James Roberts

James Roberts

James Roberts is the President and Chief Solution Architect of LHP Data Analytics and IoT Solutions. James joined LHP in 2016 and has 10 years’ experience in Advanced Analytics and IoT, technology consulting, and management prior to joining LHP. At LHP, He leads the technical team on projects from pre-sales through delivery, which includes the following verticals: Self-Service Analytics (Business Analytics), Advanced Analytics (Predictive Analytics/Machine Learning/Data Science and Optimization), IoT Digital Twins, IoT Application Enablement Platforms (AEP), Big Data/IoT/Cloud Infrastructure, Custom Web/App Development, Business Process Consulting, Technical Consulting, and IoT Analytics Training. James is actively working with his customers’ leadership and execution teams to transform their organizations into market and industry leaders by leveraging analytics. James and his team target quick win projects (6 weeks) with the customers via high-value deliverables that prove their ROI and methods.

Recent posts by James Roberts

8 min read

What is Master Data and How does it Impact the Automotive Industry?

By James Roberts on Jul 7, 2022 2:09:59 PM

  The term “data” can have an overall significance for our everyday wants and needs. Certain new-age products, like smartphones or smart cars, start with data. In the automotive world, data has a critical role to play in product development and safety altogether; this role will become more important as this industry moves towards distributing more highly sophisticated vehicles in the future. Having a secure baseline of master data is critical for automotive engineers because it allows them to make sense of the automotive world and the products they build within it. If you are an automotive organization looking to maintain growth in new technology and drive positive business outcomes, having a proper master data management solution will help provide real value in those areas. Also, the copious amounts of information within an organization’s master data can clearly define its core values, which can establish a clear path for longevity. Even in other industries—healthcare, manufacturing, aerospace—the centralization of data is a phenomenon that should be becoming normalized. Master data helps optimize organizational consistency, accuracy, and innovation, directly impacting a data-dependent world like automotive.
Topics: Analytics Master Data
8 min read

Why is Data-driven User Experience important in EV technology

By James Roberts on May 12, 2022 4:02:59 PM

What is the Importance of a Data-driven User Experience in Automotive?  
Topics: Data Analytics Electric Vehicle
9 min read

How Data Analytics Enables Growth for EV Manufacturers

By James Roberts on May 9, 2022 1:45:25 PM

How Data Analytics Enables Growth for EV Manufacturers   Introduction The Electric Vehicle (EV) is not new, but it has been receiving significantly more attention in recent years. Advances in both EV analytics and battery technologies have led to increased automotive market share. However, this growth is not attributed to hardware alone. The modern mechatronic vehicle marries electrical storage and propulsion systems with electronic sensors, controls, and actuators, integrated closely with software, secure data transfer, and data analysis, to form a comprehensive transportation solution. Advances in all these areas have contributed to the overall rise of EV’s, but the common thread that runs through all these elements is data analytics.
Topics: Analytics Electric Vehicle
5 min read

Infographic: Digital Transformation — Four Keys to a Successful Launch

By James Roberts on Mar 7, 2021 10:39:01 PM

Digital Transformation — Four Keys to a Successful Launch   A digital transformation alters how a company does business. It’s a big move that affects work processes, company culture, and customer engagement. Most companies contemplating a digital transformation recognize the value of such a significant change — the ability to respond to an evolving market, meet customer needs, improve internal costs, etc. — but many are not sure where to start or how to boost the odds of success.
Topics: Data Analytics IoT IIoT digital transformation
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