Analysis vs reporting

Data Analytics

1. ANALYSIS VS REPORTING

2. O rganization need both reporting and analysis to succeed in taming big data. Reporting It is also called as Business Intelligence (BI) environment . Users select reports they want to run, get reports executed and view results . Reports contain tables, graphs, charts in any combination.

3. The key factors that define a report include It provides back to the user that data was asked for. The data will be provided in a standardized predefined format . No person involved in generating a report outside of the user who requested the report through reporting interface. Reports are fairly inflexible which is a complicated report templates are created with a variety of prompts and filters .

4. The key points that define an analysis Provide answer to the questions being asked. Analysis process takes any steps needed to get the answers to those questions. It is customized to the specific questions being addressed. It involves a person who guides the process. It is flexible.

5. Summary of Analysis versus Reporting

6. MODERN DATA ANALYTICS TOOLS Statistical perspective is a modeling orientation. Basic statistical concepts include probability, sampling, inference, intelligent data analysis such as cross validation and bootstrapping. Statistical model structures . Bayesian approach Support Vector Machine Time series Rule Induction Neural Network Probability, theories of inferential statistics, stochastic uncertainty, fuzzy numbers. Stochastic search and optimization method includes simulated annealing and genetic algorithms.