data analysis

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Published By: IBM     Published Date: Jul 02, 2018
Cloud has evolved from a technological innovation to an integral part of business. Companies in every industry are investing in Digital Transformation initiatives to evolve and grow; often, cloudbased platforms are foundational elements of these transformations, as businesses increasingly seek the flexibility and agility to roll out new software services in days or weeks, versus months or years. As Digital Transformation initiatives unfold, one key challenge is to modernize the data center to facilitate rapid delivery of new applications and services—while still ensuring that existing missioncritical applications remain high performing, available, and secure. Another challenge relates to new requirements for accelerating the analysis of organizational data to near real time, much faster than previously possible with earlier incarnations of Business Intelligence (BI). Agile businesses are demanding faster access to the information contained within operational and business data stores to
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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
    
IBM
Published By: IBM     Published Date: May 26, 2017
Securing your infrastructure, your customer interactions and protecting your data are critical to preserving your reputation and your bottom line. Many cyber attacks remain undetected for up to eight months1 and can cost an organization an average of 11 million USD.2 Today’s cyber actors are becoming more sophisticated, agile and capable of getting past any network security. Organizations must evolve, replacing traditional defensive security strategies with a proactive, intelligence-driven offense to prevent and disrupt these threats. IBM® i2® Enterprise Insight Analysis is a next generation intelligence solution that enables organizations to incorporate cyber threat hunting into their security strategy and turn their defense into a proactive offense.It helps organizations uncover critical insights about their threats and threat actors so they can mitigate and counter more threats with a combination of multi-dimensional visualte analysis capabilities
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ibm, ibm i2, cyber security, customer interaction, enterprise insight analysis
    
IBM
Published By: IBM     Published Date: Dec 24, 2014
Watch the video above to learn about the new big data and advanced analytics solution from IBM.
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ibm, big data, insight analysis, big data analysis, intelligence solutions, advanced analytics, business decision making, it management
    
IBM
Published By: IBM     Published Date: Aug 24, 2016
Read this data sheet to discover tools and features available in the new release to help you accelerate and simplify your analysis.
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ibm, spss, ibm spss, statistics, analytics, business applications, enterprise applications, business technology
    
IBM
Published By: Sirius Computer Solutions, Inc.     Published Date: Jul 08, 2014
In today’s data-driven culture, tools for business analysis are quickly evolving. Clients need a solution to accelerate their business analytics and reporting capabilities while lowering OP-Ecosts associated with systems management and cost of ownership. Download to learn more!
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sirius computer solutions, ibm, systems solution, sap business suite, sap hana, data, system management, it management, enterprise applications
    
Sirius Computer Solutions, Inc.
Published By: IBM     Published Date: Sep 10, 2009
IDC studied 14 mobile and fixed-line service providers that implemented Tivoli Netcool and found that IBM Tivoli Netcool can help in big ways. It reduces costs by improving operational efficiencies and still allows you to deliver a high-quality custom management.
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ibm, tivoli, netcool, roi, future proofing, data integration, operations productivity, cost reduction, user productivity, business value analysis, performance management, service quality management, and network fault management, cost efficiencies from consolidation, operations staff productivity, integrated solution
    
IBM
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download this IDC InfoBrief to get the full details of the survey, and understand the impact that advanced spreadsheet usage is having on the data preparation and analytic processes throughout organizations.
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Alteryx, Inc.
Published By: Adaptive Planning     Published Date: May 20, 2011
Learn how you can significantly extend the capabilities of your existing Salesforce.com, NetSuite, or other CRM application with an affordable, easy-to-use, and quick-to-deploy solution that automates sales forecasting, improves pipeline visibility, and enables what-if scenario planning.
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adaptive planning, salesforce.com, netsuite, crm application, sales forecasting, pipeline, revenue predictability, crm data augmentation, rob hull, greg schneider, sales analysis
    
Adaptive Planning
Published By: Adaptive Planning     Published Date: Jul 01, 2011
Learn how you can significantly extend the capabilities of your existing Salesforce.com, NetSuite, or other CRM application with an affordable, easy-to-use, and quick-to-deploy solution that automates sales forecasting, improves pipeline visibility, and enables what-if scenario planning.
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adaptive planning, salesforce.com, netsuite, crm application, sales forecasting, pipeline, revenue predictability, crm data augmentation, rob hull, greg schneider, sales analysis
    
Adaptive Planning
Published By: IBM Software     Published Date: Jul 28, 2010
This brief video explores the issues and the data required to improve sales forecasting accuracy, including the capacity to conduct historical and aggregated multi-dimension analysis.
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ibm software, cognos, sales forecasting, analytics, sales cycle, pipeline
    
