decision analytics

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Published By: SAS     Published Date: Mar 20, 2019
Seeing value from analytics and emerging technologies such as AI begins with trust in the data. That trust relies on how data is collected, shared, protected and used. The annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights – and what steps are needed to get trustworthy data.
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SAS
Published By: IBM     Published Date: Apr 04, 2013
Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.
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geeknet, business analytics, midsize businesses, challenges, benefits, business intelligence
    
IBM
Published By: IBM     Published Date: Sep 27, 2013
Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits. Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.
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ibm, geeknet, business analytics, analytics, midsize businesses, business intelligence
    
IBM
Published By: IBM     Published Date: Sep 27, 2013
While more and more enterprises are using analytics to guide their decision-making processes, most midsize businesses continue to rely on old-fashioned decision-making techniques like trial and error. The reason for this is simple: advanced analytics solutions can be very complex and expensive to implement, leading midmarket businesses to assume that the benefits of analytics are beyond their reach. IBM has created a new analytics solution that is designed specifically with the needs of midmarket businesses in mind. The solution, IBM Analytic Answers, gives midmarket businesses the opportunity to take advantage of a sophisticated analytics platform, backed by IBM expertise, while also staying within their budgets.
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frost & sullivan, ibm, ibm analytics, ibm analytic answers, business analytics, midsize business, analytics solution, advanced analytics
    
IBM
Published By: IBM     Published Date: Oct 31, 2013
Improve customer satisfaction, identify trends and make smarter marketing decisions with IBM Social Media Analytics.
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social media, big data, data-driven marketing, marketing analytics, performance analytics, business analytics, metrics, data, driver-based campaign, campaign optimization, marketing campaign, analytics software, customer experience, c-suite, customer relationship management, crm, facebook, twitter
    
IBM
Published By: IBM     Published Date: Jan 02, 2014
Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits. Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.
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ibm, business analytics, midsize businesses, geeknet, business intelligence, customer volatility, market volatility, variety of data, it managers, implementing analytics, ba systems, ba solutions, in-house analytics, ba capability, scorecarding, time-to-insight, business risk, business planning
    
IBM
Published By: IBM     Published Date: Jan 09, 2014
Watson’s success in the Jeopardy! challenge was inspiring, but the business impact of optimized systems design is just beginning. With smarter analytics solutions optimized on IBM Power Systems, you can put Watson's technology to work and ensure that you
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power 7, big data, watson, decision making, power systems, virtualization, spss collaboration, ibm, ibm power systems, analytics
    
IBM
Published By: IBM     Published Date: Apr 18, 2014
This IDC paper discusses the critical role of hardware infrastructure in business analytics deployments, citing best practices, the IDC's decision framework, and four client case studies - Wellpoint, Vestas, AXTEL, and Miami-Dade County. IDC's recommendation is that "infrastructure cannot — and should not — be an afterthought". Hardware infrastructure and software requirements must be determined in parallel to maximize the success of business analytics projects.
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ibm, business analytics, deployment, hardware, infrastructure, business analytics solutions, workload
    
IBM
Published By: Epicor     Published Date: Jun 22, 2015
This report, based on a survey of 105 growing organizations, uncovers how ERP integrated with Business Analytics can improve business execution and decision-making.
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business growth, erp integration, business analytics, business execution, decision-making
    
Epicor
Published By: IBM     Published Date: Mar 31, 2016
"Now in V8.7 of IBM Operational Decision Manager, IBM ODM Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action. "
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ibm, ibm operational decision manager, ibm odm advanced, process improvement, business analytics, business insights
    
IBM
Published By: IBM     Published Date: Jul 07, 2016
Now in V8.7 of IBM Operational Decision Manager, IBM ODM Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
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ibm, odm, middleware, ibm operational decision manager, application services
    
IBM
Published By: IBM     Published Date: Jul 07, 2014
Business analytics can empower your business managers to make more fact-based, data-driven decisions that improve operating results. Learn more in a report from Nucleus Research.
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ibm, profitability, analytics, big data, midmarket, midsize companies, data-driven decision making, predictive analytics, business intelligence, performance management
    
IBM
Published By: IBM     Published Date: Oct 07, 2014
This IDC paper discusses the critical role of hardware infrastructure in business analytics deployments, citing best practices, the IDC's decision framework, and four client case studies - Wellpoint, Vestas, AXTEL, and Miami-Dade County. IDC's recommendation is that "infrastructure cannot — and should not — be an afterthought". Hardware infrastructure and software requirements must be determined in parallel to maximize the success of business analytics projects.
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ibm, idc, hardware infrastructure, business analytics deployments, software, software requirements, business analytics projects, infrastructure management
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, analytics, unstructured content, enterprise information, ibm
    
