data insights

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Published By: IBM     Published Date: Oct 16, 2014
As part of the IBM® SMART Program, Andrews Distributing worked with Southern Methodist University to develop a predictive analytics solution that mines data on 1,000 SKUs sold at 10,000 retailers, and reveals new insights about beer category sales in different retail environments.
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distribution model, analytics services, predictive analytics, sales growth
    
IBM
Published By: IBM     Published Date: Nov 14, 2014
Data mining uncovers patterns in data through a variety of predictive techniques. By engaging in data mining, organizations like yours gain greater insight into external conditions, internal processes, your markets – and your customers.
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ibm, data mining, data management, business results, predictive intelligence, business insights, best practices, business intelligence, return on investment
    
IBM
Published By: IBM     Published Date: Nov 14, 2014
IBM® SPSS® Modeler is a powerful, versatile data mining workbench that helps you gain unprecedented insight from your data.
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ibm, data mining, data management, business results, predictive intelligence, business insights, business analytics, business intelligence, data center
    
IBM
Published By: IBM     Published Date: Dec 24, 2014
Organizations and intelligence agencies from a variety of industries and sectors face the same challenges when it comes to big data – the need to uncover actionable insights, with limited resources, with critical speed. But with the right intelligence solution, overwhelming data won’t be a challenge, rather, it becomes your resource to smarter, more effective decision making.
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ibm, big data, insight analysis, big data analysis, intelligence solutions, advanced analytics, business decision making, it management, business analytics, business intelligence
    
IBM
Published By: IBM     Published Date: Jan 05, 2015
Ziff Davis recently surveyed over 300 IT professionals on the state of big data and analytics initiatives in their organizations. The results tell a compelling story: while most IT pros understand the value of big data, actually operationalizing their analytics strategies to deliver usable insights to their organizations remains a challenge.
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big data, it professionals, analytics initiatives, analytics strategies, analytic solutions, it management, knowledge management, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Jan 09, 2015
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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big data, mdm, client analytics, real-time analysis, it management, knowledge management, data management
    
IBM
Published By: IBM     Published Date: Jan 09, 2015
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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ibm, big data, insights, infosphere, data management, dashboards, value, data matching, analytics, challenges, hadoop, knowledge management
    
IBM
Published By: IBM     Published Date: Jan 09, 2015
Early adopters of an extended 360° view will get competitive advantages over their rivals and this will force laggards to adopt a similar approach or lose business.
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ibm, big data, insights, mdm, infosphere, data management, dashboards, value, data matching, analytics, challenges, competitive advantage, loyalty, implementation, 360, degree, customers, it management, knowledge management, data center
    
IBM
Published By: IBM     Published Date: Feb 10, 2015
Now that a majority of organizations realize a return on their analytics investments within a year, business executives are demanding data insights delivered at an accelerating speed.
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ibm strategy, big data, management consulting, analytics investments, data insights, it management, enterprise applications, data management, data center
    
IBM
Published By: IBM     Published Date: Feb 24, 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, ibm, big data outcomes, information governance, big data analytics, it management, data management, data center
    
IBM
Published By: IBM     Published Date: Mar 18, 2015
More and more companies are moving to the cloud for B2B services, and for good reason. There’s a huge potential for increased visibility and analytics-driven insights to be gained from B2B transactions that can give businesses unprecedented levels of information. But many organizations continue to struggle when it comes to going beyond basic transactional data and historical performance metrics. What does it take to not only report on past activity, but to get real-time alerts, predict future events, manage exceptions, and proactively leverage this wealth of data in order to put it to work? Read this IBM white paper to find out how B2B Services Reporting and Analytics provide new insights into your trading partner relationships and to drive better, more profitable business decisions.
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b2b services, ibm, b2b analytics, b2b reporting, transactional data, trading partner relationships, it management, enterprise applications, data 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, security, it management, knowledge management, storage, data management
    
IBM
Published By: IBM     Published Date: Apr 07, 2015
Using data to reinvent one’s business has reached the mainstream. Data and analytics allow us to change the world around us: it gives us insights into what is happening, allowing us to optimize our strategy, create new business opportunities, and make more accurate predictions.
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ibm, data management, analytics, insights, optimization strategy, predictions, application integration, best practices, business analytics, business integration, business intelligence, middleware, analytical applications, data integration
    
