analytics tools

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By: Aviatrix     Published Date: May 17, 2018
Once you've designed and secured your Global Transit Network, are you done? Are you ready to hand day-to-day responsibility over to an operations team? Or, are there other elements you need to ensure that the day-to-day operation of your transit hub is efficient and effective? As part of our fact-filled AWS Bootcamp series, Aviatrix CTO Sherry Wei and Neel Kamal, head of field operations at Aviatrix, demonstrate the best practices they've gleaned from working with operations teams, all who require: • Visibility: Do you have a way to centrally view your network, see performance bottlenecks, control security policies, and set other configuration details? • Deep Analytics: Can you easily gather performance and audit data and export it to Splunk, DataDog, or other advanced reporting tools? • Monitoring and Troubleshooting: Do you have a real-time view of network health, and how easily can you access the data needed to locate and fix issues? • Alert Management: When issues do occur, what r
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     Aviatrix
By: Adobe     Published Date: Mar 26, 2018
Marketing leaders rely on analytics teams to deliver better measurement, insights and optimization. Use this research to evaluate your organization's current analytics tools and identify new solutions aligned to your goals.
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     Adobe
By: SAS     Published Date: Mar 06, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
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     SAS
By: Workday     Published Date: Feb 27, 2018
HCM suites and their individual applications also provide reporting and data as needed by local and international regulations, and often include analytics and dashboard capabilities. Transactional employee and manager self-service have become embedded roles within these solutions, and the ability to support mobile access has also become a fundamental part of these offerings. With increasing frequency, we see the inclusion of tools and applications embedded within HCM technologies to infuse traditional processes with collaboration, and capitalize on approaches that leverage social channels in the workplace to enhance overall user engagement and productivity.
Tags : cloud, hcm, suites, midmarket, enterprises, analytics, employee
     Workday
By: Oracle     Published Date: Feb 21, 2018
Welcome to Oracle Mobile Cloud, Enterprise (OMCe), the new platform for building engaging experiences across all of your digital channels. Expand the power of those channels with the next giant leap in our evolution: intelligent bots backed by artificial intelligence (AI). And if that’s not enough, the new OMCe Analytics tools provide deep insights into user adoption, so you can steer customers toward the behavior you want. Talk about impressive! Ready to learn more?
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     Oracle
By: Oracle     Published Date: Feb 21, 2018
As Mobile is the new normal for users to connect and consume content, you need to consider apps, mobile integration,security, analytics, development tools, life-cycle management, various mobile stakeholders, and the overall enterprise mobile ecosystem.
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     Oracle
By: QASymphony     Published Date: Jan 08, 2018
Data. It seems to be everywhere today and yet we can never get enough of it. But as it turns out, a lack of data isn’t our problem -- our problem is the difficulty piecing together, understanding and finding the story in all the data that’s in front of us. In software testing in particular, the need for consolidated, meaningful test metrics has never been higher. As both the pace of development and the cost of delivering poor quality software increase, we need these metrics to help us test smarter, better and faster. Fortunately, business intelligence now exists to make this goal a reality. The analytics these tools provide can help drive efficient and effective testing by providing teams with insight on everything from testing quality and coverage to velocity and more. And this knowledge can position the QA team as trusted experts to advise the entire software development team on steps that can ensure a better quality end result.
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     QASymphony
By: IBM Watson Health     Published Date: Nov 21, 2017
The shift to value-based care means that healthcare organizations should expand their concept of return on investment (ROI) to include the ability of solutions to increase efficiency and contain healthcare costs. Data analytics and automation capabilities have become important tools for providers aiming to maximize value-based payments. Learn from this whitepaper about the best ways for healthcare organizations to measure health IT ROI in the value-based environment, including specific examples of how certain providers are approaching this challenge.
