Enterprise Modeling Reports

Computer Weekly - 11 January 2022: How Pepsi is taking digital to the max
sponsored by TechTarget ComputerWeekly.com
EZINE: In this week's Computer Weekly, we talk to PepsiCo's digital director about delivering innovation in customer experience. Our first buyer's guide of 2022 examines hybrid cloud storage. And we find out how Arkwright and Granville from the BBC sitcom Open All Hours are inspiring retailers 40 years on. Read the issue now.
Posted: 10 Jan 2022 | Published: 11 Jan 2022

TechTarget ComputerWeekly.com

Tip Guide: Five goals for implementing Oracle Business Intelligence Applications
sponsored by SAP America, Inc.
EGUIDE: Oracle Business Intelligence Applications (OBIA) can give organizations deeper analytical views into their business performance. In this tip guide, readers will learn about five key areas organizations should focus on when implementing OBIA.
Posted: 14 Dec 2011 | Published: 07 Dec 2011

SAP America, Inc.

How to Get the Most from SAP HANA
sponsored by Arrow and SAP
EGUIDE: In this e-guide, learn how you can master SAP HANA for increased speed of development, speed of realization, flexibility, and more – for the maximum impact on your organization
Posted: 31 Oct 2013 | Published: 31 Oct 2013

Arrow and SAP

Harvard Business Review's Guide to Visualizing Data
sponsored by SAS
WHITE PAPER: The following Harvard Business Review report explores the current state of data visualisation. Hear from many leading authors on how to leverage data visualisation, and the right times to use it.
Posted: 24 Apr 2014 | Published: 24 Apr 2014

SAS

Information-led Transformation Planning, Modeling and Building New Intelligence Applications
sponsored by IBM
WHITE PAPER: This white paper discusses: What is an industry model? What is the value of industry models? Considerations for building or buying data models IBM Industry Models—business and technical blueprints Reducing time to value with IBM Industry Models
Posted: 24 Mar 2011 | Published: 24 Mar 2011

IBM

Improving Data Quality Through Data Modeling
sponsored by CA ERwin from CA Technologies
WEBCAST: Explore with William McKnight the factors involved and how organizations should go about valuing data quality through modeling and taking the right steps to remediate data quality defects throughout the enterprise.
Posted: 20 Oct 2010 | Premiered: Jul 22, 2010

CA ERwin from CA Technologies

A New Measure of Sales Success
sponsored by TechTarget Customer Experience
EBOOK: This expert guide divulges essential information on how to use the newest sales tools for customer prospect generation; bolster sales forecasting with data modeling; use location-based apps; and more.
Posted: 21 Nov 2014 | Published: 21 Nov 2014

TechTarget Customer Experience

Applying Business Analytics Webinar Series - Got Bad Data? Part 3
sponsored by SAS
WEBCAST: Tune in to this Webinar to find out how data quality influences the effectiveness of predictive analytics and forecasting. You’ll learn how to go beyond name and address matching to realize the potential of numerical data quality, how to overcome insufficient yet relevant data from your predictive and forecasting models, and more.
Posted: 09 Apr 2010 | Premiered: Apr 9, 2010

SAS

Business Oriented Information Architecture
sponsored by Sybase, an SAP company
WHITE PAPER: This paper outlines an information architecture (IA) and why it is useful in determining everything from the robustness of IT projects to testing business process scenarios to see if they satisfy the wide-ranging needs of your business. Read this now to learn more about IA, including its basic design, how to start your program and more.
Posted: 17 Apr 2012 | Published: 16 Apr 2012

Sybase, an SAP company

Full Demo: IBM Cognos 8 Business Intelligence
sponsored by IBM
PRODUCT OVERVIEW: Complete capabilities in one product, on a single architecture. See key features for both business and IT users, including Framework Manager, the Administration Console, and integration with Microsoft Excel.
Posted: 06 Oct 2009 | Published: 06 Oct 2009

IBM