Every industry organization knows it's imperative to accelerate with the use of predictive analysis.
It is there for all to see that every week we discover new startups and consultancy companies with Analytics and predictive analysis products and services. But, how can a manager select the best predictive analytics solution for his plants?
Here are some pointers.
1. Not just “buzz words”
"Predictive analysis" is fashionable, so be careful not to fall in love with little-known and untested software solutions and select "experts" who turn out to be "beginners".
For example, ServiTecno with GE Digital software solutions it has been on the industrial market for over 30 years and has been offering and distributing software solutions and services for Analytics for over 15 years, serving companies in Italy and all over the world in every industrial sector.
So here is a reliable partner who will support you in the long term.
2. Problem solving skills
We have advanced industrial analysis tools with problem solving components that enable engineers to quickly troubleshoot continuous, discrete or batch manufacturing process performance by extracting insights from sensors and manufacturing data.
Seamless connectivity, advanced visualization and predictive analytics enable engineers to analyze operational scenarios, quantifying the impact operational changes may have on key performance metrics and identifying the causes of performance variation.
And, to support the entire Industrial IoT (IIoT) value journey, you have capabilities ranging from simple calculations and predictive machine learning models to real-time optimization and advanced control algorithms.
3. Development environment
The analysis software package must enable engineers to rapidly develop analytical solutions, supporting improvements in productivity, yield, quality and efficiency by significant margins.
A comprehensive analytic solution development environment provides visual analytic building blocks to create and test calculations, predictive analytics, and real-time optimization and control solutions with connectivity to historical (such as Historian) and real-time (such as SCADA) data sources and drag-and-drop access to rich functional libraries.
Plug-and-play connectivity to real-time and historical data sources and automation systems allows for faster setup. Built-in support for fine-tuning data quality simplifies real-time data cleansing and validation.
4. Models for rapid development
The Analytics software package can accelerate improvement with templates for greater efficiency.
Engineers are now able to save analytics solutions as reusable templates for easy deployment across similar plants or process units. Furthermore, while the problem solving component of Analytics should enable engineers to find answers faster thanks to an analysis-driven data mining to the solution of process performance problems. The development and configuration capabilities should make it easier for them to acquire specialist knowledge and best practices in high-value analytics models for rapid enterprise-wide deployment.
GE Digital's CSense software solution for predictive analytics uses Digital Twin technology to provide industrial-grade analytics that improve plant and process performance.
5. Tools for Engineers, not just Data Scientists
Here is an Analytics solution to involve engineers above all, not just Data Scientists, in the analysis and simulation process.
With an analytics package accessible to engineers, teams can create a process Digital Twin for smarter operations.
Drag-and-drop visual analytics accelerate time to value and reduce reliance on data scientists and software specialists. The online demos, real "gyms", allow rapid mastery of the software with easy-to-follow demonstrations and guided simulations.
As mentioned above, a rapid development environment is crucial, which thanks to the best solutions provide:
- a rapid guided data mining with guided operating procedures for engineers
- rapid time-to-insight,
- a simple drag-and-drop visual environment for subject matter experts and engineers
- no-code analytics solution templates for simple calculations,
- data cleansing, math capabilities and functions, statistics, machine learning models
- real-time optimization and advanced process control.
Conclusions
ServiTecno, thanks to the Analytics tools of GE-Digital and Ocean Data Systems (dream report) offers “ready-to-use” industrial analytics solutions.
The SCADA-Historian combination allows a rapid and precise acquisition of data from the entire plant, creates time series of data (Industrial Big Data) which are the fuel necessary for all tools to extract reliable and precise KPIs and Analytics.
Operation Hub, C-Sense and Dream Report are the advanced tools for extracting useful information for continuous improvement and for monitoring every qualitative and quantitative aspect of production in an advanced way.