This document discusses how big data analytics can be used across various organizational functions including sales and marketing, finance, manufacturing and operations, and human resources. Some key benefits mentioned include using big data for marketing optimization, personalized offers, customer retention, predicting customer behavior, fraud detection, risk assessment, production forecasting, supplier performance, workforce forecasting, reducing attrition, and improving talent management. The document was created by a team for an organization to outline uses of big data analytics across different departments.

1. USE OF BIG DATA IN ORGANIGATION
BY TEAM VISION
Made By :- Clyde Gonsalves
Amit Singh
Vivek Shrotriya
Deepak Patel
Date:- 07/11/2017

2. Sales and Marketing
1. The Big Data Analytics help to Marketing Optimization and Performance (
e.g.: tracking of advertising, budget management)
2. Real time Personalization :- The big data combine with machine and give
us markets opportunity to personalize they offer to individual customer
3. Help us to Improve Customer Retention
4. More Clearly it define us Ideal Customer

3. 1. It Help the Company to Improve The content of Marketing
2. By the help of Predictive Analytics We can successfully predict the
customer buying Behaviour
3. Market Research : The online Survey of product is easy and inexpensive ,
it also target the particular age group
4. Reputation Management : With The help of big Data our Company
mention of our brand name in many different website or any social media
5. It also help us to analyse the competitor’s of our company

4. Finance
1. Predicting movements on stocks and investments
2. Revamped Compliance and Reporting System
3. Fraud Detection
4. Customer Segmentation Analysis
5. Credits Risk Assessment
6. 360-Degree Customer Service

5. Big Data & Analytics in Bank
Spending
Patterns
Behavior
Channel
Usage
Product
Portfolio
Bank
Interaction
Social
Media
Customer
Profitability

6. Manufacturing And Operations
1. It help us to increasing the accuracy, quality and yield of production of
company
2. It give us better forecast of product demand and production, understanding
of plant performance across multiple metrics
3. Greater visibility into supplier quality levels, and greater accuracy in predicting
supplier performance over time
4. Measuring the compliance and traceability to the machine level becomes
possible ( use of sensors will provide the machine efficiency

7. 1. Breaking quality management and compliance systems out of their silos
and making them a corporate priority
2. Quantify how daily production impacts financial performance with
visibility to the machine level
3. Integrating advanced analytics across the Six Sigma DMAIC(Define,
Measure, Analyze , Improve and Control)
4. Selling only the most profitable product

8. Human Resource
1. Aggregating The Data : The BA help in the aggregation of data and
enable automated reporting
2. It help to forecast the workforce requirement and utilization
3. Optimization of talent through development and planning
4. It help us to find primary reasons for attrition rate and high value
employee

9. 1. Enabling HR to demonstrate its benefaction to achieving corporate goals
2. Recognize the factors which turn the employee satisfaction and
productivity
3. To determine the individuals KPIs on the business
4. Manages applicants in better way on basis of qualification for a specific
position