Tags : value-based care, healthcare costs, health outcomes, health it, health information technology, hospital performance, operational performance, hospital performance improvement, operational performance, operational benchmarks, comparative analysis, post-acute network alignment, provider alignment, hospital spending, hospital financial benchmarks, hospital operational benchmarks
     IBM Watson Health
By: IBM Watson Health     Published Date: Nov 10, 2017
To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig
Tags : population health management, big data, data, data analytics, big data solution, data infrastructure, analytic tools, predictive modeling
     IBM Watson Health
By: Select Hub     Published Date: Nov 07, 2017
Interactive analyst report gives you comparison ratings, reviews and pricing from actual software selection projects. Unlike some ratings, SelectHub product scores are taken from multiple sources including top analysts and actual buyers of the software—ideal for your shortlist. Find the right BI analytics tools: • Actionable insights from experts: In plain language, find out how each product supports the functions that matter most to your company. • Key requirements criteria: Get a comprehensive list of the key requirements for use in your software evaluation and vendor selection. • Easy pricing: Get recommendations and pricing for solutions matching your business needs. • Includes practical guide: How to Buy Business Intelligence Software Over 80 business analytics and BI tools evaluated. The SelectHub platform contains expert software analysis across key criteria and vendor data. These built-in analyst ratings are combined with subjective user ratings to create SelectHub ratings r
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     Select Hub
By: Gigamon     Published Date: Oct 25, 2017
Read the Joint Solution Brief Accelerate Threat Detection and Response to learn how Gigamon helps Splunk Enterprise users effectively analyze and remediate network security threats. Benefits include enhanced visibility and deeper, faster security analytics from precise, targeted network metadata generated from the traffic flowing in your network. Also learn how automation of common security tasks, across the Gigamon platform and third-party security tools, from within the Splunk platform helps increase analyst efficiency and reduce errors.
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     Gigamon
By: Gigamon     Published Date: Oct 19, 2017
Register for the Enterprise Strategy Group’s Research Insights Paper, Understanding the State of Network Security Today to learn more about the challenges, changes, best practices and solution requirements for network security operations and tools. See why ESG recommends improving network visibility and reducing security vulnerabilities by consolidating tools through a platform-based approach to visibility in which data, analytics and reports from multiple tools are aggregated and consumed in one control panel. Download to learn more.
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     Gigamon
By: SAS     Published Date: Oct 18, 2017
Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership. The last decade has seen rapid advances in connectivity, mo­bility, analytics, scalability and data, creating what some call the fourth industrial revolution, or Industry 4.0. With the help of the Industrial Internet of Things (IIoT), manufacturers have digitized operations, transforming efficiency, supply-chain performance and in­novation. This revolution has even created entirely new business models. This e-book gives manufacturers the tools to lead the Qual­ity 4.0 transformation – a transformation that raises traditional manufacturing to the next level. It teaches readers to use advanced technology, analytics and IIoT to strengthen the manufacturing process and bring it forward into a powerful digital age.
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     SAS
By: SAS     Published Date: Oct 18, 2017
Financial organizations are deploying artificial intelligence and machine learning in the fight against financial crimes. David Stewart, Director of Pre-Sales for the Global Security Intelligence Practice at SAS, offers tips to help separate fact from market hype when reviewing new data analytics tools. You’ll learn about: • The new industry intrigue with artificial intelligence and machine learning. • How these emerging solutions can benefit financial institutions. • The SAS approach of “crawl, walk, run” when it comes to adopting new analytics tools.
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     SAS
By: Oracle Analytics     Published Date: Oct 06, 2017
Business decision making is undergoing a data-infused renaissance. Organizations are tired of the limitations of spreadsheets and dealing with long IT business intelligence (BI) development cycles just to gain access to the data they need now. Fortunately, with the advent of visual analytics and discovery tools (many offered in the cloud), the journey to data insight is getting simpler and faster. Rather than trying to divine meaning from a group of predefined reports or simple static dashboards, visual analytics helps users gain insights from data more quickly using intuitive data visualization. Increasingly, visual analytics tools provide easy-touse data preparation features for better data access. They support collaboration, mashups, and storytelling. TDWI Research sees growing interest in applying more modern, up-to-date tools for working with data.
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     Oracle Analytics
By: Hubble by insightsoftware.com     Published Date: Oct 03, 2017
It’s critical that Finance teams have accurate, relevant, and timely data to understand current run rates and to steer your company toward growth. “The Finance Boss Guide to Oracle E-Business Suite to Drive Exponential Financial Gains” will help you translate numbers into fiscal performance through better reporting, analytics and planning, such as: How to create your own usable, sharable reports and web-based dashboards tracking financial performance and progress against company-wide KPIs Avoiding over-investing in dated ERP tools Industry analyst’s take on how to get better reporting and planning best practices and tools How Finance leaders at Bibby Distribution used the ability to drill down into reports to get exactly the detail they needed to address immediate business issues
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     Hubble by insightsoftware.com
By: Hubble by insightsoftware.com     Published Date: Oct 03, 2017
It’s critical that Finance teams have accurate, relevant, and timely data to understand current run rates and to steer your company toward growth. “The Finance Boss Guide to JD Edwards to Drive Exponential Financial Gains” will help you translate numbers into fiscal performance through better reporting, analytics and planning, such as: How to create your own usable, sharable reports and web-based dashboards tracking financial performance and progress against company-wide KPIs Avoiding over-investing in dated ERP tools Industry analyst’s take on how to get better reporting and planning best practices and tools How Finance leaders at Bibby Distribution used the ability to drill down into reports to get exactly the detail they needed to address immediate business issues
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     Hubble by insightsoftware.com
By: Alteryx, Inc.     Published Date: Sep 06, 2017
According to Forrester, the level of analytic satisfaction within organizations is on the decline.* The traditional multiple-step, multi-tool legacy approach is a slow, time-consuming, and in most cases, a costly process that prevents organizations from making faster decisions with confidence. Data analysts today need an agile solution that empowers them to take charge of the entire analytics process. Download The Definitive Guide to Self-Service Data Analytics to: Understand why traditional analytic tools designed for data scientists are not ideal for data analysts like you Learn how self-service data analytics delivers the ease of use, speed, flexibility, and scalability you require See how Alteryx stacks up against traditional data prep and analytics tools Find out how self-service data analytics bridges the gap across skills, speed, and depth of analysis to empower you to achieve ever-greater insights without coding or depending on other departments.
