Software Normalization

Fix your tech data foundation, fast

Automatically clean, normalize, and structure your entire technology portfolio with AI-driven intelligence. Turn fragmented, inconsistent data sources into a single, trusted source of truth in days.

Bad tech data kills visibility, productivity & decision-making

Technology decisions are only as good as the data behind them. When technology records are inconsistent, incomplete, or outdated, every downstream initiative becomes slower, more expensive, and less reliable.

Conflicting records across repositories

Vendor-level inventories with no product detail

Duplicate applications and inconsistent naming

Missing lifecycle, version, and capability information

Why Now?

Technology data is becoming a liability

Technology portfolios are growing more complex while governance, risk, and regulatory expectations continue to rise. Inaccurate data is no longer just an operational issue—it directly impacts strategic decisions.

Create a trusted foundation in days

Normalize technology data continuously so architecture, procurement, security, finance, and risk teams work from the same up-to-date portfolio.

See your technology portfolio clearly

Eliminate inconsistencies and siloes with centralized technology intelligence tailored for enterprise architects, enabling faster architecture approvals, and consistent standards across the organization.

Dashboard showing vendor numbers, solution counts, status, and highlighted consolidation opportunities by category.

Cleanse Summary table showing discrepancies among three columns: Repository 1, Repository 2, and Entrio Name.

Stay ahead of change

The technology landscape is constantly changing: mergers and acquisitions, name changes, new capabilities, integration announcements, end of service, end of life. Proactively identify changes before they disrupt compliance or integration plans.

Save time & money

Stop wasting valuable hours manually fixing tech data. Entrio reduces costly errors, streamlines every downstream workflow, and frees up your IT and architecture teams for higher-value initiatives like modernization and strategic roadmap development.

From raw data to trusted intelligence in days

Entrio’s cleansing & normalization engine transforms thousands (even millions) of raw, messy data records into structured, actionable insights. Unlike manual efforts or traditional solutions, Entrio’s AI-driven approach identifies 30-40% more normalization cases—even after other providers have attempted data cleansing.

Merge & de-duplicate

Our engine unifies and consolidates your technology data across all sources, identifying and resolving duplicates and discrepancies to create a unified view of the entire technology portfolio.

Auto-fix errors & inconsistencies

By mapping your data to our Live Technology Catalog, we correct typos, obsolete names, and ensure vendor-solution relationships are accurate.

Enrich with 100’s of data points

Then we apply our proprietary taxonomy to map core capabilities down to features, and add deep, structured insights to each solution.

Maintain accuracy

Entrio’s Live Solutions Catalog continuously sources fresh data points to keep your records up to date and accurate.

Better data, better decision-making

before entrio

Teams question whether portfolio data is accurate

Reporting requires constant reconciliation

Strategic initiatives begin with data cleanup

With entrio

Technology records become consistent and trustworthy

Reporting reflects the actual portfolio

Teams spend time making decisions instead of validating data

Why entrio?

Built for modern enterprise complexity

Entrio continuously updates your technology data providing an accurate view of your portfolio.

Real-time, continuously updated data

Technology records evolve alongside the market.

Deep capability-level classification

Go beyond the surface to understand core capabilities and features.

Broad coverage

Normalize data across applications, software, hardware, market data, and technology services.

Start with data you can trust

Build a stronger foundation for every technology decision.

Get a Demo

Questions?

What is software normalization?

Software normalization is the process of standardizing technology records so applications, vendors, and products are represented consistently across systems.

Can this integrate with our existing systems?

Yes. Entrio integrates with systems like ServiceNow and Snowflake and can enrich data via APIs.

Do we need perfectly clean data to start?

No. Entrio is designed for messy, real-world data and improves it automatically.

Can software normalization help with application rationalization?

Yes. Rationalization efforts depend on accurate data. Normalized records make it easier to identify overlap, redundancy, and consolidation opportunities.

How does Entrio match inconsistent vendor or product names?

Entrio uses a secure entity matching engine to reconcile variations, typos, acquisitions, and rebrands.

How long does software normalization take with Entrio?

Days, not months. Once we identify the data repositories required and ingest the data, the entity matching engine automatically surfaces data quality issues and normalization opportunities.