Forbes Technology Council – July 2020, by Thomas Dhollander: Analytics for Operating in the New Manufacturing Normal. Recently, many process manufacturing companies have started or are progressing with their digitalization journeys. But due to the Covid-19 pandemic, many of them are facing a new truth. Some companies have accelerated their production, others have modified their product lines and a third group have had to stop production due to lack of demand. In this article Dhollander explains how, in the new manufacturing normal, making a digital transformation is mission-critical.

Oilfield Technology – July 2020, by Nicholas Woodroof, Assistant Editor:  Data analysis softens the impact of current crisis. Julian Pereira from TrendMiner explores how the use of data analytics can help Upstream Oil & Gas companies move to next levels of operational excellence and face volatile market pressures. Self-service industrial analytics shows rapid adoption and an increasing array of use cases. In this article some upstream cases engineers have worked on are discussed:

• Well surveillance and optimisation
• Offshore compressor monitoring
• Unexpected flare flow issues

AutomationWorld – June 2020, by Jeanne Schweder: By Seeing Patterns, Analytics Software Improves Process Control. Translating raw data into usable information has been a difficult task for industrial companies. Using TrendMiner, a self-service industrial data analytics software, Sitech was able to overcome this problem. Read the full digitalization journey and the success Sitech achieved:

“Adapting to new software like TrendMiner often asks for an organizational shift: a new way of looking at technology and data. It enforces alternative thinking and a new way of looking at operational performance using data,” says Marc Pijpers, principal process control engineer at Sitech.

Plant Engineering – May 2020, by Edwin van Dijk: Introduce analytics into industrial environments. Put analytics in the hands of the process experts who understand the data best. | What is the best way for a company to collect and analyze the data needed to make data-driven decisions that support good business outcomes? Let’s look at some of the best ways to successfully implement advanced analytics for multiple operational stakeholders.

Control Global – May 2020, by Jim Montague: Cornerstone cracks the data analytics case. | End users are using faster, more capable analyses to make better decisions and optimize operations. Aubyn Chavez, process improvement engineer, Process Improvement Group, Cornerstone in Waggaman, La., near New Orleans advises that software like TrendMiner can enhance or accelerate process knowledge. She proves her point with a few practical use cases and concludes with: “Analytics software is better than spreadsheets because it lets us work faster by highlighting process details better and lets us disprove our traditional prejudices.”

Forbes Technology Council – April 2020, by Thomas Dhollander: Data Scientists Or Self-Service Analytics? Discovering A Winning Approach To Manufacturing Analytics | Today’s manufacturing companies are investing significantly in analytics as part of their digital transformation programs. But analytics is a broad topic on its own, with many different factions and beliefs, and many companies are struggling to understand which approach is the better one. In this post, we’ll focus on two conflicting approaches: the belief that the data scientist should take the lead when it comes to analytics, and the notion that the business user should be in the driver’s seat (often referred to as self-service analytics). So what is the winning approach?

Processing Magazine – April 2020, by Julian Pereira: Reduce Emissions by Improving Sulfur Recovery Unit’s Performance with Self-service Industrial Analytics | Oil & Gas companies are continuously striving to optimize overall equipment effectiveness, performance and profitability within a highly volatile and regulated environment. Several of those regulations are coming from an increasing industry effort towards the reduction of emissions that affect both health and the environment.

In this article Julian Pereira explains in detail how process experts were able to improve the Sulfur Recovery Unit’s Performance with use of TrendMiner.

Industrial Process Products & Technology – April 2020, by Edwin van Dijk: The Benefits of Utilizing Advanced Analytics in Chemical & Process Manufacturing. | Self-service analytics eliminates potential cost-intensive data models because it supports plug-and-play functionality and user-friendly interface for process experts allowing immediate value and ROI. The benefits and competitive advantage self-service analytics bring to a process manufacturing company far outweighs the minimal investment needed to set it up and deploy it. The article includes a range of practical use cases from Trendminer customers.

Pump & Systems – March 2020, by Jasper Rutten, Global Advanced Analytics Manager Huntsman: Advanced Analytics Speed Up Continuous Improvement Cycle. | In many companies, operational data is still kept in separate silos, adding an extra challenge to improve operational excellence by use of advanced analytics. Through various uses cases addressed with TrendMiner, Huntsman was able to increase stable and therefor safer production as well as increasing control over the product quality. This article includes practical use cases:

• Develop a soft sensor on product quality
• Control batch processes with finger printing
• Product Quality Improvement using DMAIC 

Hydrocarbon Engineering – March 2020, published by Callum O’Reilly, Senior Editor: Doing more with data | These days, there is no escaping the phrase ‘digital transformation’. There is no denying that the rise of Industry 4.0 is impacting day-to-day environments. Digital transformation is challenging traditional approaches and can open up new opportunities, if the willingness to adopt is there.

