data into insight

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Published By: Forcepoint     Published Date: Jun 06, 2019
Office 365, Salesforce, and other cloud apps deliver a boost in employee productivity, but this benefit comes at a price. Once data moves outside an enterprise, security teams lose visibility and control into how it’s accessed and used. There is also the risk of unsanctioned apps or Shadow IT – the cloud apps setup and managed outside of IT that they have no visibility of; all this leaves an organization having to manage up to 1,000 cloud apps*.  Deploying a CASB solution can help you discover and assess risk from unsanctioned cloud apps and control sanctioned cloud app use. Through a hands-on evaluation, ESG discovered that Forcepoint CASB: Reduces threat response times Grants visibility and context into user activity Controls user access to cloud apps from different locations/devices Read the ESG evaluation for rare insight into Forcepoint CASB by a respected third-party analyst.
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Forcepoint
Published By: Artemis Health     Published Date: Feb 05, 2019
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data. • Which data sources will help you ensure you’re measuring the right thing at the right time • How to ensure data variety and choose key metrics • An example of a successful predictive analysis using benefits data
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Artemis Health
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps. The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.
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BMC ASEAN
Published By: Adobe     Published Date: Jun 26, 2019
The world of advertising has become a complex tangle of organizational silos, disconnected platforms, and scattered customer data, turning even the simplest media buy into a chaotic event. But it doesn’t have to be this way. When you unify your audience data, media inventory, and performance results you get a clear view of ad activity and investment. So you can better allocate budgets. And dramatically boost your return on ad spend. Read Behind every great ad, there are a million digital connections for valuable insights on: - How the fragmented ad landscape keeps you from connecting with customers - Strategies for integrating technology and data to reach customers everywhere - Tips for recovering from data loss — and avoiding it altogether.
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Adobe
Published By: Microsoft Office 365     Published Date: May 10, 2016
We’ve identified seven ways that moving to cloud-based productivity apps can: Improve your communication and teamwork Increase your company’s mobility Turn data into insights Download the e-book to learn how you can make the most of the cloud with Office 365.
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Microsoft Office 365
Published By: Tableau     Published Date: Apr 13, 2018
In this whitepaper, discover the benefits of expanding your analytics toolkit. Combine Excel’s data collection and management capabilities with Tableau’s intuitive, analytical power to transform your raw data into actionable insights. Focus on the questions that take your data beyond the spreadsheet. Read more at about this partnership.
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Tableau
Published By: SAS     Published Date: Jun 26, 2019
To support open government initiatives and uphold the values of transparency, participation and collaboration in the US, federal agencies today make their data open, or publicly accessible. Citizens can use this open data to assess college affordability, the economy, educational issues, environmental damage, health care, taxes, agriculture, the climate and more. Governments can use APIs to pull this open data into SAS Visual Analytics as a way to identify trends and patterns and obtain all sorts of new insights. With public health surveillance, for example, governments can monitor and evaluate indicators that point to high-risk areas so they’ll know where and how to focus efforts. Such public health surveillance can serve as an early warning system for impending emergencies, document the impact of an intervention, track progress toward public health goals, and clarify health problems to inform public health policies and strategies.
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SAS
Published By: Brandwatch     Published Date: Jun 17, 2013
To demonstrate its prowess as an insight-driven agency, Waggener Edstrom used Brandwatch to monitor and analyze the social “buzz” around the 2012 London Olympic Games—and turned social conversations into meaningful insights for its client brands.
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social media monitoring, social media analytics, social media intelligence, social listening, social media strategy, social media insights, brand monitoring, twitter tracking, facebook tracking, twitter analysis, media reputatino monitoring, sentiment analysis, market research, social media tracking, social business intelligence, reputation measurement, social reporting, brand measurement, social brands, social analytics
    
Brandwatch
Published By: AWS - ROI DNA     Published Date: Aug 09, 2018
In today's big data digital world, your organization produces large volumes of data with great velocity. Generating value from this data and guiding decision making require quick capture, analysis and action. Without strategies to turn data into insights, the data loses its value and insights become irrelevant. Real-time data inegration and analytics tools play a crucial role in harnessing your data so you can enable business and IT stakeholders to make evidence-based decisions
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AWS - ROI DNA
Published By: Microsoft Dynamics     Published Date: Jul 03, 2008
Watch this informative webcast as we discuss how the integrated intelligence in Microsoft Dynamics GP and other Microsoft technologies can help improve your company operations by providing business insights to all employees. Learn how you can enable people throughout your organization to make confident, business-critical decisions while minimizing costs.
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business management, decision making, analytics, analytical, reporting, microsoft, microsoft dynamics
    
Microsoft Dynamics
Published By: SAS     Published Date: Jun 05, 2017
"The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights. "
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SAS
Published By: SAP     Published Date: Jul 19, 2012
With SAP® BusinessObjectsT Web Intelligence® software, companies can perform sophisticated ad hoc reporting and analysis. Powerful functionality and an intuitive user interface enable your people to turn data into insights, improve decision making and productivity, and share knowledge across the enterprise.
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sap, business, management, software, business information, insights, analysis, interactive, businessobjects, web intelligence, business technology
    
