I was always curious to learn this Business Intelligence thing from my Green Field training days at Accenture. They used to call it Business Warehouse those days. I am excited and little bit filled with this eery feeling of my new journey into the beautiful world of DATA and my morning class at 8am.
We had first class with Dr. Sudha Ram and she gave a brief overview of BI and Google analytic for which we would be making our team project.
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, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining.
Business intelligence applications can be:
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."
Coming on to Google analytics, I read this good article which tells us about it:
Google Analytics (GA) is a free service offered by Google that generates detailed statistics about the visitors to a website. The product is targeted towards marketers rather than webmasters and technologists.
GA can track visitors from all referrers, including search engines, display advertising, pay-per-click networks, email marketing and even digital collateral such as links within PDF documents.
Integrated with AdWords, users can optimize online campaigns by tracking landing page quality and conversions. Goals might include sales, lead generation, viewing a specific page, or downloading a particular file. These can also be monetized. By using GA, marketers can determine which ads are performing, and which are not, providing the information to optimize or cull campaigns.
Link to the above reference can be found @ http://www.crunchbase.com/product/google-analytics
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, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining.
Business intelligence applications can be:
- Mission-critical and integral to an enterprise'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."
Coming on to Google analytics, I read this good article which tells us about it:
Google Analytics (GA) is a free service offered by Google that generates detailed statistics about the visitors to a website. The product is targeted towards marketers rather than webmasters and technologists.
GA can track visitors from all referrers, including search engines, display advertising, pay-per-click networks, email marketing and even digital collateral such as links within PDF documents.
Integrated with AdWords, users can optimize online campaigns by tracking landing page quality and conversions. Goals might include sales, lead generation, viewing a specific page, or downloading a particular file. These can also be monetized. By using GA, marketers can determine which ads are performing, and which are not, providing the information to optimize or cull campaigns.
Link to the above reference can be found @ http://www.crunchbase.com/product/google-analytics
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