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Published By: SAP     Published Date: Mar 13, 2009
Read this Whitepaper to learn about the practices and technology related to business process management (BPM). This Whitepaper includes explanation of basic concepts, examines the transformational effect on the enterprise, and analyzes the value that BPM can create.
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sap, business transformation, enterprise applications, market leadership, business value, roi, roit, bpm
    
SAP
Published By: SAP     Published Date: Jun 27, 2009
As corporations become more dependent on their ERP systems, they struggle to strike the right balance between regularly updating the software and minimizing cost and disruption to the business. This Report offers advice on how to develop and communicate a practical upgrade strategy and then build an effective process for maintaining your ERP asset.
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sap, business intelligence, erp, sme, shipping, transportation, enterprise applications, enterprise
    
SAP
Published By: SAP     Published Date: Sep 07, 2010
Download the report to find seven tenets of 21st century merchandising, along with analysis of the business drivers, opportunities, and organizational constraints surrounding merchandise planning and execution.
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mechandising, sap, merchandise, erp, enterprise resource planning, gma, rsr
    
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: SAP     Published Date: Apr 13, 2011
To manage performance efficiently, midsize companies need a unified planning, budgeting, and consolidation solution. The SAP® BusinessObjectsT Edge Planning and Consolidation application streamlines the planning process and produces management reports that instill confidence and reduce business risk.
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management report, business risk, business planning
    
SAP
Published By: SAP     Published Date: Jun 30, 2011
This paper aims to discuss the various capability acquisition and it solution deployment options and provide a perspective on how to evaluate the suitability of those options, given an enterprise's situation, and to get the best outcome.
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sap, competitive positioning, solution landscape, risk tolerance, shared service center, bpo, bpu, application performance
    
SAP
Published By: SAP     Published Date: Nov 22, 2011
This Aberdeen report demonstrates how highly effective financial planning, budgeting and forecasting enables good decision making, even in periods of major change. Dynamic financial planning enabled through five key elements -- process, organisation, knowledge management, technology and performance enhancement -- can give business leaders the tools to take prompt action and emerge even stronger.
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aberdeen, analyst insight, business, budget, forecast, financial planning, business technology
    
SAP
Published By: SAP     Published Date: May 11, 2012
The increasing possibilities that come from deploying mobile solutions in the workplace are now counter balanced by an exponentially complex ecosystem of options that can make navigating the corporate mobile landscape challenging - and risky.
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mobile device management, mobile application, enterprise mobility management, mobile asset management, mobile inventory management, mobile operations management, wireless expense management, mobile application management
    
SAP
Published By: SAP     Published Date: Nov 04, 2015
Download this whitepaper to discover how global companies are using innovative technologies such as beacons, dynamic pricing and adaptive analytics to flourish in the modern-day, next-generation retail world. Learn what they believe they’re doing well and where they’re struggling as they adapt to today’s rapidly evolving marketplace. These insights can help your business thrive in an increasingly disruptive retail landscape.
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consumer behaviors, sap, dynamic pricing, beacons, adaptive analytics, marketplace, fulfillment, customer experience
    
SAP
Published By: SAP     Published Date: Nov 06, 2015
This report, based on a survey of over 200 organizations, illustrates that cloud users are looking for a new generation of cloud solutions which are simple, highly collaborative, and enable high performing Financial Planning and Analysis (FP&A) processes featuring accuracy and effectiveness.
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cloud financial planning and analysis, fp&a, cloud users, cloud solutions, finance
    
SAP
Published By: SAP     Published Date: Nov 16, 2015
This report, based on a survey of over 200 organizations, illustrates that cloud users are looking for a new generation of cloud solutions which are simple, highly collaborative, and enable high performing Financial Planning and Analysis (FP&A) processes featuring accuracy and effectiveness.
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SAP
Published By: SAP     Published Date: Dec 04, 2015
Download this whitepaper to see how advanced technologies such as big data, cloud computing, mobile devices, and enterprise access to in-memory platforms, predictive analytics, and planning software can help CFOs make better and more sophisticated use of data, influence decisions, and take practical, timely action.
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finance function, finance, cfo, big data, cloud computing, mobile, in-memory platforms, predictive analytics
    
SAP
Published By: SAP     Published Date: Dec 04, 2015
Supporting the needs of information workers requires the delivery of the latest, relevant information at the point of decision. Download this IDC Report to learn how to enable finance in a digital enterprise to plan, monitor, and predict.
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digital enterprise, planning, monitoring, predicting, information industries, information workiers
    
SAP
Published By: SAP     Published Date: Mar 22, 2016
In the new digital economy, competition, consumer engagement, and operational effectiveness are fundamentally changing, and accelerating. New competitors are redefining the landscape at unprecedented rates. Building and keeping trust mean delivering exceptional brand experiences, every time, via agile processes that balance consumer needs with cost to serve. One size does not fit all. Engaging consumers and capitalizing on new opportunities depend on the capacity to identify, act on, and deliver high-value experiences and outcomes like joy, confidence, security, and control, all in the span of a moment, exactly where and when a consumer or business need arises. Miss the moment, miss the opportunity.
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digital economy, value creation, sap, consumer engagement, business technology
    
