data insights

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Published By: Oracle EMEA     Published Date: Jul 22, 2019
How confident are you and your peers about the data and security practices you’re working with? We asked 5,000 executives globally, across 24 markets and have some interesting results to share. For example, up to half of IT leaders consider their data is manageable but struggle to gain meaningful insights from it. Yet, while AI and autonomous technology could help relieve this situation, they aren’t high on the priority list. Read our report to find out more about executives’ views about data in connection with security, ethics, and visualisation. Read the report
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Oracle EMEA
Published By: QlikTech     Published Date: Aug 27, 2013
The Tectonic Plates are shifting in the BI software market - The promise of business intelligence software is to enable decision makers at all level in an organization to leverage data for business advantage - to explore data, draw insights and meaningful conclusions, and make better decisions. This research paper shows how the QlikView Business Discovery Platform delivers true self-service BI that empowers business users by driving innovative decision-making.
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business discovery, powerful, business intelligence, qliktech, idc, small vendors, enabling decision makers, better decisions, knowledge management, enterprise applications
    
QlikTech
Published By: Wipro     Published Date: May 03, 2011
What sets the truly innovative and efficient companies apart is the way they put the underlying transaction data to use. Efficient and imaginative use of the data gives remarkable insights into the way the company conducts bu
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business intelligence, insurance, business transformation
    
Wipro
Published By: IBM     Published Date: Jan 27, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior—and profitable—interactions with customers.
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ibm, data, insights, results, analytics, cognitive commerce, knowledge management, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Sep 11, 2013
Learn how a better grasp of "big data" from consumers will help retailers generate valuable insights for personalizing marketing and improving the effectiveness of campaigns among other things.
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big data, retail, insights, marketing, campaigns, velocity of data
    
IBM
Published By: IBM     Published Date: Apr 29, 2014
With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. When consumers interact with retailers publicly through social media, they have greater power to influence other customers or damage a brand. These and other changes in the retail industry are creating important opportunities for retailers. But to capitalize on those opportunities, retailers need ways to collect, manage and analyze a tremendous volume, variety and velocity of data.
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ibm, retail, ecommerce, big data, retail technology, social media, data analytics, customer insights, customer analytics, personalization, ecommerce
    
IBM
Published By: IBM     Published Date: Aug 06, 2014
With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. When consumers interact with retailers publicly through social media, they have greater power to influence other customers or damage a brand. These and other changes in the retail industry are creating important opportunities for retailers. But to capitalize on those opportunities, retailers need ways to collect, manage and analyze a tremendous volume, variety and velocity of data. If retailers succeed in addressing the challenges of “big data,” they can use this data to generate valuable insights for personalizing marketing and improving the effectiveness of marketing campaigns, optimizing assortment and merchandising decisions, and removing inefficiencies in distribution and operations.
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ibm, retail, data, big data, power, stores, interact, social media
    
IBM
Published By: IBM Watson Health     Published Date: Jul 09, 2018
Gaps in care in health systems cause higher mortality rates and inflate costs. Download this case study for a closer look at how one health system used IBM CareDiscovery data to prove to their board that an outpatient palliative care service line was viable in both cost savings and quality of care improvement.
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mortality rates, quality of care, palliative care, care continuum, clinical performance improvement, ibm, carediscovery, roi, value-based care, episode-of-care, mortality data, process-of-care model, hospital insights, health system insights
    
IBM Watson Health
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: Druva     Published Date: Sep 27, 2017
There are significant differences between a cloud-native data protection solution and those that call themselves “clouds.” Understanding the value of each requires asking the right questions based on the needs of the organization. This executive brief provides critical insights into the pros and cons of each model.
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cloud protection, data protection, enterprise recovery, cloud
    