Forbes Technology Council – March 2020, by Thomas Dhollander: Considerations For Analytics-Driven Decision-Making At Scale | To make analytics-driven decision-making possible at scale in an organization, the data needs to be available, accessible and digestible for users. When using a historian, many criteria are already met. The next step is to provide an analytics tool that is tailored to the needs of the users. To make a new tool successful companies must put a set of key success factors in place for enabling successful data-driven decision-making at all levels of the company. Read the article how TrendMiner customers drive for success at scale, among which LANXESS.

Power Magazine – February 2020, by Edwin van Dijk: Using Self-Service Analytics to Improve Power Plant Efficiency | There is a widespread movement to reduce carbon emissions around the world. One way to do so is by improving plant efficiency, but that can be easier said than done. However, self-service analytics could play a role in the process. Advanced technology can help subject matter experts spot areas for improvement faster and more effectively than was previously possible.  Includes practical use cases:

• Increased Efficiency of a Power Generation Plant
• Control Energy Consumption within the Cooling Water Network

IIoT Connection – Published the article Using Self-Service Analytics to Improve Power Plant Efficiency in their February 2020 issue.

Industry Week – January 2020, by Petty Ferry: Seeking Digital Supremacy. LANXESS invests in added analytics capabilities in quest to become digital leader.

“Thus far, Lanxess has significantly increased its capacity utilization, optimized resource efficiency and reduced maintenance costs. The digital transformation also serves to further develop employees”, according to LANXESS CDO Jörg Hellwig. “Competences in the field of digital data analytics will be essential for chemists and chemical engineers in the future,” he says.

Processing Magazine – January 2020, by Nora Villarreal: 5 Ways You Can Improve Your Process Operations with Self-service Analytics | New platforms help process engineers make the most of their data. With real live use cases about how to:

1. Reduce cost and waste
2. Improve product quality and yield
3. Avoid unplanned downtime
4. Reduce energy consumption
5. Share information across teams and shifts

2019

Smart Industry – November 2019: Analytics-driven decision-making for process engineers | How efficient do you want your engineers to be? Includes use case from Arlanxeo.

Manufacturing Automation – November 2019 by Edwin Van Dijk: Power to the Process Engineer | Practical use of self-service data analytics makes process engineers more effective at improving operational performance. Includes use cases from Ashland and Covestro.

IIoT Connection – October 2019 by Edwin van Dijk: Creating an Analytics-enabled Workforce. | New self-service data analytics tools allow plants to create an analytics-enabled workforce that can readily address production issues and continuously improve processes.

Forbes Technology Council – October 2019 by Thomas Dhollander, CTO of TrendMiner: A Simple Recipe For Analytics-Driven Operational Decisions At Scale. | Manufacturing companies today understand that digitalization is required to remain a market leader and sustain future profitability. On the wave of digitalization within the era of Industry 4.0, advanced data analytics has been the primary domain of data scientists. To grow your company into the future… read more.

Processing Magazine – September 2019 by Edwin van Dijk: The Journey to Analytics-driven Production Insights | Controlling business outcomes by democratising analytics at each level of the organisation. Includes use cases from Arlanxeo and Sitech. Also published in:

• Automation.com: Democratized Analytics Guides Industry 4.0

Offshore Magazine – September 2019: Analytics software enhances real-time BOP monitoring | Deepwater Subsea has signed a two-year agreement with TrendMiner, a provider of self-service analytics solutions, to use their software within its BOP real-time monitoring service Janus 24 on multiple rigs.

Technopedia  –  July 2019, 10 Real-world Use Cases: AI and ML in the Oil and Gas Industry | The applications of AI and machine learning (ML) in the oil & gas industry are many, and some of them can really make the difference in a sector that is seeking to renew itself. Download the report and read TrendMiner’s use case at page 6 from Deepwater Subsea.

