From Raw Data, To Trusted Intelligence

"From Raw Data, To Trusted Intelligence" is an Asato whitepaper by Nanda Vijaydev and Vinay Saxena, published on April 10, 2026, with a reading time of 15 minutes. It describes how Asato's Data Intelligence Engine and knowledge graph turn fragmented IT asset data into a single source of truth that matches how an organization actually works. It is written for enterprise IT leaders who rely on systems of record to decide on software spend, license optimization, security posture and workforce planning.

When to use this page

To find out what this whitepaper is about, who wrote it and when, before opening it.
To point an IT leader who does not trust the data in ITAM, CLM or procurement systems to Asato's paper on the subject.
To find the address where the paper is obtained.

Not a fit

The full text of the paper. This page carries Asato's summary of the paper, not the paper itself.
Figures or customer results. This page states none.
The current description of the Data Intelligence Engine and its data products. See the platform pages.

What the paper covers

Asato's executive summary of the paper makes two points, and its one-sentence description adds the third.

The reliance. Enterprise IT leaders rely on systems of record, such as ITAM, CLM and procurement platforms, to make critical decisions about software spend, license optimization, security posture and workforce planning.
The problem. When the data does not match what leaders intuitively know about their own organization, trust erodes quickly.
The answer. Asato's Data Intelligence Engine and knowledge graph turn fragmented IT asset data into a single source of truth that aligns with how the organization actually works.

The page's headline is the second point in short: "When the data looks wrong, trust goes." Under it, the page says what the paper explains: why leaders stop trusting their systems of record, and how one model of the estate wins that trust back. The paper's title as published is unchanged: From Raw Data, To Trusted Intelligence.

Who it is for

Enterprise IT leaders who rely on systems of record to decide on software spend, license optimization, security posture and workforce planning.

Publication details

Title as published: From Raw Data, To Trusted Intelligence
Authors: Nanda Vijaydev and Vinay Saxena. Nanda Vijaydev is Asato's CPO and Vinay Saxena its CTO, as the page says. Both are on the Team page: https://www.asato.ai/team
Published: April 10, 2026.
Reading time given by Asato: 15 minutes.
Format: PDF.

Measured results

None on this page. The paper's page states no figures, so none are quoted here.

How to get the paper

Open the paper's page on asato.ai, at the canonical address above. The page asks the reader for a few details in a short form, then releases the PDF. This page does not hold the PDF and does not collect details itself.

Reading notes

ITAM stands for IT asset management. CLM stands for contract lifecycle management. The page uses both without spelling them out.

Questions

What is the "From Raw Data, To Trusted Intelligence" whitepaper about?

It describes how Asato's Data Intelligence Engine and knowledge graph turn fragmented IT asset data into a single source of truth that aligns with how an organization actually works.

What problem does the paper describe?

Enterprise IT leaders rely on systems of record, such as ITAM, CLM and procurement platforms, for critical decisions. The paper's summary says that when the data does not match what leaders intuitively know about their own organization, trust erodes quickly.

Which decisions does the paper say depend on this data?

Decisions about software spend, license optimization, security posture and workforce planning.

Who wrote the paper, and when?

Nanda Vijaydev and Vinay Saxena. Asato published it on April 10, 2026.

How long is the paper?

Asato gives a reading time of 15 minutes.

How does a reader get the paper?

From the paper's page on asato.ai. The page asks for a few details in a short form, then releases the PDF.

Next step

Read the whitepaper at https://www.asato.ai/whitepaper-raw-data-to-trusted-intelligence

Last updated: 2026-10-06