SAP
Published By: SAP     Published Date: Mar 02, 2017
Deploying a performance management system is a powerful catalyst for increasing employee and organizational performance. If not handled properly, however, organizations risk creating unnecessary administrative work which can diminish some of the benefits. A key challenge is to balance the tension between creating a fair and consistent evaluation process across the organization and measuring employee performance based on individual needs. What best practices should you follow to help strike the right balance? How have other leading organizations designed effective review forms and processes?
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SAP
Published By: SAP Concur     Published Date: Aug 07, 2019
"No organization wants to maintain the status quo, but many lack a plan for managing expansion. Planning for growth is essential to keeping everyone focused on the ultimate goal — be it expanding into new markets, introducing new products or broadening the customer base. The role of the CFO is to ensure that the company manages cash flow and expenses to position the company for intelligent expansion. To effectively plan for the future, the finance team needs modern tools and strategies to control costs and efficiently manage AP processes and T&E policies as they add headcount and crosses borders in search of opportunities."
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SAP Concur
Published By: SAP SME     Published Date: Nov 02, 2017
Este reporte de SCM World, destaca cómo los actuales líderes omnicanal planifican aún más inversiones para ampliar la brecha entre sus capacidades y las de aquellos con procesos y/o tecnología débiles. Además, menciona que no solo se comprometieron con la cadena de suministro centrada en el cliente, sino que además lograron avances.
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SAP SME
Published By: SAS     Published Date: Feb 09, 2016
This report from Chartis provides an independent evaluation and description of leading practices from SAS as well as its competitive position in the market using the Chartis RiskTech Quadrant® for Enterprise Stress Testing Systems. This report also includes a brief look at: • The demand side trends outlining key business and regulatory challenges. • The supply side focusing on the technology landscape for enterprise stress testing. The RiskTech Quadrant® uses a comprehensive methodology of in-depth independent research and a clear scoring system to explain which technology solutions meet an organization’s needs. Chartis considers SAS to be one of the leading vendors of enterprise stress testing systems for the financial services industry.
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sas, chartis, enterprise stress testing system, best practices, it management, knowledge management, data management, business technology
    
SAS
Published By: SAS     Published Date: May 17, 2016
This report provides a guide to some of the opportunities that are available for using machine learning in business, and how to overcome some of the key challenges of incorporating machine learning into an analytics strategy. We will discuss the momentum of machine learning in the current analytics landscape, the growing number of modern applications for machine learning, as well as the organizational and technological challenges businesses face when adopting machine learning. We will also look at how two specific organizations are exploiting the opportunities and overcoming the challenges of machine learning as they’ve embarked on their own analytic evolution.
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oreilly, evolution of analytics, sas, machine learning, analytics landscape, networking, it management, data management
    
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: Jun 05, 2017
"The connected customer is an individual who is intimately connected to the data, outcomes, decisions and staff associated with any relationship to an organization.  To create personalized experiences, companies across all industries must pursue a more connected relationship with their customers through technology and processes focused on delivering relevant personalized experiences whenever possible. In this report, Blue Hill explores the key traits associated with supporting the connected customer through the internet of things, and provides guidance on why the internet of things will be essential across the general business landscape. "
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SAS
Published By: SAS     Published Date: Jun 05, 2017
"As more products and machines become connected, and analytical capabilities grow, new applications for the Internet of Things (IoT) will emerge. So too will manufacturers change how they make business decisions. This IndustryWeek Special Research Report gauges the current and planned usage of IoT technology and analytics by US manufacturers. It also explores how manufacturers can develop a specific IoT strategy and apply analytics more widely across their organizations to drive revenue, cut costs and innovate. "
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SAS
Published By: SAS     Published Date: Oct 18, 2017
With all of the attention on machine learning, many are seeking a better understanding of this hot topic and the benefits that it could provide to their organizations. Machine learning – as well as deep learning, natural language processing and cognitive computing – are driving innovations in identifying images, personalizing marketing campaigns, genomics, and navigating the self-driving car. This e-book provides a primer on these innovative techniques as well as 10 best practices and a checklist for machine learning readiness.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
The Connected Customer is an individual who is intimately connected to the data, outcomes, decisions, and staff associated with any relationship to an organization. This intensely personal connection is not just a matter of the most recent transaction, but represents a combination of connected data, connected analytics, and collaborative decisions associated with improving the customer’s relationship with the organization over time. In this report, Blue Hill explores the key traits associated with supporting the Connected Customer through the Internet of Things, and provides guidance on why the Internet of Things will be essential across the general business landscape.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
A picture is worth a thousand words – especially when you are trying to find relationships and understand your data – 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 SAS® 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
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