Terminology, Semantics and the Meanings of Names
Basic terminology principles help to understand how naming conventions can be formed and then applied to relate the meanings of…
Data-Driven and Agile Methods: Can We Get Along?
It is possible for data-driven principles to be reconciled with those espoused by Agile enthusiasts, and these data-driven methods are…
Data Warehousing ROI: Justifying and Assessing a Data Warehouse
Drawing on the data warehousing literature, survey data, theory, and eight case studies, seven justification and assessment propositions are presented.
Four Ways to Build a Data Warehouse
It has been said there are as many ways to build data warehouses as there are companies to build them.
Data Warehousing ROI: Justifying and Assessing a Data Warehouse
Data warehouses require a sizeable commitment of organizational resources. As a result, there is considerable interest in how they are…
Business Intelligence Solution Evolution: Adoption and Use
The global enterprise resource planning (ERP) systems industry blossomed in the 1990s automating back office operations. These systems have now…
When Business Intelligence Equals Business Value
We will address how business intelligence value means getting the right information to the right user at the right time.
Ten Mistakes to Avoid When Selecting and Deploying BI Tools
Keep in mind: the goal is not to find the “best tool” but to find the “best fit.” Every BI…
Integrating Structured and Unstructured Data Using Text Tagging and Annotation
The nature of unstructured data makes it hard to search, retrieve, and analyze; directly integrating it with structured data is…
From Short Stack to Competitive Advantage: IHOP’s Pursuit of Data Quality
Driven by the need to better understand its business, the International House of Pancakes (IHOP) appointed a data quality team…