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Published By: SAS     Published Date: Aug 03, 2016
Data visualization is the visual and interactive exploration and graphic representation of data of any size, type (structured and unstructured) or origin. Visualizations help people see things that were not obvious to them before. Even when data volumes are very large, patterns can be spotted quickly and easily. Visualizations convey information in a universal manner and make it simple to share ideas with others.
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best practices, data visualization, data, technology, business technology
    
SAS
Published By: SAS     Published Date: Aug 03, 2016
From midsize companies and government organizations to global banks and professional sports teams, all types of organizations are using data visualization to help make sense of their data and to comprehend information quickly. Keep reading to learn how six organizations of all types and sizes are using data visualization to improve customer relationships, fight fraud and more.
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data visualization, data, technology, fraud, security, business technology, data center
    
SAS
Published By: SAS     Published Date: Apr 20, 2017
With more data in the hands of more people Ė and easier access to easy-to-use analytics Ė conversations about data and results from data analysis are happening more often. And becoming more important. And expected. So itís not surprising that improved collaboration is one of the most common organizational goals. Letís take a look at how you can use results produced by SAS Visual Analytics with Microsoft Office applications. Youíll see how easy it is to combine sophisticated analytic visualizations and reports with Microsoftís widely used productivity tools Ė to share insights, improve collaboration and drive increased adoption of analytics and BI across your organization.
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SAS
Published 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 Ė 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 todayís 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. SASģ 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 SASģ LASRô Analytic Server, which ca
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SAS
Published By: SAS     Published Date: Apr 25, 2017
This TDWI Checklist provides seven steps your organization can follow to apply a balanced governance strategy as you expand your use of self-service visual analytics and discovery.
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SAS
Published By: SAS     Published Date: Aug 02, 2017
With more data in the hands of more people Ė and easier access to easy-to-use analytics Ė conversations about data and results from data analysis are happening more often. And becoming more important. And expected. So itís not surprising that improved collaboration is one of the most common organizational goals. Why? Because two heads, or 10 heads, are better than one. Because bouncing ideas off of others helps you consider more options. And because sharing what you know may help someone else make better decisions.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
What can you see and discover when youíre able to explore trends and make predictions with your organizationís data? If youíre a midsize home delivery business, you can discover new ways to make customers happy. If youíre a local government agency, you can predict where your resources are needed most. And if youíre a growing hospital, you can bring life-changing patient data directly to doctors and nurses. In this e-book, weíve profiled six organizations that are using self-service visual exploration to make big improvements in the way they work. From college administrators to professional sports teams, everyone makes better decisions with easy access to powerful, interactive analytics.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
A picture is worth a thousand words Ė especially when you are trying to find relationships and understand your data Ė which could include thousands or even millions of variables. To create meaningful visuals of your data, there are some basic tips and techniques you should consider. Data size and composition play an important role when selecting graphs to represent your data. This paper, filled with graphics and explanations, discusses some of the basic issues concerning data visualization and provides suggestions for addressing those issues. From there, it moves on to the topic of big data and discusses those challenges and potential solutions as well. It also includes a section on SASģ Visual Analytics, software that was created especially for quickly visualizing very large amounts of data. Autocharting and "what does it mean" balloons can help even novice users create and interact with graphics that can help them understand and derive the most value from their data.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
Itís a social world and the majority of organizations today use Microsoft Office as their chosen office productivity suite. So itís important to deliver insights where people are working most. This paper shows how you can use results produced by SAS Visual Analytics with Microsoft Office applications Ė Outlook, Excel, Word, PowerPoint and SharePoint. With plenty of how-to specifics, youíll see how easy it is to combine analytic visualizations and reports with Microsoft products to share insights, improve collaboration and drive further adoption of analytics across your organization.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Business intelligence has come a long way ? from assistance with report generation to self-service platforms for discovery and analytical insight. As technological capabilities and business aptitude with information continue to advance, the next generation of BI will be even more capable and valuable to the enterprise. To discuss todayís success factors and tomorrowís opportunities, IIA spoke with Rick Styll, Senior Manager, Visual Analytics Product Management at SAS, and Tapan Patel, Principal Product Marketing Manager at SAS.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Better health care at lower costs, for everyone Ė how do health care providers get there? Understanding the gaps in patient care, patient needs, and the geographic distribution of the patient population are important elements to consider when making decisions about improving the quality of care and reducing its costs. To effectively analyze gaps in patient care, the data needs to be in a single place or system. However, in many organizations, data is spread across a myriad of spreadsheets and database systems. Data not organized for visual exploration and coherent analysis isnít useful for decision making. Hence the need for visually appealing and scalable analytical tools to help organizations be more efficient, effective and economically successful.
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SAS
Published By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. Youíll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
Published By: SAS     Published Date: Jun 06, 2018
A multitude of ďthingsĒ generate floods of big data Ė cars, wearables, machines and appliances. Wouldnít you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven Ė data management, analytics and visualization Ė and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
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SAS
Published By: SAS     Published Date: Nov 16, 2018
Instances of fraud have become commonplace in many industries, and itís costing organizations millions of dollars annually and placing corporate brands at risk. But despite significant investments in staff and anti-fraud software, new and emerging fraud threats keep slipping through undetected. Why? Because itís too costly to keep anti-fraud software current. Paying a vendor to make software changes dramatically increases total cost of ownership. This paper discusses how SAS addresses this challenge with next-generation fraud solutions like SAS Visual Investigator, a cloud-ready investigation and incident management platform that end users can easily configure and adapt to detect new and evolving types of fraud.
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SAS
Published By: SAS     Published Date: Dec 20, 2018
Think of the self-service things you use in a day. Gas pumps. ATMs. Online apps for shopping. Theyíre convenient and easy to use. People choose what they want, when they want Ė without involving others in their minute-to-minute decisions. What if your organization could treat data discovery and analytics the same way? SAS has combined two of its visual solutions to do just that. SAS Visual Analytics and SAS Visual Statistics share the same web-based interface to provide self-service data exploration and easy-to-use interactive predictive analytics in a collaborative environment. This white paper takes a look at this convergence and outlines how these products can be used together so that everyone, even nontechnical users, can investigate data on their own, create analytical models and uncover new insights that drive competitive differentiation. Your analytics journey just got a lot easier.
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SAS
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 theyíll 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: SolarWinds     Published Date: May 18, 2015
Learn about ten priorities Enterprise Management Associates (EMA) identified as integral for every companyís monitoring strategy. Read about the challenges companies face in fully visualizing their IT infrastructure to monitor essential technology implementations, configurations, and statuses.
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it infrastructure, technology implementations, system administrators, choosing servers, app monitoring software, it management
    
