Enterprise Modeling Reports

AI & Automation: Turning data into insights
sponsored by TechTarget ComputerWeekly.com
EGUIDE: In this e-guide, read more about the trends that are shaping the demand for AI and how organizations including healthcare service providers and F1 racing teams are leveraging technology on their own terms.
Posted: 08 Feb 2021 | Published: 11 Jul 2018

TechTarget ComputerWeekly.com

Business-Model-Driven Data Warehousing: Keeping Data Warehouses Connected to Your Business
sponsored by Kalido
WHITE PAPER: This paper analyzes the issues of conventional data warehouse design process and explains how this practice can be improved using a business-model-driven process in support of effective Business Intelligence.
Posted: 04 Jun 2008 | Published: 01 Jun 2008

Kalido

Sybase IQ Powers Predictive Analytics
sponsored by Sybase, an SAP company
WHITE PAPER: Sybase IQ is a market-leading analytics server which enables organizations to perform deep analysis of massive amounts of data, accessed by multiple users requiring answers in real time.
Posted: 25 Mar 2011 | Published: 25 Mar 2011

Sybase, an SAP company

Utilizing Data-aware Storage in the Age of Convergence
sponsored by IBM
EGUIDE: Access the latest on converged, data-aware storage architectures, which seek to improve performance optimization through smart deduplication and compression schemes, app-aligned caching and tiering, policy-definable QoS, and data protection schemes. Additionally, discover why flash is crucial to convergence.
Posted: 03 Nov 2016 | Published: 27 Oct 2016

IBM

SAP predictive analysis: What you need to know
sponsored by HP Inc
WHITE PAPER: Read on to find details about SAPs BusinessObjects Predictive Analysis, including how the NBA used HANA to help cater to stat-hungry fans.
Posted: 27 Aug 2013 | Published: 27 Aug 2013

HP Inc

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.

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

SAP CRM Rapid Deployment Solution
sponsored by SAP America, Inc.
RESOURCE CENTER: See how the SAP CRM Rapid Deployment Solution – helps organizations to get essential CRM capabilities, quickly at an affordable price and provides customers options to grow as their businesses grow
Posted: 23 Mar 2011 | Published: 23 Mar 2011

SAP America, Inc.

Predictive Analytics in Action: Real-World Examples and Advice
sponsored by TechTarget Business Analytics
EGUIDE: Building predictive models is a complex, time-consuming process that demands a lot of skill. This expert e-guide reveals key steps to develop and implement a successful predictive analytics initiative. Discover how you can monitor the accuracy of predictive models, identify ideal candidates for predictive analytics teams, and more.
Posted: 19 May 2014 | Published: 19 May 2014

TechTarget Business Analytics

IBM InfoSphere DataStage Performance and Scalability Benchmark White Paper 
sponsored by IBM
WHITE PAPER: This paper highlights the performance and scalability potential of InfoSphere DataStage 8.1 based on a benchmark test simulating a data warehouse scenario. The benchmark is designed to use the profiled situation to provide insight about how InfoSphere DataStage addresses customers' key FAQs when designing their information integration architecture.
Posted: 24 Mar 2011 | Published: 24 Mar 2011

IBM