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Published By: Success Factors     Published Date: Aug 19, 2014
With news of economic recovery reaching employees’ 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: AWS     Published Date: Jun 03, 2019
cBackground Fulfilling the security and compliance obligations within the AWS Shared Responsibility Model is critical as organizations shift more of their infrastructure to the cloud. Most infrastructure and application monitoring solutions haven’t caught up to meet these new requirements, forcing IT and security teams to resort to traditional monitoring strategies that don’t allow for innovation and growth. Join us for this webinar to learn how Splunk and AWS give you end-to-end visibility across your applications and help quickly detect potential security threats. Find out how Experian leveraged Splunk Cloud to deliver log data in near real-time to their operations teams for analysis and monitoring, roll out new features/updates faster, create reusable features to deploy in multiple customer environments to scale with their business, and ensure adherence to security and compliance standards.
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AWS
Published By: AWS     Published Date: Jul 24, 2019
With more data to analyze than ever before, companies are finding new ways to quickly find meaning in their data with artificial intelligence (AI). Natural Language Generation (NLG) technologies deployed on Amazon Web Services (AWS) can enable organizations to free their employees from manual data analysis and interpretation tasks. NLG transforms data into easy-to-understand, data-driven narratives with context and relevance.
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have. DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost. Join our webinar to learn: Why you don’t need to be an expert in data science to create accurate predictive models. How you can build and deploy pr
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AWS
Published By: AWS     Published Date: Oct 09, 2019
Fulfilling the security and compliance obligations within the AWS Shared Responsibility Model is critical as organizations shift more of their infrastructure to the cloud. Most infrastructure and application monitoring solutions haven’t caught up to meet these new requirements, forcing IT and security teams to resort to traditional monitoring strategies that don’t allow for innovation and growth. Join us for this webinar to learn how Splunk and AWS give you end-to-end visibility across your applications and help quickly detect potential security threats. Find out how Experian leveraged Splunk Cloud to deliver log data in near real-time to their operations teams for analysis and monitoring, roll out new features/updates faster, create reusable features to deploy in multiple customer environments to scale with their business, and ensure adherence to security and compliance standards.
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AWS
Published By: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
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incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
    
Schneider Electric
Published By: SAP     Published Date: Jan 21, 2010
The goal of this article will be to contribute to the emerging dialog on the subject of business value by extrapolating from BI lessons learned and from DecisionPath Consultings experience working with Fortune 1000 customers and Government agencies.
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sap, business intelligence, data warehousing, enterprise application, erp, scm, crm, manufacturing
    
SAP
Published By: SAP     Published Date: Mar 24, 2011
As you prepare to embark on an ERP implementation or to upgrade an existing system, you have a lot to juggle and plan. You know the horror stories of "go-lives" going bad but you aren't sure how to avoid the pitfalls. This white paper discusses at length how Utopia's formal data migration methodology reduces the risks of large systems deployments by using a tried-and-tested framework for the entire migration process, from source data analysis through post-go-live support.
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data migration management, source data analysis, data integrity, erp implementation
    
SAP
Published By: IBM     Published Date: Sep 08, 2015
Please join us for an in-depth discussion of the latest data and analytics capabilities that banks are using today to uncover new customer insight - at the individual level - to improve offers and cross sell, optimize campaigns and deliver profitable revenue. The discussion will explore how leading banks are employing predictive analysis on customer data not often analyzed - like individual transactions, interactions, behavior and social media. See how banks can move beyond traditional segmentation and enable marketing to the "Segment of One."
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banking, finance, customer engagement, analytics, insights, segmentation
    
IBM
Published By: IBM     Published Date: Apr 15, 2016
Ziff Davis Custom Whitepaper: Analytics relies on BI, Big Data, and data discovery to provide reporting, trend analysis, and what-if analysis.iii Analytics is defined as the scientific process of transforming data into insight for making better decisions.
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ibm, business analytics, business intelligence, agile, decision making, big data
    
IBM
Published By: Oracle     Published Date: May 08, 2015
A Cimdata analysis of the state of the innovation market, common issues innovators of today face, and solutions for realizing better innovation practices.
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innovation, management, efficiency, roi, product development
    
Oracle
Published By: IBM     Published Date: Jul 01, 2015
This white paper discusses how enterprise analytics systems can assist provider organizations in building sustainable healthcare systems and achieving their vision for accountable care
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healthcare analytics, data blueprint, enterprise analytics systems, sustainable healthcare systems, mission-critical analysis, integrated data model, operational analytics, information technology
    
