Data Collection Services

Finding Insights through Qualitative, Quantitative, and AI/ML-focused Data Collection Solutions for Industry, Market & Business Research.

Our Capabilities

Our data collection services are impeccable in every way, is of professional standards, and high-quality. We understand very well that data scraping of essential information across diverse sources is not a chore but rather a necessity for arriving at meaningful decisions.

We have a robust, highly professional, and experienced team that excels in identifying and capturing data in all sorts of ways, ensuring that no piece of information is left behind while meeting compliance standards. We meticulously put data together, sort it out, clean it up, and make it look right to help you derive insights directly without expending much time and effort on groundwork.

Engaging Statswork to handle your data collection, you are empowered with a team of experts who use innovative methods to collect and sort information from all sources. This covers websites, directories, research databases, and more. We provide you a comprehensive and bespoke service that enables you to make well-informed decisions. We turn raw data and information into useful insights for your business with mindfulness.

Qualitative Data Collection

We offer solutions for collecting non-numerical data offering appropriate and usable data for interpretation

Quantitative Data Collection

Using techniques for collecting numerical data, such as surveys, experiments, and measurements, will make your research more dependable.

Secondary Data Collection

With our flawless Data compilation service, we provide ideal and appropriate existing data that matches to your research’s specificity

Data Collection for AI & ML

Enhance your AI and ML model’s efficiency by our Data Aggregation methods that converts raw data into fine data sets readily usable for ML/DL learning

Our unique approach will help you obtain a better understanding of market trends, client preferences, and competitive landscapes by converting qualitative insights into human experiences and perspectives. With that you can make informed choices based on evidence and context.

To understand customers intention and choices, we retrieve their qualitative and quantitative information matching your domain, then analyse them both in terms of quantitative and qualitative study. This provides valuable insights to spot patterns in their preferences.

With our complete Data collection services, we facilitate you in obtaining essential datasets to make predictive models. These models will analyse and forecast potential risks using intelligent analytics and deep learning. This enables you to initiate early intervention to control such risks.

Collect qualitative data of your customers to understand their interests and preferences according to the target demographics. Following this, qualitative data is amalgamated with quantitative data collection techniques to gain deep insights and find patterns which will accommodate you in creating personalised marketing strategies that appeal to the specific demographics. This will be instrumental in increasing customer engagement and conversation rates.

Collecting qualitative information from employees via feedback, to collect their perceptions of the workplace. Then this is supplemented with quantitative data collection to analyze the specific engagement and satisfaction scores. This method will give you a systematic look at trends and pattern, recommending initiatives that improve employee engagement.

To prevent breakdowns and reduce maintenance needs, you can develop AI and ML algorithms that learns from previous history of maintenance and downtime, which is collected as quantitative data. These AI and ML algorithms will predict machinery breakdowns in advance which will increase operational efficiency, reduce downtime, and lower maintenance costs

These examples demonstrate how our data analysis methods integrated with AI and ML has enabled industries to improve operations, increase customer experience, and gain strategic benefits across a wide range of sectors.

Predictive Maintenance for Automotive Manufacturing

A vehicle manufacturer was interested in minimizing unexpected downtime and maintenance costs on their assembly operations. We captured qualitative information from maintenance groups about typical breakdowns and difficulties encountered, in addition to collecting various quantitative data using sensors placed on their equipment. Our generative AI analysis of the mixed data type provided predictive insights into areas of possible breakdowns and maintenance, which resulted in a 30% reduction in unplanned breakdowns and a 20% reduction in planned maintenance costs.

Personalized Treatment plans to enhance Patient Outcome

A healthcare institution wanted to enhance patient outcomes by developing customized treatment programs. We collected qualitative information from patients by interviewing them about their medical history and preferences. In addition, we acquired numerical data from each patient’s medical record and diagnostic tests. Based on the data, we were able to provide specific treatment suggestions for patients with similar profiles by using our AI and ML algorithms and building predictive models for all patients in our study. As a result, patients’ recovery rates were improved, and it also reduced the days required for treatment

Enabling Fraud Detection Opportunities

A financial institution sought to strengthen its ability to detect fraud and anomalies in transactions. We gathered qualitative data inputs from fraud analysts about emerging fraudulent trends and strategies. Statistical data on previous transactions and qualitative feedback on behaviour of consumers were also collected. Following this, we developed a fraud detection model using AI-powered analytics which successfully reduced false positives while improving the accuracy of detecting fraudulent transactions, thereby leading to reduced financial losses and improved safety and security

Defining Objectives

Clearly specifying your aims and outcomes that you expect from research problem.

