Business Intelligence Software
SUMMARY
Hillman Group, Avnet, and Quaker Chemical: Process Transformation through Business Intelligence Deployments
Business intelligence (BI) is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. BI applications include the activities of decision support systems[->0], query[->1]and reporting, online analytical processing (OLAP[->2]), statistical analysis, forecasting, and data mining[->3].
Business intelligence applications can be: Mission-critical and integral to an enterprise[->4] 's operations or occasional to meet a special requirement Enterprise-wide or local to one division, department, or project Centrally initiated or driven by user demand
This term was used as early as September, 1996, when a Gartner Group report said:
By 2000, Information Democracy will emerge in forward-thinking enterprises, with Business Intelligence information and applications available broadly to employees, consultants, customers, suppliers, and the public. The key to thriving in a competitive marketplace is staying ahead of the competition. Making sound business decisions based on accurate and current information takes more than intuition. Data analysis, reporting, and query tools can help business users wade through a sea of data to synthesize valuable information from it - today these tools collectively fall into a category called "Business Intelligence." CASE STUDY QUESTIONS
1. What are the business benefits of BI deployments suck as those implemented by Avnet and Quaker Chemical? What roles do data and business processes play in achieving those benefits
Business Intelligence solutions help the key people in your organization make decisions based on information that is current, accurate and relevant. Business Intelligence Software is used to give deep insight into your business, to make faster decisions, to drive cost saving and to
Hillman Group, Avnet, and Quaker Chemical: Process Transformation through Business Intelligence Deployments
Business intelligence (BI) is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. BI applications include the activities of decision support systems[->0], query[->1]and reporting, online analytical processing (OLAP[->2]), statistical analysis, forecasting, and data mining[->3].
Business intelligence applications can be: Mission-critical and integral to an enterprise[->4] 's operations or occasional to meet a special requirement Enterprise-wide or local to one division, department, or project Centrally initiated or driven by user demand
This term was used as early as September, 1996, when a Gartner Group report said:
By 2000, Information Democracy will emerge in forward-thinking enterprises, with Business Intelligence information and applications available broadly to employees, consultants, customers, suppliers, and the public. The key to thriving in a competitive marketplace is staying ahead of the competition. Making sound business decisions based on accurate and current information takes more than intuition. Data analysis, reporting, and query tools can help business users wade through a sea of data to synthesize valuable information from it - today these tools collectively fall into a category called "Business Intelligence." CASE STUDY QUESTIONS
1. What are the business benefits of BI deployments suck as those implemented by Avnet and Quaker Chemical? What roles do data and business processes play in achieving those benefits
Business Intelligence solutions help the key people in your organization make decisions based on information that is current, accurate and relevant. Business Intelligence Software is used to give deep insight into your business, to make faster decisions, to drive cost saving and to