Data Sciences Services — Modular Catalog
Service Module
How It Works
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We collect your historical & operational data.
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Clean, structure, and model it for analysis.
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Design custom dashboards (finance, sales, operations) with KPIs and drilldowns.
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Set up auto-refresh schedules so your team always sees up-to-date data.
How It Works
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We explore your data, engineer predictive features, and split it into training/testing sets.
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Train ML models (regression, classification, clustering, time series).
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Validate model accuracy and deploy into your business environment.
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Provide you with a simple interface (API or dashboard) to use predictions.
How It Works
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We map all your data sources (ERP, CRM, spreadsheets).
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Create ETL pipelines (Extract, Transform, Load) to clean & merge data into a data warehouse or lake (Azure, AWS, GCP).
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Establish schemas, indexing & access controls so your analysts can easily pull reliable data.
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Advise on setting or adjusting intercompany pricing policies to ensure compliance and minimize exposure.
How It Works
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We formulate your business or policy questions into statistical problems.
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Apply regression models, ANOVA, panel data models, significance tests.
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Deliver a findings report, explain implications, and hand over analysis files.
How It Works
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We gather sample data (texts, images), label and preprocess it.
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Build and train AI models (using libraries like TensorFlow, HuggingFace).
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Deploy models into your web or internal applications for real-time usage.
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For example, a client support chatbot, an invoice OCR extractor, or a Netflix-like recommender.
How It Works
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Conduct data audits: check for duplicates, missing values, consistency.
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Set up data catalogs & lineage tools so you know where every data element comes from.
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Implement role-based access & privacy controls (GDPR, NDPR compliance).
How It Works
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Finance: Fraud detection, portfolio risk scoring, IFRS 9 ECL models.
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Retail: Customer segmentation, market basket analysis.
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Manufacturing & logistics: Predictive maintenance, supply chain optimizations.
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We design sector-specific KPIs & models, train them on your operational data, and integrate with your existing tools.

