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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: Group M_IBM Q1'18     Published Date: Jan 04, 2018
As organizations seek to extract more strategic value from their data, many are starting to view data governance as an enabler of insight rather than an impediment to its creation. This report explores a leading approach to data governance and the impact it can have on today’s most data-rich organizations.
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data governance, data-rich organizations
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
For data-driven businesses, cloud can be a boon. Data can be found, processed and managed on the cloud without an investment in local hardware infrastructure, but what does that mean to information trust and governance? When data comes from cloud-based sources, IT needs a plan for data integration and security. Download this insightful white paper and learn the four key priorities you must consider when developing your IT strategy to promote good hybrid information governance. Learn the blend of process, organizational and technical enablers that will allow you to move to a hybrid environment with speed and confidence.
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data-driven business, cloud, information trust, information governance, data integration, data security, it strategy
    
Group M_IBM Q1'18
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Learn how to create cloud infrastructure that's secure by default and has better core efficiency for Java, database, and big data. Oracle's servers offer hardware acceleration of data analytics and machine learning, with 10X better time-to-insight.
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
This Wikibon Report offers detailed insight into how Oracle SPARC M7-based servers, and systems, use advanced offload technologies for encryption of systems; have very low encryption overheads; and are an important prerequisite for implementing best-of-breed security without impacting business productivity.
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Oracle PaaS/IaaS/Hardware
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: Entrust Datacard     Published Date: Jun 29, 2017
Customers are the ones in control. And they give their business to the businesses keeping pace. To learn how you can keep pace, get a sneak peek into the upcoming webinar – “The Bottom Line About Instant Card Issuance” by downloading the new insight infographic.
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Entrust Datacard
Published By: Workday     Published Date: Sep 18, 2018
Explore the strategies companies are pursuing to manage change in this Workday-sponsored Harvard Business Review Analytic Services report. See how organisations use a single cloud-based system for finance and HR to create data-led decision-making, support C-suite collaboration, and develop planning methods with better insight, accuracy, and speed.
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finance, workday, workforce technology, digital strategy
    
Workday
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 04, 2013
Businesses are overwhelmed with data; it’s a blessing and a curse. A curse because it can overwhelm traditional approaches to storing and processing it. A blessing because the data promises business insight that never existed earlier. The industry has spawned a new term, “big data,” to describe it. Now, IT itself is overwhelmed with its own big data. In the press to roll out new services and technologies—mobility, cloud, virtualization—applications, networks, and physical and virtual servers grow in a sprawl. With them comes an unprecedented volume of data such as logs, events, and flows. It takes too much time and resources to sift through it, so most of it lies unexplored and unexploited. Yet like business data, it contains insight that can help us solve problems, make decisions, and plan for the future.
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data research, big data, virtualization, applications, networks
    
HP - Enterprise
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: Success Factors     Published Date: Jul 08, 2014
Technology plays an integral role in enabling businesses to have access to insightful analytics. By providing metrics on core workforce facts, workforce financials, productivity and performance, talent development and succession and human capital risk, companies are able to identify those 10- 15 metrics most important to business goals. This will enable them to present the Board of Directors with a comprehensive and concise story of workforce capabilities. The best place, we suggest, is with expert, practical guidance. Download this informative resource.
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success factors, workforce data, boardroom, metrics, workforce facts, workforce financials, hr metrics, tecnhology
    
Success Factors
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, business technology
    
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, data management, business 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, data management, business technology
    
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, data management
    
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, networking, knowledge management, business technology, telecom
    
Genesys
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