Manufacturers Worldwide

Industrial intelligence that scales from one plant to a global manufacturing network.

For MSME, mid-market and global enterprise manufacturers, Dataviss provides one evidence layer across discrete and process operations. Start with one decision and scale across departments, plants and regions while existing systems remain in place.

Illustrative operational viewDV-ENT / READ-ONLY
One governed view12 sites
Evidence-backed findingCross-plant variance ready for review
Enterprise intelligence · illustrative values
PlantsFunctionsRegions
Cross-plant variance ready for review. Sources include Plants, Functions, Regions.
Built for Every Manufacturing Scale

Choose your starting point. Keep the same architecture as you scale.

Dataviss changes the implementation scope—not the core intelligence model—so manufacturers can begin pragmatically and expand without starting again.

MSME manufacturing

Start with one operational decision.

Use available spreadsheets, machine data or existing applications to improve one plant, line or department before expanding.

Focused scope · Assisted start · Modular adoption

Mid-market manufacturing

Standardise intelligence as operations grow.

Connect functions and repeat proven use cases across multiple plants while retaining the ERP, MES, SCADA, QMS and BMS already in place.

Multi-function · Multi-plant · Repeatable rollout

Global enterprise manufacturing

Govern decisions across sites and regions.

Create a consistent intelligence layer across complex system landscapes with enterprise access, deployment and human-governance requirements.

Multi-site · Multi-region · Governed architecture

01 · Manufacturing model

Discrete manufacturing

Intelligence across individual parts, machines, lines, inspections and assemblies—where product identity, routing, cycle time and traceability define performance.

Operating flow

Part → Operation → Inspection → Assembly → Finished product

Illustrative operational viewDV-OPE / READ-ONLY
Throughput variance−6.8%
Evidence-backed findingConstraint isolated to Line 03
Production intelligence · illustrative values
MESSCADAERP
Constraint isolated to Line 03. Sources include MES, SCADA, ERP.
Representative industries
Automotive OEMAuto componentsEV and battery assemblyElectronics and EMSHeavy engineeringIndustrial equipmentConsumer durables
Department-by-department analyst coverage
Plant leadership and finance
Daily Business Analyst

IQVISS

  • Locate margin leakage by plant, line, product or customer
  • Connect throughput, scrap, downtime and overtime to EBITDA
  • Prepare evidence-backed daily and weekly operating reviews
Typical evidence

ERP · MES · Costing · Finance · Plant KPIs

Production and industrial engineering
Production Intelligence

IQVISS

  • Detect cycle-time drift, bottlenecks and schedule variance
  • Compare OEE, throughput and changeover performance by shift
  • Identify the operating conditions behind lost output
Typical evidence

MES · SCADA · PLC · Historian · Production plans

Quality and customer quality
Daily Quality Analyst

QAI

  • Prioritise rejection, rework and customer-risk deviations
  • Connect defect patterns to machine, material, shift and supplier
  • Check whether corrective actions reduced recurrence
Typical evidence

QMS · SPC · NCR · CAPA · PFMEA · PPAP · Warranty

Maintenance and reliability
Maintenance Intelligence

IQVISS

  • Find recurring equipment losses and chronic stoppages
  • Relate maintenance events to throughput and quality impact
  • Prioritise investigations using frequency and business exposure
Typical evidence

CMMS · SCADA · Alarms · Historian · Downtime logs

Supply chain and inventory
Inventory and Supply Analyst

IQVISS

  • Identify excess, ageing, slow-moving and shortage exposure
  • Connect material availability to production and service risk
  • Prioritise working-capital decisions across plants
Typical evidence

ERP · MRP · Inventory · Purchase · Supplier data

Facilities, energy and utilities
Daily Facility and Utility Analyst

FaciliVISS Analyst

  • Detect consumption above operating baseline
  • Find compressed-air, HVAC and idle-load inefficiency
  • Normalise energy and utility use against production
Typical evidence

BMS · Meters · HVAC · Compressors · Water · Tariffs

Visual inspection and traceability
Visual Quality Intelligence

DatVision AI Analyst

  • Analyse recurring surface, assembly and presence defects
  • Connect visual exceptions to product, line, batch and shift
  • Review OCR, code, label and traceability failures
Typical evidence

Images · Cameras · PLC · Product codes · QMS

02 · Manufacturing model

Process manufacturing

Intelligence across raw materials, recipes, process conditions, batches and continuous operations—where yield, stability, quality and resource intensity define performance.

