ScienceSoft. Professional Software Development. ScienceSoft. Professional Software Development.
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    ScienceSoft is a US-based IT consulting and software development company founded in 1989. We are a team of 700 employees, including technical experts and BAs.
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Data Mining Services

Data Mining Services - ScienceSoft

Data mining is the process of retrieving valuable insights from huge, diverse, and constantly renewable datasets with pattern recognition technologies, statistical and mathematical methods.

Since 2000, ScienceSoft provides data mining services to help companies uncover data patterns and make accurate data-driven decisions without investing in in-house data mining competencies.

Feed Your Decision-Making with Advanced Analytics

ScienceSoft’s team identifies the needed data sources and uses the most efficient data mining tools and techniques to help you test hypotheses and identify hidden patterns in your data, including big data.

Request data mining services

Why Outsource Data Mining to ScienceSoft

Our data analytics achievements - ScienceSoft

  • Data science and data analytics expertise since 1989.
  • 7 years in big data.
  • Image analysis expertise since 2013.
  • 15 years of experience in rendering data warehouse services.
  • ISO 9001 certified processes.
  • Domain experience in 23 industries, including manufacturing, energy, retail and wholesale, professional services, healthcare, financial services, telecommunications.

How Our Data Mining Services Unfold

1

Business analysis

  • Defining business objectives to reach with data mining.
  • Outlining exact questions, hypotheses, tasks to resolve with data mining.
  • Determining issues with the existing data mining solution.
  • Deciding on data mining KPIs.
2

Source data preparation

  • Determining data mining sources and requirements for a data set.
  • Data collection and transformation.
  • Data quality management.
3

Data mining models creation

  • Selecting optimal data mining methods to use.
  • Defining the criteria for the future model/models evaluation (output quality KPIs, KPIs related to business outcomes).
  • Creating data mining models.
  • Running the developed data mining models on the prepared data sets.
4

Data mining models maintenance and tuning

  • Continuous monitoring and tuning of data mining models for greater accuracy.
  • Developing new data mining models (also, on new data sets) to address arising business needs.
5

Reporting and alerting

  • Reports and dashboards with data mining results ready for business use.
  • Alerting according to the predefined rules (e.g., pricing change detection).
6

Custom data mining applications (optional)

  • Developing software with data mining capabilities for self-service use.
7

Quality assurance

  • Evaluating data mining quality, including the quality of insights.
  • Data mining quality evaluation reports.
  • Testing software with data mining capabilities.

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

Manufacturing

Manufacturing

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

Retail

Retail (including ecommerce)

  • Merchandising strategy optimization.
  • Online store UX design, conversion rate optimization.
  • Shopping channel analysis.
  • Cross-selling and upselling.
  • Price monitoring and optimization.

Healthcare

Healthcare

  • 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.

Marketing

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.

Finance

Finance

  • Fraud detection (cash, transactional, insurance, etc.).
  • Financial risks analysis and management.
  • Regulatory compliance.
  • Credit rating evaluation.

HR

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

Benefit

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.

Benefit

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

  • Programming languages
  • Databases and data storages
  • Big data
  • Data science libraries, frameworks, and services
  • Data mining techniques
  • Statistics methods
  • Neural networks
  • Data visualization

Programming languages

Click on the programming language to learn about our capabilities in it.

Databases and data storages

Click on the technology to learn about our capabilities in it.

Big data

Click on the technology to learn about our capabilities in it.

Data science libraries, frameworks, and services

Data mining techniques

Data cleaning and preparation
Pattern tracking
Classification
Association
Regression
Clustering
Anomaly detection / outlier detection
Sequential pattern mining
Prediction
Decision trees / random forests
Time-series data mining
Natural language processing
Visualization ( reports and dashboards)

Statistics methods

Descriptive statistics
Logistic regression
Boosted regression
KNN-regression
Penalized regression models (Lasso, elastic net regularization, least-angle regression, support-vector machines, etc.)
Tweedie distribution
Time series methods (ARIMA, ARMA, SSA)
Markov chains
Structural equation modeling
Exploratory and confirmatory factor analysis
Statistical power analysis
K-means clustering
Bayesian methods (Naïve Bayes classifier, Bayesian model averaging, Bayesian adaptive designs, etc.)
Spline-based models (multivariate adaptive regression splines, etc.)
Survival analysis

Neural networks

Convolutional and recurrent neural networks (LSTM, GRU, etc.)
Autoencoders (VAE,DAE, SAE, etc.)
Generative adversarial networks (GANs)
Deep Q-Network (DQN)
Feedforward Neural Network
Radial basis function network
Modular neural network

Data visualization

Our Hallmark 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.

Project details
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.

Project details
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.

Project details
Development of a Data Science Solution for Clay Pigeon Shooting Scoring

ScienceSoft helped develop image analysis software to determine clay pigeon shooting results automatically. The solution is based on convolutional neural networks and the background subtraction algorithm.

Project details
Data Science Implementation for Sales Analysis and Forecasting

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

Project details
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.

Project details

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.
Go for data mining services
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