Druva
Published By: Cisco     Published Date: Dec 21, 2016
The Cisco 2016 Annual Security Report—which presents research, insights, and perspectives from Cisco Security Research—highlights the challenges that defenders face in detecting and blocking attackers who employ a rich and ever-changing arsenal of tools. The report also includes research from external experts, such as Level 3 Threat Research Labs, to help shed more light on current threat trends. We take a close look at data compiled by Cisco researchers to show changes over time, provide insights on what this data means, and explain how security professionals should respond to threats.
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Cisco
Published By: Cisco     Published Date: Feb 23, 2016
Businesses in virtually every industry are using location data to better understand their customers and users. By knowing how people move through and interact with a venue, businesses can gain valuable insights to optimize their locations and engage customers at the point of decision. However, contextual customer information is only as valuable as its accuracy. And when it comes to capitalizing on location data, a meter is worth more than a kilometer.
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data, wireless, network manangement, customer engagement, network management, network performance, productivity, project management
    
Cisco
Published By: Adobe     Published Date: Jun 26, 2019
Put your data in the hands of those who need it most, so they can act quickly to deliver great customer experiences. And a better bottom line. Data is no longer the domain of a few. Everyone in your organization should be thinking about it. And more importantly, acting upon it. This means taking data insights out of the realm of data scientists and making them a natural part of everyone’s workflow — from the marketing department to the executive team. To seize and capitalize on the data you already have, it’s important for analysts and marketers to rethink data—shifting from a reporting mindset to an action mindset. 74% of organizations want to be data driven, yet only 29% say they’re good at connecting analytics to action.
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Adobe
Published By: SAS     Published Date: Aug 03, 2016
New analytics tools and services are helping organizations extract exceptional business value from the massive volumes of available data provided by various internal and external sources. Many companies are harnessing these insights to improve operational and business processes, troubleshoot problems, identify business opportunities, and generally compete and innovate better. Now the benefits of analytics in those areas are prompting companies to look to analytics to improve information security. Enterprise security organizations are under tremendous pressure to change. Traditional perimeter-focused security controls and strategies have proved inadequate against modern, highly targeted attack campaigns.
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best practices, technology, security, enterprise, analytics, business analytics, business intelligence, business management
    
SAS
Published By: AWS     Published Date: Nov 15, 2018
"To provide trusted identities and secure transactions to your customers, you want a flexible, scalable monitoring solution that offers a unified view on the Amazon Web Services (AWS) cloud. Learn how Entrust Datacard can help your organization quickly identify, resolve, and prevent issues by using a cloud-native platform to deliver seamless customer experiences every time. Watch our on-demand webinar and gain valuable insights into: • How to use a DevOps approach to monitoring • The best practices to scale your monitoring solutions • How Entrust Datacard monitors trace, syslog and metric data from sources like Amazon CloudWatch, Application Load Balancer, and Amazon Aurora"
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AWS
Published By: IBM     Published Date: Feb 16, 2016
Analytics has been a hot topic for a long time. In insurance, it's been a core area of focus forever, and descriptive analytics have been followed by predictive analytics. But companies are just beginning to explore prescriptive analytics for decision management, and now comes a whole new era: Cognitive.
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analytics, cognitive computing, decision management, prescriptive analytics, data, insurance, data insights, analytical applications, business intelligence, data integration
    
IBM
Published By: IBM     Published Date: May 01, 2017
If you function like most IT organizations, you've spent the past few years relying on mobile device management (MDM), enterprise mobility management (EMM) and client management tools to get the most out of your enterprise endpoints while limiting the onset of threats you may encounter. In peeling back the onion, you'll find little difference between these conventional tools and strategies in comparison to those that Chief Information Officers (CIOs) and Chief Information Security Officers (CISOs) have employed since the dawn of the modern computing era. Their use has simply become more: Time consuming, with IT trudging through mountains of endpoint data; Inefficient, with limited resources and limitless issues to sort through for opportunities and threats; and Costly, with point solution investments required to address gaps in OS support across available tools. Download this whitepaper to learn how to take advantage of the insights afforded by big data and analytics thereby usher i
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ibm, endpoint management, mobile device management, enterprise mobility, os support, it organizations
    
