analytics implementation

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By: Tealium     Published Date: Dec 15, 2011
In the market for tag management systems? The "Buyer's Guide to Tag Management Systems" reveals the challenges associated with tagging, benefits provided by tag management systems, and features to consider when looking for such solutions.
Tags : tag management, tag management system, universal tag, container tag, pixel management, site performance, web analytics, web analytics implementation, marketing attribution, integrated marketing, digital marketing, page tag, site tag, site speed, tagging, page code, tracking code, omniture, google analytics, webtrends
     Tealium
By: IBM     Published Date: Jan 09, 2015
Early adopters of an extended 360į view will get competitive advantages over their rivals and this will force laggards to adopt a similar approach or lose business.
Tags : ibm, big data, insights, mdm, infosphere, data management, dashboards, value, data matching, analytics, challenges, competitive advantage, loyalty, implementation, 360, degree, customers, it management, data center
     IBM
By: HP Enterprise System     Published Date: Apr 03, 2014
SAP HANA is a powerful, in-memory computing platform that streamlines business suite applications, analytics, planning, predictive analysis, and sentiment analysis on a single platform, so businesses can operate in real time. The design approach for enterprise-level solutions involving SAP HANA, and the best practices surrounding them, isnít intrinsically different from the approach to any other enterprise-level solution for technology implementations. This paper is written to address those elements of good solution design and apply them to the SAP landscape, with particular focus on the SAP HANA element.
Tags : sap hana, as a service solution, solutions, cost effective, operational management, accelerate value, enterprise applications, data management
     HP Enterprise System
By: SAS     Published Date: Jun 05, 2017
The Internet of Things is fast becoming a fixture in some industries, and the technologies for transformative business applications are at hand. Yet many organizations have been slow to recognize and act on these new opportunities. This report from the International Institute for Analytics explores the many business opportunities IoT presents, details its associated implementation challenges and describes how organizations can accelerate their progress so they donít fall behind.
Tags : 
     SAS
By: MapR Technologies     Published Date: Dec 12, 2013
When used effectively, Hadoop can deliver unparalleled value in revealing new analytics-driven revenue streams, improving customer acquisition and retention, as well as increasing operational efficiencies. The Hadoop Buyer's Guide is an invaluable resource for those investigating or evaluating Hadoop---from understanding how Hadoop can solve your data challenges, to what to look for when selecting a solution, to comparing vendors, and preparing for implementation and future success. Download the guide, and get everything you need to know about choosing the right Hadoop distribution for your business success.
Tags : big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata, analytics, mapreduce, data, data center, mapr
     MapR Technologies
By: Geary Interactive     Published Date: Jan 06, 2011
This whitepaper looks at how digital marketers can fine tune their web analytics implementations to ensure their digital marketing strategies are successful.
Tags : digital marketing, web analytics, interactive marketing, digital analytics strategies, web analytics agency
     Geary Interactive
By: IBM     Published Date: Dec 05, 2016
Learn directly from KONE's expert about their recent IoT experience in implementing predictive maintenance (PMQ) and IoT. The session will cover: 1) KONE's business area that the PMQ and IoT solution is supporting, and the metrics used to measure success; 2) KONE's Predictive Maintenance and IoT Platform use case, key personas, savings and benefits realized; and 3) Observations from implementation, including: a) The analytics journey at KONE; b) Organizational change (culture, processes, etc.); c) Measurable maintenance benefits; d) Implementation considerations, learnings, going forward; and e) Future projects and capabilities.
Tags : ibm, leadership, watson, watson iot, predictive maintenance, enterprise applications
     IBM
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