Online Analytical Report Recommender system
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J.Sreedhar, M. Neelima,D.Ramesh
:Abstract:
This project is a Recommender System for OLAP Reports, KPI’s,Scorecards and Business Dashboards.OLAP (Online Analytical Processing) is a powerful technology which performs multidimensional analysis of business data and lays a foundation to many kinds of business applications like Business Performance Management, Planning, Budgeting, Forecasting, Financial Reporting, Analysis, Simulation Models, Knowledge Discovery, and Data Warehouse Reporting. OLAP enables end-users to perform ad hoc analysis of data in multiple dimensions, thereby providing the insight and understanding they need for better decision making.
However It is very time consuming and requires lot of research and ground work to come up with the list of Business Questions, Metrics, KPI’s, Scorecards,Reports and Dashboards , Report Layouts etc. Our proposed framework does all the groundwork at back end and displays the proposed list of KPI’s, Reports and Dashboards to each user based on his Past History, Data Mart Accessibility, Frequently Accessed Reports and Seasonal Trends etc. It also provides Ranking to Metrics and KPI’s as per Users History. Users can easily select from the proposed list and access the reports then and there.
Keywords— OLAP, Online Analytical Processing, Data-warehousing Reports and Dashboard, Business Analytics,KPI’s, Scorecards, Key Performance Indicators, Decision Making Analytics, Recommender System for OLAP Reports
Online Analytical Report Recommender system
