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Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data,[1][2] and apply knowledge and actionable insights from data across a broad range of application domains.

Data Science

Dig deep into your data and gain insight. Uncover patterns and compute stats you can trust

Data Analysis

Build graphs, KPIs and interfaces which can be used to take business decisions

Data Visualization

Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.

Big Data

A data pipeline, is a set of data processing elements connected in series, where the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel or in time-sliced fashion.

Data Pipelines

AI Data Analysis

Let teams explore data by asking questions in natural language.

Conversational Data Analysis

Predict sales, inventory, or demand trends over time with AI models.

Time Series Forecasting

Uses natural language to query and analyze structured/unstructured data. Enables business users to extract insights without SQL or BI tools.

Conversational Analytics

Analyze networks like social graphs, supply chains, or transactions.

Graph Analytics & ML

Cluster customers by behavior or value to drive marketing strategies.

Customer Segmentation ML

Recommends actions based on predictive models and optimization algorithms. Used in logistics, pricing, and planning.

Prescriptive Analytics

Use ML to spot unusual transactions or metrics before they escalate.

Anomaly & Fraud Detection

Forecasts trends and behaviors using historical data and ML models. Common in finance, marketing, and operations.

Predictive Analytics

Auto-generates summaries, dashboards, and narratives from raw data. Speeds up decision-making for non-technical users.

Automated Insights

AI Enterprise Model Tuning

Combines LLMs with enterprise knowledge bases for grounded, real-time responses.

RAG (Retrieval-Augmented Generation)

Customizes foundation models using enterprise-specific data for better accuracy and relevance.

LLM Fine-Tuning

Tracks model performance, bias, drift, and hallucinations in production. Ensures compliance and reliability.

Model Evaluation & Monitoring

Designs and tests prompts to improve model output without retraining. Often used in copilots and chatbots.

Prompt Engineering & Optimization

Consulting firms are required to operate across all industry domains. As such they typically use technology for data gathering, analysis and presentation.  They also have strong connectivity and real-time communication requirements, where they have spearheaded the development of live video conferencing, chat apps and innovative email products. 

Consulting

Technology Consulting

IT consultants offer expertise in technology and help businesses optimize their IT systems and infrastructure.

IT Consulting

Management consultants provide advice to organizations to improve their performance and efficiency.

Management Consulting

Strategy Consulting

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Think Big Analytics

2055 Laurelwood Rd

Teradata (UK)

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