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analytics visualization

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By: SAS     Published Date: Apr 20, 2017
With more data in the hands of more people – and easier access to easy-to-use analytics – conversations about data and results from data analysis are happening more often. And becoming more important. And expected. So it’s not surprising that improved collaboration is one of the most common organizational goals. Let’s take a look at how you can use results produced by SAS Visual Analytics with Microsoft Office applications. You’ll see how easy it is to combine sophisticated analytic visualizations and reports with Microsoft’s widely used productivity tools – to share insights, improve collaboration and drive increased adoption of analytics and BI across your organization.
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     SAS
By: SAS     Published Date: Apr 25, 2017
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis. The heart and soul of SAS Visual Analytics is the SAS® LASR™ Analytic Server, which ca
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     SAS
By: Pentaho     Published Date: Nov 04, 2015
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
Tags : pentaho, analytics, platforms, hadoop, big data, predictive analytics
     Pentaho
By: SAS     Published Date: Nov 04, 2015
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
Tags : data visualization, sas, big data, visual analytics, data exploration, analysis
     SAS
By: TreasureData     Published Date: May 14, 2012
Treasure Data is going to change the way that you think about Big Data and Cloud Data Warehousing. We'd like to get your input on how you see Big Data and Cloud Data Warehousing. Please take our 10 question survey and give us your input.
Tags : treasuredata, data warehousing, cloud, big data, solution, data-driven, tables, queries
     TreasureData
By: Qlik     Published Date: Oct 13, 2015
Read more to learn how modern companies are adjusting to the BYO (Bring Your Own) data trend by combining external data with internal content.
Tags : qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization
     Qlik
By: Qlik     Published Date: Oct 13, 2015
Read more to learn how IT ensures that they are empowering their users with the tools they need to naturally explore data, ask the next question, and uncover the insight they need to make informed decisions.
Tags : qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization
     Qlik
By: IBM     Published Date: Jan 11, 2017
Download this eBook to learn: - How the use of advanced analytics generates powerful insights to stay ahead of evolving cyber threats - Why Cyber Threat Analysis is the most effective defensive strategy - How analysts benefit from the use of sophisticated data visualization to identify hidden threat relationships and patterns - Why shifting from attack prevention to mitigation is a more practical goal for commercial organizations
Tags : ibm, analytics, public sector, security, cyber threat, cyber threat analysis, risk
     IBM
By: Pentaho     Published Date: Apr 28, 2016
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
Tags : pentaho, best practices, hadoop, next generation analytics, platforms, infrastructure, data, analytics in organizations
     Pentaho
By: Enterprise Management Associates     Published Date: Aug 25, 2015
This webinar talks about various issues organization's deal with on a daily basis and how Hadoop can offer solutions.
Tags : ema, hadoop, big data analytics, predictive insights, data lake architecture, hadoop adoption, enterprise management, business intelligence
     Enterprise Management Associates
By: SAS     Published Date: Mar 14, 2014
This Q&A with Tom Davenport, Director of Research for the International Institute for Analytics (IIA), will help you understand how analytics is evolving, where you need to go, and how to get there.
Tags : sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
     SAS
By: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
Tags : visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence
     Datawatch
By: IBM     Published Date: Jul 27, 2015
Communications service providers have much to gain from deploying big data analytics capabilities that enable smarter campaigns.
Tags : ibm advanced analytics platform, big data analytics, communications service providers, analytics software, predictive analytics, analytics visualization, historical analysis, content management systems
     IBM
By: IBM     Published Date: Sep 27, 2013
Business users need a simple but powerful way to navigate through data and find the insights to make timely, critical business decisions. Unfortunately, many users have become frustrated at their inability to quickly access and analyze the information they require. This data typically includes a combination of personal and corporate data locked in various enterprise systems. It exists in different formats and can be hard to analyze, change or share — making it difficult for people to get fast answers to business questions.
Tags : ibm, ibm business analytics, business analytics solutions, ibm cognos insight, analytics, data analysis, visualization
     IBM
By: IBM     Published Date: Sep 27, 2013
Teams of engineers and statisticians spend their days immersed in seas of data from various sources. However, it isn't just the largest of organizations that can benefit from analytics and data-driven decision-making. Businesses of all sizes need to leverage the new currency of data and information.
Tags : ibm, ibm business analytics solutions, business analytics, analytics solutions, midsize businesses, financial reporting, business intelligence, desktop data visualizations
     IBM
By: IBM     Published Date: Oct 10, 2013
With modern IT infrastructures an intricate web of interdependencies, uncovering the total IT environment, including the logical relationships between physical, virtual and cloud elements, has never been more important—or more complex. This white paper discusses how IBM’s analytics for logical dependency mapping, ALDM, reengineers the IT discovery process to provide a more complete and accurate view of the IT infrastructure.
Tags : reengineering, it discovery, analytics, visualization, interdependencies, it environment, logic, logical relationships
     IBM
By: Cisco     Published Date: Dec 21, 2016
Self-service analytics implies that users design and develop their own reports and do their own data  analysis with minimal support by IT. Most recently, due to the availability of tools, such as those from Qlik,  Spotfire, and Tableau, self-service analytics has become immensely popular. Besides powerful analytical  and visualization capabilities, they all support functionality for accessing and integrating data sources.  With respect to this aspect of data integration four phases can be identified in the relatively short history  of self-service analytics. This whitepaper describes these four phases in detail and shows how the tools  Cisco Data Preparation (CDP) and Cisco Information Server (CIS) for data virtualization can strengthen and  enrich the self-service data integration capabilities of tools for reporting and analytics.  
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     Cisco
By: Oracle     Published Date: Nov 14, 2016
Démo Data Visualization dans le domaine de la vente par Sylvain Fortier, Business Intelligence & Big Data Analytics Principal Sales Consultant d'Oracle France durant la matinée Oracle Cloud Café autour du thème de la Data Visualization et Analytics.
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     Oracle
By: Oracle     Published Date: Nov 14, 2016
Démo Data Visualization dans le domaine de la vente par Sylvain Fortier, Business Intelligence & Big Data Analytics Principal Sales Consultant d'Oracle France durant la matinée Oracle Cloud Café autour du thème de la Data Visualization et Analytics.
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     Oracle
By: IBM     Published Date: May 19, 2015
Traditionally, business intelligence (BI) has looked backward at what has happened. In today’s marketplace, enterprises need to look ahead. From predictive to prescriptive intelligence, TDWI and IBM look at what businesses need most.
Tags : business intelligence, prescriptive intelligence, predictive analytics, immersive user experience, analytic technology, informative visualization
     IBM
By: FICO     Published Date: Sep 02, 2016
The unifying concept that defines FICO and its substantial technology and solutions stack is Decision Management. This term has not yet become mainstream - but it will. All business analytics activities are performed with the single aim of improving the accuracy and efficiency of business decisions. This applies to business intelligence, data visualization, data mining, business rules management, and many other forms of analysis. Unifying these activities under a single discipline means that currently fragmented analytical efforts can be combined into a single whole, with benefits that will be discussed in this review.
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     FICO
By: Qlik     Published Date: Oct 13, 2015
Business intelligence and analytics leaders must re-evaluate and evolve the capabilities of their teams to ensure that they can leverage bimodal work practices to engage, communicate and adapt to new developments in business analytics, including diagnostic and predictive analytics.
Tags : qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization
     Qlik
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