Data mining services
Enhance your fraud detection, pricing strategy, or customer segmentation
with data mining solutions that automate data collection and extract
valuable insights from internal and external data.
Shift to a data-driven culture without stretching your resources too thin
with our outsourced data mining services.
Data mining services Yalantis provides
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Web data mining services
Web data mining services
- Collecting online data via scraping, crawling, and third-party APIs
- Selecting the most appropriate algorithms for web data extraction and analysis
- Analyzing user navigation and behavior patterns while browsing the web
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Text mining services
Text mining services
- Identifying the most suitable text mining tools and technologies
- Selecting data mining techniques (classification, clustering, anomaly detection, etc.)
- Extracting, preprocessing, structuring, and classifying text data
- Leveraging natural language processing for topic modeling and named-entity recognition
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Business data mining services
Business data mining services
- Compiling business data from multiple internal systems into a single dataset
- Cleaning business data (deduplication, outlier filtering, missing data handling)
- Selecting the best-suited data mining techniques (association rule, classification, time series analysis, etc.)
- Building and validating the data mining model for current and future use cases
- Continuously maintaining and supporting custom data mining models
Technologies our data mining agency uses
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Scrapy
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spaCy
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scikit-learn
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Selenium
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REST
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GraphQL APIs
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Hugging Face Transformers
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Apache Airflow
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Spark
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PostgreSQL
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MongoDB
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ElasticSearch
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Power BI
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dbt
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Great Expectations
Industry-specific use cases Yalantis specializes in
Healthcare
Analyze electronic health records and other patient data to improve diagnosis accuracy, personalize treatment, and drive better patient outcomes.
Finance and banking
Unravel hidden patterns in your data to increase fraud detection accuracy and improve portfolio performance by quickly identifying and mitigating investment risks.
Transportation and logistics
Optimize delivery routes, get rid of operational inefficiencies, and maximize resource allocation efficiency with demand and supply forecasting.
Our clients’ reviews
Data mining use cases Yalantis works with
Optimal pricing
Strike the fine balance between profitability and affordability with insights into market trends, competitor pricing strategies, and demand forecasting.
Customer analytics
Identify patterns in customer data to gain deep insights into behavior, demographics, and needs, enabling more accurate segmentation and personalization.
Anomaly detection
Make your business data easier to navigate and query by classifying and clustering information from internal documentation.
Business intelligence
Partner with an ML development company that prioritizes quality. Leverage expertise in machine learning, security, and compliance for defect-free functionality.
Results that our data mining services deliver
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Data-driven decisions
Use your resources more effectively and reach your business objectives with decisions based on detailed KPIs and trend prediction rather than intuition.
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Enhanced employee productivity
Lay the foundation for productivity gains with solutions that can automate routine tasks like sentiment analysis and customer segmentation.
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Better customer experiences
Gain a better insight into customer behavior and craft more effective marketing campaigns with customer segmentation based on hundreds of data points.
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Increased revenue
Benefit from a revenue uplift with improved customer experiences, productivity and efficiency gains, granular competitor analysis, and accurately predicted future trends.
Why choose Yalantis for data mining outsourcing
Professional data mining from the get-go
We’ll leverage our experience to select the proper data mining techniques, strategies, and tools for your solution, mitigating the risk of costly rework down the road.
Comprehensive data mining services
Our data mining developers will assess your infrastructure, configure it to support big data or predictive modeling if necessary, and ensure the solution’s security.
Team flexibility
You can easily adjust the size and composition of your team if your business objectives evolve when you outsource data mining services to Yalantis.
Accelerated time-to-market
Outsourcing data mining to Yalantis allows you to focus on innovation and product development while we manage setting up the data infrastructure.
Insights into our data mining expertise
Machine learning use cases and potential value of ML technology across industries
Discover how machine learning can be beneficial for various domains and how this technology can help you run a modern and innovative business in the fast-paced and changing economic environment.
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How to streamline your ML software development project
Read this post to see if ML will be an effective solution for your specific business case, explore multiple machine learning use cases, and learn approaches and strategies for implementing a successful ML-driven project.
FAQ
What business value can data mining bring to my company?
Data mining can help your company gain actionable insights into your operations and drive operational efficiency, cost optimization, and employee productivity. Integrating and analyzing data from multiple sources can also improve customer segmentation and analytics, especially in industries like retail and e-commerce. Data mining can also power fraud and anomaly detection with outlier analysis.
Is outsourcing more beneficial than an in-house data mining team?
Data mining outsourcing services allow you to focus your internal resources on core business activities and leverage cross-domain data expertise that may take too long to secure in-house. When you outsource data mining to vendors like Yalantis, you can also benefit from higher team flexibility. Building an in-house technology team, in turn, is typically more expensive because of recruitment costs, payroll taxes, and employee benefits.
What types of data can be analyzed with your solutions?
Our tailored solutions can analyze various types of data since most use cases require a combination of raw data from internal and external systems to extract meaningful insights. Common data types include unstructured and structured business data (emails, enterprise systems, internal documentation), web data, and text data. We can also extract insights from IoT data and open-source databases.
How do you ensure data confidentiality and security during collaboration?
We design and implement privacy and security controls to mitigate risks from the get-go. Those can include role-based access, robust encryption, and comprehensive data governance processes. Our data mining experts can also help you comply with specific regulations and laws, such as the GDPR, HIPAA, and CCPA.
How long does it take to complete a data mining solution?
Every data mining project is different, and its duration depends on your use cases, existing data infrastructure, and software processing requirements. Developing innovative data mining solutions would also take longer than ones relying on existing technologies and approaches. If you want to get a timeline estimate before you hire a data mining company, discuss your project with our experts.
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