business intelligence

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Published By: Epicor     Published Date: Jul 06, 2017
It’s hard to make good decisions without good information. Having access to data, and the tools to quickly analyze that data, is essential. Without data, you are blind to how your business is performing and areas for improvement—all you have to go on is instinct. A robust business intelligence (BI) system can provide new insights to help steer your distribution organization clear of obstacles that impede growth—and toward the opportunities that enable it. A monthly report just doesn’t cut it anymore. You need real-time information, and if you’re running legacy software, it’s probably slowing you down.
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erp software, enterprise resource planning software, business intelligence, distribution, inventory management, distribution software
    
Epicor
Published By: CA Technologies     Published Date: Jun 26, 2017
Privileged user accounts—whether usurped, abused or simply misused—are at the heart of most data breaches. Security teams are increasingly evaluating comprehensive privileged access management (PAM) solutions to avoid the damage that could be caused by a rogue user with elevated privileges, or a privileged user who is tired, stressed or simply makes a mistake. Pressure from executives and audit teams to reduce business exposure reinforces their effort, but comprehensive PAM solutions can incur hidden costs, depending on the implementation strategy adopted. With multiple capabilities including password vaults, session management and monitoring, and often user behavior analytics and threat intelligence, the way a PAM solution is implemented can have a major impact on the cost and the benefits. This report provides a blueprint for determining the direct, indirect and hidden costs of a PAM deployment over time.
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CA Technologies
Published By: Epicor     Published Date: Jun 22, 2017
If you’ve started to think your lumber and building materials (LBM) business could be getting more from your software, then it might be time for a change. It is no longer sufficient to own a solution that is “good enough.” The most successful LBM companies know that growth comes from integrated online trading, access to business intelligence tools, and using technology to be more efficient. It can be daunting to make the switch to a new enterprise resource planning (ERP) system, and with so many options, it’s hard to know when if you’re choosing the right one. Epicor has provided LBM businesses with the tools needed to make the most informed software choice. The lumber and building materials solutions evaluation kit consists of three white papers that tell you: • How to know when you’ve outgrown your current software solution • How to choose between generic and industry-specific ERP systems • How to outperform in an era of LBM sales growth You’re ready for growth. Learn how Epicor ca
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lumber, building materials, lbm, erp, bistrack, building materials distributors, lumber distributors, lumber manufacturers
    
Epicor
Published By: BlackLine     Published Date: Jun 12, 2017
In today’s highly complex global business environment, companies are constantly expected to do more with less, to run leaner while becoming more effective than ever. This is especially true for Accounting and Finance. They are now required to not only deliver periodic financial data and reports, but also real-time analysis and intelligence.
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BlackLine
Published By: FICO     Published Date: Jun 06, 2017
Historically, manufacturers have “looked to the past” to help predict what they need to do in the future. This would include basic business intelligence, powered by spreadsheets, and even manual processes.
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manufacturing, manufacturing optimization, solutions
    
FICO
Published By: Microsoft     Published Date: May 04, 2017
Read on to find out how predict demand, personalise your offer and pre-empt operational issues to stay ahead.
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business analytics, business intelligence, data, marketing
    
Microsoft
Published By: IBM     Published Date: May 01, 2017
Today's mobile landscape is very much a moving target. IT managers must keep track of all types of devices and platforms, hundreds if not thousands of applications and a threat landscape that changes by the minute. In this ever-changing environment, IT staff often find themselves drowning in mobile minutiae, overwhelmed by mountains of endpoint data but unable to extract meaning from it or make business decisions based on it. The tactical challenge of keeping infrastructure and business data secure while keeping workers productive each day takes precedence. And even then, IT managers can find themselves choosing between security and productivity as they decide how best to spend limited time and resources. This whitepaper will guide you how to get deep visibility into relevant endpoint data within the platform, granting actionable intelligence that can have a measurable impact on your organization.
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it staff, applications, business data, data security, it managers, endpoint data, device, platforms
    
IBM
Published By: IBM     Published Date: Apr 27, 2017
It’s hard to grow your business if you can’t see what’s coming next. What will the demand be for a specific product or service and how should you adjust production? What revenue can be expected and from which channels? Where are the best areas to expand your business? Predictive analytics can provide the answers executives, analysts and business managers need to reduce costs, operate more efficiently and increase the bottom line. Join IBM SPSS and guest Mark Lack, Manager of Strategy Analytics and Business Intelligence with industrial products company Mueller Inc. for a look at how to decrease costs and improve your business’ profitability with predictive analytics. You’ll learn how Mueller extends the value of its Big Data environment by applying predictive techniques to accurately forecast sales, prevent fraud and reduce losses from damaged inventory, saving the company significant time and money.
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predictive analytics, fraud detection, increase revenue, decrease costs, customer retention, hr efficiency, advanced analytics
    
