DIGITAL TRANSFORMATION

Ensure a better digitalization outcome with guaranteed data accuracy

BAD DATA CREATES BAD OUTCOMES

Data is at the heart of the digital transformation journey. It is foundationally used by people, processes, and technology to transform how work is done. Data must be valid, reliable, and accurate for its use everywhere and by everyone across the enterprise—engineers, operators, digital leads, CEOs, IT analysts, data scientists, etc.

Bad data creates bad outcomes. Poor data quality costs the average company more than 15% of their revenue each year. Data integrity/quality is the necessary layer between the source—data acquisition & storage in historians, data lakes, SCADA—and the applications of that data—visualization, analytics, predictive models, optimization, and custom AI tools. Without it, projects and outcomes are destined to fail.

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amount of a data scientist’s time spent on cleaning data

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Value added by models based on reliable data

APERIO can help you with your pain points

Trusted data is used for improving the reliability, performance, and competitiveness of an industrial organization. Superior data means:

Better Analytics

Leverage APERIO DataWise’s validated data to:

  • Create detailed process and asset-centric dashboards
  • Build custom analytics models
  • Better plan your maintenance

Enhanced Predictive Modeling

Leverage APERIO DataWise’s validated data to:

  • Monitor asset performance online
  • Improve reliability and safety by predicting behavior
  • Minimize unplanned downtime

Optimized Processes

Leverage APERIO DataWise’s validated data to:

  • Optimize operating conditions and costs
  • Reduce energy usage & emissions
  • Improve operational efficiency and OEE

High Value Custom AI Tools

Leverage APERIO DataWise’s validated data to:

  • Further analyze data, apply statistical models and generate insights
  • Apply autonomy to the data model
  • Employ models that emulate human cognition

“Reliable, accessible data as the basis for digital transformation guarantees the accuracy of all data no matter its use within a digitalization/IIoT project. The continuous monitoring of hundreds of thousands of real time data streams enables immediate action and with confidence. Eliminating data quality issues means experts can do the work they were hired to do; for example, data scientists can focus on value-added activities, instead of data cleaning.”

Unlock the value of superior data

The future of your industrial data value chain is at your fingertips. Improve data accuracy, security, and value, for smarter business decisions based on real-time, trusted, superior data.

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