advanced analytics

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Published By: IBM     Published Date: Nov 11, 2015
Discover how proficient your Media & Entertainment organization is at using advanced analytics to deliver differentiated customer experiences.
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ibm, media, entertainment, assessment, analytics, maturity, business technology
    
IBM
Published By: IBM     Published Date: Nov 11, 2015
Discover how proficient your telecommunication organization is at using advanced analytics to increase revenue and keep customers happy.
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ibm, telecommunications, analytics, marketing, business technology, telecom
    
IBM
Published By: IBM     Published Date: Nov 20, 2015
Discover how proficient your organization is at using advanced analytics to transform the way you do business. Take the assessment.
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ibm, energy, utilities, analytics, business technology
    
IBM
Published By: IBM     Published Date: Feb 02, 2016
Advanced analytics can provide extremelyvaluable insight into today’s media viewers. This must-read report details the top 10 best practices for successfully implementing data analytics for driving profit, attracting new viewers, and increasing viewer loyalty.
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ibm, big data, analytics, media, entertainment, data analytics
    
IBM
Published By: IBM     Published Date: Feb 03, 2016
Learn why advanced analytics tools are essential to sustain a competitive advantage. This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
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ibm, data management, apache, hadoop, analytics
    
IBM
Published By: IBM     Published Date: Feb 04, 2016
IBM Operational Decision Manager 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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analytics, ibm, operational decision manager, operations, brand, data, big data, trends, business technology
    
IBM
Published By: IBM     Published Date: Feb 26, 2016
With Watson Explorer, you can keep enterprise search as the foundation and transform search into Cognitive Exploration. Leveraging technological advances such as deep search and exploration, advanced content analytics, and cognitive capabilities, IBM Watson Explorer provides a unified view of the information you need, combining data from multiple internal silos and a variety of outside datasets including social media. Stop limiting your search to traditional data sources in the new, non-traditional data world.
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watson explorer, ibm, deep search, content analytics, enterprise software
    
IBM
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: Apr 05, 2016
Learn why advanced analytics tools are essential to sustain a competitive advantage. This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
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ibm, predictive analytics, enterprise evolution, analytics tools, applied organization learning, knowledge management, enterprise applications, data management, business technology
    
IBM
Published By: IBM     Published Date: Apr 14, 2016
Information associated with consumers can provide a lot of value - if insights from that data can be quickly and accurately attained. This IDC iView will share results of a recent IDC study and provide insights you can use to better understand how advanced analytics strategies can help you enhance the experience for your audience, grow your viewers and advertisers, and increase revenues.
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ibm, media, entertainment, audience analytics, idc, idc iview
    
IBM
Published By: IBM     Published Date: Apr 14, 2016
Advanced analytics can provide extremely valuable insight into today’s media viewers. This must-read report details the top 10 best practices for successfully implementing data analytics for driving profit, attracting new viewers, and increasing viewer loyalty.
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ibm, data analytics, analytics, media, entertainment
    
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, networking, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jul 14, 2016
Learn why advanced analytics tools are essential to sustain a competitive advantage. This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
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ibm, predictive analytics, analytics tools, advanced analytics, enterprise applications, business technology, data center
    
IBM
Published By: IBM     Published Date: Jul 19, 2016
Learn new ways of analyzing digitally connected customers-from dynamic segmentation to the use of advanced analytics. With predictive tools, banks can analyze transactions and spending behavior to better understand customer needs, anticipate life events, and provide a unique experience.
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ibm, banking, finance, consumer insights, business intelligence, business anlytics, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 27, 2016
IBM i2 Enterprise Insight Analysis helps analysts and investigators turn large data sets into comprehensive intelligence, in near real-time. With the help of advanced analytics and visual analysis capabilities, analysts can uncover hidden connections, patterns and trends buried in disparate data. Equip analysts and those on the front line with the tools they need to generate actionable intelligence, with mission critical speed.
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ibm, cyber threat analysis, ibm i2 enterprise insight analysis, cyber security, business intelligence, security, business technology
    
IBM
Published By: IBM     Published Date: Aug 18, 2016
Marketers are expanding their use of advanced social media analytics and combining the insights from those tools with other enterprise data to learn more about their customers and their prospects.
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ibm, watson, social media, analytics, social media analytics, marketing, marketers, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Oct 26, 2016
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics.
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ibm, predictive analytics, analytics tools, advanced analytics, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jan 11, 2017
Download this eBook to learn: - How the use of advanced analytics generates powerful insights to stay ahead of evolving cyber threats - Why Cyber Threat Analysis is the most effective defensive strategy - How analysts benefit from the use of sophisticated data visualization to identify hidden threat relationships and patterns - Why shifting from attack prevention to mitigation is a more practical goal for commercial organizations
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ibm, analytics, public sector, security, cyber threat, cyber threat analysis, risk, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jan 11, 2017
Download this white paper to learn: - How the use of advanced analytics generates powerful insights to stay ahead of evolving cyber threats. - Why security infrastructure protection alone is not enough to thwart cyber criminals, and how you can fortify your existing security strategy. - How the use of both machine led analytics with human led analysis can help you mitigate threats.
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ibm, analytics, public sector, security, cyber threat, cyber threat analysis, risk, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
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predictive analytics, increase sales, customer retention, fraud management, consumer expectations
    
IBM
Published By: IBM     Published Date: Jan 26, 2017
By taking full advantage of the integration and advanced capabilities currently being offered by leading counter fraud solution providers - including predictive analytics and cognitive computing - enterprises can expect to achieve significantly better outcomes.Aberdeen Group's analysis helps to quantify the value of counter fraud analytics in the insurance industry.
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ibm, analytics, fraud analytics, insurance, fraud
    
IBM
Published By: IBM     Published Date: Feb 27, 2017
Advancements in analytics have sparked renewed excitement in the consumer products (CP) industry. Maturing analytics capabilities are now delivering greater value across major CP functions including marketing, sales, merchandising, supply chain, and more. Thus helping CP companies become more consumer and customer focused in all aspects of their businesses. Read this research report conducted by 'Consumer Goods Technology' to understand how, next-gen analytics capabilities is key in unlocking a deeper understanding of customers, help create successful new products, foster brand advocates and optimize distribution channels and ultimately shape demand
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cgt, analytics, consumer goods, distribution channels, advanced analytics
    
IBM
Published By: IBM     Published Date: Mar 02, 2017
Marketers are expanding their use of advanced social media analytics and combining the insights from those tools with other enterprise data to learn more about their customers and their prospects.
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social media analytics, marketing, social media marketing, social media, ibm, branding
    
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: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
    
IBM
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