Digital transformation has become a buzzword in recent years, and for good reason. Companies that embrace digital technologies are more likely to stay ahead of the curve, differentiate themselves in the marketplace, and meet the evolving needs of their customers.
The benefits of digital transformation can be far-reaching, from improved customer experience to cost savings and increased efficiency.
In this blog, we will explore the various benefits of digital transformation, and why it is essential for companies to embrace this trend in order to remain competitive in the digital age.
What is Digital Transformation?
Digital transformation is a term used to describe the process of transforming an organization’s business model and operations through the use of digital technologies. It’s important because it can help you stay ahead of your competition, improve customer experience and attract new customers.
The benefits of digital transformation include:
- Improved customer experience: Digital transformation can help you better understand and meet the needs of your customers. With the use of data analytics and other digital tools, you can gather insights into customer behavior and preferences, and tailor your products and services accordingly.
- Increased efficiency and productivity: Digital transformation can automate many processes, reducing manual labor and freeing up staff to focus on higher-value tasks. This can lead to increased efficiency and productivity across your organization.
- Competitive advantage: By embracing digital technologies, you can stay ahead of your competitors and differentiate yourself in the marketplace. This can help you attract new customers and retain existing ones.
- Cost savings: Digital transformation can help you reduce costs by streamlining processes and eliminating unnecessary steps. This can lead to significant savings over time.
- Innovation: Digital transformation can open up new opportunities for innovation and growth. By embracing new technologies and ways of working, you can develop new products and services that better meet the needs of your customers.
See how JR Automation saved seven figures with embarking on their digital transformation journey:
Creating a Digital Transformation Roadmap
The first step to creating a digital transformation roadmap is to identify the scope of your transformation. What are you trying to achieve? What are the goals and objectives of your business? How will you measure success?
Once this has been determined, it’s time to set up a timeline for achieving those goals.
Once these steps have been completed, it’s time for action! You should now have a clear idea of what needs changing within your organization and how long it will take before those changes become visible.
Building a Digital Transformation Team
When you’re building your digital transformation team, it’s important to define roles and responsibilities. You’ll want to make sure that everyone understands their role in the process and what they are expected to do. For example, if someone is responsible for monitoring the performance of shop floor machines, they should know what the ideal OEE is of each machine, how they are going to collect that data, and how they are going to distribute it to enterprise decision makers.
It’s also important that you select team members who have complementary skillsets and experience levels. If one person has extensive knowledge of augmented reality while another knows nothing about it at all, this could lead to problems down the line when it comes time for them both to collaborate on projects together – and no one wants that!
Finally, creating a culture where collaboration happens naturally between team members will help ensure successful outcomes throughout your digital transformation project(s).
Adopting the Right Technology
The first step in digital transformation is choosing the right technology. You’ll want to consider:
Software: What are your current needs and how will they change over time? Will you need additional features or functionality?
Hardware: Do you have enough computing power and storage space for all of your data, or does it need to be scaled up or down depending on usage patterns at different times of day/year/etc.? Do you have sensors to track data that you need for production insight?
Tools: What tools do developers use to build applications on top of this platform (e.g., Creo vs. Solidworks)? How easy is it for them to integrate their code with existing systems like databases and messaging queues? Are there any security issues with using these tools – and if so, how can they be mitigated by using another tool instead (e.g., switching from MySQL database server software to Microsoft Azure).
Developing a Digital Transformation Strategy
The first step to developing a digital transformation strategy is to define the scope of the project. What are you trying to accomplish? What are your objectives, and how will you measure success?
These questions can help guide your organization through its transformation journey by setting realistic goals for both short-term wins and long-term gains.
Once you’ve defined what needs changing, it’s time for step two: defining how those changes will happen. This involves creating an action plan that includes timelines for each phase of implementation as well as resources required for each stage (e.g., time from IT staff).
Some companies may choose to tackle multiple projects simultaneously; others might choose only one area at a time depending on their resources available in terms of money/manpower/etcetera).
Implementing the Digital Transformation Plan
Develop a timeline. The first step in implementing your digital transformation plan is to develop a timeline with milestones that will help you track progress.
Set goals and objectives for each milestone. Once you’ve established your milestones, it’s time to set goals and objectives for each one of them so that everyone involved knows exactly what needs to be done at any given time during the project.
Track progress regularly by reviewing dashboards or reports generated from data collected during testing phases of development projects (if applicable). It’s important not only for managers but also employees on lower levels within organizations who may not have access
Monitoring and Evaluating Performance
Monitoring and measuring performance is an important part of the digital transformation process. It allows you to identify areas where you are successful, and areas that need improvement.
Monitoring can be done using a variety of tools, including:
Data Analytics Dashboards (e.g., Thingworx Analytics)
Real-time Data Share (e.g., Windchill, EAC Productivity Apps)
Digital Twin Performance (e.g., Augmented Reality)
Adapting and Adjusting the Plan
As you progress through your digital transformation, there will be changes in the market that you need to respond to.
If a competitor introduces a new product or service, or if something happens in the industry at large, it may change how you approach your own strategy.
You might also find that your goals and objectives have changed since they were first set out; perhaps there’s been an increase in customer demand for something specific that wasn’t previously considered important enough for inclusion on the list.