Operating flow

Raw material → Recipe → Process conditions → Batch → Finished product

Illustrative operational viewDV-PRO / READ-ONLY
Batch yield drift−3.1%
Evidence-backed findingTemperature window linked to yield loss
Process intelligence · illustrative values
DCSLIMSHistorian
Temperature window linked to yield loss. Sources include DCS, LIMS, Historian.
Representative industries
ChemicalsPharmaceuticalsFood and beverageMetals and foundriesCement and building materialsPulp and paperSpeciality materials
Department-by-department analyst coverage
Plant leadership and finance
Daily Business Analyst

IQVISS

  • Explain yield, throughput and energy impact on contribution
  • Compare performance across units, products and sites
  • Prepare a management brief from operating and financial evidence
Typical evidence

ERP · Production accounting · Costing · Plant KPIs

Process and production operations
Process Operations Intelligence

IQVISS

  • Detect yield loss, batch variability and process drift
  • Relate temperature, pressure, flow and recipe conditions to output
  • Identify constraints affecting throughput and cycle time
Typical evidence

DCS · SCADA · Historian · Batch · Recipe · Lab

Quality, laboratory and compliance
Daily Quality Analyst

QAI

  • Prioritise out-of-specification and out-of-trend investigations
  • Connect lab results with raw material and process conditions
  • Monitor deviation and CAPA recurrence across batches
Typical evidence

LIMS · QMS · OOS/OOT · CAPA · Batch records · Complaints

Maintenance and asset reliability
Asset and Maintenance Intelligence

IQVISS

  • Identify chronic equipment and instrumentation losses
  • Relate asset behaviour to process stability and yield
  • Prioritise reliability work using operational consequence
Typical evidence

CMMS · DCS · Alarms · Condition data · Work orders

Materials, planning and inventory
Materials and Inventory Analyst

IQVISS

  • Identify raw-material variability and lot-related exposure
  • Monitor ageing, shelf-life and slow-moving inventory
  • Connect material constraints to batch and delivery plans
Typical evidence

ERP · MRP · Lots · Shelf life · Supplier · Warehouse

Utilities, EHS and sustainability
Daily Utility and Sustainability Analyst

FaciliVISS Analyst

  • Track energy, steam, water and utility intensity per unit
  • Detect abnormal base load, losses and operating drift
  • Connect resource consumption to process demand and production
Typical evidence

Meters · Boilers · Steam · Water · Effluent · Emissions

Packaging and visual quality
Visual Quality Intelligence

DatVision AI Analyst

  • Analyse packaging, seal, fill-level and label exceptions
  • Connect visual defects to batch, SKU, line and operating window
  • Review code readability and traceability patterns
Typical evidence

Line images · Labels · Codes · Fill/pack data · QMS

One operating architecture

The Analyst changes by department. Your systems of record do not.

Dataviss works across ERP, MES, DCS, SCADA, historians, QMS, LIMS, BMS, CMMS, databases and spreadsheets. EdgeVISS is introduced only where machine or utility data must be connected, commissioned and verified.

01

Existing systems

Remain the source of operational evidence

02

EdgeVISS when needed

Makes trapped industrial data usable

03

Specialist AI Analyst

Connects evidence and prepares the brief

04

Department owner

Validates, decides and acts

Start with one department and one decision

See which Analyst fits your plant.

Bring a real dataset, recurring review or operational question.

Analyse My Data