IBM
Published By: IBM     Published Date: Apr 15, 2015
Technology Adoption Analyst whitepaper by Forrester. This IBM-commissioned profile of IT operations decision-makers at enterprise companies in the US, UK and Germany evaluates IT operations analytics adoption, benefits, and challenges based on Forrester’s own market data and a custom study of the same audience.
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ibm, it operations, decision makers, analytics, market analysis
    
IBM
Published By: IBM     Published Date: Oct 16, 2014
Read how your organization can maximize the value of analytics by moving beyond a focus on customers to drive excellence in operations.
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supply chain, decision management solutions, business analytics, operational excellence
    
IBM
Published By: SAS     Published Date: Sep 30, 2014
When Information Revolution1 was published in 2006, no Chinese based companies were among the top 10 largest companies by market capitalization. Apple didn’t sell phones. Facebook was something college kids used to connect with their friends. Back then, we talked a lot about the amount of data coming in and faster processing speed. What we believed then remains true today: Data, and the decision-making process, can be moved throughout the organization to equip every decision maker (automated, line worker, analyst, executive) to make the best choices. By operationalizing analytics, organizations can identify and quantify both opportunity and risk. Information Revolution highlighted SAS’ Information Evolution Model, which helps organizations understand how they interact with their information and how to extract more value from it through analytics.
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sas, organizational insights, operationalizing analytics, sas’ information evolution model
    
SAS
Published By: SAS     Published Date: Sep 30, 2014
As analytics and Big Data have been embraced, analysts are working to become better at communicating the insights from complex analysis. This makes the use of visual analytics increasingly important as a tool to tell compelling stories and to engage decision makers in dialogue. Importantly, the best visual analytics are not necessarily the coolest, most sophisticated, or most complex. Visual analytics are most effective when there is a clear purpose and when data can be visualized and communicated in a way that is easily understandable.
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sas, big data, visual analytics
    
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: Jun 05, 2017
As a new era of analytics takes hold, a key characteristic is using analytics to automate IT tasks and decisions. In this Harvard Business Review paper, Tom Davenport describes the opportunity for greater use of analytics in IT, the eras of analytics and how IT will grow and change.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
It’s there for the taking – real-time information about every physical operation of a business. All you need is a key: data analytics.  This paper is based on Blue Hill Research’s interviews of three organizations – a US-based oil and gas company, a US municipality and an international truck manufacturer – each of which heavily invested in IoT analytics. Focusing on the key themes and lessons learned from their initiatives, this paper will help business decision makers make informed investment decisions about the future of their own IoT analytics projects.
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SAS
Published By: Riverbed     Published Date: Jul 15, 2014
Your business is complex. Big data promises to manage this complexity to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, fueling more complexity, delays, and downtime. Forrester predicts this will inevitably get worse. To combat this onslaught, you can no longer just accelerate current practices or rely on human intelligence. You need machines to analyze conditions to invoke the appropriate actions. These actions themselves can be automated. To perform adaptive, full-service automation, you need IT analytics, a disruption to your existing monitoring and management strategy.
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big data analysis, it analytics, manage, complex, automation, monitoring, management strategy
    
Riverbed
Published By: Oracle Corporation     Published Date: May 11, 2012
OBIEE Plus is a comprehensive business intelligence platform that delivers a full range of capabilities. Read this data sheet to learn about all of the key features and benefits of this dynamic solution.
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oracle, busines intelligence, business intelligence applications, bi applications, bi apps, 11g, cross-value, decision, analytics, functional, flow, manage, customers
    
Oracle Corporation
Published By: Oracle Corporation     Published Date: May 11, 2012
This white paper demonstrates how the increased power of having metrics and analytic insight can align core HR business processes with organizational goals and strategies to ensure organizations make the right business decisions today for tomorrow.
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oracle, busines intelligence, business intelligence applications, bi applications, bi apps, 11g, cross-value, decision, analytics, functional, flow, manage, customers
    
Oracle Corporation
Published By: LiveHive     Published Date: Feb 16, 2016
Recent studies have shown that the lack of integration between sales and marketing systems can cause the biggest gap between top sales performers and under-achievers. Yet less than 1 out of 10 B2B companies report good alignment between sales and marketing organizations, according to Sirius Decisions. Download the white paper “How Top Performing Companies Drive Sales and Marketing Alignment” to learn more about how content personalization, analytics, and process automation can help you build a stronger relationship between sales and marketing.
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livehive, sales productivity, integration, marketing, b2b, sales process
    
LiveHive
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