Design Collection Plan

Developing an organized plan and outline of working pattern that describes the methods to collect data and the sources to be used.

Collect Data

Executing the strategy by employing the chosen techniques and tools to gather the data.

Validate and Clean Data

Ensure the data’s accuracy by identifying and correcting errors and modifying it to maintain consistency.

Delivering the Data

The retrieved data is delivered through a highly secure way to eliminate data breach.

Real Estate

Retail

Administration

E-Commerce

Healthcare

Transportation

Education & E-Learning

Digital Media/Advertising

Tele-communication

Information Technology

Political Government

Human Resource

Real Estate

Retail

Administration

E-Commerce

Healthcare

Transportation

Education & E-Learning

Digital Media

Tele-communication

Information Technology

Political Government

Human Resource

Technical representation of the metadata

Our data discovery mapping discovery sessions were led by our subject-matter experts, who help to understand the meaning, relationships to other data, origin, usage and format. Our data mapping ensures reusability and adheres to a common metadata standard following the FAIR (Findable, Accessible, Interoperable and Reusable) principles. Our data models are machine-understandable anduse languages that can be converted to a relational database (RDF), tabular file, or hierarchical structure to an RDF format.

Innovative Artificial Intelligence and Machine Learning Algorithms

Our team of experts develop advanced algorithms for image enhancement, restoration, stabilisation, segmentation, mosaicking, super-resolution and other image processing techniques. Whether it’s detection, segmentation, recognition, identification and tracking problems and deliver personalization and customer convenience at scale. Our specific expertise includes system modelling, algorithm simulation, refining, data processing and field data analyses.

Proven Practices to conduct Requirements Elicitation Services

Our requirement discovery sessions were led by our senior consultant, who guides the subject matter experts. Our sessions are unique and proven approach where our consultants lead through practical questioning and analyses, thereby keep the participants focused and on track. As opposed to contract business analyst, Statswork consultants employ a consistent and standardized approach certified by StatsWork.

Why Choose Statswork for Data Collection?

Statswork is one of the pioneering consultancies that have expertise for about 15 years in the field and continues to excel with compliance and proficiency, which never fell below the scale of excellence

How Statswork Delivers the Collected Data?

After acquiring first-hand or primary data from respondents using questionnaires and interviews, the next step is to encode the data into Excel or SPSS formats which are then scheduled to be turned over to the team of experts for logging. Alternatively, if the information is collected via web-based surveys or audio files, it is first transcribed or cleaned and proofread before analysis begins.

Data Collection

Quantitative Data Collection Methods

Quantitative data are the quantifiable, numerical data which can be processed using statistical principles & number theory…

Data Collection

Information Collection in Various Field

Data collection plays a significant asset in any research study. Research work carried can vary from field to field but all the research work..

Data Collection

What Data Needs To Be Extracted To…

The topic of risk in the container shipping industry has gotten a lot of coverage over the last Decade. Data extraction is a..

Frequently Asked Questions

What is Data Collection and Why is It Important? 

Data collection is the primary procedure in Data analysis that provides the substance to work on or interpret to derive meaningful insights. It is significant in making better decisions that will give positive impacts instead of relying on intuitions.

What Types of Data Can Be Collected?

Any kind of information, whether tangible or intangible, can be collected in various forms and formats, and it can be either quantitative or qualitative.

What Security Measures Are in Place to Protect Data During Collection? 

We ensure data security with a strict and rigid protocol during with advanced encryption, vigilant access controls, secure storage, and complete regulatory standards.

How Do You Ensure Data Accuracy and Quality? 

We use rigorous validation methods, regular audits, standardized procedures and skilled personnel to maintain the accuracy and reliability of data.

How Can Data Collection Services Be Customized to Meet Specific Business Needs? 

The process of collecting data can be customized by aligning methodologies, tools, and reporting formats with your specific business goals and industry requirements aiming to create coordination between the research needs and the data collection methods.

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