SAP
Published By: CDW     Published Date: Aug 04, 2016
Tools for extracting actionable insights from growing mounds of data are becoming smarter and easier to use. Organizations are awash in data generated by customers, supply chain partners and numerous other humanand machine-based sources. With the growth of the Internet of Things (IoT) starting to churn out even more data, many enterprises are considering how to transform their growing stores of raw information into actionable insights. Business intelligence (BI) and data analytics were once mostly limited to large enterprises, but 85 percent of small and midsize businesses have expressed interest in these solutions, according Gartner subsidiary Software Advice. Further, Accuray Research reports that the global business intelligence and analytics software market is poised to grow swiftly in the coming years to approximately $24 billion by 2020.
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data, technology, data analytics, business intelligence, enterprise, data analytics, business technology, data center
    
CDW
Published By: AWS     Published Date: Apr 27, 2018
Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data can now be processed in memory, and more significantly, analyzed as it arrives, in real time. Millions to hundreds of millions of events (such as video streams or application alerts) can be collected and analyzed per hour to deliver insights that can be acted upon in an instant. From financial services to manufacturing, this rev
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AWS
Published By: Amazon     Published Date: Nov 07, 2013
Until recently, it has been far cheaper and easier to produce and store data than to process it. Companies have the option to buy large, multi-million dollar hardware devices to process their big data, but with budgets under pressure and no clear way to calculate returns on investment, the business case is difficult to make… And when analysts explain to the CTO that they only need the hardware for six months, for one day a week, or for one hour a day, the investment becomes impossible to justify. In this whitepaper, you’ll learn how by eliminating the traditionally high ‘cost of entry’ for big data analysis, Amazon Web Services is enabling customers to convert more raw data into more valuable business insight.
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amazon web services, aws, aws cloud, cloud services, cloud computing, big data, data management, data analysis, insights, customer sentiment, big data analysis, business technology
    
Amazon
Published By: SAS     Published Date: Sep 25, 2008
This white paper provides a blueprint for action for senior marketers and decision makers across the enterprise. It provides straightforward advice on how to build a more durable and profitable customer base by building a more competitive business model, enabling customer-centric business strategies in a product-centric organization, turning expanding volumes of customer data into actionable insight for smarter decision making, and providing a roadmap for integrating technology to achieve competitive advantage.
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competitive advantage, customer data, data collection, business intelligence, customer intelligence, sas
    
SAS
Published By: Bazaarvoice     Published Date: Jan 17, 2014
Thanks to social, consumers are more vocal than ever and their opinions are influencing the purchase decisions of consumers all across the web. Learn how to turn social data into strategic business advantage with nine guiding insights to improve your bottom line today.
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social media, business insights, social media insights, social networks, consumer behavior
    
Bazaarvoice
Published By: Bazaarvoice     Published Date: Nov 05, 2014
Thanks to social, consumers are more vocal than ever and their opinions are influencing the purchase decisions of consumers all across the web. Learn how to turn social data into strategic business advantage with nine guiding insights to improve your bottom line today.
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bazaarvoice, business results, business insights, social segmentation, product innovation, consumer research, product enhancements, product performance, customer preferences, product catalog
    
Bazaarvoice
Published By: IBM     Published Date: Apr 29, 2014
For banks, mining data from social media can be a significant way to gain insights into customer mindsets and behavior, but effectively and accurately capturing and processing this unstructured data to gain useful customer insight requires sophisticated tools and advanced analytics.
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ibm, banking, data mining, social media, consumer insights, business analytics, social business, business technology
    
IBM
Published By: IBM     Published Date: May 07, 2015
Hear a panel of HR leaders engage in a conversation about how they are using predictive and prescriptive analytics applied to talent to drive better business results. Join us to explore how you can be more effective in designing pilots, demonstrating the ROI for talent analytics, and translating talent data into talent insight.
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talent acquisition, recruiting, optimization, technology, talent analytics, ibm
    
IBM
Published By: IBM     Published Date: Aug 20, 2015
Hear from industry experts, how forward-thinking organizations can use workforce science and analytics to turn data into insights and then into action
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data analytics, ibm recruitment, data insights, hr leaders, workforce science, talent management, hr analytics
    
IBM
Published By: IBM     Published Date: Mar 28, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action? One way is through the development and implementation of talent analytics strategies. Talent analytics is fundamentally changing the way organizations and practitioners are thinking about the role of HR and organizations uncovering never before seen insights.
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ibm, smarter workforce, talent management, talent analytics
    
IBM
Published By: IBM     Published Date: Jun 13, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action? One way is through the development and implementation of talent analytics strategies. Talent analytics is fundamentally changing the way organizations and practitioners are thinking about the role of HR and organizations uncovering never before seen insights.
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ibm, talent acquisition, talent acquisition technology, human resources, recruiting
    
IBM
Published By: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
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incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
    
Schneider Electric
Published By: IBM     Published Date: Apr 15, 2016
Ziff Davis Custom Whitepaper: Analytics relies on BI, Big Data, and data discovery to provide reporting, trend analysis, and what-if analysis.iii Analytics is defined as the scientific process of transforming data into insight for making better decisions.
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ibm, business analytics, business intelligence, agile, decision making, big data, business technology
    
IBM
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