Data is an enormously valuable tool that can provide you with an upper hand in developing, presenting and marketing new products or services to your market. That said, you need expertise of analysts on hand who can gather, analyze and extrapolate valuable information from that data - something that not every company can afford to do.
Benefits of Proper Data Analysis
Data analysis provided by GA offers a number of solid benefits for businesses in a number of fields. During the data analysis process, we can inspect, clean and transform data to create representation that will highlight important information within your business and provide you with insights that give you a competitive edge over other companies in your industry. The goal of this advanced analysis is to provide you with the tools needed to make key decisions while receiving important conclusions that might otherwise have been hidden within massive, disorganized data sets.
Steps for Data Analysis
- Cleaning of the Data
- Data Coding
- Data Testing
- Analysis of mean & extreme variables
- Analysis of final output
Data processing Tools
- SPSS
- SAS
- Quantum
- Advanced Statistical tools
Technical Analysis involved in the process
- ANOVA Analysis Surveys
- SWOT Analysis
- Factor Analysis
- Value Cluster Analysis
- Conjoint Analysis
- Regression Analysis
- Discriminate Function Analysis
- Multi-dimensional Scaling
- Frequency Tables & Crosstab
- Financial Analysis
Charting & Reporting
Data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration tasks
Data integration involves combining data residing in different sources and providing users with a unified view of these data
Data warehouse or enterprise data warehouse (DW, DWH, or EDW) is a database used for reporting and data analysis. It is a central repository of data which is created by integrating data from multiple disparate sources.
Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD), a field at the intersection of computer science and statistics, is the process that attempts to discover patterns in large data sets.