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embedded analytics

Results 1 - 19 of 19Sort Results By: Published Date | Title | Company Name
Published By: SAS     Published Date: Jan 17, 2018
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.
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SAS
Published By: OpenText     Published Date: Mar 02, 2017
Watch this webinar with IDC supply chain experts to learn how embedded analytics can provide deeper supply chain intelligence and help you extract maximum value from data for your supply chain operations.
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idc webinar, analytics, supply chain intelligence, supply chain operations
    
OpenText
Published By: Logi Analytics     Published Date: Jan 12, 2016
This informative white paper highlights analytics tools, placing utmost importance on correctly enabling embedded analytics for competitive advantage.
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embedded analytics, analytic tools, analytics, data, collect data, reports, application integration, analytical applications, data integration
    
Logi Analytics
Published By: Logi Analytics     Published Date: Jan 12, 2016
Access this resource for the top 10 reasons why embedded analytics will bolster your existing business applications, and see real ways your operations can benefit from such insights.
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embedded analytics, analytic tools, analytics, data, collect data, reports, business analytics, analytical applications, data integration, intranets
    
Logi Analytics
Published By: Pentaho     Published Date: Aug 22, 2016
This white paper covers six guidelines product leaders should explore during their embedded analytics evaluation.
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big data, data integration, bi systems, hadoop
    
Pentaho
Published By: MuleSoft     Published Date: Sep 08, 2016
The organization as we’ve known it is barely clinging to life support. Increasingly, the calcified, creaky business systems and processes that have been embedded in organizations for decades are being swept away by more agile digital disruptors. Online and app-based companies powered by cloud, open APIs, data analytics, mobile, social, and connected to the Internet of Things are redefining markets and raising consumer expectations.
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mulesoft, forbes, api, cloud, data analytics, business analytics, business intelligence, business process management
    
MuleSoft
Published By: Birst     Published Date: Jul 16, 2013
This whitepaper first looks at the fundamental requirements that a BI solution should deliver to your company. Next, this whitepaper covers the 11 Key Questions that you should be asking of a future BI technology partner. When the BI provider can answer Yes to all of these questions, you have BI that is capable of fulfilling your analytical and reporting needs .
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
    
Birst
Published By: Birst     Published Date: Jul 16, 2013
Birst’s Salesforce Reporting and Analytics helps sales managers analyze all of the critical salesforce.com data to uncover insightful pipeline information. Combining sales data with marketing, financial and operational data to obtain a comprehensive view of the pipeline is where Birst excels.
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
    
Birst
Published By: Birst     Published Date: Jul 16, 2013
Discover seven indications that you need advanced analytics for your CRM application and why they matter. Learn about common CRM data analysis pain points and how advanced CRM analytics can solve them.
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
    
Birst
Published By: Birst     Published Date: Jul 16, 2013
Covering 23 vendors and 5 market segments, the 2013 Wisdom of Crowds Business Intelligence Market Study helps readers understand the current market landscape including the perceptions and plans of organizations adopting BI solutions, the latest user trends and technology.
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
    
Birst
Published By: Birst     Published Date: Jul 16, 2013
This BI guide has 10 real-life business scenarios that will elicit your business intelligence requirements in plain English. Key stakeholders and executive sponsors will get an easy-to-digest view of business intelligence requirements without getting into the details.
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
    
Birst
Published By: HP     Published Date: Oct 29, 2014
Tired of dealing with ID10T errors? Wouldn't life be easier if you reduced the number of ID10T errors and focused more on the critical issues? HP Service Anywhere seamlessly connects service quality, customer satisfaction and staff efficiency through its easy-to-use social collaborative capabilities. The only service desk with embedded Big Data technology, HP Service Anywhere delivers connected intelligence to IT and business users to support proactive problem solving and actionable analytics.
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itsm, itil, saas help desk, itil service desk, itil service management, itil change management, itil problem management, hp service anywhere, it management, knowledge management, cloud computing
    
HP
Published By: IBM Software     Published Date: Feb 03, 2012
Read this white paper from IBM to learn about applying predictive analytics to claims management, including the typical ROI achieved, how embedded analytics improves decision making, and technology components of a predictive analytics solution.
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ibm, security, predictive analytics, security policy, risk management, internet security, security solutions, access control, application security, authentication, security management, security policies
    
IBM Software
Published By: Netezza IBM US     Published Date: Mar 27, 2012
IBM Netezza data warehouse appliances push the limits of analytics by fusing our ground breaking data warehouse appliances with high performance, scalable analytics that can process massive data to solve complex problems orders of magnitude faster than typical solutions. IBM Netezza Analytics, IBM's embedded advanced analytics platform delivered with every appliance, enables the development and deployment of analytics to drive game changing results.
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ibm, technology, netezza, analytics, enterprise analytics, application integration, analytical applications
    
Netezza IBM US
Published By: IBM     Published Date: Aug 07, 2012
As a claims management professional, you have to deal daily with formidable - and sometimes competing - challenges: provide superior customer experience; achieve operational excellence and cost containment; and effectively manage risk. Predictive analytics can help you improve each of these three outcomes, but more importantly, it helps strike the right balance among these three objectives for each new claim received. Read this white paper from IBM to learn about applying predictive analytics to claims management, including the typical ROI achieved, how embedded analytics improves decision making, and technology components of a predictive analytics solution.
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improving, claims, management, outcomes, predictive, analytics, claims, management, professional, formidable, competing, superior, customer, experience, operational, excellence, cost, containment, risk, predictive
    
IBM
Published By: Pentaho     Published Date: Jan 16, 2015
Download if you need to make decisions about the architecture of the systems you work on. Sponsored by Pentaho.
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embedded, big data, nosql, hadoop, customer analytics, data integration, data delivery, data management, business intelligence, data center
    
Pentaho
Published By: IBM     Published Date: Apr 07, 2015
This report explores how cloud-based solution providers, such as managed service providers (MSPs) and independent software vendors (ISVs) are using an embedded approach to analytics in an effort to empower their customers and build a competitive advantage.
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ibm, cloud computing, analytics, business intelligence, distributed computing, mobile computing, web service management
    
IBM
Published By: SAS     Published Date: Jun 05, 2017
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.
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SAS
Published By: Pega     Published Date: Sep 11, 2015
The Magic Quadrant reflects the substantial difference among software suppliers' customer support applications. Great diligence must be shown by IT leaders working on customer service projects. Weaknesses remain in providing cross-channel persistence of experience and embedded real-time analytics.
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Pega
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