Every day, your company collects massive amounts of data from various sources like sales transactions, customer interactions, online activities, production processes and more. Hidden within these vast databases are invaluable insights that could transform the way you make strategic and tactical decisions.
Whether developing new revenue streams, optimizing prices or expanding into new markets, data science supports intelligent moves upmarket with higher lifetime customer value.
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Risk Management
Statistical models pinpoint risk factors to foresee threats and simulate scenarios, enabling proactive strategies that circumvent issues before they impact goals.
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Customer Understanding
Deeper insights into customer behaviors, preferences and predicted needs allow personalized engagements that improve retention and uncover cross-sell opportunities.
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Statistical models pinpoint risk factors to foresee threats and simulate scenarios, enabling proactive strategies that circumvent issues before they impact goals.
Use machine learning algorithms to examine historical patterns and predict future outcomes, events or trends.
Anomaly Detection
Recognize unexpected observations that do not follow expected behavior which could indicate issues, fraud or waste.
Segmentation & Classification
Group data into meaningful categories to understand customer preferences and streamline marketing, sales and product development.
Optimization & Simulation
Use modeling, experimentation and what-if analysis to improve processes, resource allocation, reduce costs and maximize gains.
Data Visualisation
Data visualization techniques transform numbers and facts into clear graphics, dashboards and interactive reports. Our designs leverage the best visual methods to engage target audiences and aid comprehension.
Our predictive analytics solutions use statistical techniques and machine learning on vast structured and unstructured data sources to forecast trends and future outcomes.
Our prescriptive analytics solutions use business rules, constraints and predictive modeling to generate optimal recommendations for decisions and plans of action.
Our data mining solutions employ specialized algorithms to automatically discover patterns and extract meaningful information from large, complex datasets.
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Services Associated with Data Science
Python
Language of choice with vast libraries like Pandas, NumPy, SciPy for data preparation, analysis and visualization.
R
Environment designed for statistical analysis with shiny, ggplot2 and others for advanced modeling, graphs and reports.
Cloud Services
Employ ML APIs, notebooks and managed clusters in AWS SageMaker, Azure ML, GCP AI to scale models.
Data Platforms
Like H2O.ai, Domino and Databricks provide GUI and services for collaborative data science workflows.