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Data Mining Services

Data mining is used to retrieve valuable insights (like trends, dependencies, and hidden patterns) from huge and diverse data sets. Data mining outsourcing is the practice of engaging third-party vendors to perform data extraction and analysis tasks. Providing data mining outsourcing services since 2000, ScienceSoft has helped multiple companies derive value from their data without investing in corresponding in-house competencies.

Data Mining Services - ScienceSoft
Data Mining Services - ScienceSoft

Why Outsource Data Mining to ScienceSoft

How Our Data Mining Services Unfold

1

Business analysis

2

Source data preparation

3

Data mining models creation

4

Data mining models maintenance and tuning

5

Reporting and alerting

6

Custom data mining applications (optional)

7

Quality assurance

Our Data Science and Big Data Analytics Projects

Data Science Consulting for Electric Energy Consumption Analysis and Forecasting

ScienceSoft suggested high-level software architecture and provided detailed recommendations on creating machine learning models for electric energy consumption analysis and forecasting software, which would allow electric power companies to optimize their load management and price determination procedures.

Big Data Implementation for Advertising Channel Analysis in 10+ Countries

ScienceSoft implemented a big data analytics system, which allowed one of the top market research companies to carry out comprehensive advertising channel analysis for different markets.

Development of a Big Data Solution for IoT Pet Trackers

ScienceSoft delivered a scalable IoT data management solution that enables the processing of 30,000+ events per second from 1 million devices.

Data Science Implementation for Sales Analysis and Forecasting

ScienceSoft supported a leading FMCG manufacturer by delivering science-based sales forecasting and attainable sales targets.

Development of an Advanced Data Analysis for a Regulatory Authority

ScienceSoft developed a BI solution with a robust analytical module to conduct financial market analysis and determine development and capital raising strategies, market participant analysis to discover hidden relationships between entities, trigger fraud alerts, etc.

Data Sources We Cover with Data Mining Services

  • Websites
  • Online marketplaces
  • Emails
  • Social media
  • Enterprise systems (CRM, ERP, HRMS, etc.)
  • Business reports
  • IoT sensors
  • Medical devices
  • Research papers
  • Open-source databases

Data Mining Use Cases

  • Stock planning.
  • Equipment failure prediction.
  • Prediction of defects or reduced yield.
  • Operations cost optimization.

Retail (including ecommerce)

  • Merchandising strategy optimization.
  • Online store UX design, conversion rate optimization.
  • Shopping channel analysis.
  • Cross-selling and upselling.
  • Price monitoring and optimization.
  • Treatment effectiveness assessment.
  • Recommendations on lifestyle changes.
  • Personalized care planning.
  • Proactive care (definition of trends and patterns in patient condition requiring a doctor’s attention).
  • Fraud detection in healthcare insurance.
  • Operational capacity planning .
  • Vehicle supply allocation and vehicle dispatch management.
  • Vehicle maintenance data mining for failure prediction.
  • Dynamic route optimization.
  • Fuel consumption forecasting.

Marketing

  • Customer behavior and buying pattern analysis.
  • Customer segmentation.
  • Marketing campaign optimization.
  • Sentiment analysis.
  • Market trends evaluation.
  • Competitor analysis and tracking.
  • Pricing strategies and promotion tactics optimization.
  • Fraud detection (cash, transactional, insurance, etc.).
  • Financial risks analysis and management.
  • Regulatory compliance.
  • Credit rating evaluation.

HR

  • Employee behavior and performance analysis.
  • Employee retention prediction.
  • Employee performance management.
  • Recruitment management.
  • HR policies evaluation.
  • Employee engagement strategy optimization.

Benefits of Data Mining Outsourcing with ScienceSoft

Transparent service delivery based on KPIs

We deliver data mining services based on the agreed quality KPIs, which may include:

  • Output quality KPIs:
    • Interestingness metrics (e.g., how data mining model/pattern can become beneficial).
    • Accuracy metrics.
    • Reliability metrics (e.g., how a data mining model performs on different data sets).
    • Missing alerts.
  • KPIs related to business outcomes (e.g., conversion rate, sales, accounts receivable, etc.)
  • Your satisfaction score defined with interviews and questioners.

Focus on data security

To ensure data security on multiple levels, we employ:

  • Highly secure cloud facilities for data storage and processing (Azure, AWS, Google Cloud).
  • Secure data transfer methods (FTP and VPN) controlled via regular health checks.
  • 24/7 in-house data security monitoring.

Technologies and Methods We Use for Data Mining

Data Mining Service Options We Offer

Regular data mining outsourcing

  • Get valuable business insights out of large, heterogeneous and constantly changing data sets without hiring an in-house data mining team.
  • Suitable for 6+ month- cooperation

* If you don’t want to manage large databases in-house, consider adding our DWH-as-a-service.

 

Go for regular data mining

One-time data mining outsourcing

  • Gain quick insight into pressing problems.
  • Try how data mining solves a particular business problem.
Request one-time data mining

Embrace Data Mining Capabilities

Outsourcing data mining services, you benefit from:

  • Increased ROI from marketing campaigns due to accurate prediction of campaigns’ outcomes.
  • Optimized operational performance due to defining reasons behind operational bottlenecks.
  • Increased customer acquisition rate and decreased customer churn due to accurate targeting of well-defined customer segments.
  • Quick fraud detection due to outlier analysis.

Hire Data Mining Experts Now!

Get in touch with our data mining team to discover hidden correlations in your data and translate vast volumes of data into insights to be one step ahead of your competitors.