Information Systems and Business Intelligence Key to Effective

Information Systems and Business Intelligence Key to Effective Decision Making in the Digital Age Copyright © 2016 Curt Hill

Business Intelligence • Two definitions – Technology-driven process for analyzing data and presenting actionable information to help corporate executives, business managers and other end users make more informed business decisions – A set of techniques and tools for the acquisition and transformation of raw data into meaningful and useful information for business analysis purposes Copyright © 2016 Curt Hill

The Need • External factors in the business environment create both threats and opportunities • These include – Changes in consumer demand – Competitive pressures – Changing regulations, • Businesses must respond – The more rapidly the better Copyright © 2016 Curt Hill

Yesterday and Today • In previous years executives attempted to process the data by logic and intuition – They still do – Sometimes they perceived it correctly and other times not • Today big data can be used as an objective source of information – We will see another presentation on big data Copyright © 2016 Curt Hill

The Planning Cycle • The planning cycle continues to grow shorter • Once it was five to ten years • It shorted to an annual cycle • Today it should be continuous – Things are changing too quickly to account for todays changes in next year’s planning cycle – Requires continuous monitoring – This is where information technology comes in Copyright © 2016 Curt Hill

Using a Database • Data and knowledge may be an enterprise’s most valuable resource • Interactive Web sites must use databases: – E-commerce makes extensive use of databases – Product catalog data are stored in databases and available to users – Customer billing and shipping – E-commerce applications process millions of transactions per day – Google does 3. 5 billion queries a day Copyright © 2016 Curt Hill

The Database • Briefly covered in Foundational Software presentation • We need to take a more detailed view – Data management history – Data mining and data warehouses Copyright © 2016 Curt Hill
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