理論および計算科学ジャーナル
オープンアクセス

概要

Top 10 tips on Big Data

Richard Boire

The Top 10 tips of Big Data Analytics is as follow. Firstly Identify the right problem, Fact gathering and analytics will solve the problem. In Fact, gathering all information and reports that are pertinent to the issue, Conducting new analysis with available data. Get Stakeholders Onside Analytics, I/T, Operation, Marketing and Finance. Extent of Involvement will depend on complexity of project Example: Response Model vs. Profitability or Future Value Models Example: Building Real-Time Predictive Analytics Solutions. Key Success Factor: Constant ongoing communication led by the analytics practitioner. Develop a solution that does the following: Easy to implement, Demonstrates significant business benefit. RFM analysis (Recency, Frequency, and Monetary Value). Use of above metric to create overall index (RFM).