Insightful research requires digitizing raw data colleted from survey/secondary resource and translating it into reformed & user friendly structure.

We at AbsolutData offer cost effective, high quality and faster turn around data processing services. By outsourcing data processing to AbsolutData, you can manage large volumes of unorganized data allowing you to focus on achieving core business/research objectives.

 

At AbsolutData we adopt automated data processing tools which help us to provide paramount data processing services to our clients. Our Data Processing cycle includes:

• Data preparation

• Data validation

• Editing and cleaning of data

• Open end coding

• Data aggregation and summarization

• Data tabulation 

• Weighting, statistical data analysis and interpretation

The data processing cycle and service is custom defined as per the requirements of client supplemented by rigorous Quality control measures. Clients can outsource the above stages in a modular format or the “whole process” in totality.

We use state-of-art softwares to render Data processing services to client. Some of these include Quantum, Quanvert, Wincross, SPSS, QBAL, Custom Program (VB etc.)

We can digitize data in a wide range of formats including Word, Excel, XML, SPSS, Custom.

AbsolutData has broad base experience and capabilities of handling from simple to large-scale/ multi-country/multi-wave data collected in different file formats. Our team is skilled in handling hierarchical data and complex weighting schematics requiring programming capabilities & data manipulation

• Multi-level netting structure

• Combo tables involving multiple calculated variables

• Share tables, funnel tables

• Statistics, Significance testing

• Open End Coding

• Weighting

  - Multi-level & Multi-variable weighting including preweights

  - Concept wise weighting

  - Efficiency reports and Capping

  - Substantial experience with IPF (Iterative Proportional Fitting)

• Combining data from multiple sources such as CATI, On-line, IVR

• Input data in various formats such as ASCII, CSV, Excel, SPSS

• Converting multi card data to single card flat ASCII data and vice versa

• Nth down the data (Randomly deleting extra cases from data file)

• Data Validation

• Derotation of variables