Accessing Organizational Information
The company also uses data warehouse information to perform the following:
· Base labor budgets on actual number or guests served per hour.
· Develop promotional sale item analysis to help avoid losses from overstocking or understocking inventory.
· Determine theoretical and actual costs of food and the use of ingredients
History of Data Warehousing
Operational systems typically include accounting, order entry, customer service, and sales and are not appropriate for business analysis for the following reasons:
· Information from other operational applications is not included.
· Operational systems are not integrated, or not available in one place.
· Operational information is mainly current—does not include the history that is required to make good decisions.
· Operational information frequently has quality issues —the information needs to be cleansed
· Without information history, it is difficult to tell how and why things change over time.
· Operational systems are not designed for analysis and decision support.
Data Ware house Fundamentals
A data warehouse is a logical collection of information—gathered from many different operational databases—that supports business analysis activities and decision-making tasks.
Extraction, transformation, and loading (ETL), which is a process that extracts information form internal and external databases, transforms the information using a common set of enterprise definitions, and loads the information into a data warehouse.
MULTIDIMENSIONAL ANALYSIS AND DATA MINING
A cube is the common term for the representation of multidimensional information.
Data mining is the process of analyzing data to extract information not offered by the raw data alone.
Data-mining tools use a variety of techniques to find patterns and relationships in large volumes of information and infer rules from them that predict future behavior and guide decision making.
INFORMATION CLEANSING OR SCRUBBING
Information cleansing or scrubbing is a process that weeds out and fixes or discards inconsistent, incorrect, or incomplete information.
Business Intelligence
Business intelligence (BI) refers to applications and technologies that are used to gather, provide access to, and analyze data and information to support decision-making efforts.
A certain school of thought draws parallels between the challenges in business and those of war, specifically:
· Collecting information.
· Discerning patterns and meaning in the information.
· Responding to the resultant information.
ENABLING BUSINESS INTELLIGENCE
Technology – the most significant enabler of business intelligence.
People – Understanding the role of people in BI allows organizations to systematically create insight and turn these insights into actions.
Culture – A key responsibility of executives is to shape and manage corporate culture.
No comments:
Post a Comment