POWER Magazine  –  June 2019, by Thomas Dhollander & Nick Petrosyan: How to Monitor and Predict Operational Performance with Digital Analytics [PODCAST] | Power plants are capturing operational data in ever-increasing amounts. However, analyzing all the data can be challenging. A number of tools are available that can help. Listen to the podcast

Hart E&P – April 2019, by Edwin van Dijk: Harnessing New Technology For BOP Testing | Implementing self-service analytics not only saves time but provides greater insight. A customer success story of Deepwater Subsea, based on the interview with Deepwater Subsea’s CEO and founder Mike Fry.

Control Engineering – March 2019, by Edwin van Dijk: Connecting quality data to process data | Using advanced analytics can help assure product quality and overall operational efficiencies. See case study example. Also published in:

• Control Engineering’s 6th most clicked articles in April 2019.

• IIoT Connection: Connecting Quality Data to Process Data

Manufacturing.net – March 2019, by Edwin van Dijk: Operating in the Fast Lane | In the world of IIoT, data is considered to be the new oil. But its full potential will only be unleashed if operational context can be taken into account when analyzing, monitoring or predicting operational performance. Shedding necessary light onto time-series data through dynamic contextualization enables you to take your processes into the highest gear of operational excellence, and your organization into the future. Also published in

• Process Industry Informer, starting from page 10.

2018

North Carolina Rural Water Association – November 2018, by Bavo Symens: Emerging Energy, Reducing the water industry’s carbon footprint with advanced data analytics, page 7-9.

Pumps & Systems – October 2018, by Bavo Symens: Use Data Analytics to Comply with HSE Regulations. How the water industry can improve energy management with new performance insights.

PlantServices – October 2018, by Edwin van Dijk: Self-service continuous improvement, Tap into advanced analytics to fuel improvement efforts across the organization.

Processing Magazine – October 2018, by Edwin van Dijk: A new approach to data-driven process improvements. How self-service industrial analytics combined with a DMAIC cycle approach can fuel continuous improvement projects.

Chemical Engineering – October 2018, by Edwin van Dijk: Improve Energy Management to Reduce Your Facility’s Carbon Footprint.

Water & Wastes Digest – September 2018, by Bavo Symens: Emerging Energy, Reducing the water industry’s carbon footprint with advanced data analytics.

Manufacturing.Net – September 2018, by Edwin van Dijk: Self-Service Analytics and DMAIC.

IIoT for Engineers – September 2018, by Bert Baeck: Use Process Analytics Efficiently, page 7-10.

Control Engineering – September 2018, by Bert Baeck: Use process analytics effectively. Pattern recognition software leverages historian data to automate information gathering and make process analytics more efficient and accurate.

ControlGlobal – August 2018, by Renzo Rondags: On the Road to a Data Driven Organisation, page 59 and 60.

ChemInfo – June 2018, by Edwin van Dijk: Reduce Carbon Footprint With Advanced Analytics-Driven Energy Management

Process Industry Informer – June 2018, by Artur Beyer: Self-service Predictive Analytics Reduces Downtime & Avoids Unnecessary Risks

Processing Magazine – May 2018, by Artur Beyer: How to Use a Self-service Predictive Analytics Approach

Chemical Processing – May 2018, by Janice Abel, ARC Principal Consultant: Advanced Analytics Proves Its Value at Total R&C, Self-service industrial analytics software speeds problem-solving and eases capturing and sharing of knowledge.

Flow Control Network – May 2018, by Janice Abel, ARC Principal Consultant: Improving Operations with Advanced Analytics or in the Online magazine on page 10

Hart E&P – May 2018, by Edwin van Dijk: Analytics-Driven Energy Management Reduces Carbon Footprint

Oil & Gas Productnews – April 2018, by Edwin van Dijk: Analytics-Driven Energy Management Aids In Carbon Footprint Reduction

Process Engineering (UK) – March 2018, by Artur Beyer: The emerging impact of batch analytics

CHEManager – March 2018, by Artur Beyer: Fine & Specialty Chemicals focus – Specialty Chemical on the Upswing

Chemical Engineering – Feb 2018: Placing Data Analytics in the Hands of Engineers

ChemInfo – Feb 2018, by Bert Baeck: Using SCADA Data for IIoT Just Became Much Easier

Control Design – Feb 2018: TrendMiner Industrial Analytics Software 2017 R2 

ChemInfo – Jan 2018, by Artur Beyer: Emerging Impact Of Batch Analytics

PlantServices – Jan 2018, by Edwin van Dijk: What to watch for in automation in 2018

ChemInfo – Jan 2018, by Bert Baeck: The Route To Digital Transformation

European Rubber Journal – Jan 2018, by TrendMiner: Arlanxeo rolls out TrendMiner software to plants

