What We Do > Data Management & Analytics > Data Science Consulting & Services

Data Science Consulting & Services

Stimulate growth by discovering insights that boost business operations with the use of exhaustive data science capabilities

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Why are Data Science Services Crucial for Organisations?

As data-driven decision-making is becoming the new normal for modern-day businesses, data science along with enabling technologies such as AI, ML, etc. has become indispensable for companies to eliminate data clutter and extract valuable business insights from big data.

SG Analytics is a leading data science consultancy firm in the UK, providing data science consulting and data analytics services to help companies get a better idea of markets, customers, competitors, products/services. Our data science services empower companies with contextual insights to make smarter decisions, drive business value and outcomes, and predict future events.

Data science services & Consulting

What We Offer

Automated learning and predictive analytics services to help clients navigate through digital transformation, and become proactive by predicting outcomes.

  • Become proactive and predict outcomes: Combine sophisticated machine learning tools with complex statistical models and data mining techniques to build advanced predictive analytics models
  • Variety of models: Leverage our expertise in data science to increase the value of your existing data and generate most actionable insights
  • Customised solutions: High-quality solutions tailored to meet customers’ unique business needs and the nature of their data
  • Scalable results: Predictive analytics consulting solutions to optimise processes and thrive in today’s highly competitive business environment

Build custom solutions based on the algorithms or frameworks that process data and run sophisticated algorithms on cloud as well as edge.

  • Machine Learning services: Build, train, validate, optimise, deploy, and test machine learning models using the latest tools and technologies
  • Experience: SuSupervised, semi-supervised and unsupervised machine learning on both structured and unstructured data to make sense of your enterprise data
  • ML deployment: IIntegration of ML models into the existing production environment and performance testing via robust tools such as TensorFlow, TensorBoard, Playground, What-if, etc
  • ML as a service (MLaaS): Amazon ML and Amazon SageMaker to build predictive applications based on your data

Robust tools and techniques to equip companies with intelligent data forecasting to embrace digital transformation across their organisation.

  • Intelligent forecasting services that help to decide in advance the best suitable course of action to foster business growth
  • Optimise planning and gain a competitive advantage using knowledge-based techniques and data-driven decision support system
  • Purpose-built forecasting models to help make better and more confident managerial decisions about material, personnel, sales or any other requirements
  • Identify actual drivers of business values – internal and external – to improve accuracy in financial forecasting and meet business goals
  • Set data-driven financial targets and build strategic pricing models

Text analytics solutions to extract meaningful information hidden in emails, social media posts, online reviews, survey results, feedback, etc. and optimise products and services to meet customer expectations.

  • Procure actionable consumer insights: Enterprise-scale text analytics services to uncover hidden meanings, patterns and themes behind text data to deeply understand customer behaviours, preferences and expectations.
  • Enrich your content: Increase findability and make your content more actionable
  • Text analytics services: Transform unstructured data into valuable information by applying sentiment analysis, text classification, document classification, entity extraction, themes discovery, etc.
  • Leverage the potential of AI with NLP and NLG: Construct an engine that can garner thousands of text data sets and produce easy-to-understand summaries from the data

Leverage the capabilities of prescriptive analytics to resolve complex business problems and find the best suitable solution (highest ROI or lowest spend) for any given business problem within a well-defined set of constraints.

  • Include forecasts/predictions input variables – both known and unknown, with defined constraints & objectives and optimisation algorithms and solvers to find the appropriate solution for the objective
  • What-if simulators to perform a comparative scenario analysis to select the most-effective solution that outperforms all others in a list of many possible business scenarios
  • Resource optimisation to streamline resources (people, raw material, equipment, financial) and improve the efficiency of a proces
  • Optimise your existing optimisation systems with ML to derive the best course of action
  • Improve accuracy of estimates by including ML-driven probabilities and predictions to formulate a new plan and sustain change


Extensive experience in abstract problems and unstructured data

Experience from delivering solutions to fortune 500 global clients

We are technology agnostic and makes it easy to rapidly onboard

Customised to derive best results for underlying business problems

In-depth domains knowledge and expertise to bring context


media and entertainment services


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The increased consumption of digital media content in the wake of the pandemic has led to the rise of the era of contextual advertisements. A data-driven...



The COVID Tech Tango- Sparks Flying but Where's the Money Headed?

SG Analytics conducted a survey of 200 key IT decision-makers in the US across the Banking and Financial Services, Healthcare, Retail, and TMT sectors to...

OTT Plaftorms


OTT and the Media Broadcasting Industry

With the disruptive advent of OTT platforms, audience viewing patterns and content consumption across the US are experiencing significant shift. Our study...

Unlock key predictive insights and deliver business outcomes through production deployment of latest data science models and enable accelerated growth.