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Democratization of Data Analysis

How do we overcome the challenges around deriving real value from data that is collected? The first step in turning data into information is creating context for the data.

Whitepaper: Next-Gen IT/OT Convergence

People are a key data source in the decision-making process, but their buy-in is also crucial for a smooth and successful digital transformation.

Five facts about Industry 4.0

Five areas in production are particularly affected: They slow down production processes, and increase both error rates and workload.

Removing five critical media gaps

Five areas in production are particularly affected: They slow down production processes, and increase both error rates and workload.

Determining the Best Security Strategy for Smart Manufacturing

Five areas in production are particularly affected: They slow down production processes, and increase both error rates and workload.

Everything You Need to Know About Manufacturing Execution Systems

HMI/SCADA software runs industrial plants around the world, helping operators to make critical decisions to run machinery.

Smart Factory: Paperless Production for Your Company

The main concern project planners raise is: Which areas need to be digitized to increase your company’s profitability?

Making the case: Why you should be using a dedicated layer for data modeling

A dedicated abstraction layer is essential because not every application conforms to one single standard.

Everything You Need to Know about HMI / SCADA

HMI/SCADA software runs industrial plants around the world, helping operators to make critical decisions to run machinery.

What is Industry 4.0?

For some years now, everything in production has revolved around Industry 4.0. But what exactly does that mean?

Four practical use cases for Industrial DataOps

Most manufacturing companies realize the benefits of leveraging industrial data to improve production and save costs, but they remain challenged as to how to scale-up their pilots and small-scale tests to the plant-wide, multi-plant, or enterprise level.

IIoT health check: 6 signs you need Industrial DataOps

An executive for an industrial products company once told me even though his factories are full of similar equipment, he still struggled to access meaningful data from the machines.

Production is Evolving… Do you Have the Insights to Keep Up?

Storing production data in your stakeholders’ heads was OK when you had weeks or months to plan production. But make-to-stock is dying—and manufacturers who want to remain competitive are working towards build-to-order.

4 reasons to consider a multi-hub architecture for your Industrial DataOps deployment

Manufacturers and other industrial companies adopting Industry 4.0 want to make industrial data available at scale across the enterprise to drive business decisions.