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Published By: SAS     Published Date: Mar 14, 2014
This report examines how data visualization can help organizations unleash the full value of information, and outlines key considerations to guide the solution evaluation process.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
Managing expectations before, during and after the adoption of visualization software is crucial. Users should know what the rollout process will look like and how it will take place, and have clear goals for using the tool. Make sure that the desired outcome isn’t just look-and-feel. Creating beautiful charts and graphs is not a substitute for practical business decisions.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper explores ways to qualify data control and measures to support the governance program. It will examine how data management practitioners can define metrics that are relevant.
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sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper will consider the relevance of measurement and monitoring – defining inspection routines, inserting them into the end-to-end application processing, and reporting the results.
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sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
Jill Dyche and SpectraDynamo explains the importance of understanding how to manage data and issues regarding data categorization, retrieval and quality.
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sas, data categorization, retrieval and quality, spectradynamo, telemetry data, data governance program, data management, data quality
    
SAS
Published By: Semcasting     Published Date: Feb 19, 2014
Despite the fact that digital advertising is experiencing explosive growth, the industry still faces two significant challenges that can impede campaign performance: reach to unique users and data verification. In order to attract brand advertisers that are still spending a large portion of their budget on traditional media, the industry must find a better targeting solution. In this white paper from Semcasting, you will learn more about the limitations of cookie-based behavioral targeting and how a new solution called IP Zones can dramatically increase both the scale and accuracy of online display campaigns.
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digital targeting, ip targeting, online business marketing, online targeting, online ad targeting, internet marketing, online marketing, online marketing strategies
    
Semcasting
Published By: SRC,LLC     Published Date: Jun 01, 2009
Companies spend millions of dollars every year on building data warehouses, buying business intelligence (BI) software tools and managing their analytic processes in the hope of gaining consumer insight and winning market share. Yet, many companies fail to realize the full benefits of their technology investments because they are hamstrung by the layers of expertise and the complexity of technology tools needed to integrate various data warehouses and associated tools within their existing analytic environments. Since analysis is only as good as the accessibility, timeliness and accuracy of the information being analyzed, the interoperability of any data warehouse with any analytic environment is essential to achieving insightful, actionable analysis and making better decisions.
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src, enterprise, streamline, analytics, economy, analytic imperative, business intelligence, seamless
    
SRC,LLC
Published By: StreamSets     Published Date: Sep 24, 2018
Imagine you’re running a factory but without a supply chain management system or industrial controls. Instead, you expect your customers to find and fix your delivery and quality problems. Sound ludicrous? Well, in many enterprises that’s the current “supply chain management” process for big and fast data. It relies on the lightly monitored dumping of unsanitized data into a data lake or cloud store, forcing data scientists and business users to deal with failures from data availability and accuracy issues.
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dataflow, operations, factory, industrial
    
StreamSets
Published By: Thomson Reuters     Published Date: Mar 08, 2018
Although AI and big data have delivered advances in technology these past years which make remediation more manageable and more efficient, it’s important ensure that the solution you select, meets your particular requirements, addresses and meets your needs. Some jurisdictions require technology dealing with certain types of data to be hosted on-site; data hosting, exchange, protection and privacy can all affect the choice of solution or vendor. It’s common for companies to call out these specifics in their RFPs. Other considerations include the level of precision and recall (e.g., the accuracy) required to meet project needs, the setup time for a system, its implementation and the ability to support globally dispersed team members.
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technology, financial, sector, database, thomson, reuters
    
Thomson Reuters
Published By: TIBCO Software     Published Date: Jul 22, 2019
Faster answers from unstructured data, improved accuracy of liability estimates, expanded service offerings
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
TIBCO® Connected Intelligence for Smart Factory Insights By processing real-time data from machine sensors using artificial intelligence and machine learning, it's possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
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TIBCO Software
Published By: TIBCO Software     Published Date: Sep 12, 2018
By processing real-time data from machine sensors using artificial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield. Read about our top data science best practices for becoming a smart manufacturer.
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inter-company connectivity, real-time tracking, automate analytic models, efficient analytics, collaboration
    
TIBCO Software
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
By processing real-time data from machine sensors using arti?cial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
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TIBCO Software GmbH
Published By: Trillium Software     Published Date: May 19, 2011
Effective CRM demands a single, complete, accurate view of customer information including purchasing history, product interest, and support interactions. Enterprises require a solution to discover data issues, correct and standardize, and maintain data accuracy and consistency.
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trillium software, single customer view, data quality, crm, customer relationship management, high-quality data, erp, mdm
    
Trillium Software
Published By: Trillium Software     Published Date: May 19, 2011
Effective CRM demands a single, complete, accurate view of customer information including purchasing history, product interest, and support interactions. Enterprises require a solution to discover data issues, correct and standardize, and maintain data accuracy and consistency.
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trillium software, single customer view, data quality, crm, customer relationship management, high-quality data, erp, mdm
    
Trillium Software
Published By: Vertica     Published Date: Jul 23, 2008
Read how Comcast, the largest cable communications company in the U.S., is using Vertica Analytic DBMS able to quickly collect and analyze data being generated by millions of network devices to ensure quality of service and accuracy of capacity planning to ensure a consistently good customer experience.
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vertica, comcast, data analysis, proliant, rdmbs, networking, telecommunications
    
Vertica
Published By: Workday     Published Date: Mar 01, 2018
Explore the strategies companies are pursuing to manage change in this Workday-sponsored Harvard Business Review Analytic Services report. See how organizations use a single cloud-based system for finance and HR to create data-led decision-making, support C-suite collaboration, and develop planning methods with better insight, accuracy, and speed.
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cloud-based system, finance, data, decision making
    
Workday
Published By: Workday     Published Date: Sep 18, 2018
Explore the strategies companies are pursuing to manage change in this Workday-sponsored Harvard Business Review Analytic Services report. See how organisations use a single cloud-based system for finance and HR to create data-led decision-making, support C-suite collaboration, and develop planning methods with better insight, accuracy, and speed.
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finance, workday, workforce technology, digital strategy
    
Workday
Published By: Zebra Technologies     Published Date: Sep 06, 2017
COLLABORATION WITH WHIRLPOOL SOLVES COSTLY DATA ACCURACY AND DEVICE INVENTORY PROBLEM
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device visibility, efficient device management, asset productivity, asset tracking, device performance, device connectivity, device utilization, security vulnerability
    
Zebra Technologies
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