Reporting involves users selecting predefined reports to view results in standardized formats like tables and graphs. Reports are inflexible and generated without human involvement beyond the initial request. Analysis provides answers to specific questions through a customized and flexible process that involves a person guiding the analysis. Both reporting and analysis are needed to succeed with big data.

1. ANALYSIS VS REPORTING

2. • Organization 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.