IBM Software
Published By: IBM Software     Published Date: Jul 29, 2010
This brief video explores the issues and the data required to improve sales forecasting accuracy, including the capacity to conduct historical and aggregated multi-dimension analysis.
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ibm software, cognos, sales forecasting, analytics, sales cycle, pipeline
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
Read this white paper from IBM to learn about applying predictive analytics to claims management, including the typical ROI achieved and much more!
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data analysis, ibm data analysis, smarter planet new intelligence, rfid, sensors and actuators, epedigree, track and trace, insurance fraud, data management, data mining, knowledge management, data storage, knowledge management software
    
IBM Software
Published By: SAS     Published Date: Jul 14, 2015
With sophisticated analytics, government leaders can pinpoint the underlying value in all their data. They can bring it together in a unified fashion and see connections across agencies to better serve citizens.
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anayltics, data analysis, management, knowledge pooling, data infrastructure
    
SAS
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software
Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper for: • An overview of how manufacturing can benefit from the big data technology stack • A high-level view of common big data pain points for manufacturers • A detailed analysis of big data technology for manufacturers • A view as to how manufacturers are going about big data adoption • A proven case study with: Omneo
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Dell EMC
Published By: Dun & Bradstreet     Published Date: Apr 21, 2016
When the right approach is applied, analytics can drive more effective marketing strategies. While marketers understand the role analytics plays within the organization, most are not leveraging analytics to really drive enterprise performance. We surveyed 100+ business leaders to understand the state of analytics maturity across today’s leading organizations, uncovering common challenges teams are facing in their quest to use data and analytics to deliver a competitive advantage. What We Uncovered: - 73% of analytic professionals claim to work for an analytically-driven company - Only 42% of companies have a strategy for using analytics across the enterprise - Just 38% of companies share results of their analytic insights outside their department - 81% of organizations rely on 3rd parties for at least some portion of their analysis Download the report to learn how marketers, like yourself, view themselves in light of using analytics to drive their business.
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hoover's, marketing strategies, analytics, data
    
Dun & Bradstreet
Published By: Intel     Published Date: Dec 13, 2018
Technology plays a key role in online shopping, where online retailers gain a greater understanding of their customers through data from their browsing and purchasing habits. Today, when consumers shop in brick-and-mortar stores, they expect the same personalized and responsive service. To help retailers achieve this level of service, a combination of hardware and software—Intel® Vision Accelerator Design products, cameras, AI deep learning video analysis technology— do the work for you. Uncover how Advantech system uses the Intel Vision Accelerator Design with Intel Movidius VPU to drive • Overall store performance such as the number of visitors and transactions, point-of-sale data, sales per shopper and the store’s ranking, and can distinguish traffic patterns by weather and time of day • Traffic and sales analysis for better staff allocation and marketing-event planning • Store heatmap analysis for more precise merchandise placement and product promotion
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Intel
Published By: Inside HPC Media LLC     Published Date: Nov 11, 2019
In a world characterized by ever-increasing generation and consumption of digital information, the ability to analyze data to find insights in real time has become a competitive advantage. An advanced network must address how best to transfer growing amounts of data quickly and efficiently, and how to perform analysis on that data on-the-fly. The Co-Design technology transition has revolutionized the industry, clearly illustrating that the traditional CPU-centric data center architecture, wherein as many functions as possible are onloaded onto the CPU, is outdated. The transition to the new data-centric architecture requires that today’s networks must be fast and they must be efficient, which means they must offload as many functions as possible from the CPU to other places in the network, enabling the CPU to focus on its primary role of handling the compute.
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Inside HPC Media LLC
Published By: SAS     Published Date: Oct 22, 2015
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics. To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
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SAS
Published By: Melissa Data     Published Date: Nov 18, 2008
Learn what a Web Service is and how it works, the advantages of using a Data Quality Web Service, the technology assessment for implementation, and several case studies (Saab and other real world case studies) to demonstrate real life successes.
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melissa data, data quality, contact data verification, address verification, validate address, address verification software, address verify, address validation software, data quality tools, data quality management, data quality objects, data quality api, address quality, data cleanse, data hygiene, data quality, data quality analysis, data quality api, data quality assurance, data quality control
    
Melissa Data
Published By: Expert System     Published Date: Jul 26, 2019
As companies increasingly recognize the business implications and actionable benefits of AI, the question becomes: How will you use AI for your business? Thanks to the Cogito platform based on AI algorithms, organizations can effectively support and improve unstructured information management and text analytics in order to: Leverage all information, combining internal knowledge with other information sources to extract relevant data Provide effective and real-time insight on strategic initiatives, partners and any third parties Mitigate and even completely avoid risks for operations, reputation, etc. through information analysis and monitoring Know what competitors are doing and intercept market trends Implement automation for the broader, more complex set of processes that involve data Free up teams to focus on more creative or critical activities inside the organization See the entire business through a different perspective
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Expert System
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