Data analysis is a discipline where useful information and insights are derived from raw sets of data. Data mining is an important data analysis technique that focuses on predictive discovery rather than descriptive discovery of data. Data analysis comes in many forms and methodologies. Raw data is in various forms. They include measurements, survey responses, and field observations. Raw data can be useful only it they are analyzed in the right manner. In the process of organizing raw data, trends emerge often, and that is where data analysis comes in handy. Data analysis enables you to highlight the most important facet in the observation and organize the data for future lines of action.

Charts, data, pie charts, graphs, etc. are all variants of data analysis. You also need to adopt a critical stance when analyzing a set of data. This includes the sample data and the size of the sample. In a nutshell, you need to address the following questions to analyze the data correctly and conveniently:

• What is the source of your data?
• Is the existing data reviewed by analysts and peers?
• How was the data collected?
• Have the correlation and regression of the data been validated?
• Is your data valid at all?

Data analysis works via a number of strategic steps. They are as follows:

Exploratory and Insight Analysis:This stage encompasses:

• Pareto analysis
• Best and worst case analysis
• Identification of target market
• Product development strategies

Segmentation and Profiling:This stage encompasses:

• Segment identification
• Analysis of socio demographic data and other data
• Implementation of value segmentation modeling

Data Modeling

Predictive Modeling

Data Planning

Reporting and Outlining the Key Performance Indicators

A data analysis effort can bring a plethora of advantages to your organization. We discuss some of them here:

• Identify drivers of change and measure the growth of your organization
• A unified view of various business implementation techniques currently used
• Identify value components that are often ignored
• Identify data that would help you make better and informed decisions
• Identify data that would drive the quality and innovation engine of your organization
• Identify data that would give you a competitive edge
• Efficient tracking and measurement of key performance and growth indicators

Global-Ability supports its clients through advanced data analysis and analytic services that empower them to make informed decisions aligned with their corporate imperatives. Our technology and domain expertise enable us to deliver superior quality of service across many geographies. The key industries we serve include:

• BFSI
• Retail
• Manufacturing
• Pharmaceutical
• Telecommunications