Data Analysis - statswork

Data Analysis services

Statswork- The leading consultancy offering complete, customised Data analytics Services
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We provide data analysis in a multifaceted way that simplifies your needs. Our leading experts and statisticians, help you to derive insights and facts from your data, which will enable you to arrive at thoughtful decisions. We deploy numerous techniques and use leading software like Python, Minitab, RevMan, R, Power BI, EViews, SPSS, AMOS, etc. We completely create a customised service that meets your requirements in all aspects. Our service enhances your research by offering the most sophisticated methods and tools for both Quantitative Analysis and Qualitative Analysis, including advanced data analytics
Explore the depths of your domain and get outstanding results which will never fall below the scale of eminence. With our Advanced Data Analysis, you can utilise the undiscovered potential for better decision-making with actionable insights. Act wisely in your progression through informed decision-making.
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21+ Years of Experience
Standardized & secured data
Recurring Clients
ISO Certified
1200+ FTEs
Data Security
24*7 Availability
Our Apporaches
Qualitative Analysis

Qualitative Data Analysis

Our statistical specialists are extremely skilled at handling numerical data effortlessly. They guide you to make strategic initiatives that will take you places.
Quantitative Data analysis

Quantitative Data analysis

Analyse your non-numerical data with our leading experts and statisticians to derive objective insights.. This will make your decision-making even more deliberate
Meta Analysis service

Meta Analysis

Skilled statistical analysts and subject matter experts at statswork deliver objective solutions on problems through complete analysis from multiple perspectives
Data Analysis

Data Analysis 

Discover hidden trends from your raw data and turn them into valuable facts and reasons that supports decision-making. 
Data Strategy Development 

Data Strategy Development 

Combine your vision with our execution and craft a strategised plan that aligns with your goals. We optimize your data to fuel your progress with more accuracy
Data Analytics Consulting 

Data Analytics Consulting 

Get assistance from our team of experts who will provide you with precise recommendations
Predictive Analytics 

Predictive Analytics 

Predict the future trends and patterns with our advanced predictive analysis methods. Predict your opportunities and challenges to stay ahead of the competitive curve.
Educational Analysis

Educational analysis

We systematically examine educational interventions and its effectiveness with our multiple analysis methods to improve the educational experience for overall stakeholders
Analytics & Reporting  

Analytics & Reporting  

Get a standardised analytics report from our analytics services, helping you communicates research findings in a digestible manner.
Digital Analytics

Digital Analytics 

Track your digital presence and optimise your strategy with our digital analytics services .
Data Preprocessing

Data Preprocessing 

Regulate your raw data into accurate and properly formatted data with our seamless data preprocessing methods
Data Entry

Data Entry  

Structure your data in a way that it is easier to retrieve and use
Data Management 

Data Management 

Effectively store and organise your data with our data management service that makes it easily accessible whenever you need.
data cleaning

Data Cleaning

Eliminate the inconsistencies from your data and validate them with our streamlined cleaning process
Data Standardization

Data Standardisation

Seamlessly blend your diverse data sets into a standardised format and classify them using our pioneering techniques.
Data mapping 

Data mapping 

Align your data between systems to create a coordinated relation among them to provide orderly integration.
Descriptive Analytics

Descriptive Analytics

Gain access to the hidden insights in your datasets by acknowledging the key trends via summarisations, charts and data visualisations.
Business Intelligence

Business Intelligence

Supporting your decisions with our advanced business intelligence techniques that improves your organisational performance. 
Quasi-experimental Research

Quasi-experimental Research

Statswork conducts quasi-experimental research to find the cause-effect relationships between two or more variables.
Census and Sampling Surveys_ Insights from Diverse Groups

Census and Sampling Surveys: Insights from Diverse Groups

We conducts both census and sampling surveys, enabling accurate generalizations.
Targeted Interview Techniques

Structured Interviews: Targeted Interview Techniques

Structured interviews with standardised questions yield quantitative responses, guided by our expertise.
Featured Capabilities
At Statswork, we bring you a suite of expertly crafted  Data Analysis methods that open a world of insights. Our featured capabilities empower you to gather, analyze, and interpret numerical data with precision, leading you to make informed decisions.
inventory Analytics 

Supply chain / inventory Analytics 

Improve the functionality of supply chain and inventory management with our advanced analysis methods. We give critical insights that improves efficiency while reducing wastages.
Marketing & sales Analytics

Marketing & sales Analytics          

Optimize your customer and sales data to forecast trends regarding market demand; heighten your sales graph to the peak with our forefront methods

Manufacturing /Service Delivery Analytics    

Re-design your sales strategy in a failproof way with our sales and market analytics methods. They make you understand market dynamics thoroughly.
Customer Analytics

Customer Analytics      

Familiarize your customer base with our advanced analytic solutions. With our excellent tools, we provide extensive insights into customer’s behavior, preferences and trends.
Financial Analytics

Financial Analytics

We analyse various kinds of financial data to derive informed decisions. With these approaches you can enhance profitability and manage risks in a smarter way.
Descriptive Analytics

Descriptive Analytics

Our descriptive analysis methods provide insights from historical data to understand past behaviour. Through analysing trends and patterns, you can comprehend the reason behind past phenomenon
Examples of Our Work
These examples highlight how our comprehensive data collection services, combined with AI and ML capabilities, have enabled businesses to make informed decisions.
Customer Segmentation for an E-commerce Client

