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Published By: SAP     Published Date: Jun 04, 2015
Tracking and assessing workforce-diversity programs shouldn’t be hard work, but it should be a top priority. Because businesses benefit when they employ highly engaged workers with different backgrounds, HR leaders and hiring professionals contribute directly to a company’s success when diversity programs meet their goals. How can you create or transition to an effective tracking-and-assessment method? In this white paper you will find fifteen metrics that are a great place to start.
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SAP
Published By: SAP     Published Date: Jun 04, 2015
Not all turnover is created equal: there’s healthy turnover and there’s alarming turnover. Are the employees who are leaving your organization for other opportunities the same ones who are driving the critical strategies and projects across your organization and moving the business forward, the innovators, and the effective customer relations managers? In this white paper you will see why it is critical for organizations to dig deeper and get a clear understanding of who’s leaving and who’s staying.
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SAP
Published By: SAP     Published Date: Jun 12, 2015
We found that many companies lack the structure, strategy, culture, solutions and resources to manage employees effectively. Download this executive summary and learn that to succeed, they must address the role and relevance of people strategy; changing demographics and evolving definitions of work; leadership ability and cultivation; employee wants and needs; and talent development.
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SAP
Published By: SAP     Published Date: Feb 26, 2016
Work has evolved, so performance management should follow. SuccessFactors partnered with PwC to develop a paper that helps companies assess their PM programs and make PM more effective. Rethinking your performance management program addresses: • The critical importance of having separate but integrated processes to accurately assess past performance and to provide continuous coaching for the future • Techniques for embedding user-friendly social and mobile performance tools that reflect the real rhythm of the business • The pivotal role of HR to evaluate and evolve PM processes Our proven tips on how to adjust and nurture PM processes are food for thought as many managers and employees focus on the business of making 2014 a successful year.
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sap, pwc, performance management
    
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
    
SAP
Published By: SAP     Published Date: Feb 03, 2017
As the global business world shifts to all digital, real-time operations, the legacy two-tier ERP architecture so many businesses have relied on to bridge headquarters with subsidiaries can no longer compete effectively. A simple and comprehensive answer exists in SAP S/4HANA. Available in cloud and on-premise, SAP S/4HANA gives organizations the ability to utilize the same product family across a multi-tier deployment.
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SAP
Published By: SAP     Published Date: Mar 09, 2017
Small and midsize retailers around the world are seeing their businesses transform in a variety of ways. These firms, typically with fewer than 1,000 employees, have been transforming themselves as customers seek new types of engagement and as suppliers expect higher levels of efficiency and effectiveness. New business models and new competitors are changing the way retailers do business. Rather than simply react to new threats, successful retailers are leveraging technology in new ways to sharpen business practices, improve agility, and better serve customers while strengthening the role of retailers in the supply chain. Through digital transformation including the effective engagement of the internet of things (IoT) to track inventory, the opportunity to maintain and gain competitive advantage can be significant.
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SAP
Published By: SAP Concur     Published Date: Aug 07, 2019
"Reworking an outdated invoice policy can be intimidating. Get a head start with this whitepaper, produced by Proformative and sponsored by SAP Concur. You'll get 9 tips for building an invoice policy and a template to help you create a vendor invoice and will take the pain out of accounts payable management. Once created and enforced, an effective accounts payable policy will: Reduce time spent on approving invoices Better store and retain important documents Make pulling documents for research, audit or litigation easier"
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SAP Concur
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 Concur     Published Date: Aug 07, 2019
"Spend Management is the planning, process, and system of managing business dollars to positively affect the production of products and services. Spend management usualy includes processes relating to procurement, supply chain management, and outsourcing. Optimal spend management relies on the ability to understand and control company spend through automation tools and analytics. Steps to Strategic Spend Management All CFOs are concerned with how their company is spending its money. However, this is of particular concern for CFOs of small to mid-size businesses who need to manage their cash flow effectively to survive. To survive and maintain a competitive advantage, companies need to be strategic in their spend management and identify ways to invest wisely to meet current demands and fuel growth for the future. Expense and invoice management can no longer be viewed as simply a cost center. Download this white paper to explore five initiatives that can help guide your company towa
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SAP Concur
Published By: SAP Concur     Published Date: Aug 07, 2019
"In the ever-evolving business landscape, managing company spend has become progressively more challenging for financial decision makers. Increasing mobile work forces, and an expanding number of vendors and invoices mean more transactions to track and manage. Automating expense, travel and invoicing is a sure way to gain a precise picture of how money is flowing through an organization. Firms of all sizes, geographies, and industries have found that automation is a simple and effective method for improving efficiencies, reducing operating expenditures, and boosting employee satisfaction. Download the report today to learn more about the benefits of automated solutions."
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SAP Concur
Published By: SAP Inc.     Published Date: Jun 16, 2009
This white paper presents IDC’s framework for implementing operational excellence (op ex) and helps the reader move toward an effective op ex implementation while avoiding potential pitfalls.
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sap, operational excellence, op ex, internal assessment, competitive benchmarking, resource prioritization
    