PharmTech.com – Jan 2018, by editor Jennifer Markarian: Pharma Equipment Gets Smart

2017

Rubber & Plastics News – Dec 2017, by editor: Arlanxeo rolls out TrendMiner software to plants

Specialty Chemicals World – Dec 2017, by Artur Beyer: Emerging Impact of Batch Analytics

Processing Magazine – Dec 2017, by Thomas Dhollander: Analytics awareness for the process engineer

Oil & Gas Engineering – Dec 2017, by Bert Baeck: Pattern recognition illuminates the downstream

Plant Engineering – Oct 2017, by Bert Baeck: Process engineers need new analytics awareness

Data Informed – Oct 2017, by Bert Baeck: The route to digital transformation

Process Industry Informer – Sept 2017, by Edwin van Dijk: Next generation analytics improves plant profitability

Pumps & Systems – Sept 2017, by Edwin van Dijk: Industrial Analytics – compass to navigate Industry 4.0

Computable -Set 2017, by TrendMiner: TrendMiner voorspelt industrieel onderhoud

Manufacturing – Sept 2017, by Edwin van Dijk: Compass to navigate Industry 4.0: industrial analytics

ARC Advisory – Blog – Aug 2017, by Janice Abel: Next Step: Global Roll-out of Analytics Software

Chemical Engineering – July 2017: Software improves pattern recognition, trend analysis’ with TrendMiner 2.0

Manufacturing Automation Magazine – Jul 2017, by TrendMiner: TrendMiner predictive analytics software 2.0 for process industries 

ARC Advisory – Blog – Jul 2017, by Janice Abel: Total R&C rolls out TrendMiner self-service analytics globally

Chemical Processing – June 2017, by Seán Ottewell, Editor at Large: Data: Finding What’s Hiding Gets Easier

Manufacturing North America – June 2017, by Bert Baeck: Is SCADA getting easier?

Dataconomy – April 2017, by Thomas Dhollander: Data analytics is the key skill for modern engineers

Process & Control (UK) – May 2017, by Bert Baeck: SCADA & the IIoT “Making Better Use of Data is Key to Implementing IIoT”

Manufacturing.net – April 2017, by Thomas Dhollander: A New Age In Manufacturing

Pumps & Systems – April 2017, by Bert Baeck: Using SCADA data for IIoT just became much easier

ARC Advisory – Blog – April 2017, by Constanze Schmitz: Sitech @ EIF 2017 – Process Data Analytics Journey

Energy Global – April 2017, by Angharad Lock: TrendMiner launched at Total to aid reliability

OSIsoft – March 2017, by Fabrice Leclercq: Total presents on TrendMiner self-service process analytics (VIDEO)

Chemical Processing – Feb 2017, by TrendMiner: TrendMiner 2.0 expands self-service analytics

OSIsoft – Feb 2017, by TrendMiner: TrendMiner and OSIsoft sign OEM agreement to enhance integration

ChemInfo – Jan 2017, by Bert Baeck: Google For Industry: Taming Big Data

2016

International Society of Automation (ISA) – Dec 2016, by Bert Baeck: Smarter access to analytics for engineers

Oil & Gas Engineering – Dec 2016, by Bert Baeck: Easier way to use SCADA data for IIoT

Pharmaceutical Manufacturing – Dec 2016, by Bert Baeck: Smarter Access to Analytics for Process Engineers

Oil & Gas Engineering – Oct 2016, by Bert Baeck: Data mining and analytics for performance optimization

Control Engineering – Oct 2016, by Bert Baeck: Data mining and analytics for optimization in oil & gas

Processing Magazine – Oct 2016, by Bert Baeck: The importance of data monitoring in process industries

Processing Magazine – Oct 2016, by Bert Baeck: Efficient self-service analytics for engineers and operators

Pharmaceutical Technology – Sept 2016 by Jennifer Markarian: Making use of process data (interview)

Food Manufacturing – Aug 2016, by Bert Baeck: Plant connectivity and access to assets, systems and data

Automation.com – April 2016, by Bert Baeck: Google for Industry: Taming Big Data

LNS Research – April 2016, by Matthew Littlefield:  Cloudera IIoT platforms and TrendMiner industrial big data analytics

Control Global – April 2016, by Bert Baeck: Self-service analytics for non-data-scientists

ARC Advisory – Blog – Jan 2016, by Peter Reynolds: TrendMiner Develops Industrial Process Analytics for the Non-Data Scientist