What we do

Data Science & Engineering

From data to insights; from insights to action

Every day, your business generates a wealth of information, like customer data, financial performance metrics, and proprietary business content. But to organize this information and make it useful for high-stakes business decisions, you need the specialized skills and hard-won expertise of data scientists and data engineers.

SDG’s Data Science and Engineering consulting services serve as your dedicated data partners. Our predictive modeling services can forecast trends and help you anticipate market shifts and consumer behaviors. Our data engineering practices ensure data integrity, scalability, and real-time processing, helping you integrate data-driven insights into business workflows. By automating tasks, uncovering hidden patterns, and exposing new insights to business users, SDG data scientists and engineers will unlock new efficiencies, boost innovation, and sharpen your competitive edge.

Data Engineering + Data Science = a complete suite of data services

Icon Data Engineering

Data Engineering

Ingest, clean, and centralize your business data

  • Set up data lakes.
  • Migrate data to cloud infrastructure.
  • Configure cloud data storage.
  • Upgrade from batch to streaming data processes.
  • Perform data hygiene.
  • Convert raw information into usable, modeled, well-structured data.
  • Enable access to structured data for business users.
Icon Data Science

Data Science

Descriptive, prescriptive, and predictive analysis to improve performance

  • Build dashboards and reports using business intelligence tools.
  • Identify patterns hidden in business data.
  • Use predictive analysis to model potential outcomes.
  • Enhance industrial processes using mathematical optimization on large data sets.
  • Improve customer experience based on personalized, data-driven recommendations.
  • Streamline processes to manage costs and optimize revenue.

SDG’s data science and engineering tech stack

SDG’s data scientists, data engineers, and analysts are fluent in a wide variety of data tools and technology, including:
  • AWS suite of data, machine learning, and AI services
  • Microsoft Azure suite of data, machine learning, and AI services
  • Pyspark
  • Python
  • R
  • PowerBI
  • Tableau
  • Snowflake
  • And more
Data Engineering Tech Stack

We’ve solved these problems; we’d love to tackle yours

SDG data scientists, data engineers, and analysts have used their expertise to address business challenges in a wide range of industries.
Time series forecasting

– Broadcast media advertising

Shipping cost calculation predictions

– Large-scale engineered parts and equipment

Fraud detection

– Financial services organizations

Market-based, real-time production recommendations

– Major global supplier of beef products to restaurants and grocers

Business Intelligence pricing dashboards and reports

– Pharmaceutical industry

Data Science and Engineering in Action

Forecasting shipping costs

A provider of high-tech custom-engineered parts and equipment wanted to improve their ability to forecast shipping costs. Their products can weigh several tons, and shipping costs are a significant variable in the business model for their products and services. What’s more, calculating these costs required accessing third-party shipping service APIs, which slowed processing times and frustrated business users. 

The team collaborated with SDG’s data engineers and data scientists to take on this challenge. Through state-of-the art data engineering practices and predictive analytics techniques, the team built a model for third-party shipping prices. They then processed new requests against this model and optimized the output. Using this novel technique, the team was able to predict shipping costs within a variance of only 5 cents from the actual costs. The solution improved user experience, reduced processing costs and times, and kept the company ahead of stiff competition. 

Ready to put your data to work?

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