Data Quality In, Decision Quality Out: Technology Lifecycle Intelligence with OrbusInfinity and IT‑Pedia

Every organization runs on data, but for most enterprise teams, that data is scattered – living in CRMs, spreadsheets, CMDBs, HR platforms, and a dozen other systems that don't talk to each other.

The scale of the problem is significant; 93% of CIOs admit their organizations are not equipped to make fast, informed decisions – with fragmented systems and a lack of real-time, trustworthy data cited as the primary reasons. Meanwhile, 60% of enterprise architects say their current tools can't keep up with CIO expectations and the demand for real-time, actionable insights.

The result? Decisions get made on incomplete information. Reports contradict each other. Teams spend hours debating whether the data is right rather than acting on it.

Do any of these situations sound familiar?

• A transformation roadmap gets challenged in the boardroom because the underlying data is six months out of date.
• An audit reveals 40 applications listed under three different names across four different teams.
• Technology risk reviews miss critical end-of-life systems because lifecycle data was never captured – or was captured incorrectly.

These aren't edge cases; they're the everyday reality for enterprise teams operating without connected, governed data.

The problem isn't effort – most teams work very hard to maintain their data. The problem is that authoritative data lives in siloed systems, never flowing into a central model. Gaps appear fast, manual imports fall behind, classifications become inconsistent. And when stakeholders can't trust what they're looking at, they stop looking.

The repository becomes a reference point rather than a decision-making asset. And the impact is already being felt – 49% of CIOs say delays in accessing insights are already impeding decision-making. So what’s the fix? Better integration.

OrbusInfinity Flow: More Accurate Data, Less Effort

OrbusInfinity® Flow is a native integration platform as a service (iPaaS) within the OrbusInfinity platform. It connects OrbusInfinity to your existing systems of record – pulling in data automatically, on a repeatable basis, with consistent structure.

That means:

• More complete data: Bring in data from all relevant sources so you work from one system and make more informed decisions.
• ‍Fresher data: Your repository reflects what's actually happening in the business, not what was true last quarter. ‍
• Reduced manual effort: Your team stops entering or uploading data and starts analyzing it ‍
• Consistent structures: Data arrives in a standardized format, making reporting and analysis far more reliable. ‍
• Faster setup and expansion: New data sources can be connected quickly using pre-built connectors from the OrbusInfinity Flow Marketplace or by building them using the OrbusInfinity Flow Designer.  

For enterprise architecture (EA), ITSM, and application portfolio teams, this is significant. The systems you already manage become live contributors to your architecture model, not one-time exports.  

The result: a repository that stays current without constant manual intervention.

Eracent IT‑Pedia: Standardized Intelligence Built In

Even with great integration, a common challenge remains: technology data is messy. Vendor names vary, product classifications are inconsistent, and lifecycle dates are missing or wrong.

This is where Eracent IT‑Pedia comes in.

IT‑Pedia is a standardized technology reference library – covering 10 million products and 100 million product attributes – that automatically enriches your OrbusInfinity repository with authoritative lifecycle intelligence. When connected via OrbusInfinity Flow, attributes are auto-matched, normalized, and enriched using the IT‑Pedia database, then synced back to OrbusInfinity daily.

It's continuous, bidirectional, and eliminates the manual effort of keeping technology data current.

When connected to OrbusInfinity, Eracent IT‑Pedia:

• Normalizes technology names: So "MS SQL," "Microsoft SQL Server," and "SQL Server 2019" all resolve to the same record. ‍
• Adds lifecycle context: End-of-life and end-of-support dates, licensing details, and vendor information, automatically maintained.  ‍
• Proactively flags risk: Stay ahead of unsupported and vulnerable technology before it becomes an exposure. ‍
• Improves comparability: Consistent classifications mean your reports and dashboards reflect like-for-like data.  ‍
• Reduces noise: Fewer duplicates, fewer mismatches, and fewer conversations about whether the data is right.

For application owners, portfolio managers, and transformation leaders who rely on dashboards to make decisions, this matters. You can't rationalize what you can't accurately compare.

OrbusInfinity Flow and IT‑Pedia together: The Full Picture

Individually, OrbusInfinity Flow and IT‑Pedia each deliver meaningful improvements to data quality. But together, they're transformative.

94% of CIOs see EA as a strategic enabler – yet 57% of enterprise architects say their insights are underused. Why? Because when the underlying data is inconsistent or incomplete, even the best architectural analysis struggles to land.

Here's what becomes possible when you close that gap:

• Integrated data, enriched and standardized: Systems of record feed OrbusInfinity automatically, and IT‑Pedia ensures that data is clean, classified, and comparable on arrival. ‍
• A repository that stakeholders trust: When data is fresh, accurate, and consistent, adoption follows. Stakeholders engage with the model because it reflects reality.  ‍
• Decisions backed by evidence: Rationalization decisions, investment cases, risk assessments, and transformation roadmaps all improve when they're built on data you can rely on. ‍
• Faster time to insight: Less time spent cleaning and validating data means more time spent acting on it.  

Where to Start

You don't need to connect everything at once. The most effective approach is iterative: identify the one or two source systems that would deliver the most value, connect them through OrbusInfinity Flow, and build from there.

For most organizations, the highest-impact starting points are:

• ServiceNow – for CMDB and service catalog data ‍
• Microsoft Azure – for a clear view of the applications and service inventory, architecture dependencies, identity and access controls, and security and compliance risks‍
• Microsoft Teams/Slack – for notifications, such as lifecycle and risk change notifications or weekly reports on data quality or risk

See It in Action

We're running a virtual event on May 12 that explores exactly this – live demonstrations of OrbusInfinity Flow integrations, IT‑Pedia enrichment, and what becomes possible when you combine the two.

You'll leave with practical guidance on where to start, which sources typically deliver the fastest value, and how to build trust in your repository without trying to boil the ocean.

Register for the webinar here!

‍