IBM
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
Business intelligence has come a long way ? from assistance with report generation to self-service platforms for discovery and analytical insight. As technological capabilities and business aptitude with information continue to advance, the next generation of BI will be even more capable and valuable to the enterprise. To discuss today’s success factors and tomorrow’s opportunities, IIA spoke with Andy Bitterer, Senior Director of Business Intelligence Product Management at SAS, and Tapan Patel, Principal Product Marketing Manager at SAS.
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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: Apr 25, 2017
Artificial intelligence and related forms of advanced analytics hold enormous potential for marketers to expand and deepen customer intelligence, improve business processes, and deliver engaging customer experiences. But many marketing organizations are just getting their feet wet in leveraging these technologies. To learn about the opportunities and challenges, IIA spoke with Analise Polsky, Business Solutions Manager, SAS Best Practices and Jonathan Moran, Principal Product Marketing Manager, SAS Customer Intelligence Solutions.
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SAS
Published By: Entrust Datacard     Published Date: Mar 20, 2017
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
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Entrust Datacard
Published By: Infor     Published Date: Mar 07, 2017
Heutzutage sind die Zeitschriften voll mit Geschichten über geschäftliche Erfolge, die Business Intelligence (BI) ermöglicht hat. Die gute Nachricht ist: Sie können diesem Hype vertrauen.
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Infor
Published By: Infor     Published Date: Mar 07, 2017
De nos jours, les magazines sont remplis d’histoires de réussites commerciales propulsées par la Business Intelligence (BI). La bonne nouvelle, c’est que vous pouvez croire ces histoires : la BI aide presque toujours à améliorer les performances et son potentiel est encore plus grand qu’il y a seulement quelques années.
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Infor
Published By: Hewlett Packard Enterprise     Published Date: Feb 08, 2017
Everybody knows that improving your technology should increase business productivity. Download this asset to learn how to build a modern IT infrastructure. Sponsored by: HPE and Intel®
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best practices, business optimization, business management, productivity, business intelligence
    
Hewlett Packard Enterprise
Published By: Esker     Published Date: Feb 03, 2017
Order processing is most efficient when manual touch points are minimized. But when orders come in by fax or email, what’s the best way to handle them? Read our eBook, Addressing Manual Order Management, to learn how 100% electronic order processing can be achieved via one universal automation platform. Download this eBook to discover how to: Make every order electronic Allow customers to send fax/emails Increase speed, visibility & accuracy Eliminate manual data entry Manage growth without adding staff
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best practices, business optimization, business management, productivity, business intelligence, business process automation, business process management
    
Esker
Published By: Esker     Published Date: Feb 03, 2017
The overall success and competitiveness of a company can be directly tied to the efficiency of its order management process. If you’re fed up with the low visibility, high costs, and inefficiency of fax, email and EDI order processing, here are 9 reasons why order processing automation in an SAP environment is a brilliant business move for your company. Learn more about Order Processing Automation — download the guidebook today!
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best practices, business optimization, business management, productivity, business intelligence, business process automation
    
Esker
Published By: Esker     Published Date: Feb 03, 2017
In a perfect world, every sales order your company receives would go straight into your SAP system. But in reality, orders sent by fax and email end up as paper that gets pushed around the office. And those are the ones that cost the most to process. Learn about a solution to: Automate fax, email, EDI, and other orders into SAP applications Eliminate the cost and errors of manual order processing Consolidate resources to simplify your IT landscape You’ll also find out how the technology works and what it has done for other businesses.
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sales, solutions, best practices, business process, business management, business intelligence
    
Esker
Published By: SAP     Published Date: Feb 03, 2017
To better understand the benefits, costs, and risks associated with implementation of SAP Business Objects Analytics solutions, Forrester interviewed four organizations with multiple years of experience using these analytics solutions from SAP across one or more of the following key analytics areas: planning, business intelligence, and predictive analytics. A composite, or representative, organization was developed to provide the conclusions of this cost and benefit analysis.
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SAP
Published By: SAP     Published Date: Feb 03, 2017
To better understand the benefits, costs, and risks associated with implementation of SAP BusinessObjects Analytics solutions, Forrester interviewed four organizations with multiple years of experience using these analytics solutions from SAP across one or more of the following key analytics areas: planning, business intelligence, and predictive analytics. A composite, or representative, organization was developed to report cost and benefit findings
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SAP
Published By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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IBM
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