Customer Segmentation for an E-commerce Client

With our diagnostic analysis method, we found key trends and patterns in the customers’ buying data and their preferences. This helped the client to develop a targeted sales strategy which increased their sales by 20%.
Maintenance For a Manufacturing Plant

Maintenance for a Manufacturing Plant

With the historical data of the manufacturing plant as input data, we built a predictive maintenance model for the manufacturing industry. As a result, we were able to reduce the downtime by forecasting the anomalies.
Consumer perception of service quality and perceived value

Consumer Perception of Service Quality and Perceived Value

By obtaining data through various data collection means, we gathered data that is appropriate to understand the consumer’s perception about a certain product. Then our data engineers identified the patterns that shown customer satisfaction and gave strategical insights
Focus group analysis of Apartment feedback

Focus Group Analysis of Apartment Feedback

Our team collected descriptive data from the residents of the apartment and conducted a thorough analysis on their opinions about the apartment. This gave us an insight about their expectations of the atmosphere, which helped them to improve the overall facilities.
Exploring Emotional and Psychological Responses in Cancer Diagnosis Patients A Thematic Analysis

Studying Psychological Responses of Cancer Patients

We collected qualitative data from cancer patients for a thematic analysis regarding their emotional and psychological responses. Then we analysed the data, which helped the healthcare assistants to come up with better clinical support
Optimizing energy consumption in a building

Optimizing Energy Consumption in a Building

We trained and implemented a predictive model to maintain power consumption in a private sector building. For that, we gathered historical data for model training and finetuning. This reduced the power usage up to 18% per month.
Statistics Techniques and Technology Stack
  • Cluster analysis
  • One way ANOVA
  • MANOVA analysis
  • Multiple regression analysis
  • Sample size calculation
  • Chi square Analysis
  • correlation
  • ANCOVA Analysis
  • Logistic Regression
  • Discriminant analysis
  • ARIMA model
  • Exploratory factor analysis
  • Confirmatory factor analysis
  • Structural Equation model
  • Reliability and validity analysis

Our Software Eco-system that We Possess Mastery In

Our data scientists have the practical wisdom and field knowledge in the following tools that are widely used for data analysis and we got all the necessary tools for complete analysis.
Technology Stack
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Data Analysis Services for Wide Range of Industries
Health care

Healthcare

Finance

Finance

Retail

Retail

Manufacturing 

Manufacturing

Telecommunications

Telecommunications

Transportation and Logistics

Transportation and Logistics

Education

Education

Energy

Energy

Health care

Healthcare

Finance

Finance

Retail

Retail

Manufacturing 

Manufacturing

Telecommunications

Telecommunications

Transportation and Logistics

Transportation and Logistics

Education

Education

Energy

Energy

Why Choose Statswork as Your Data Analysis Service Provider?
Statswork is one of the leading data analytics service providers that have over 5000+ satisfied clients over a decade and continues to excel in the field of Data engineering.
Unique Data Solutions

Innovative Data Solutions

We provide standardised results using most advanced tools and techniques that stands out from the generic ones.

Complete Coverage

Comprehensive Reporting

We provide extensive reports that encapsulates the complete essence of the data in various forms. This offers an actionable insight that drives you towards strategic success.

A client-focused outlook

Client-Centric Approach

Our services are provided such that it aligns with your goals and stays true to your vision by maintaining originality while providing new perspectives.

Straightforward and transparent approach

Honest and visible process

Our methods are accessible and understandable, and we take accountability throughout the process to make you rely on us.


 Increased security of data

Enhanced Data Security

Your privacy is our foremost priority, and we put that before ourselves with great sense of accountability.

24x7 customized support

24 Hour support

Statswork offers a 24-hour technical support, and attentive response anytime of the day or night.

Insights - Must Read Articles

Data Analysis

Standard statistical tools in research and data analysis

Statistical tools in Data analysis
Statistics is a field of science concerned with gathering, organising, analysing, and extrapolating data from samples to the entire population

Data Analysis

Significance of statistical software in data analysis: SPSS & STATA

SPSS & STATA IN Data Analysis
Statistical software, or statistical analysis software, refers to tools that assist in the statistics-based collection and analysis of data to provide science-based insights into patterns and trends.

Data Analysis

Compare and contrast one way ANOVA and two way ANOVA in data analysis

ANOVA in Data Analysis
When it comes to Data analysis in finance, economics, psychology, sociology, biology, and other fields, the Analysis of Variance, is known as ANOVA

Frequently Asked Questions

Data analysis in quantitative research is the process of conducting statistical operations on numerical data to derive insights that contribute to the research.
The methods of quantitative analysis are quite broad in nature. They are descriptive statistics, inferential statistics, correlation and regression analysis, time series analysis, factor analysis, cluster analysis, and ANOVA. These methods interpret data in all facets.
Prominent tools like NVivo, Atlas.ti, and MAXQDA are used for qualitative analysis
For qualitative analysis in PhD Dissertations, thematic analysis, coding assistance, data interpretation are available.
The four pillars of data analytics are 1.Descriptive Analytics 2.Diagnostic Analysis 3.Predictive Analytics 4.Prescriptive Analytics
SPSS is Statistical tool that interprets data and presents evident reports.
Data integration and data warehousing 1.Big data 2.Data science 3.Business intelligence 4.Artificial intelligence 5.Data visualization

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