The best way to handle these situations is by reviewing them regularly with other members of your team – and making sure everyone has input into decisions about how best to adjust course as needed.
Communicating the Benefits of Digital Transformation
In order to communicate the benefits of digital transformation, it’s important to understand who your stakeholders are and what they want.
If you’re working in an organization with a large number of stakeholders (such as a government agency), then there may be multiple groups that need convincing. For example:
The board wants to see results from their investment in IT infrastructure. They’ll likely be interested in metrics such as ROI and cost savings.
Executives want quick wins that will help them achieve their goals, but they also need proof that this new approach will work before they can commit time and resources to implementing it throughout the organization.
Employees want something tangible they can hold onto when explaining why this change is important for them personally (and why it matters).
Digital transformation is a powerful tool that can help you achieve your business goals. It’s important to remember that digital transformation is not just about implementing new technologies, but also about changing how you work and think as an organization.
Digital transformation requires commitment from everyone involved in the process – from the C-suite down through every level of your organization.
To be successful, it must be an ongoing effort rather than a one-time project or initiative. You will need to continuously innovate and improve what you’re doing if you want to stay ahead of competitors who are also pursuing digital transformation strategies.
In conclusion, digital transformation is becoming increasingly essential for companies to stay competitive and meet the needs of their customers in the digital age. However, the process of digital transformation can be complex and challenging, which is why EAC assessments can be extremely helpful.
By conducting an assessment of your organization’s current digital capabilities and identifying areas for improvement, you can develop a roadmap for digital transformation that is tailored to your specific needs and goals.
EAC assessments can help you identify gaps in your digital capabilities, streamline your processes, and develop new products and services that better meet the needs of your customers. By embracing digital transformation and leveraging the expertise of EAC assessors, you can position your company for success in the digital age.
Data Visualization and system integration tools are shaping the future of business and I am going to explain exactly why.
First, it is essential that you understand the impacts of technology and data today.
The impacts of big data
Humans collectively produce approximately 2.5 quintillion bytes of data each day and this number is only increasing with the acceleration of the Internet of Things (IoT). These already astonishing statistics are growing at an ever-increasing rate as our world becomes even more digitized and data-centric.
Due to this overwhelming growth, businesses have begun facing challenges with data capture, analysis, distribution, storage, and visualization. In fact, big data has started to become so large and so complex that businesses are even finding traditional data processing techniques to be inadequate. This is exactly why system integration and business intelligence software have become essential components for successful business data management strategies.
System integration and system integration tools
Enterprise application integration software combine components of sub-systems together into one centralized system. Essentially, system integration applications ensure all business systems function together as one.
For instance, integration applications (such as EAC Productivity Apps) connect existing systems and enable seamless data to flow from various systems into role-based dashboards or “mashups.”
By using applications that integrate all of your business systems, your organization opens up a clear, efficient path, for information to travel from one application or system to another. The process of linking together different computing systems and software applications opens up an organization’s ability to easily collect, aggregate, and share data.
The trend towards business intelligence (BI) has driven many companies to evaluate technology-driven processes for analyzing data and presenting actionable information.
Common functions of business intelligence technologies include reporting, analytics, data mining, process mining, business performance management, benchmarking, predictive analytics and prescriptive analytics.
BI technologies can handle large amounts of structured and sometimes unstructured data to help
System integration, Bi, and data visualization
Tools and applications that integrate business systems incorporate oftentimes incorporate data visualizations, also known as data dashboards.
Data visualizations deliver graphical representations of data or information, often in the form of a chart, diagram, picture, or any other visual illustration. Visual representations of data and information help humans understand the significance of data by transforming it into information placing it in a visual context.
Human visual processing is efficient in detecting changes and making comparisons between quantities, sizes, shapes, and variations in lightness. When properties of symbolic data are mapped to visual properties, humans can browse through large amounts of data efficiently.
If considering the way the human brain processes information, using charts or graphs to visualize large amounts of complex data is much easier than attempting to analyze multiple different spreadsheets or reports. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.
The impacts of data visualization
Data visualization enables executives, managers, and other corporate end users, to easily digest huge amounts of data by displaying visuals.
These data visuals encourage decision makers to compare sizeable amounts of information while data is being revealed beneath several levels of detail. This encourages the natural eye to compare and contrast different pieces of data, that may have otherwise been lost within reports.
System integration tools that collect data from internal and external systems and aggregate it into data dashboards, enable organizations to reason quantitative information. This helps executives, managers, and other corporate end users to better understand trends, patterns, and possible correlations. Data visualizations can also allow decision makers to make better business decisions.
Visual data representations of information assist decision makers in the absorption of information in new and more constructive ways. They encourage a user to think about the substance of the data rather than the methodology.
With the ability to manipulate and interact directly with data, organizations visualize relationships and pattern between operational and business activities. This allows them to identify and act on emerging trends faster, as well as, identify areas that need attention or improvement.
By using system integration business intelligence tools and applications, organizations can collect data from internal and external systems, prepare it for analysis, develop and run queries against that data, and create reports, dashboards and data visualizations to make the analytical results available to corporate decision-makers, as well as operational workers.
Think data visualization and system integration could be what your organization needs?
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