Faster, More Scalable Data Imports with AI: Meet nuvo’s Contextual Engine

Imagine importing data without engineering support—AI instantly recognizes every file’s structure, understands its context, and automatically adapts it for import.

That’s nuvo’s Contextual Engine: Helping nuvo Data Importer users import highly variable data more easily than ever before, thanks to nuvo AI, all while keeping them in control.

This guide walks you through using Contextual Engine in real-world scenarios—from de-nesting and column manipulation to attribute extraction, column matching, and more.

Inconsistent inputs, constant fixes: Why manual imports hardly ever scale

SaaS companies face a familiar challenge: Hardly any two customer data files follow the same structure. With imports often behaving like standalone projects, engineering teams get pulled into cycles of reactive scripting—only for the next edge case to break the setup again.

What should be a streamlined process becomes a manual bottleneck, repeatedly draining resources and delaying time to value.

nuvo’s Contextual Engine offers a fundamental shift. Now part of nuvo Data Importer, it leverages contextual AI to interpret structural and semantic patterns within a dataset—automating imports without code while keeping users in control at every step.

It’s built not just to handle variation but adapt to it—turning complex imports into faster, more scalable workflows. This improved experience lets users move seamlessly from uploading a file to reviewing and confirming the cleaned data, all with full visibility and control.

Unlocking context-aware data transformation and cleaning with nuvo’s Contextual Engine

Integrated into nuvo Data Importer, Contextual Engine automatically processes customer data files upon upload. It first analyzes your input file, then restructures it to match the output schema defined in your Target Data Model (TDM).

Unlike traditional import methods that rely on predefined rules, Contextual Engine interprets the relationships between data points and their context in a given dataset, making more relevant and accurate decisions throughout the import process.

With Contextual Engine, users can trust nuvo Data Importer to transform and clean data into their required format quickly and efficiently while keeping full control over every step of the import process:

• Column manipulation: Merges, splits, or reorders columns to fit the required format.
• Nesting and de-nesting: Understands hierarchical data structures and reorganizes data into the appropriate format.
• Metadata and attribute extraction: Automatically identifies and extracts metadata or contextual information from the input file, creating new columns based on metadata or other information when necessary.
• Column matching: Automatically maps data to the correct schema.
• Multi-table detection: Identifies multiple structurally identical tables within a file and interprets their relationships.
• Data cleaning: Cleans the data by correcting formats and fixing typos.
• Fewer steps required: After uploading the input file, users can skip the usual “Header Selection” and “Matching Columns” steps and go directly to the “Review Entries” step to address any remaining errors and confirm the cleaned data.

Time to take control of import workflows with contextual AI

nuvo’s Contextual Engine leverages AI to make data imports faster and more scalable. By understanding the context of your data, it automatically maps, cleans, and transforms even the most complex structures. No more draining your engineering resources!

With Contextual Engine integrated into nuvo Data Importer, you're set to streamline your import workflows like never before. Connect with our team for a personalized demo and discover how nuvo's next-gen solution can transform your data imports.