Announcing a Strategic Partnership to Revolutionize Data Quality in Industrial Operations

In a significant stride towards enhancing data quality in industrial environments, we are thrilled to announce our strategic partnership with Timeseer.AI, an innovative OT/IoT data quality platform.

The convergence of typical OT sensor data platforms (such as historians) with IT-centric cloud platforms is becoming more and more important for many of our customers. This collaboration between Analytics For Industry and Timeseer.AI marks a pivotal moment in IT/OT convergence, aiming to address the critical challenges faced by industries in maintaining the integrity and reliability of their operational data.

“The realization is growing that data is a strategic asset and it is about time we start treating it that way.”

The Challenge of Data Quality in Industrial Operations 

In today’s data-driven industrial landscape, the accuracy and reliability of data are paramount. From operations managers scrutinizing daily production reports to data scientists forecasting potential failures, the dependency on precise data is undeniable. However, as data traverses through complex systems from sensors to end-users, ensuring its quality becomes a formidable challenge. That is why we and Timeseer.AI are joining forces to offer comprehensive solutions that guarantee data integrity across the entire pipeline.

The Perfect World vs Reality

🤔 When is data ‘good’?
🤔 Why does that matter for IT and OT?
🤔 Why is it even more important for users consuming your data products?

We answered these questions in this article and summarized it in these two drawings:

The Perfect World Example of a Data Pipeline: from raw sensor data to business ready information).

The Real World Example of a Data Pipeline: Things go wrong at different levels and are hard to detect and correct manually. 

Introducing Timeseer.AI: A Vanguard of Data Quality 

Led by Bert Baeck, a renowned authority in the field and the CEO of Timeseer.AI, the platform stands at the forefront of ensuring impeccable data quality. With its advanced algorithms and AI-driven methodologies, Timeseer.AI addresses the nuances of data integrity, from sensor level accuracy to the validation of AI models and dashboards. This partnership leverages Timeseer.AI’s expertise to empower businesses with reliable data, fostering informed decision-making and operational efficiency. 

A Call to Action for Industry Leaders

As Analytics for Industry and Timeseer.AI embark on this journey together, we invite industry leaders and stakeholders to join us in embracing this transformative approach to data quality. This partnership is not just about solving current challenges but also about shaping the future of industrial operations. By ensuring the reliability of data, we pave the way for advancements in AI and operational efficiency.

“Is Data which is good enough for Operations, also good enough for Analytics?”

“How do we define Data quality in OT?”

“The role of Data platforms in IT/OT convergence”

Discover how we helped the Port of Antwerp Bruges to solve their Data Quality problems

(in Dutch, English subtitles are available)

Collaborating with Analytics For Industry / Aveva Select Benelux and Scandinavia is a key next step for Timeseer.AI.  Our solution will allow their customers to accelerate the creation of data products using the AVEVA data products and thus accelerate their digital transformation.  Good data quality is an essential component to drive analytics adoption in any industry.

Bert Baeck

CEO, Timeseer.AI

We are helping our customers to bridge the IT/OT gap, in building a scalable and trustworthy Data Platform and provide solutions such as our Energy Monitoring System. We want to make sure that all users – from operator to board room –  can rely on good data. Doing data cleaning and correction at scale is impossible and that’s why we are partnering up with Timeseer.AI.

David Ariens

Manager, Analytics For Industry

Read our Joint Press Release

Antwerp, February 2024:
To advance digital transformation in the Benelux and Scandinavia areas and to expand its network, Timeseer.AI has signed a strategic partnership agreement with Analytics For Industry

Timeseer.AI is a growing top solution provider for data quality optimization. Their solution harnesses the power of advanced artificial intelligence to detect, prioritize, and investigate sensor data quality issues. In parallel, as a key player in the Benelux and Scandinavian industrial digitalization market, Analytics For Industry offers solutions and products which empower organizations to turn sensor data into business-ready information to monitor, analyze, and optimize operational performance on all levels.

More specifically, this collaboration will allow Analytics For Industry & AVEVA customers to embed Timeseer.AI’s solution into their data architecture for increased sensor data quality allowing them to verify and thereby accelerate their organizations’ digital transformations.

 

About Analytics For Industry
Analytics for Industry is a leading provider of operational technology solutions, dedicated to enhancing efficiency and reliability in industrial environments. With a focus on IT-OT convergence, Analytics for Industry delivers innovative solutions that meet the evolving needs of the industry. Analytics for Industry is a dynamic team of over 50 OT professionals with offices in Benelux and Scandinavia, dedicated to supporting companies in achieving significant sustainability goals through solid data-driven insights. They offer optimal support and maximum return on investment in 12 languages, ensuring clients have the tools and insights needed to make impactful, informed decisions towards energy efficiency and process optimization.  Learn more at https://analyticsforindustry.com/ 

About Timeseer.AI
With more than 80 human-years of relevant time-series data experience, Timeseer.AI understands the complexity to turn raw OT/IoT data into high quality, reliable data. The software does the heavy lifting and empowers data teams to detect, analyze, and augment data quality issues before these significantly impact operations and critical business decisions. Learn more at https://www.timeseer.ai/

About Data Quality
Why do we need high quality data? David Ariens wrote this article explaining both the OT and IT pain points: