Data Analysis Services

Spade Survey provides complete data analysis services in India to various industry segments for both small and medium-sized businesses and large corporations.  

Data Analysis Services

Spade Survey helps you build smarter frameworks for rolling data to produce results, saving you time and money and removing you of complex data sheets. Spade survey covers the entire complex cycle of advanced data analysis, from data collection and purifying to financial modelling and implementation.

Spade Survey provides complete data analysis services in India to various industry segments for both small and medium-sized businesses and large corporations. Because of their experience and know-how, our hand-picked analyst has a wide range of industry expertise to assist you in making the best business decisions. We collaborate with top research institutions to keep our clients up to date on even minor changes in facts and figures in order to minimise risks and maximise profit.

Document Translation services

Data Analysis Services We Offer

At spade survey, we provide a wide range of data analysis services that are tailored to the client’s specific needs. We can handle any request because we have extensive experience working with global clients and catering to their complex needs. Spade survey provides the following specialised data analysis services:


  • Address Corrections
  • Duplication Removal
  • Name Style Conversion
  • Data Audit
market research services

Data cleaning

Any growing business must ensure that the data available at various locations is accurate, consistent, and conformant. Without the proper data, each team in your organisation will have its own version, potentially misinforming your clients and customers. It is critical to keep all of your data clean in order to avoid miscommunications and information gaps. Almost all businesses find it advantageous to outsource their data cleaning services to data management companies.

The quality of data is improved, streamlined, structured, and made easily accessible with the help of data cleaning or data scrubbing services. Spade Survey is India’s leading provider of data cleansing, data scrubbing, data verification, data duplication, and data management services. With over a decade of experience catering to national and international clients all over the world, we understand your business needs better than anyone else. We have a dedicated team of data cleaners who are well-versed in standard procedure, structure, and techniques for various industry sectors.

Data Tabulation

Spade Survey provides the ideal solution for all of your data tabulation needs at an unbeatable price! We are a leading data tabulation services provider that can provide you with customised services that are tailored to your specific requirements.

We also offer our services in a variety of formats and can work with a variety of software suites to extract value from your data. We are an experienced and dependable data tabulation service provider who can assist you in accurately tabulating data from multiple sources into a single source as well as providing intuitive data visualisations and insights.

Data Collection Services in Brazil

Are you Looking for Data Analysis Services

We provide a wide range of data analysis services that are tailored to the client’s specific needs.We can handle any request because we have extensive experience working with global clients and catering to their complex needs. 

Advanced Analytics

Spade Survey’s Advanced Analytics practise focuses on establishing a solid data foundation by organising disparate data and developing efficient data models, utilising advanced statistical models to identify data relationships and trends, and creating meaningful, understandable visualisations to assist you in extracting insights and informing better business decisions.

Our Advanced Analytics team of experts can assist you in establishing a simplified, centralised solution for accessing and connecting information from your various data sources, effectively applying statistical modelling to identify key relationships in the data that are undetectable to the human eye, and creating powerful visuals, all of which will allow you to fully utilise your data!

  • MaxDiff

Maxdiff analysis reveals preferences. Similarly, businesses can use it to make final decisions in a variety of areas. It also aids in focusing on critical areas. It also makes the best use of the budget by analysing the survey responses. This process then enables the company to make the best possible decisions for it. Other survey types, such as rank order, matrix, and rating scales, do not have this capability. As a result, this method makes an excellent research tool.

This method works best with single-level preference data. It’s useful when businesses need to make important decisions, such as the most popular type of soda. As a result, Maxdiff gives customers a say in which products remain on the shelf and which are removed.

  • Factor Analysis

Our Factor Analysis solutions serve as an excellent data reduction technique, particularly useful for condensing a large number of interconnected variables into a small number of themes. Many profound solutions can be found with utmost precision and capacity by reducing big data.

This is a statistical method used to investigate the dimensionality of a set of variables. Dormant variables represent undetected paradigms and are denoted as factors or dimensions in this context. The technique is primarily used to determine the dimensionality of a measurement instrument by identifying the fewest number of interpretable factors required to explain the relationships between a set of variables.

Market research studies frequently gauge fulfilment intensities on a wide range of service aspects, with the goal of reaching the correct conclusions to specific industry problems. Because of the large number of items included, the utility of other techniques is reduced. This is where Factor Analysis comes into play, reducing the number of items into a much smaller group of elements, each of which clarifies a distinct scope of service.

  • Conjoint analysis

The insights gained from a company’s product feature conjoint analysis can be applied in a variety of ways. Pricing strategy, sales and marketing efforts, and research and development plans are frequently influenced by coupling analysis.