IBM
Published By: SAS     Published Date: Mar 06, 2018
Better health care at lower costs, for everyone – 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 isn’t 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: Apr 04, 2018
This white paper, sponsored by SAS, examines the interplay between the challenges and opportunities afforded by the growing breadth of digital channels offered by financial institutions. Mobile wallets, real-time peer-to-peer (P2P), and digital account opening all require the right mix of security solutions, background analytics, and personnel to balance positive customer experience with robust fraud protection. JAVELIN independently produced this whitepaper and maintains complete independence in its data collection, findings, and analysis.
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SAS
Published By: Schneider Electric     Published Date: Jun 04, 2014
70% of data center outages are directly attributable to human error according to the Uptime Institute’s analysis of their “abnormal incident” reporting (AIR) database1. This figure highlights the critical importance of having an effective operations and maintenance (O&M) program. This paper describes unique management principles and provides a comprehensive, high-level overview of the necessary program elements for operating a mission critical facility efficiently and reliably throughout its life cycle. Practical management tips and advice are also given.
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schneider, electric, data, center, facility, operations, maintenance, management
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jun 04, 2014
Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a “total cost of ownership” (TCO) savings of 30% compared to traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.
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schneider, electric, data, center, scalable, integrated, power, cooling
    
Schneider Electric
Published By: Evergreen Systems, Inc.     Published Date: Dec 16, 2008
This comprehensive white paper applies automation and ITIL best practices to the data center and reviews current industry trends, server automation energy usage issues and a variety of optimization strategies for data center improvement.  The effects of virtualization are explored in-depth.  Includes detailed sections on increasing operational efficiency using workflow analysis, automating and optimizing server change management, reducing infrastructure complexity and developing security, disaster recovery and business continuity procedures.  Step by step instructions for developing metrics and a business case to justify data center and server automation are included.
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evergreen system, data center automation, data center automation manager, network automation, server automation, server virtualization, itil, data center optimization
    
Evergreen Systems, Inc.
Published By: Melissa Data Corp.     Published Date: Nov 18, 2008
This white paper describes the seven steps you need to develop a plan for data quality – one that scales to your growing business needs.
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melissa data, data quality, contact data verification, address verification, validate address, address verification software, address verify, address validation software
    
Melissa Data Corp.
Published By: Melissa Data Corp.     Published Date: Nov 18, 2008
What are the long-term costs of bad data? This white paper gives you the answers and tells you how to fix it.
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melissa data, data quality, contact data verification, address verification, validate address, address verification software, address verify, address validation software
    
Melissa Data Corp.
Published By: Mentor Graphics     Published Date: Mar 10, 2010
This paper provides CIMdata's perspective on Computational Fluid Dynamics (CFD) analysis; the motivations for its use, its value and future, and the importance for making CFD available to all engineers earlier in the product design/development lifecycle.
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mentor graphics, cfd, mechanical design engineer, cimdata, computational fluid dynamics, product design, development lifecycle, cad
    
Mentor Graphics
Published By: SPSS Inc.     Published Date: Mar 31, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
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spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs
    
SPSS Inc.
Published By: SPSS Inc.     Published Date: Mar 31, 2009
Learn the benefits and advantages of using text analysis to gain the most value from your surveys.
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spss, text analysis, coding survey text, categorization, pre-built categories, spss text analysis, open ended questions, project wizard
    
SPSS Inc.
Published By: Iovation     Published Date: Sep 25, 2009
Learn what new and innovative techniques and solutions can be used to combat online credit application fraud, and how you can realize a true ROI by reducing losses and increasing operational efficiency within your fraud prevention process.
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iovation, online credit applicants, fraudulent, stolen identities, financial, banking, and credit industries, fraud prevention strategies
    
Iovation
Published By: Iovation     Published Date: Oct 21, 2009
With device reputation, WagerWorks gained valuable insight into the account activity on its sites, and as a result achieved greater control over fraud and abuse. By easily identifying account-device relationships and providing data for in-depth forensic analysis, iovation ReputationManager proved to be the most important addition to the company's overall fraud prevention process
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wagerworks, iovation, fraud prevention, security, identity management, compliance, online gaming abuse
    
Iovation
Published By: SAS     Published Date: Mar 14, 2014
To reach a consumer with a message that is going to drive the most value for your organization, you have to understand what that consumer is looking for and what type of information will bring him further along the path of conversion.
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sas, marketing, marketing attribution, digital marketing, collecting data, analysis, market testing, consumer purchasing
    
SAS
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