Data Mining & Big Data Analytics
Data mining is part of the knowledge discovery process that offers a new way to look at data. At Statswork, we offer analytics services to researchers and corporates representing various industries including automotive manufacturing, financial, medical device pharmaceutical R&D, manufacturing & patient.
Statswork plans your research with utmost Care & Diligence Development of data mining algorithms for Big Data, Text, & Image data
We develop data mining algorithms for Big Data including text and image data. Our team has deep understanding of the integration layers of big data and can determine the right granularity for analysis. We build foundational structures for analytics and visualization to identify patterns and trends. The algorithms we develop use these to tune the parameters for mining models so we can extract actionable patterns and statistics like clusters, decision trees and mathematical models.
We cover aggregation, statistics, indexing, searching, querying and knowledge discovery across various data types—relational data, text data, semi-structured data, graph data and streaming data. We help researchers formulate hypotheses, develop theoretical frameworks and address sampling issues. Our experts select the right sample size to balance precision and relevance for the research goals.
Statswork plans your research with utmost Care & Diligence Development of data mining algorithms for Big Data, Text, & Image data
Our domain specific expertise at StatsWork understands the different layers of big data being integrated and what what granularity levels of integration can be completed to create the holistic picture. The team at StatsWork creates the foundational structure for analytics and visualization of the data to look at specific types of patterns and trends. The algorithms developed would use the result of this analysis to define the optimal parameters for creating the mining models. Subsequently, our team of statisticians apply these parameters across the entire data set to extract actionable patterns and detailed statistics (e.g. a set of clusters, a decision tree, a mathematical model, a set of rules that describes how products are grouped). Our data analytic teams are well equipped with advanced mathematical degrees, engineers, statisticians with multiple specialist degrees.
Aggregation, Statistics, Indexing, Searching, Querying & Knowledge Discovery
Relational data (Tables /Transaction /legacy data), text data (Web), semi-structured data (XML), Graph data, streaming data
Data mining uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predictions.
Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. Data are any facts, numbers, or text that can be processed by a computer.
Today, organizations are accumulating vast and growing amounts of data in different formats and different databases. This includes: Operational or transactional data such as, sales, cost, inventory, payroll, and accounting Non-operational data, such as industry sales, forecast data, and macro economic data Meta data – data about the data itself, such as logical database design or data dictionary definitionsExperts at Statswork assist in analyzing huge volume of data. We also facilitate researchers to create a working hypothesis / develop a theoretical framework or conceptual framework which can be analyzed as per research parameters. Also, we also aid researchers to tackle the vital aspect of sampling. Various research activities demand inclusion of subjects for meeting various research objectives, however selecting a target sample is often a difficult proposition. More importantly, the size of the sample also creates an impact on results of research. This conflict is also eradicated with our statistics expert intervention using the appropriate combination of statistical sample size calculators and manually. Based on the research topic we identify an appropriate sample size for the study to ensure that the research objectives of the research are met and at the same time generate precise and relevant results based on the objectives.
How we Help
Web data mining
At Statswork, our web data mining experts can extract valuable insights from various online sources. We collect and analyze data from websites to support your business goals, including market research, competitor analysis and trend identification. Our approach ensures accurate and complete data extraction to inform your decisions.
Image data mining
Our image data mining at Statswork extracts and analyses visual data from multiple sources. We do object detection, pattern recognition and image classification to give you actionable insights. Whether it’s for quality control or visual analytics we give you the data you need
Social media data mining
Statswork’s social media data mining experts extract and analyse data from Twitter, Facebook and Instagram. We help you understand consumer sentiment, track your brand and identify emerging trends. Our methods give you the insights to drive your social media
Financial data mining
Statswork’s financial data mining gives you in-depth analysis of multiple financial datasets, including stock prices, company financials and customer transactions. We use our expertise to support investment strategies, fraud detection and credit risk management so you have the insights to make informed decisions.
Healthcare data mining
Our healthcare data mining services extract valuable insights from large healthcare datasets including patient records, clinical trials and insurance claims. We provide actionable intelligence to improve patient outcomes, streamline operations and support evidence based decision making.
Excel data mining
We extract and analyze data from Excel spreadsheets, turn raw data into insights for financial analysis, business intelligence etc… We also ensure data accuracy and consistency so it can be seamlessly integrated into your decision making process.
Word data mining
We mine data from Word documents, so you can extract text based information for research, content analysis and data driven decisions. Our approach includes advanced text extraction techniques to uncover patterns and trends hidden in unstructured content.
Lead data mining
Statswork’s lead data mining solutions identify and extract potential leads from various data sources including websites, social media and databases. We help businesses enhance their sales pipelines by delivering high quality targeted lead data.
Examples of Our Work
E-commerce Product Information Research for Market Expansion
A comprehensive e-commerce product information research project for a client looking to expand into new markets. We analyzed product details, pricing, customer reviews, and competitor offerings across various platforms. Our research provided the client with insights into market trends, consumer preferences, and potential gaps in the market. This enabled them to strategically position their products, optimize pricing, and enhance their market entry strategy, leading to successful expansion into new territories.
Healthcare Data Mining for Predictive Analytics
We leveraged advanced data mining techniques on a vast dataset of patient records. We identified key risk factors for chronic diseases using predictive analytics, aiding healthcare providers in implementing early interventions. Our work optimized resource allocation and improved patient care outcomes, showcasing our expertise in turning complex healthcare data into actionable insightsligence, and more..,
Financial Data Mining for Risk Management
Statswork analyzed historical stock prices, company financial statements, and market trends. Our analysis provided the client with insights into potential market risks and opportunities. This empowered the client to make informed investment decisions and enhance their risk management strategies, ultimately improving their financial performance.
Competitor Data Mining for Strategic Business Insights
Competitor data mining project for a tech startup to get ahead of the competition. We collected and analyzed data on competitors’ products, pricing, marketing campaigns and customer feedback from multiple online sources. Our detailed analysis gave the client insights into competitors’ strengths and weaknesses so they could refine their product features, adjust their pricing models and improve their marketing strategies
Explore Our Industries
Technology
Making Lifestyle
E-Commerce
Health and Fitness
Telecom
Food and Beverages
Technology
Making Lifestyle
E-Commerce
Health and Fitness
Telecom
Food and Beverages
