N J Taylor A337 Accounting Information Systems. Topics Business Intelligence Data Quality XBRL.

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Presentation transcript:

N J Taylor A337 Accounting Information Systems

Topics Business Intelligence Data Quality XBRL

Enterprise Systems

“Enterprise” Systems Enterprise Resource Planning (ERP) Systems –Operational data in a single database Data Warehouse –Decision data in a single “extracted” database –Can be a subset of the data (data mart)

Business Intelligence

Extract, Transform, Load (ETL) From Computerworld QuickStudy

Data Quality

Data Quality: What is Dirty Data? Potential Problems? Inventory Reorder Profit per unit  Net profit Customer Satisfaction –Less Repeat Business –Angry Bloggers Solution: Same code for vendor and retailer No translation necessary (like MAC address) Data Integrity: Wal-Mart's Dirty Secret

Web Scraping and Data Quality Poor data quality can lead to poor decisions (GIGO) Cleanup can be costly because it often involves human effort Demo (Madonna of Foligno (Raphael)Madonna of Foligno (Raphael

Web Scraping and Data Quality XML This is Raphael's "Foligno" Madonna, painted in 1511 – Web Services –Allows computer-to-computer communication. –Data representation can be a challenge - e.g. Historical stock price for Sun Microsystems (SUN, JAVA, ORCL)