More digital transformation ideas for raising productivity

Many organizations fail to recognize opportunities to reduce costs and optimize resources.

Digital transformation reshapes many industries by changing how organizations operate and deliver customer value. Many engineers have recognized the compelling benefits of digital transformation, including increased productivity. Through advanced software, automation, data analytics, and enhanced connectivity, digital transformation enables businesses to operate more efficiently, innovate faster, and deliver better outcomes.

Below, we explore more ways in which digital transformation boosts productivity. To read the first article in this series, click here.

Reduce costs and optimize resources

Digital transformation often leads to significant cost savings by reducing waste, improving asset utilization, and optimizing resource allocation. Through digital technologies like the Industrial Internet of Things (IIoT), simulation and digital twins, engineers can monitor equipment and processes in real-time, ensuring that resources like energy and materials are used more efficiently.


Predictive maintenance, enabled by IIoT sensors and AI, helps businesses reduce downtime and prevent costly repairs by identifying issues before they become critical. Avoiding unscheduled outages contributes significantly to production productivity. Cloud service providers (CSP) can reduce IT infrastructure costs, which have become a material expense, by allowing businesses to:

  • Pay for only the CSP resources they use.
  • Avoid investing in an on-premise computing environment.
  • Avoid operating costs for an on-premise computing environment.
  • Utilize a CSP computing environment with superior cybersecurity defenses.
  • Access enormous CSP computing resources instantly when needed.

Leading simulation software vendors include Avena, Autodesk, Dassault Systèmes, GE, and Siemens. Leading CSPs include Amazon, Google, IBM, and Microsoft.

Boost collaboration and communication

Engineers and others struggle to collaborate with staff and external partners due to data-sharing limitations and incompatible technologies. Sometimes, well-intentioned security measures become impediments.

Digital transformation introduces tools that enhance communication and collaboration across teams, departments, and geographical locations.

This interconnectedness reduces bottlenecks, shortens project timelines, and fosters a more agile workplace where engineering teams can collaborate more productively. With the rise of remote work, these tools have become even more critical, allowing businesses to maintain productivity even when their employees are not physically present in their respective offices.

Cloud-based collaboration software includes MindMeister, Miro, Microsoft Teams, Slack and Zoom. Project management software includes Asana, Microsoft Project, and Trello. This software makes it easier for employees to work together in real time, regardless of location.

Bolster agility and flexibility

Many organizations are comfortable with their current processes. That comfort often precludes an agile response when changes in the business environment threaten the business plan.

Digital transformation equips engineers with the agility to respond rapidly to changing market conditions, technological disruptions, and customer needs because the needed data is immediately accessible. In the past, engineers would often have to wait weeks or months to implement responses or launch new products, but digital tools enable them to do so in days or even hours.

For example, cloud computing allows businesses to scale up or down based on demand, enabling them to be more responsive to fluctuations in market needs. Similarly, AI and data analytics enable businesses to pivot quickly based on real-time data insights. This flexibility enhances productivity by ensuring businesses allocate resources optimally and capitalize on opportunities as they arise.

Leading software vendors for data analytics include Google Data Studio, Microsoft Power BI, Minitab, Tableau, TIBCO and TrendMiner. Leading AI software vendors include Anthropic, Google, IBM, Meta Platforms, Microsoft and Open AI.

Empower the workforce and build skills

The workforce, including engineers, frequently feels hemmed in by narrowly defined roles, inadequate digital tools and stifled by a ponderous top-down decision-making culture.

Digital transformation drives productivity by empowering employees with better tools and access to information. With the right digital tools, employees can complete tasks more efficiently, collaborate more easily, experiment and make better decisions.

Digital transformation often opens opportunities for employees to upskill or reskill, enabling them to perform new roles or handle more complex tasks while improving productivity.

Many businesses are investing in training and development programs that teach employees how to use advanced technologies like generative AI, ML, and data analytics tools. This training enhances individual productivity and positions the organization to adapt quickly to technological changes.

Leading immersive training software vendors include AllenComm, EI, ELB Learning, Learning Pool and SweetRush.

Digital transformation is a fundamental shift in how businesses operate and deliver value. It has proven to be a powerful driver of productivity, enabling businesses to streamline processes, automate mundane tasks, make data-driven decisions, enhance customer experience, and boost collaboration and communication. It’s not just a technological upgrade.

Organizations that harness digital transformation’s power will enjoy sustained productivity gains and long-term success. They are better equipped to navigate the complexities of the marketplace, innovate faster, and remain competitive.

Written by

Yogi Schulz

Yogi Schulz has over 40 years of Information Technology experience in various industries. He writes for ITWorldCanada and other trade publications. Yogi works extensively in the petroleum industry to select and implement financial, production revenue accounting, land & contracts, and geotechnical systems. He manages projects that arise from changes in business requirements, from the need to leverage technology opportunities and from mergers. His specialties include IT strategy, web strategy, and systems project management.