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Data Integration Challenges in Onboarding Operational Data
sponsored by Expressor Software
WHITE PAPER: Read this white paper to learn how to overcome onboarding operational data challenges.
Posted: 10 Oct 2011 | Published: 10 Oct 2011

Expressor Software

BI and ETL Process Management Pain Points -- Cisco WP
sponsored by Cisco Systems, Inc.
WHITE PAPER: You must ensure that the processes that move data from source to target systems run smoothly and quickly and that any errors are identified and resolved rapidly. This white paper takes a closer look at five common BI and ETL process management challenges that companies must address to deliver accurate data in a timely manner.
Posted: 29 Jul 2011 | Published: 29 Jul 2010

Cisco Systems, Inc.

Implementing Metadata-Driven ETL Using Semantic Types
sponsored by Expressor Software
WHITE PAPER: Read this white paper to learn how you can overcome many data integration challenges.
Posted: 10 Oct 2011 | Published: 10 Oct 2011

Expressor Software

BI and ETL - Process Management Pain Points
sponsored by Cisco Systems, Inc.
WHITE PAPER: Sound business intelligence (BI) reporting can be invaluable in helping your business peers make the best decisions for your company. Ensuring error-free, end-to-end integration of data between processes distributed throughout your organization, however, can be challenging. Learn how scheduling and process automation technologies can help.
Posted: 14 Feb 2012 | Published: 14 Feb 2012

Cisco Systems, Inc.

Oracle Database 11g Release 2 for Data Warehousing and Business Intelligence
sponsored by Oracle Corporation
WHITE PAPER: This white paper provides an overview of Oracle's capabilities for data warehousing, and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.
Posted: 05 Aug 2011 | Published: 05 Aug 2011

Oracle Corporation

E-Book: Best Practices for Buying Business Intelligence Technology
sponsored by IBM
EBOOK: The BI market offers a dizzying array of technology options. From collecting organizational requirements, writing RFPs, conducting evaluations and running proof of concept projects, there is a lot involved in BI purchases. Read on to get straightforward advice from industry analysts and expert practitioners.
Posted: 13 Jan 2011 | Published: 13 Jan 2011

IBM

Business Intelligence on a Budget: Is Software as a Service Business Intelligence right for your organization?
sponsored by Indicee
WHITE PAPER: With no upfront cost and minimal effort required for set up, SaaS BI solutions are ideal for small to mid-sized businesses, for addressing specific business needs or when few IT resources are available. SaaS BI solutions quickly provide access to critical reporting and analysis without the time needed for a full-blown on-premise BI implementation.
Posted: 05 Apr 2010 | Published: 05 Apr 2010

Indicee

Common BI and ETL Process Management Pain Points and How to Handle Them
sponsored by Cisco Systems, Inc.
WEBCAST: This webcast discusses the most common BI and ETL process management pain points experienced by BI operations staff as well as strategies for addressing them. Learn how to face process issues, design processes that are efficient and resistant to common problems, and learn real-life examples of successful implementations.
Posted: 29 Apr 2010 | Premiered: May 13, 2010, 14:00 EDT (18:00 GMT)

Cisco Systems, Inc.

The Evolution of Integration
sponsored by Talend
WHITE PAPER: Over the recent years, data integration has been growing from simple data movement to complex transformation functions, and modern data integration technology now enables organizations to deploy data integration technology.
Posted: 07 Aug 2013 | Published: 01 Jan 2007

Talend

TDWI Checklist Report: Data Requirements for Advanced Analytics
sponsored by SAS
WHITE PAPER: This checklist lists and explains data requirements that are unique to advanced analytics. This report focuses on the data requirements of advanced analytics so organizations may become better equipped to populate a data warehouse or analytic database with data and data models that ensure the success of advanced analytic applications.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS
 
 
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