Data Analytics

Data analytics helps businesses convert their raw business data into actionable insights. Since 1989, Tulip has been helping companies make quick and data-driven decisions in the ever-changing environment by rendering a full set of data analytics services.


On-demand Data Analysis

Get your data collected, processed and presented in the form of quick regular or one-time analytics insights and avoid the time and cost burden for developing and managing a full-scale analytical solution.

Custom software development

Development of custom enterprise software solutions to address the unique needs of your business.

Subscription-based Data Analysis

With subscription-based data analysis, or Analytics as a Service (AaaS), you carry out data analysis on a fully customized in-cloud analytics platform built and maintained by ScienceSoft.

BI and DWH consulting

We analyze your particular business needs and give recommendations on designing, developing, implementing or upgrading your analytics solution.

BI and DWH implementation

Whether you consider implementing a data analytics solution or completely revamping the existing one, we are ready to deliver a time-effective solution.

BI and DWH support and evolution

Get your analytics solution tuned within days or even hours – we analyze the as-is analytical environment, define the stumbling blocks, and fix the issues.


Financial Analytics

  • Monitoring revenue, expenses and profitability of a company.
  • Profitability analysis and financial performance management.
  • Budget planning, formulating long-term business plans.
  • Financial risk forecasting and management.

Customer Analytics

  • Customer behavior analysis and predictive modeling.
  • Customer segmentation for tailored marketing campaigns.
  • Personalized cross-selling and upselling offers for extended customer lifetime value.
  • Predicting customer attrition and customer churn risk management.

Brand and Product Analytics

  • Conducting product performance analysis.
  • Tracking customer interactions with a product to identify pain points leading to churn.
  • Conducting competitor benchmarking.

Assets Analytics

  • Real-time asset monitoring and tracking.
  • Asset life cycle management
  • Predictive and preventive maintenance.
  • Asset health prediction.
  • Designing asset maintenance and replacement strategies.

HR Analytics

  • Employee/department performance monitoring and analysis.
  • Employee experience and satisfaction analysis.
  • Employee retention strategy optimization and management.
  • Employee hiring strategy analysis and optimization.

Supply Chain Analytics

  • Identifying demand drivers, consumer demand forecasting and planning.
  • Supplier performance monitoring and evaluation.
  • Predictive route optimization.
  • Determining the optimal level of inventory to meet the demand and prevent stockouts, inventory planning and management.


Data Warehouse

  • Extract, transform, load (ETL) or extract, load, transform (ELT) design and implementation.
  • Data governance (data security, quality, availability) management.
  • Data warehouse and data marts design and implementation.
Big Data

  • Big data infrastructure setup and support.
  • Big data quality and security management.
  • Big data analysis and reporting.
Data Science

  • (Big) Data preparation and management.
  • Development and tuning of ML (including deep learning) models.
  • Development and tuning of data mining models.
  • Image analysis software development.
Self-service BI

  • Business intelligence and data analytics infrastructure design and implementation.
  • Ad hoc and scheduled analytics querying and reporting.
  • Natural language user interface.