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29 Mar, 2018
Ensuring Speed, Flexibility and Agility with Self Service Analytics
29 March, 2018
Patricia L. Saporito
Data Warehousing
Introduction Today’s digital world and fast paced business environment demands pervasive, timely analytics. Organizations must deliver speed, agility and ease of use for data access and analytics. In response, business intelligence (BI) and analytics teams are shifting to a more agile, self-service model that enables greater user access to data and the ability to create and perform individualize
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5 Mar, 2018
Improving the ROI of Big Data and Analytics through Leveraging new Sources of Data
05 March, 2018
Bart Baesens
Data Warehousing
Investing in new sources of data can help to unravel complex customer behavior and improve key analytical insights Introduction Big Data and Analytics are all around these days. Most companies already have their first analytical models in production and are thinking about further boosting their performance. Far too often, they focus on the analytical techniques rather than on the key ingredient: d
1,516 views
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27 Sep, 2017
Building a Rock Solid Data and Analytics Strategy
27 September, 2017
Patricia L. Saporito
Analytics
Every organization’s analytics strategy should be connected to its data strategy; and every organization should have a data strategy that supports its business strategy Introduction Like the lyrics in the children’s song Dem Bones, “the hip bone’s connected to the thigh bone”, your data strategy is connected to your analytics strategy – or it should be! Further, your analytics strategy
1,423 views
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21 Jul, 2017
Challenges of Data Warehouse Re-Architecture
21 July, 2017
Bruce D. Johnson
Data Warehousing
Data warehouse / business intelligence / analytics environments require business and IT cooperation for successful architecture and design Introduction In working with many large corporations across a variety of industries, it is clear that we all face the reality of re-architecting data warehouses, whether we want to admit it or not. Since data warehouses are business driven (rethink your strateg
1,073 views
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23 Feb, 2017
Data Warehouse Standards
23 February, 2017
Sid Adelman
Data Warehousing
Standards are different from guidelines. Standards are firm and must be followed. Successful data warehouses use standards Introduction Many dog owners give their dogs what they consider to be commands. They are really more like guidelines. ("Boscoe come!… pause, pause, pause… Well I guess Boscoe is busy with his chewy toy and doesn't want to come just now.") A number of organizations
2,144 views
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1 Oct, 2010
Increasing the Business Value of Business Intelligence
01 October, 2010
Mark Mosely
Data Warehousing / Business Intelligence / Analytics
Organizations can find increased value in business intelligence and analytics efforts through the use of various data delivery strategies. Introduction Like many organizations, your company probably has invested significant time, effort, and money into establishing your data warehousing and business intelligence environment. You’ve built the databases and the ETL programs to move, clean and in
1,365 views
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20 Mar, 2015
Foundations of Data Warehousing
20 March, 2015
David Marco
Data Warehousing
Data warehousing is the proven architecture for delivering subject-oriented, stable, analytical information for decision making. Effective data warehouse development provides many business benefits. Introduction A data warehouse is an enviroment that combines an integrated decision support database with software to collect, cleanse, transform, and store data from a variety of operational and ext
2,408 views
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1 Oct, 2008
Agile Framework for Managing and Measuring Enterprise Business Intelligence
01 October, 2008
Karthikeyan Sankaran
Data Warehousing
To be agile, business intelligence and analytics systems need frameworks and metrics to enable stable evolution. Introduction Enterprise Business Intelligence and analytics solutions are complex implementation efforts because of the Develop – Support (Growth-Sustain) cycles followed concurrently. Every enterprise wide BI system continuously evolves over a period with new business functionality
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1 Oct, 2008
Dimensional Data Modeling Fact Qualifier Matrix
01 October, 2008
Pete Stiglich
Data Warehousing
Fact Qualifier Matrix capabilities can be expanded to improve the value of conformed dimensions in business intelligence and analytics systems Introduction The venerable Fact Qualifier Matrix (FQM) has been a tool long used for demonstrating for dimensional models how fact and dimension tables intersect to ensure that dimensional models are conformed. A key principle of dimensional modeling is th
1,632 views
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1 Apr, 2007
Performance Benefits of Surrogate Keys in Dimensional Models
01 April, 2007
Pete Stiglich
Data Warehousing
There are many benefits to implementing surrogate keys in a dimensional model design for a data warehouse data model Introduction There are many reasons for implementing surrogate keys in Dimensional Models (enterprise data modeling) such as insulating dimensions from changes to source systems and enabling historical versioning of dimension members. However, query performance in the data warehouse
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