NETVIBES | TECHNODAT

Where the biggest losses occur

You have the data. But the answers are split across systems.

Industrial companies don't struggle with a lack of data. They face fragmentation, difficult searching, unclear relationships and decisions based on outdated information.

01

Siloed data sources

PLM, ERP, procurement, quality, schedules and operational data do not provide a unified view.

02

Duplicates and unnecessary variants

Similar parts are designed or purchased again because existing solutions cannot be found quickly.

03

Risks are uncovered too late

Delays, cost overruns or supplier problems only become apparent when they are costly.

04

Lack of decision context

KPIs alone won't explain the cause, the impact of a change or the relation to a product, project or physical asset.

From data to action

One information layer over key corporate data

NETVIBES connects heterogeneous data, enriches it with context and exposes it according to the user's role. Information is therefore not just displayed, but related to a specific part, product, project, process or asset.

1

Connecting sources

CAD, PLM, ERP, QMS, documents, schedules, IoT and external data.

2

Context and data model

Links between parts, projects, suppliers, costs, changes and actual operation.

3

AI, analytics and prediction

Similarities, anomalies, weak signals, risk estimation and recommended next steps.

4

Decisions and collaboration

A single version of the truth for management, engineering, procurement, quality and operations.

AI scenarios with business impact

Where NETVIBES delivers measurable value to clients

This is not AI detached from practice. It's about concrete decisions in procurement, managing large programs and working with the virtual twin.

AI-Guided Part Procurement Savings

Find the right part, supplier and price before a new cost arises

NETVIBES links engineering and procurement data from PLM, ERP, quality and other sources. Using AI and 3D similarity it uncovers similar or identical parts registered under different numbers, prices and suppliers.

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Decisions on whether to reuse, buy or manufacture a part.

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Consolidation of suppliers, variants and orders.

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Better negotiation by linking technical suitability, price and risk.

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Higher reuse of proven and standard components.

5-15 %potential to reduce part procurement costs

30-70 %potential to shorten the design cycle

20-50 %potential to reduce part variant proliferation

Specific results depend on data quality, process and the company's initial state.

AI-Optimized Capital-Intensive Programs

Keep large projects under control in terms of schedule, quality and budget

In capital-intensive programs thousands of tasks, parts, suppliers and decisions are interconnected. NETVIBES unifies current data from engineering, planning, procurement, execution and operations and uses AI to detect risks early.

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Prediction of delays, cost deviations and resource shortages.

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Project KPIs embedded in the 3D context of the virtual twin.

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A shared environment for the investor, engineering, suppliers, procurement and execution.

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Faster evaluation of change impacts and preventive measures.

10-30 %potential increase in daily productivity

10-15 %potential to reduce cost overruns

up to 50 %potential to reduce the number of iterations

Applicability depends on program type, data quality and deployment approach.

AI-Powered Virtual Twin Experiences.

AI-Powered Virtual Twin Experiences

Give product and operational data a shared visual context

A virtual twin connected to NETVIBES is not just a 3D model. It is a dynamic information context combining PLM data, actual operation, analytics, machine learning and generative AI.

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A unified view of data across departments and the entire lifecycle.

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What-if scenarios to assess impacts, variants and risks.

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Data-driven management of bills of materials, engineering changes and quality.

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Low-code and no-code analytics for specialists without the need for programming.

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Virtual assistants and semantic AI for faster orientation in complex data.

BOM intelligence Engineering change Quality management Asset performance

NETVIBES Portfolio

One portfolio for data, parts, textual knowledge and customer context

Individual portfolio solutions focus on different data scenarios. TECHNODAT will help select the combination that matches the specific process and expected benefit.

Information intelligence

3DEXPERIENCE NETVIBES

It connects internal and external data, analytics, collaboration and the virtual twin. It enables creating up-to-date views for decision-making across the enterprise.

DashboardsAI analyticsVirtual twin

Parts and standardization

OnePart

It searches for and classifies parts based on 3D similarity, metadata and company rules. It supports reuse, standardization, preferred parts and smarter sourcing.

3D similarityPart reuseProcurement

Textual and semantic analytics

Proxem Studio

It uses natural language processing and machine learning to analyze documents, comments, complaints, reports and other unstructured data.

NLPSentimentWeak signals

Customer and service context

OneCall

It creates a 360° view of the customer journey and communication. It helps service and customer teams access relevant information at the right time.

