- Big Data Analytics - Data Scientist
- Big Data Analytics - Data Analyst
- Key Stakeholders
- Core Deliverables
- Big Data Analytics - Methodology
- Big Data Analytics - Data Life Cycle
- Big Data Analytics - Overview
- Big Data Analytics - Home
Big Data Analytics Project
- Data Visualization
- Big Data Analytics - Data Exploration
- Big Data Analytics - Summarizing
- Big Data Analytics - Cleansing data
- Big Data Analytics - Data Collection
- Data Analytics - Problem Definition
Big Data Analytics Methods
- Data Analytics - Statistical Methods
- Big Data Analytics - Data Tools
- Big Data Analytics - Charts & Graphs
- Data Analytics - Introduction to SQL
- Big Data Analytics - Introduction to R
Advanced Methods
- Big Data Analytics - Online Learning
- Big Data Analytics - Text Analytics
- Big Data Analytics - Time Series
- Logistic Regression
- Big Data Analytics - Decision Trees
- Association Rules
- K-Means Clustering
- Naive Bayes Classifier
- Machine Learning for Data Analysis
Big Data Analytics Useful Resources
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Big Data Analytics - Key Stakeholders
In large organizations, in order to successfully develop a big data project, it is needed to have management backing up the project. This normally involves finding a way to show the business advantages of the project. We don’t have a unique solution to the problem of finding sponsors for a project, but a few guidepnes are given below −
Check who and where are the sponsors of other projects similar to the one that interests you.
Having personal contacts in key management positions helps, so any contact can be triggered if the project is promising.
Who would benefit from your project? Who would be your cpent once the project is on track?
Develop a simple, clear, and exiting proposal and share it with the key players in your organization.
The best way to find sponsors for a project is to understand the problem and what would be the resulting data product once it has been implemented. This understanding will give an edge in convincing the management of the importance of the big data project.
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