analytics

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Published By: SAS     Published Date: Apr 20, 2015
This report offers recommendations and best practices for implementing analytics in an organization. It provides in-depth analysis of current strategies and future trends for next-generation analytics.
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SAS
Published By: SAS     Published Date: Jul 14, 2015
With sophisticated analytics, government leaders can pinpoint the underlying value in all their data. They can bring it together in a unified fashion and see connections across agencies to better serve citizens.
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anayltics, data analysis, management, knowledge pooling, data infrastructure
    
SAS
Published By: SAS     Published Date: Oct 22, 2015
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics. To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
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SAS
Published By: SAS     Published Date: Nov 04, 2015
In a panel discussion at the 12th annual SAS Health Analytics Executive Forum in May 2015, leaders from Dignity Health, Horizon Blue Cross Blue Shield of New Jersey, Janssen Pharmaceuticals and SAS shared what they have done to prove the value of analytics to their business leaders and what has worked for them as they developed an analytic culture in their organizations and put analytic insights to work.
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sas, healthcare, healthcare models, episode analytics, analytics, data management
    
SAS
Published 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 todays 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.
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data visualization, sas, big data, visual analytics, data exploration, analysis, networking, knowledge management, data management
    
SAS
Published By: SAS     Published Date: Nov 04, 2015
This paper is divided into two parts. The first part provides some background and a comparison of the types of episode analytics. Part two explores the real-world experiences of payers and providers in using episode analytics for payment bundling and other purposes. Finally, we offer some recommendations on how to use episode analytics to reduce variations and manage contracts that involve financial risk.
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sas, healthcare, healthcare models, episode analytics, payment bundling, data management, human resource technology
    
SAS
Published By: HPE     Published Date: Mar 23, 2015
With new technologies, new opportunities often emerge, especially in business. The advent of innovations, such as social media and mobile devices, is changing the ways businesses interact with customers and the ways in which customers desire to be engaged. Opportunities arising from the benefits of salesforce automation, business intelligence (BI), and customer relationship management (CRM) applications are providing new levels of insight, helping businesses acquire customers more efficiently and retain those customers longer. As a direct result, organizations that invest in better understanding potential customers are likely to see higher returns than those organizations that possess a more limited understanding of their customer base. Seeking the competitive advantage resulting from improved customer focus, IT organizations have increased investment in business intelligence and analytics and the underlying infrastructure to support those applications.
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HPE
Published By: Caristix     Published Date: May 03, 2013
Diagnosoft selected Caristix software and consulting. Consulting work included a hands-on workshop to co-design the interface deployment workflows that Diagnosoft customer engagements would require.
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clinical analytics, interoperability, software, consulting, interface deployment, healthcare, medical, application integration, application performance management, best practices, business activity monitoring, business analytics, business integration, business intelligence, enterprise software
    
Caristix
Published By: Dell EMC     Published Date: May 10, 2017
While just about everyone is writing about how IT and the businesses it serves need to be transformed, the actual industry answers to both digital and IT transformation remain unclear at best. Are transformational initiatives all about analytics and big data? Or are they about the move to cloud in all its varieties? Support for mobile? More agile ways of working and developing software? Or are they actually all about crafting teams to promote more proactive dialog between the business and IT? The truth is, of course, digital and IT transformation depend on all of the above and more. They also depend on a resilient infrastructure thats easily adapted to changing business priorities without requiring long hours spent on maintenance, updates, and addressing problems of service availability. But making all this work clearly and cohesively is far beyond the purview of almost any solution todaywhether from a software management perspective or from a hardware infrastructure perspective.
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Dell EMC
Published By: FICO     Published Date: Aug 27, 2012
In this white paper, FICO describes how to use business rules management systems as a core technology to improve revenue while controlling costs.
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cost control, underwriting, insurance, pos, point of sale, revenue generation, analytics, decision management
    
FICO
Published By: SAP     Published Date: May 22, 2012
Is turning data into information still a challenge for your company? If so, you are not alone. View this on-demand Webinar with SAP and HP to learn how you can manage ever-increasing amounts of data; provide this data to business users to make critical decisions in a timely fashion; and enable true self-service business intelligence (BI) for business users.
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sap, business solutions, business technology, enterprise, technology, enterprise analytics, application integration, application performance management, best practices, business analytics
    
SAP
Published By: SAP     Published Date: May 22, 2012
Business intelligence technology must meet the demands of tomorrow's "digital natives"; integrate seamlessly with cloud data and platforms; alignpeople, conversations, and data with business strategy; and make the most of the infrastructures we have today.
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sap, business intelligence, business analytics, technology, application integration
    