Customer 360°ServiceCollaboration

Value for individual roles

Same data. Different view depending on the decision.

ManagementProgram status, costs, risks, KPIs and impacts of changes in the current context.

Development and designSimilar parts, bills of materials, changes, documentation and reuse of know-how.

Procurement and supply chainPrices, suppliers, alternatives, standardization and supply chain risks.

Quality and operationsDeviations, history of issues, operational data, predictions and faster identification of root causes.

SVEC GROUP reference NETVIBES Part Supply

Reference ŠVEC GROUP

Faster data search and more efficient creation of price quotes

ŠVEC GROUP needed to speed up the process of creating price quotes, which required collaboration across multiple departments and heavily burdened the technical preparation of production. TECHNODAT first analyzed the process and then prepared a pilot deployment of 3DEXPERIENCE Part Supply for searching 3D data by geometric similarity.

75 %acceleration of data search in the pilot operation

15,5 %reduction of the overall time effort of TPV activities

70 %of TPV capacity was originally devoted to processing quotes

View full reference

TECHNODAT as a partner

First we choose the decision that makes sense to accelerate. Then we connect the data.

NETVIBES is not just a dashboard. Value arises from the right data scenario, quality links and deployment into a real process. Therefore we proceed from problem analysis to pilot verification and measurable results.

01

Process analysis

We identify losses, decisions, roles and a specific business goal.

02

Data scenario

We determine sources, links, data quality, integrations and the form of the resulting view.

03

Pilot verification

We test the solution on real data and measure its benefit.

04

Implementation and development

We ensure deployment, integrations, methodology, training, support and further development.

Find out where your data can deliver a quick and measurable effect

Together we'll choose a suitable scenario for part procurement, project management, working with PLM data or operational analytics and design a pilot verification.

Request a consultation

FAQ

Frequently asked questions about NETVIBES

What is NETVIBES?

NETVIBES is a portfolio of information intelligence and data analytics from Dassault Systèmes. It helps connect data, AI, collaboration and virtual twins for decision-making across the enterprise.

How does NETVIBES differ from traditional BI?

Traditional BI often focuses on tabular indicators and reporting. NETVIBES also connects technical, product, project, text and operational data with the context of a specific part, product, process or virtual twin.

How does NETVIBES help procurement?

It connects technical and procurement data, searches for similar and identical parts, compares suppliers and prices and supports the reuse/buy/make decision. This helps reduce duplicates, variant proliferation and procurement costs.

For which capital-intensive projects is the solution suitable?

Typically for energy, industrial plants, construction, infrastructure, rail projects, aviation, defense or large manufacturing equipment projects where it's necessary to coordinate many stakeholders, schedules, costs and changes.

What does AI-Powered Virtual Twin Experience mean?

It is a virtual twin augmented with current data, analytics and AI. Users can monitor actual status, evaluate impacts of changes, work with what-if scenarios and navigate complex PLM and operational data faster.

How does the first step with TECHNODAT proceed?

We start with a specific process or decision that currently takes too much time or creates unnecessary risk. Then we identify the data and design a pilot scenario to practically verify the benefit.

Data alone are not enough. You need to be able to connect, understand and use them.

Connect data, AI and the virtual twin for better decision-making

You have the data. But the answers are split across systems.

Siloed data sources

Duplicates and unnecessary variants

Risks are uncovered too late

Lack of decision context

One information layer over key corporate data

Where NETVIBES delivers measurable value to clients

Find the right part, supplier and price before a new cost arises

Keep large projects under control in terms of schedule, quality and budget

Give product and operational data a shared visual context

One portfolio for data, parts, textual knowledge and customer context

3DEXPERIENCE NETVIBES

OnePart

Proxem Studio

OneCall

Same data. Different view depending on the decision.

Faster data search and more efficient creation of price quotes

First we choose the decision that makes sense to accelerate. Then we connect the data.

Process analysis

Data scenario

Pilot verification

Implementation and development

Find out where your data can deliver a quick and measurable effect

Frequently asked questions about NETVIBES

Strategic planning

Digital product model development

Value chain

Customer experience

Collaboration and knowledge

NETVIBES Portfolio

Complete product offering

3DEXPERIENCE NETVIBES

Studio Proxem

Part Supply

Customer stories

NIPASS s.r.o.

Find out what NETVIBES can do for you

Courses and training

Get help

References

Data alone are not enough.
You need to be able to connect, understand and use them.