business users

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Published By: SafeNet     Published Date: Jul 20, 2010
In this business environment, strong authentication-using multiple factors to ensure users are indeed who they claim to be-is vital. As they evaluate the alternatives, many organizations are opting to use SMS authentication, which offers a mix of convenience and security that make it ideally suited to many usage scenarios. Read this white paper to find out more!
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safenet mobile, sms authentication, remote access, customer satisfaction, tco, certificate-based authenticators, pkiinformation security, authentication
    
SafeNet
Published By: Sage     Published Date: Jul 08, 2015
This white paper describes how ERP technology can improve efficiency by: • Standardizing and automating business processes—locally as well as across multiple locations and countries—to accelerate business operations. • Offering a fully integrated suite of business management applications that share a common dataset and extending these applications over the Internet, allowing visibility and collaboration across departments, as well as with customers, partners, suppliers, and remote users. • Providing flexible and customizable reporting to improve business reporting, analysis,and insight.
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enterprise resource planning, erp, efficiency, operating costs, standardization, automation, business management
    
Sage
Published By: SAP     Published Date: Apr 07, 2011
Organizations of all sizes across nearly every industry sector are facing unprecedented macro-market forces that are driving them to seek new business intelligence (BI) tools to achieve their corporate objectives. Traditional BI systems generally require dedicated staff to generate meaningful analysis, but the analysis is still difficult to share. As a result, many departmental managers and end users have relied on simple spreadsheets, which require significant manual effort and provide limited insight.
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bi on demand, saas analytics, sap, businessobjects, business data, business analytics, business intelligence
    
SAP
Published By: SAP     Published Date: May 22, 2012
Is turning data into information still a challenge for your company? If so, you are not alone. View this on-demand Webinar with SAP and HP to learn how you can manage ever-increasing amounts of data; provide this data to business users to make critical decisions in a timely fashion; and enable true self-service business intelligence (BI) for business users.
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sap, business solutions, business technology, enterprise, technology, enterprise analytics, application integration, application performance management
    
SAP
Published By: SAP     Published Date: Nov 22, 2011
Become acquainted with the script logic functionality available in SAP BusinessObjects Planning and Consolidation 7.x, version for SAP NetWeaver. Review use cases for script logic, its architecture, various ways to execute it, and a few basic key words. Designed for individuals who will be end users of SAP BusinessObjects Planning and Consolidation or who require a product overview. The goal is to work with the SAP BusinessObjects Planning and Consolidation Excel, Word, PowerPoint and Web interfaces.
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sap, businessobject, planning, business, technology, excel, word, powerpoint
    
SAP
Published By: SAP     Published Date: May 11, 2012
Business intelligence allows business users to analyze and better understand their organization's plans and results.
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business intelligence, medium sized business, streamlining, kpi, enterprise applications
    
SAP
Published By: SAP     Published Date: Jul 17, 2012
Relational database management systems (RDBMSs) are systems of software that manage databases as structured sets of tables containing rows and columns with references to one another through key values. They include the ability to optimize storage, process transactions, perform queries, and preserve the integrity of data structures. When used with applications, they provide the beating heart of the collection of business functions supported by those applications. They vary considerably in terms of the factors that impact the total cost of running a database application, yet users seldom perform a disciplined procedure to calculate such costs. Most users choose instead to remain with a single vendor's RDBMS and never visit the question of ongoing hardware, software, and staffing fees.
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sap, infrastructure, database, data management, white paper, management, storage, business functions
    
SAP
Published By: SAP     Published Date: Jul 18, 2012
A major question that companies are asking business intelligence (Bi) providers is, "What is your total cost of ownership?
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total cost of ownership, business intelligence, tco, data explosion, power users, top-down development, simple it landscape, analytic tools
    
SAP
Published By: SAP     Published Date: Jul 18, 2016
Organizations are investing in new analytics technologies to improve agility and performance. The technology and data must come together to serve the business users under the guidance and management of IT. Read the white paper to learn key findings in the analytics market and learn how to deliver analytics capabilities suitable for a wide range of use cases.
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SAP
Published By: SAP     Published Date: Jul 18, 2016
The SAP® BusinessObjects™ Cloud solution offers all analytics capabilities for all users in one product. In the boardroom, at the office, or in front of a customer, you can discover, analyze, plan, predict, and collaborate in one integrated experience designed expressly for the cloud. Read the solution in detail to learn how to turn instant insight into quick action.
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SAP
Published By: SAP     Published Date: Sep 19, 2017
SAP S/4HANA Retail for merchandise management is at the core of a comprehensive suite of retail offerings designed to help retailers meet the demands of a digital economy. It supports retail core processes end to end, starting with master data down to point-of-sales (POS) connectivity. It allows insights into operational retail data, empowering users with contextual, real time information for faster and better decision making. Processes can easily be extended to connect to business networks to form a digital ecosystem and collaboratively drive business model improvements. Equipped with a simple and intuitive user experience, the solution offers better support for headquarters users as well as store associates to drive compelling customer experiences.
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master data, management, retail price, merchandise buying, collaboration, vendor agreement, forecasting, sap
    
