: IBM     Published Date: Jul 26, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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scalability, data warehousing, resource planning
    
IBM
Published By: Patsnap     Published Date: Jul 25, 2016
IP data can be used for a lot more than traditional patent searching. In this white paper we look at how the insights from IP can be used to identify and mitigate risks. And we used virtual reality as our guide.
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virtual reality, vr headset, oculus rift, head mounted display, immersive experience, microsoft
    
Patsnap
Published By: Patsnap     Published Date: Jul 25, 2016
IP data can be used to assess new markets - analysing the vendor landscape and providing insights into future innovation. Using the drones market as an example, we did just that.
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drones, drone, drone technology, unmanned aerial vehicles, commercial drones
    
Patsnap
Published By: WNS     Published Date: Jun 21, 2017
Making key decisions that improve business performance requires more than simple insights. It takes deep data discovery and a keen problem solving approach to think beyond the obvious. As a business leader, you ought to have access to information most relevant to you that helps you anticipate potential business headwinds and craft strategies which can turn challenges into opportunities finally leading to favorable business outcomes. WNS DecisionPoint , a one-of-its kind thought leadership platform tracks industry segments served by WNS and presents thought-provoking original perspectives based on rigorous data analysis and custom research studies. Coupling empirical data analysis with practical ideas around the application of analytics, disruptive technologies, next-gen customer experience, process transformation and business model innovation; we aim to arm you with decision support frameworks based on points of fact.
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cost of goods solid, warehousing and logistics, advertising and promotion, rent, electricity and utilities, floor staff, depreciation, system costs
    
WNS
Published By: Pure Storage     Published Date: Jan 12, 2018
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions. Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
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reporting, artificial intelligence, insights, organization, institution, recognition
    
Pure Storage
Published By: Pure Storage     Published Date: Jan 12, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
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data, deep learning, automated, intelligence, pure storage
    
Pure Storage
Published By: HP - Enterprise     Published Date: Jun 05, 2013
Traditional project management techniques are not working as well as expected. According to research, an average organization has at least $74 million USD (yearly) in at-risk projects. And, even when projects are executed successfully, all too often they still fail to deliver business benefits. So, how do you get started? How do you prioritize which issues to address first? What are the risks and potential rewards? What can you do yourself and where can you need help? This paper helps you answer those questions. It provides important insights into the root causes of project failures and misalignment with business unit expectations, along with possible solutions. It illustrates the path to optimized project and portfolio management from four different starting points, and provides step-by-step advice to help you reach new milestones quickly. It is intended to help you make the transition from managing IT projects to managing business outcomes.
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it project, portfolio management
    
HP - Enterprise
Published By: iCims     Published Date: Jan 24, 2017
Despite strong wages and steady job growth, without enough skilled employees to fill an onset of retirees, manufacturers face hiring challenges in the days to come. That's why investing in better strategies and technologies to quickly hire available talent is key.
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iCims
Published By: LogLogic     Published Date: Mar 15, 2012
Garnering critical IT insight helps organizations and individuals make the right decisions to better serve customers, partners, regulatory bodies and internal employees and answer many important business challenges. This whitepaper describes LogLogic's philosophy and evolution of IT Data Management.
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log management, siem, big data, storage, sem, pci compliance, it operations, data storage, data forensics, security intelligence, splunk, rsa envision, logrhythm, arcsight, compliance, hipaa, nitro security, q1 labs, security event management, syslog
    
LogLogic
Published By: Teradata     Published Date: Oct 15, 2012
Does your organization struggle to get new business insights from all data types with rapid exploration?
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data scientists, analyst, statistician, quants, quantitative analyst, scientist, data science
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
Big Data analytics are a top priority at many companies today. Most hope to derive new insights from all available data to improve productivity, cut costs, reduce churn, enhance the customer experience, and seize new business opportunities.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
This report is about two of those architectures: Apache™ Hadoop® YARN and Teradata® Aster® Seamless Network Analytical Processing (SNAP) Framework™. In the report, each architecture is described; the use of each in a business problem is illustrated; and the results are compared.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, aster, snap, framework, apache, hadoop, yarn, architectures
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
It is hard for data and IT architects to understand what workloads should move, how to coordinate data movement and processing between systems, and how to integrate those systems to provide a broader and more flexible data platform. To better understand these topics, it is helpful to first understand what Hadoop and data warehouses were designed for and what uses were not originally intended as part of the design.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, framework, apache, hadoop, architecture, warehouse, optimization, security, scalability, consistency, flexibility
    
Teradata
Published By: Genesys     Published Date: Dec 11, 2013
Gartner recently released its Magic Quadrant for Contact Center Workforce Optimization, the annual report analyzing the workforce optimization industry. Gartner positions vendors based on Completeness of Vision and Ability to Execute. Genesys improved its 2013 position moving from Niche Player to the Challengers Quadrant. This report provides you with insights you need to determine the Workforce Optimization Solution that is right for your organization. Read Now.
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wfo, strategic planning, recruitment, workforce management, wfm, call recording and quality management, performance management, surveying, interaction analytics, magic quadrant, workforce optimization, genesys
    
Genesys
Published By: Viavi Solutions     Published Date: Jul 21, 2017
The Tenth Annual State of the Network Global Study focuses on a lens on the network team's role in security investigations. When it comes to technology adoption, both cloud and 100 GbE deployment continue to grow aggressively. VoIP adoption is closing in on 60% and software-defined networking is projected to cross the halfway mark, indicating compounding network complexity amidst the ongoing struggle to ID security threats. Study questions were designed based on interviews with network professionals and IT analysts. Results were compiled from the insights of 1,035 respondents, including network engineers, IT directors and CIOs around the world.
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security investigation, security, sdn, cloud, data initiative, technology adoption, security trends, network performance monitoring, security threats
    
Viavi Solutions
Published By: BMC Software     Published Date: May 12, 2015
This guide provides a primer on the essentials of the Service Operation framework and highlights the key elements and important concepts from BMC Software ITIL experts.
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it service management, practiced approaches, it organizations, it services management, strategy, design, key elements
    
BMC Software
Published By: BMC Software     Published Date: May 12, 2015
This guide provides a primer on the essentials of the Service Strategy framework and highlights the key elements and important concepts from BMC Software ITIL experts.
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it service management, it organizations, it services, best practices, service strategy framework, important concepts
    
BMC Software
Published By: Steelwedge     Published Date: May 12, 2014
Supply Chain Insights in their study found that more than 80% of the companies they surveyed had an S&OP process. However, most companies have varying levels of maturity with it, and hence, very mixed results. The starting point to building a roadmap for a mature and successful S&OP process is to assess your current process. Gartner’s Maturity Model provides a very good mechanism for it.
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steelwedge, s&op, integrated business process, financial planning, sw2, gartner
    
Steelwedge
Published By: Brainshark     Published Date: Dec 08, 2015
New research from Forbes Insights and Brainshark reveals how top-performing sales teams attack the sales productivity problem.
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forbes report, sales enablement research, sales enablement reports, sales productivity problems, sales enablement, sales enablement analysis, cmo
    
Brainshark
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