IBM
Published By: IBM     Published Date: May 12, 2017
In today’s world, the data is flowing from all directions: social media, phones, weather, location and sensor equipped devices, and more. Competing in this digital age requires the ability to analyze all of this data, and use it to drive decisions that mitigate risk, increase customer satisfaction and grow revenue. Using a combination of proprietary software and open source technology can give your data scientists and statisticians the analytical power they need to find and act on insights quickly. IBM® SPSS® Statistics provides all of the data analysis tools you need, and integrates with thousands of R extensions for maximum power and flexibility. In this next Data Science Central Webinar event, we will show how SPSS Statistics can help you keep up with the influx of new data and make faster, better business decisions without coding.
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ibm, spss, data analysis, statistics, risk mitigation
    
IBM
Published By: SAP     Published Date: May 18, 2014
Forrester conducted in-depth surveys with 330 global BI decision-makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and big data tools. In this paper, you will learn what separates the leading companies from the rest when it comes to exploiting innovative technologies in BI and analytics, and what steps you can take to either stay a leader or join their ranks.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools, analytical applications
    
SAP
Published By: SAP     Published Date: May 18, 2014
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools, it management, knowledge management
    
SAP
Published By: TIBCO Software     Published Date: May 16, 2019
Banks globally are betting big on artificial intelligence and machine learning to give them the technological edge they need for more real-time, personalized and predictive banking services. A framework will help both differentiate early winners and provide them with sustained advantages in intelligence. Download this IDC Analyst Infobrief to learn about how the world’s best banks are becoming more personal, more predictive, and more real-time than ever. What you will learn: 8 trends that reflect bank’s readiness for connected intelligence 9 pitfalls to avoid & 9 ways to bridge the gaps The personal, real-time and predictive building blocks of AI & ML for banks Notable leaders based on IDC Financial Insights’ research and their respective use cases Essential guidance from IDC to leading banks
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data, analytics, customer, banks, intelligence, capabilities, customers, insights, banking
    
TIBCO Software
Published By: Genesys     Published Date: Feb 21, 2018
Routing is a fundamental component of your customer experience strategy. True omnichannel routing breaks down channel silos and gathers intelligence upfront through context and data to deliver the personalized, seamless engagement your customers now expect. Learn how you can move beyond single interactions with true omnichannel routing: • Dynamically match customers from any touchpoint, over any channel, to the agent with the optimal insights, skill set and proficiency • Enable seamless transitions between digital self-service and live employee contact • Replace single, random interactions with thoughtfully designed and optimized customer journeys
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contactbabel, contact center, omnichannel, routing, customer experience
    
Genesys
Published By: Genesys     Published Date: Jun 13, 2018
Routing is a fundamental component of your customer experience strategy. True omnichannel routing breaks down channel silos and gathers intelligence upfront through context and data to deliver the personalized, seamless engagement your customers now expect. Learn how you can move beyond single interactions with true omnichannel routing: • Dynamically match customers from any touchpoint, over any channel, to the agent with the optimal insights, skill set and proficiency • Enable seamless transitions between digital self-service and live employee contact • Replace single, random interactions with thoughtfully designed and optimized customer journeys
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routing, customer experience, transitions, self-service
    
Genesys
Published By: Genesys     Published Date: Jul 13, 2018
Routing is a fundamental component of your customer experience strategy. True omnichannel routing breaks down channel silos and gathers intelligence upfront through context and data to deliver the personalized, seamless engagement your customers now expect. Learn how you can move beyond single interactions with true omnichannel routing: • Dynamically match customers from any touchpoint, over any channel, to the agent with the optimal insights, skill set and proficiency • Enable seamless transitions between digital self-service and live employee contact • Replace single, random interactions with thoughtfully designed and optimized customer journeys
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Genesys
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