SAP
Published By: SAP Inc.     Published Date: Jun 16, 2009
As the sheer amount of information available for Business Intelligence (BI) applications has grown, and the sophistication of BI capabilities has accelerated, organizations are striving to improve time-to-information for business users.
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sap, data management, business intelligence, data storage, laggards, best-in-class, time-to-information, data management infrastructure costs
    
SAP Inc.
Published By: SAP Inc.     Published Date: Jul 28, 2009
Learn from today's sales leaders who have benefited from building a sales strategy based on a position of deep customer knowledge.
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sap, sales organization, best-run, sales opportunity, sales strategy, customer database, crm, customer relationship management
    
SAP Inc.
Published By: SAS     Published Date: Mar 01, 2012
The traditional managed reporting approach to BI is challenged to keep up with changing demand for business information. This research finds that providing business users with highly visual/interactive tools can help ensure they get what they need.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
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, software development, it management
    
SAS
Published By: SAS     Published Date: Nov 10, 2014
Learn how to build a business intelligence product that provides self-service analytics and see why this product has been the favorite for businesses and IT users alike.
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sas, self service, service analytics, it users, self-service bi, forecasting, collaboration, deployment
    
SAS
Published By: SAS     Published Date: Apr 21, 2015
To maintain competitive advantage, your BI solution should allow business users to quickly and easily investigate and interrogate the data to find out why something happened – to uncover the root cause behind the “what.”
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SAS
Published By: SAS     Published Date: Nov 04, 2015
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
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data visualization, sas, big data, visual analytics, data exploration, analysis, networking, knowledge management
    
SAS
Published By: SAS     Published Date: Apr 25, 2017
But if you can’t explain how you got the answer, or what it means, it’s no good. Most self-service BI solutions can only display what has already happened, through reports or dashboards. And most have a predefined path of analysis that gives users very little creative freedom to explore new lines of thought. To maintain competitive advantage, your BI solution should allow business users to quickly and easily investigate and interrogate the data to find out why something happened – to uncover the root cause behind the “what.”
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SAS
Published By: SAS     Published Date: Apr 25, 2017
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis. The heart and soul of SAS Visual Analytics is the SAS® LASR™ Analytic Server, which ca
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Organizations in pursuit of data-driven goals are seeking to extend and expand business intelligence (BI) and analytics to more users and functions. Users want to tap new data sources, including Hadoop files. However, organizations are feeling pain because as the data becomes more challenging, data preparation processes are getting longer, more complex, and more inefficient. They also demand too much IT involvement. New technology solutions and practices are providing alternatives that increase self-service data preparation, address inefficiencies, and make it easier to work with Hadoop data lakes. This report will examine organizations’ challenges with data preparation and discuss technologies and best practices for making improvements.
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SAS
Published By: SAS     Published Date: May 04, 2017
Should you modernize with Hadoop? If your goal is to catch, process and analyze more data at dramatically lower costs, the answer is yes. In this e-book, we interview two Hadoop early adopters and two Hadoop implementers to learn how businesses are managing their big data and how analytics projects are evolving with Hadoop. We also provide tips for big data management and share survey results to give a broader picture of Hadoop users. We hope this e-book gives you the information you need to understand the trends, benefits and best practices for Hadoop.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
With the support of SAS, the Internet of Things Institute developed the 2017 Internet of Things ROI Research Study to gather real-world insights, lessons learned and future guidance from current users of IoT technology and advanced analytics. This selective sample of IoT users offers valuable insights to both IoT innovators and organizations still waiting to see how the technology evolves before investing. Multiple business layers and functions have input into IoT decision making. Discover which layer was most critical to success for those organizations that have achieved the highest percentage of their targeted ROI. Learn about the main drivers of success for IoT users achieving higher returns. Lastly, the results highlight six primary factors that can undermine an IoT initiative and how they can be prevented.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and analytics. And you can do it through an interface that anyone can use. At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days. Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
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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
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