analytics consumption

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Published By: IBM     Published Date: Feb 02, 2016
Read this editorial to learn about the challenges and opportunities ahead for energy companies, and find out how utilities can use analytics to improve satisfaction by gaining insight into consumption and billing patterns—as well as the products and services that interest customers most.
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ibm, analytics, energy, utilities, customer experience, social media, data, customer management
    
IBM
Published By: IBM     Published Date: Apr 21, 2016
Read this editorial to learn about the challenges and opportunities ahead for energy companies, and find out how utilities can use analytics to improve satisfaction by gaining insight into consumption and billing patterns—as well as the products and services that interest customers most.
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ibm, customer experience, energy, utilities, customer relations
    
IBM
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download now and learn how Alteryx and Microsoft Power BI help accelerate data blending and advanced analytics consumption for everyone in your organization.
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Alteryx, Inc.
Published By: AWS     Published Date: Aug 20, 2018
A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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AWS
Published By: IBM     Published Date: Nov 08, 2012
In this white paper, Forrester discusses the 70 criteria evaluation of customer analytics vendors and discuss 6 of the most significant software providers, one including IBM, and scored them. Read on to learn how each vendor fulfills each key point.
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forrester, ibm, customer analytics solution, data management, analytics production, analytics consumption
    
IBM
Published By: MoreVisibility     Published Date: Dec 19, 2017
As the approach to strategic business decision making becomes more and more data driven, a method for consolidating our various data sets, which are often spread across multiple systems becomes exceedingly important. Two of the biggest players in data driven decision making are website analytics platforms and customer relationship management systems. The former includes accumulating data on top of the funnel behavior such as site traffic origins, lead generation, content consumption tracking, device usage, and overall site behavior. While the latter has a focus more on bottom of the funnel activity such as lead nurturing, customer status, lifetime value, etc. Lastly, without communication between these two essential platforms, a complete understanding of your customers, from lead to longtime client, may never be possible. A web analytics (Google Analytics) and CRM integration provides you with a 360 degree view of your customer base, so that you can understand not just what PPC efforts
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MoreVisibility
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