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Published By: Beqom     Published Date: Dec 05, 2018
Download this free e-guide to gain an understanding of predictive analytics concepts, how to align your data sources to unlock the value of the data in your organization, analyze the correlations, and reap the benefits of analytics in optimizing sales performance.
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salesforce compensation management, commission plans sales teams, compensation management, compensation management sales teams, compensation plans sales teams, compensation sales teams, deferred compensation, deferred compensation management
    
Beqom
Published By: Salesforce     Published Date: Nov 09, 2018
Field service managers are challenged to optimize resources and manage costs while delighting customers. A modern platform that provides field staff with a robust set of tools and capabilities (including offline), intelligent analytics, and the broader capabilities of the Salesforce platform (such as Einstein and IoT cloud) gave FSL customers the ability to not just cut costs but optimize their field service operations. All early adopters experienced productivity and efficiency savings; Nucleus expects that as they gain more maturity with FSL they will find clear correlations with increased customer satisfaction and increased field-service related revenues as well.
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Salesforce
Published By: SAS     Published Date: Aug 28, 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. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The reportís survey quantifies user trends and readiness f
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SAS
Published 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
Published By: SAS     Published Date: Oct 18, 2017
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. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The reportís survey quantifies user trends and readiness f
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SAS
Published By: SAP     Published Date: May 03, 2016
Indiana's Management and Performance Hub (MPH) program has developed a comprehensive, enterprise-wide, data-driven management system to help gain insight into the drug abuse crisis. Indiana MPH staff is tackling the issue using crime lab drug data from across the state to see new correlations in drug use over time and find insight into crime.
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sap, indiana, government, analytics, predictive analytics, hana, digital
    
SAP
Published By: AlienVault     Published Date: Aug 11, 2015
This report talks about Gartner's Magic Quadrant for SIEM in 2015
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security information, event management, magic quadrant, gartner report, siem technology, event data, correlations, user activity monitoring
    
AlienVault
Published By: SAP     Published Date: May 18, 2014
Forrester conducted in-depth surveys with 330 global BI decision-makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and big data tools. In this paper, you will learn what separates the leading companies from the rest when it comes to exploiting innovative technologies in BI and analytics, and what steps you can take to either stay a leader or join their ranks.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: VMS     Published Date: Jul 16, 2009
This paper analyzes case studies aimed to determine how changes in public discussion (unpaid media) correlate to changes in business outcomes. It focuses on analyzing tonality and message, and how they modify the effect of pure media coverage volume in correlations against outcomes.
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vms, media coverage, public relations, business outcomes, product sales, prescription volumes, medical procedure codes, customer preference
    
VMS
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