IBM
Published By: IBM     Published Date: Apr 13, 2015
IDC Retail Insights defines omni-channel merchandise optimization as the set of technologies, data assets, skills, processes, and management intent required to develop and maintain sets of targeted and localized offers that best satisfy important business objectives. These goals include customer satisfaction, customer lifetime value, and category, channel, and corporate performance. By "offers," IDC Retail Insights means the broad set of attributes that characterize assortments, products, services, prices, utility, and convenience that match customers' buying criteria and shopping behaviors. Targeted and localized offers present a compelling "choice set" that satisfies and delights consumers. Download this white paper to read the questions posed by IBM to Greg Girard, program director of Omni-Channel Analytics Strategies at IDC Retail Insights, on behalf of IBM's customers.
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omni-channel merchandise, ibm, targeted offers, localized offers, customer satisfaction, corporate performance
    
IBM
Published By: IBM     Published Date: Apr 29, 2015
IBM InfoSphere BigInsights for Hadoop enables organizations to efficiently manage and mine large volumes of diverse data for valuable insights. IBM builds on a 100% Apache Hadoop foundation with common tools such as spreadsheets, R analytics and SQL access for greater usability.
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bigsheets, data management, business intelligence, workload optimization, data, sql, network management, network performance, network provisioning, database development, productivity
    
IBM
Published By: IBM     Published Date: May 22, 2015
This presentation will demonstrate that it is possible to turn the promise of Big Data into business value by applying predictive analytics to Big Data sources such as Hadoop, Cloudera, and BigInsights.
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big data, analytics, forecasting, data management, hadoop, application integration, analytical applications, business intelligence, productivity
    
IBM
Published By: IBM     Published Date: Jul 01, 2015
The impact of streaming analytics and leveraging expertise in the healthcare sector.
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data insights, healthcare data, healthcare analytics, unstructured content analytics, computation-intensive analytics, ibm big data, enterprise-class data management
    
IBM
Published By: IBM     Published Date: Aug 20, 2015
Hear from industry experts, how forward-thinking organizations can use workforce science and analytics to turn data into insights and then into action
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data analytics, ibm recruitment, data insights, hr leaders, workforce science, talent management, hr analytics, business issues and trends, global hr management, human resources management, management fundamentals, technology, training and development
    
IBM
Published By: IBM     Published Date: Oct 26, 2015
Read how IBM InfoSphere BigInsights for Hadoop enables organizations to efficiently manage and mine large volumes of diverse data for valuable insights.
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ibm, ibm infosphere biginsights, data, big data, hadoop, storage virtualization, business analytics, business integration, server virtualization, database development, analytical applications, data integration, cloud computing, data center design and management, virtualization
    
IBM
Published By: IBM     Published Date: Oct 26, 2015
Big data is fueling a new economy—one based on insight. How can you create the valuable insights that are the currency for the new economy while controlling complexity? Apache Spark might be the answer.
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ibm, apache spark, big data, data integration, data warehousing, data deduplication
    
IBM
Published By: IBM     Published Date: Dec 29, 2015
This paper explores why your business needs the latest operational decision management (ODM) solutions to help turn data insights into action. Discover how IBM Operational Decision Manager software and the IBM Business Process Manager platform work together.
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ibm, operational decision management, odm, business process manager, networking, it management
    
IBM
Published By: IBM     Published Date: Jan 06, 2016
In light of such popularity, many organizations are turning their attention to mobile recruiting. So, how do job seekers use mobile devices in their job searches? Using data from the global IBM WorkTrendsTM survey, the IBM Smarter Workforce Institute (SWI) analyzed why and how potential job seekers use mobile in their job searches and what concerns and expectations they have. The results provide organizations with clear insights into how they can attract talent via mobile technologies.
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ibm, mobile recruitment, recruitment, mobile devices, smarter workforce institute, attracting talent, human resources
    
IBM
Published By: IBM     Published Date: Jan 27, 2016
Learn how to uncover actionable insights through the IBM big data platform.
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ibm, machine data, insights, big data, real time, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Jan 27, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior—and profitable—interactions with customers.
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ibm, data, insights, results, analytics, cognitive commerce, knowledge management, enterprise applications, data management
    
IBM
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