SAP Inc.
Published By: SAP Inc.     Published Date: Jul 28, 2009
While historically consumer packaged goods (CPG) organizations have made significant investments in data collection and integration, much of the data stored in their IT infrastructures has not been analyzed or deployed to further the firms' business performance.  Those enterprises that learn to effectively harness the vast quantities of information generated by their IT systems - both within and outside the corporation - will enjoy a substantial competitive advantage.
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sap, business intelligence, business processes, consumer packaged goods, integrating cross-enterprise processes
    
SAP Inc.
Published By: SAP Inc.     Published Date: Jul 28, 2009
Hospitals from across the world are facing increased pressure to improve operations from multiple directions. Legal requirements, an aging population in many developed countries, and an ever-increasing need to be service-oriented are forcing hospitals to do more with less. Those that learn to effectively harness the information generated by their IT systems will enjoy substantial productivity improvements.
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sap, business intelligence, healthcare sector, healthcare industry, bi applications, bi tools, inter-departmental processes
    
SAP Inc.
Published By: SAS     Published Date: Sep 13, 2013
Effective, Unified Data Management Strategies Depend on it and Business users Working Together.
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sas, data management, unified approach, unified data management, business intelligence, business analytics software
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
The solution to operationalizing analytic s involves the effective combination of a Decision Management approach with a robust, modern analytic technology platform. This paper discusses both how to use a focus on decisions to ensure the right problem gets solved and what such an analytic technology platform looks like.
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sas, predictive analytics, technology platform, solution, operationalizing, production systems
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
Stop to think about how - and how often - your business interacts with customers. Most organizations believe that only a small fraction of data on interactions generated are effectively put to use. Why is that? Check out this whitepaper to see.
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sas, voc, voice of customer, visual text analytics, best practices, customer voice, sound of sentiment, text data
    
SAS
Published By: SAS     Published Date: Sep 30, 2014
Stop to think about how – and how often – your business interacts with customers. Every day, with each interaction, data is created. What percentage of the data generated by these interactions are you using? There are so many channels for interaction, like social media, call centers, sales staff, help and support resources, marketing and campaigns. Typically, organizations believe that they are using only a small fraction of it effectively – at best, upwards of 10 percent of all the available data. Why? One reason relates to the difficulties in collecting all this data. This limitation is beginning to wane as commodity hardware becomes increasingly popular for big data storage. But another major inhibitor to examining all customer data has been the inability to examine millions, or even billions, of data points that constitute the customer picture. And much of this is now in the form of unstructured text inputs.
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sas, text analysis visualization, voice of the customer, unstructured text inputs
    
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: 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 report’s survey quantifies user trends and readiness f
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SAS
Published By: SAS     Published Date: Oct 18, 2017
With enhanced regulatory pressure, banks must continuously evaluate their risks. To meet these demands, the AML industry has turned to analytical/statistical methodologies to reduce false-positive alerts, increase monitoring coverage and reduce the rapidly escalating financial cost of maintaining their AML programs. An effective AML transaction monitoring strategy includes segmenting the customer base by analyzing customer activity and risk characteristics in order to monitor them more effectively. This paper explains how to blend both quantitative and qualitative methods to tune scenarios to identify the activity that poses the most risk to the bank.
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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: May 24, 2018
Information on artificial intelligence (AI) is flooding the market, media and social channels. Without doubt, it’s certainly a topic worth the attention. But, it can be difficult to sift through market hype and grandiose promises to understand exactly how AI can be applied in practical and reliable solutions. Like most technological advances, incorporating new technology into business processes requires significant leadership and effective direction that all stakeholders can easily understand. Great leaders become great by balancing strategy with tactics, future vision with current reality and strengths with weaknesses – all with the goal of accomplishing a clearly defined objective. Great leaders also understand that people are the most valuable resources within their organization. To drive and inspire their success, you must optimize strengths while recognizing inherent weaknesses. Many of our daily human experiences and interactions involve machines or devices of some sort. Technolo
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SAS
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 report’s survey quantifies user trends and readiness f
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SAS
Published By: SAS     Published Date: Nov 16, 2018
Fraud is costing government programs more than ever. For example, Medicaid lost $36 billion in 2017 – 10 percent of its total expenditures – which represents a 27 percent increase over 2015. As explored in this paper, fraud numbers are on the rise because fraud rings are not only getting more effective at what they do, but because it’s easy for them to find soft targets across multiple government programs simultaneously. Learn about how next-generation analytic tools from SAS cut across data and program silos and empower investigators to go on the offensive with fraud operators – without disrupting the efficient and timely delivery of benefits, services or tax refunds.
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SAS
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