Conjoint analysis works by asking users to directly compare different features to see how they value each one. When a company understands how its customers value the features of its products or services, that knowledge can be used to develop its pricing strategy.

  • T  Tests

The goal of parametric tests is to provide the researcher with a statistical inference about the population by running statistically significant tests (such as the t-test) on a population sample. The t-test is a parametric test based on the t statistic of a student. This statistic assumes that the variables are drawn from the general population. The population mean is assumed to be known in this t-test statistic. The t-distribution has a bell-shaped appearance, similar to the normal distribution.

  • Decision Tree

The Decision Tree is the most powerful and widely used tool for classification and prediction. A Decision tree is a tree structure that looks like a flowchart, with each internal node representing a test on an attribute, each branch representing a test outcome, and each leaf node (terminal node) holding a class label.

Statistical Testing and Multivariate Analysis

Statistical tests come in a variety of forms, depending on the nature of the study. Statistical tests allow you to make quantitative decisions about a specific sample. Statistical tests primarily test hypotheses about the significance of an observed sample.

Multivariate data analysis is a type of statistical analysis in which more than two dependent variables are used to produce a single result. Many problems in the world can be used as practical examples of multivariate equations because everything happens for a variety of reasons.

Data Entry

Having trouble extracting data from multiple sources? Then you require efficient data entry assistance. Every corporation, large or small, processes and accumulates massive amounts of data on a daily basis. The first step in making the most of this data is to accurately capture it and make it easy to retrieve.

Outsource data entry services to a reputable service provider like us to efficiently record, collate, and use your data. As a data entry outsourcing company, we understand the importance of data entry for effective data management and relieve you of this time-consuming task. We deliver quick and efficient services that precisely cater to your needs by utilising cutting-edge tools and a qualified team of skilled data entry specialists.

Open End Coding

Open ended coding, also known as verbatim coding, is a highly skilled area of market research projects that has the potential to generate a massive volume of valuable market information and insight. This is a benefit of open ended coding that is not available in a closed ended coding system. We are even aware that open-ended coding and response structures are case sensitive and cannot be generalised.

We offer expert survey formatting services to compile and produce cleaned data after validating, editing, and open end coding it with tools such as SPSS, Quantum, Win Cross, Excel, or Access, as well as any other database and analysis software as required. Our expert coding knowledge in Ascribe, as well as internal software, ensures both manual and automatic processing.

Our coding expertise spans multiple industries, including technology, ad testing, and consumer packaged goods. We understand and code open-ended responses (verbatim) with ease and accuracy while adhering to our clients’ standards.

Data Cleansing, Data Scrubbing,
Data Verification, Data Duplication Management Services

Spade survey provides high-quality Data Analysis Services at cost-effective price

Benefits of Outsourcing Data Analysis to Spade Survey

As a global provider of data analysis services, Spade Survey has extensive experience assisting international clients in complying with data protection laws. Because the need for effective compliance is still growing, you may be able to stay ahead of the competition in a critical area over time.

Whether you need infographics, database repairs, PowerPoint presentations, data modelling, or decision trees, Spade survey provides unbiased data analysis at a competitive price without sacrificing quality.

Spade surveys can assist auditors during peak seasons, freeing up internal resources for other tasks. We can also help corporate clients deal with downsizing initiatives that result in short-term data analysis shortages.

Spade Survey provides additional data management services. You can also work with a single reputable and experienced provider if you prefer.


Data analysis is the process of cleaning, analysing, interpreting, and visualising data in order to discover valuable insights that will assist businesses in making better, more efficient decisions. Data analysis tools can be used to extract useful information from business data and to improve the efficiency of the data analysis process. Data analysis includes not only data analysis but also data collection, organisation, and storage, as well as the tools and techniques used to dig deeper into the data and communicate the results, such as data visualisation tools. The transformation of raw data into useful statistics, information, and explanations is the focus of data analysis.
The main difference between analytics and analysis is one of scalability. Data analytics is a general concept for data analysis. Data analysis is the examination of data. Data analysis strategies and tools include data collection, organisation, storage, and analysis.
1. Enhances Decision Making 2. Converts to a Successful Marketing 3. Enhances Customer Service 4. Boosts operational efficiency
Everyone, from cloud companies like Amazon to healthcare providers and financial institutions, appears to be developing a big data strategy. Every mobile phone user, for example, receives a monthly bill that records every call and text; processing the sheer volume of that data can be challenging. Software logs, remote sensing technologies, and information-sensing mobile devices all present a data volume challenge. The size of Big Data can be proportional to the size of the enterprise. It could be hundreds of gigabytes for some, and tens or hundreds of terabytes for others.