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Business intelligence (BI) and analytic technologies are seeing rapid growth in today's .. using multiple file types, such as Adobe PDF, HTML, Microsoft Excel. Business Analytics. Principles, Concepts, and. Applications. What, Why, and How . Marc J. Schniederjans. Dara G. Schniederjans. Christopher M. Starkey. Product and company names mentioned herein may be trademarks of their respective companies. Fundamentals of. Business Intelligence by Mark Peco.
Operational data , OLTP are an original source of data. Purpose of Data For any kind of current or fundamental business tasks. To help with future planning, problem-solving or decision making. Data Updating End users initiated data frequently insert or update in the transactional database.
Data updated based on a batch job after one defined time interval. This time can be less or more than one day.
Processing Speed As usual typically very fast. Obviously depends on the amount of data. After refreshing batch data, sometimes complex queries are taken more than hours. Common habit to add an index to improve the speed.
Space requirement Again relative small considering historical data in the archived state. Obviously larger as it has to hold all the historical data, the existence of aggregation structures , also require more indexes than OLTP.
Database Architecture Normalized data, so all the tables and data have a proper relationship. Typically de-normalize of few tables like factor dimensions. It normally used a star or snowflake schema. Instead of regular backups, some environment may consider simply reloading the OLTP data as a recovery method. What is dashboard in a data warehouse?
Answer: The dashboard is nothing but the arrangement of all the reports and graphs on one page. It is nothing but the collection of reports in a different format which has same functionality display on the same page.
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On-the-Go Analytics with Mobile Mobile analytics is nothing new.