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3 Apr, 2019

Effective Data Warehouse Testing Strategy

03 April, 2019
Wayne Yaddow
Data Warehousing

Preparing a data warehouse testing strategy can ensure the successful development and completion of end-to-end testing of any data warehouse, data mart, or analytical environment. Introduction Organizations need to learn how to build an end-to-end data warehouse testing strategy. This is most often necessary because the success of a data warehousing project is highly dependent upon the team’s ab

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20 Mar, 2019

Introduction to Data Warehouse Testing

20 March, 2019
Wayne Yaddow
ETL

An Overview of Data Warehouse Testing Data warehouse and data integration testing should focus on ETL processes, BI engines, and applications that rely on data from the data warehouse and data marts. Introduction There is little that casts doubt on a data warehouse and BI project more quickly than incorrectly reported data.  It is crucial that data warehouse project teams do all in thei

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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

1,030 views

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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

1,817 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

1,934 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

1,778 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

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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

2,075 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

4,581 views

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1 Oct, 2017

Agile Framework for Managing and Measuring Enterprise Business Intelligence

01 October, 2017
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

1,962 views

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