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     Alteryx, Inc.
By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Mobile is the new normal for users to connect and consume content, you need to consider apps, mobile integration,security, analytics, development tools, life-cycle management, various mobile stakeholders, and the overall enterprise mobile ecosystem.
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     Oracle PaaS/IaaS/Hardware
By: Oracle APAC ZO OD Prime Volume HCM ABM Leads June 2017     Published Date: Jul 12, 2017
Deep-dive analytics tools have completely transformed the way many organizations do business—helping remove the guesswork from major areas of operations, and provide everybody with the clear, actionable answers they need to make informed business decisions. The benefits of sophisticated analytics are being reaped across the business. But according to Deloitte, HR is lagging behind— with only 14 percent of companies using analytics in HR, compared to 77 percent using these tools in Operations1.
Tags : human resources, employee engagement, talent management
     Oracle APAC ZO OD Prime Volume HCM ABM Leads June 2017
By: Determine (Selectica)     Published Date: Jun 29, 2017
Cloud-based solutions are revolutionizing the way that enterprises conduct business. These web-based versions of common business tools, like analytics or document management tools, retain most or all of the functionality of their desktop versions and provide significant access, customization, and utility to end users. More organizations are ditching on-premises solutions and adopting cloud-based tools, also known as Software-as-a-Service (SaaS), "hosted," or "on-demand" solutions. The are becoming invaluable assets in today's agile and mobile workforce.
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     Determine (Selectica)
By: IBM     Published Date: Jun 21, 2017
NoSQL databases and Apache Spark are a potent combination for rapid integration, transformation and analysis of all kinds of business data. With its data syncing and analytics capabilities, IBM Cloudant offers unique advantages as a NoSQL database for many Spark use cases. IT decision-makers, data scientists and developers need to know how and when to apply these technologies most effectively. IBM can offer a host of resources and tools to help your organization gain value from Cloudant and Spark quickly, and with minimal up-front investment.
Tags : ibm, ibm cloudant, apache spark, nosql, database
     IBM
By: IBM APAC     Published Date: Jun 07, 2017
The analytics tools you’ve come to rely on probably haven’t kept pace with this rapid change, and may now be less effective. Systems may not be nimble enough to follow customer journeys across channels and time. Different platforms in different departments can’t talk to each other, so reporting is slowed. And it’s difficult to take proactive steps when your view of the total customer experience is a little blurry. Download this white paper to find out more.
Tags : customer experience, analytics, analytics tools, customer analytics, customer experience management
     IBM APAC
By: IBM     Published Date: May 26, 2017
A significant challenge for many organizations has been enabling their analysts to find the "unknown unknown." Whether that unknown is malware lurking within the enterprise or within slight variations in fraudulent transactions, the result has been the same: enterprises continue to fall victim to cybercrime. IBM is addressing this challenge with IBM i2 Enterprise Insight Analysis. By pairing multi-dimensional visual analysis capabilities with powerful analytics tools, IBM is giving the analyst team an effective early-detection, cyberintelligence weapon for its arsenal.
Tags : security. ibm, ibm i2, cyber-intelligence, fraud, malware
     IBM
By: Alteryx, Inc.     Published Date: Apr 21, 2017
The traditional multiple-step, multi-tool legacy approach is a slow, time-consuming, and in most cases, a costly process that prevents organizations from making faster decisions with confidence. Data analysts today need an agile solution that empowers them to take charge of the entire analytics process. Download The Definitive Guide to Self-Service Data Analytics to: Understand why traditional analytic tools designed for data scientists are not ideal for data analysts like you Learn how self-service data analytics delivers the ease of use, speed, flexibility, and scalability you require See how Alteryx stacks up against traditional data prep and analytics tools
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     Alteryx, Inc.
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