SAP
Published By: Akamai Technologies     Published Date: Sep 11, 2017
Malicious botnets present multiple challenges to enterprises some threaten security, and others merely impact performance or web analytics. A growing concern in the bot environment is the practice of credential stuffing, which capitalizes on both a bots ability to automate repeat attempts and the growing number of online accounts held by a single user. As bot technologies have evolved, so have their methods of evading detection. This report explains how the credential stuffing exploit challenges typical bot management strategies, and calls for a more comprehensive approach.
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web analytics, frost & sullivan, bot management, botnet
    
Akamai Technologies
Published By: IBM APAC     Published Date: Jul 09, 2017
Organizations today collect a tremendous amount of data and are bolstering their analytics capabilities to generate new, data-driven insights from this expanding resource. To make the most of growing data volumes, they need to provide rapid access to data across the enterprise. At the same time, they need efficient and workable ways to store and manage data over the long term. A governed data lake approach offers an opportunity to manage these challenges. Download this white paper to find out more.
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data lake, big data, analytics
    
IBM APAC
Published By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? Todays organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes. This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Defining the Data Lake Big data is an idea as much as a particular methodology or technology, yet its an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
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Amazon Web Services
Published By: Iron Mountain     Published Date: Aug 28, 2014
Download this analytics report to learn how your healthcare organization can develop a successful strategy to manage data.
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iron mountain, healthcare it, health it, data management, healthcare data management, hit, meaniingful use, icd-10, information security, information management
    
Iron Mountain
Published By: Adobe     Published Date: Sep 28, 2010
This IDC Government Insights White Paper discusses government's new efforts to achieve its goals regarding service delivery to citizens, businesses, and other government agencies.
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adobe, government enterprise, service delivery, customer interaction, data sharing, intelligent application, business analytics, business process management, business intelligence, business management, business process automation, data integration, content delivery, data warehousing
    
Adobe
Published By: Infor     Published Date: Jan 03, 2011
You need a path through this madness.In this recorded webicast, Steve Muran will take you through a case study of how he methodically built and managed a cross-enterprise, multichannel program that deepened the customer wallet share. Steve will discuss the why, where, and how his lead generation capabilities made customer cross-sell, up-sell, and retention easier by highlighting the critical importance of customer data and analytics.
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infor, cross-enterprise, lead generation, retention, customer data and analytics, social media, business analytics, customer interaction service, customer relationship management, customer satisfaction, customer service, enterprise software, sales & marketing software, database development
    
Infor
Published By: Infor     Published Date: Jan 03, 2011
For CDS Global, Infor CRM Epiphany Interactive Advisor is being used to create real-time customer profiles based on historical, personal, and contextual data. Using a combination of real-time analytics and business rules, the data is analyzed to identify the highest-impact offers in real time so that the CSR can make an attractive offer during the call.
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infor, cds global, interaction advisor, real-time customer profile, analytics and business rules, crm solution, customer relationship management, business analytics, call center management, call center software, customer interaction service, customer satisfaction, customer service
    
Infor
Published By: Infor     Published Date: Jan 06, 2011
For CDS Global, Infor CRM Epiphany Interactive Advisor is being used to create real-time customer profiles based on historical, personal, and contextual data. Using a combination of real-time analytics and business rules, the data is analyzed to identify the highest-impact offers in real time so that the CSR can make an attractive offer during the call.
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infor, cds global, interaction advisor, real-time customer profile, analytics and business rules, crm solution, customer relationship management
    
Infor
Published By: Infor     Published Date: Jan 06, 2011
You need a path through this madness.In this recorded webicast, Steve Muran will take you through a case study of how he methodically built and managed a cross-enterprise, multichannel program that deepened the customer wallet share. Steve will discuss the why, where, and how his lead generation capabilities made customer cross-sell, up-sell, and retention easier by highlighting the critical importance of customer data and analytics.
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infor, cross-enterprise, lead generation, retention, customer data and analytics, social media
    
Infor
Published By: Aberdeen Group     Published Date: Jun 02, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state, governmental, decisions, data management
    
Aberdeen Group
Published 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.
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treasuredata, data warehousing, cloud, big data, solution, data-driven, tables, queries, analytics, infrastructure, storage, billing, visualization, data management, virtualization, cloud computing, design and facilities
    
TreasureData
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