Big Data
To analyze data successfully, it must first be prepared successfully. Poor quality data creates poor results. Worse yet is data that takes too long to collect and clean because it is too big or too foreign. Read More
Data Transformation
For the last 30 or so years, the precursor to most large scale business intelligence (BI) environments has been the Enterprise Data Warehouse (EDW). A data warehouse (DW) is usually a central database (DB) for reporting, planning, and analyzing summarized, subject-matter data integrated from disparate, historical transaction sources. Read More
Big Data
Has your organization considered using a data lake? This article explains what a data lake is, and posits a data lake architecture optimized for analytic results. Read More
Big Data
Linear regression is a staple data analysis function for financial, economic, research, and many other disciplines, that helps discover new data correlations. Users of the IRI Voracity platform can now simultaneously process big data from any number of sources and present customized trend lines to help business users make predictions. Read More
Big Data
“Progress is impossible without change, and those who cannot change their minds cannot change anything.”
-George Bernard Shaw
The mathematical symbol for change is the Greek uppercase letter delta: Δ. Read More
Big Data
In ancient times, the ability to process and analyze information was invaluable. Greek knowledge of astronomy gave rise to the Antikythera Mechanism, an analog computer with sophisticated bronze gears that predicted astronomical events like lunar phases and eclipses. Read More
Business Intelligence (BI)
The concept of mashups is a simple one: combining separate, typically heterogeneous elements into a single, compound, and useful system. A stick, some rope, and a sharp rock all have their worthy independent uses; but, when combined, they become a spear to make hunting and survival easier. Read More
Business Intelligence (BI)
Introduction: As with multiple BI platforms discussed throughout this section of the IRI blog site, this article analyzes the relative data preparation performance (and benefit) of using its external data wrangling engine – via the IRI CoSort product or Voracity platform — with QlikView when ‘big data’ sources are involved. Read More
Big Data
Introduction: As with multiple BI platforms discussed throughout this section of the IRI blog site, this article analyzes the relative data preparation performance (and benefit) of IRI CoSort with Tibco Spotfire when ‘big data’ sources are involved. Read More
Big Data
To compete effectively, business users must be able to rapidly produce and present accurate, concise, and compliant information. Whether the analytic discipline is diagnostic, descriptive, predictive, or prescriptive, time-to-visualization matters. Read More