data insights

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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, risk management, analytical applications, virtualization, infrastructure
    
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, business intelligence
    
Patsnap
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: 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: 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
    
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, cloud computing
    
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: Infomatica     Published Date: Mar 05, 2014
It’s no secret—healthcare is transforming. The transition to value-based care is well underway; healthcare players are feeling the impact and each has a role to play, including you! Moving to a value-driven model demands agility from every person, process and technology. These changes are generating more data than ever, there is a lot of data, in fact IDC Global Health Insights predicted that over the next 10 years, the amount of digital healthcare data created annually will grow 44 fold. Organizations that lead the pack and succeed will be those where clinicians, business leaders and patients are empowered with access to clean, safe and connected data. Learn more about your role in putting information to work…
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healthcare, technology, business, manage data, hospitals, performance management, value based care, consumerism, convergence, personalized medicine, preventative care
    
Infomatica
Published By: Socialbakers     Published Date: Jan 20, 2015
In this exclusive report, you’ll find out how to use deep social media data to pursue new clients, perfect your data-driven pitches, and master the results with custom, easy-to-read reporting. It’s a data world, and agencies need to bring the best insights on the market to win new clients and keep existing business. This guide will get you started.
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benefits of using social media data, data center design and management, content management
    
Socialbakers
Published By: RedPoint Global     Published Date: May 11, 2017
While they’re intensifying, business-data challenges aren’t new. Companies have tried several strategies in their attempt to harness the power of data in ways that are feasible and effective. The best data analyses and game-changing insights will never happen without the right data in the right place at the right time. That’s why data preparation is a non-negotiable must for any successful customer-engagement initiative. The fact is, you can’t simply load data from multiple sources and expect it to make sense. This white paper examines the shortcomings of traditional approaches such as data warehouses/data lakes and explores the power of connected data.
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customer engagement, marketing data, marketing data analytics, customer data platform
    
RedPoint Global
Published By: Workday     Published Date: Jul 19, 2017
It is an exciting and challenging time for CFOs as their role continues to evolve in a dynamic, everchanging business environment. To keep up with the pace of change and steer their companies toward growth, CFOs need to focus on strategic value and how they can support the broader organization. Driving growth, contending with an ever-evolving regulatory environment, delivering deeper and more-strategic business insights, and staying agile as demands change requires a new kind of finance organization. All of this change will continue to lead CFOs to look inward at their finance systems and evaluate if they can help support business demands today and in the future.
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cloud, cfo, financial systems, data insights, strategic value, organization optimization, file systems
    
Workday
Published By: IBM Watson Health     Published Date: Dec 10, 2018
In this case study, large health systems implement IBM Watson Health to surface improvement opportunities. Using this tool, they were able to cut costs, reduce patients’ length of stay, acquire actionable data, address number of readmissions and improve management of COPD and sepsis.
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hospitals, health systems, healthcare, analytics, data, insights, case study, performance improvement, healthcare insights, cost, length of stay, financial performance data, readmissions, quality performance, benchmarks, dashboards, patient volume, savings
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Dec 11, 2018
This one-page interview describes the importance of providing clinicians with access to evidence-based information and discusses how artificial intelligence can help deliver that information quickly at the point-of-care.
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hospitals, health systems, artificial intelligence, data, cognitive insights, value-based care, evidence-based, healthcare technology
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Dec 12, 2018
Data analytic solutions help improve the value of health and human services, drive better decision-making and lower costs. See how the right solutions can contribute to millions of dollars saved through fraudulent claims detection, offer insights into the social determinants of health and benefit social programs.
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government, health and human services, artificial intelligence, data, cognitive insights, medicaid, fraud reduction, social program management, healthcare technology
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Dec 20, 2018
In this webinar, experts discuss how data and analytics can be applied to improve health program outcomes and how social determinants of health affect risk. It includes a case study on how the application of advanced analytic methods helped to decipher the impact of high-priced specialty drugs on the overall population. The experts also address how artificial intelligence can drive better decision-making, improve population health and cut costs.
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government, health and human services, artificial intelligence, data, cognitive insights, long-term care, case study, analytics, social program management, spm, healthcare technology, high-priced drugs, specialty drugs, population health
    
IBM Watson Health
Published By: TIBCO Software     Published Date: Aug 13, 2018
TIBCO Spotfire is the premier data discovery and analytics platform, which provides powerful capabilities for our customers, such as dimension-free data exploration through interactive visualizations, and data mashup to quickly combine disparate data to gain insights masked by data silos or aggregations.
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TIBCO Software
Published By: TIBCO Software     Published Date: Aug 15, 2018
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms. Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
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TIBCO Software
Published By: Splunk     Published Date: Aug 17, 2018
IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations. Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter. Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to: Enable a business aware IT organization Unlock operational efficiencies Solve problems with predictive analytics
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: Splunk     Published Date: Aug 17, 2018
he digital transformation era has left organizations uncertain about how to best use all their newly generated data to foster growth and edge out the competition. This has led to the development of a new set of smart technologies to enhance an organizations’ ability to parse through extensive troves of data to find new insights. Download your complimentary copy of “AI and Machine Learning in Your Organization” to avoid missing out on valuable business insights. You’ll learn about: *The critical role AI and machine learning play in finding answers *How data is the fuel for your machine learning and AI-powered initiatives *The ways in which AI and machine learning are being applied today to bolster IT operations and security
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Splunk
Published By: Splunk     Published Date: Aug 17, 2018
IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs. Download “The Essential Guide to Infrastructure Machine Data” for: The benefits of machine data for network, remote, web, cloud and server monitoring IT infrastructure monitoring data sources to include in your machine data platform Machine data best practices
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
    
Splunk
Published By: Trifacta     Published Date: Feb 12, 2019
In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data. Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018. In this recorded webinar you will learn: • Where does data preparation fit within DataOps • What are the key technical & business differentiators of data preparation solutions • How to align the righ
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Trifacta
Published By: Attunity     Published Date: Jan 14, 2019
This whitepaper explores how to automate your data lake pipeline to address common challenges including how to prevent data lakes from devolving into useless data swamps and how to deliver analytics-ready data via automation. Read Increase Data Lake ROI with Streaming Data Pipelines to learn about: • Common data lake origins and challenges including integrating diverse data from multiple data source platforms, including lakes on premises and in the cloud. • Delivering real-time integration, with change data capture (CDC) technology that integrates live transactions with the data lake. • Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assemble a historical data store. • Leveraging a scalable and autonomous streaming data pipeline to deliver analytics-ready data sets for better business insights. Read this Attunity whitepaper now to get ahead on your data lake strategy in 2019.
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data lake, data pipeline, change data capture, data swamp, hybrid data integration, data ingestion, streaming data, real-time data, big data, hadoop, agile analytics, cloud data lake, cloud data warehouse, data lake ingestion, data ingestion
    
Attunity
Published By: Attunity     Published Date: Feb 12, 2019
This technical whitepaper by Radiant Advisors covers key findings from their work with a network of Fortune 1000 companies and clients from various industries. It assesses the major trends and tips to gain access to and optimize data streaming for more valuable insights. Read this report to learn from real-world successes in modern data integration, and better understand how to maximize the use of streaming data. You will also learn about the value of populating a cloud data lake with streaming operational data, leveraging database replication, automation and other key modern data integration techniques. Download this whitepaper today for about the latest approaches on modern data integration and streaming data technologies.
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streaming data, cloud data lakes, cloud data lake, data lake, cloud, data lakes, streaming data, change data capture, cloud computing, modern data integration, data integration, data analytics, cloud-based data lake, enterprise data, self-service data
    
Attunity
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