SolarWinds
Published By: Sprinklr     Published Date: Feb 28, 2018
"Retail depends on social. Social depends on you. Learn best practices for building a better retail experience through social. To help kick-start your planning, we've gathered our most popular retail content in ""Social Strategies for Retail."""
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social strategies, retail, social media, consumers, digital, social media, social, physical locations, data, social conversations, visual experiences, sprinklr, consumer reviews, consumer ratings, location intelligence, social engagement, marketing strategy
    
Sprinklr
Published By: SRC,LLC     Published Date: Jun 01, 2009
To mine raw data and extract crucial insights, business decision‚Äźmakers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the business‚Äźprocess changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.
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src, enterprise, enterprise applications, convergence, compared, counted, combined, reorganized, analyzed, visualized, mapped, database, gis, geographic business intelligence, data independence, etl, csv, delimited text file, mdb (both for microsoft access, esri personal geodatabase
    
SRC,LLC
Published By: Success Factors     Published Date: Aug 19, 2014
With news of economic recovery reaching employeesí ears, compensation managers will have to face the challenge of creating compelling compensation solutions through proactively benchmarking, updating policies with the current state of the business, avoiding inefficient data analysis methods, visualizing reports and trends, and responding to the business
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success factors, engage candidates, hiring process, candidate advocates, recruiting strategies, talent, hiring managers
    
Success Factors
Published By: SunGard     Published Date: Aug 13, 2012
Today's IT organizations are faced with the daunting task of optimizing all aspects of their departments, including people, processes and technology. Optimizing and streamlining server utilization through virtualization represents one particularly exciting example. We found that one of the most popular usage models for virtualization is to drive down server procurements in development, test and production environments. When this model is followed, future server purchases are avoided; instead, new workloads are established on existing systems.
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leveraging, visualization, optimizing, processes, technology, optimizing, server utlization, storage, data management
    
SunGard
Published By: Sybase PowerBuilder     Published Date: Jan 19, 2012
Sybase PowerBuilder has remained throughout the years a bastion of application development productivity for a wide class of enterprise applications that combine database access with a highly productive graphical user interface (GUI).
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sybase, powerbuilder, data, development, applications, integrated development environments, ides, .net, windows 7, web services, visual user interface, datawindow, j2e, win32, .net frameworks, business application, wpf
    
Sybase PowerBuilder
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