Here’s why every manufacturing company should be considering product lifecycle management applications.

Expand PLM software usage throughout your enterprise with PLM apps

Let’s face it, no company uses a single product data management system (PDM) or a Product Lifecycle Management (PLM) system for ALL of its organization’s needs.

Your organization likely uses an abundance of different technology software to collect and store data. These technologies can include customer relationship management (CRM) systems, quality management system (QMS) software, enterprise relationship planning (ERP) systems, application lifecycle management (ALM) systems, and so many more.

If your organization currently uses a PLM system, odds are you most likely paid a pretty penny for it. So why not make the most of that product lifecycle system investment and use your system’s complete functionality?!

Product lifecycle applications support, enable, and enhance the value and footprint of PLM software. PLM Apps go a long away to assist and ensure consistent access to up-to-date product data. They can help expand controlled access to valuable content and give functional groups a single simplified view of files, data, and content all within a single browser-accessible screen.

You’re going to want to invest in these kinds of advanced technology solutions that simplify data gathering processes and expand the value of your PLM investment. PLM apps are meant to help you find data easier which reduces user frustration and helps take productivity to new levels within your organization.

PLM applications, also referred to as PLM system plugins, deliver on the dreams of many organizations. They are a simple solution that drastically increases enterprise PLM usage.

PLM apps integrate siloed data from disparate systems

With the use of multiple complex enterprise systems, your organization’s data is most likely held captive in siloed systems. Many PLM applications help connect these disjointed enterprise systems using common application programming interface (API) connection abilities.

PLM apps simply pull data from other enterprise systems into a new user-interface through API integrations. They don’t rely on interface features from other enterprise platforms or systems (besides the data and information they extract), therefore, they are less likely to be affected by a new release of the underlying enterprise systems!

PLM apps simplify searches for the occasional PLM software user

PLM apps change the user interface (UI) and user experience (UX) of your PLM system so that it’s easier to use. This can be useful for occasional or novice users who can feel overwhelmed by the complexity of their PLM system compared to those that use their PLM system on a daily basis.

PLM applications offer user-friendly interfaces that simplify the complexity of PLM systems and make it easier to search, find, locate, and understand product information. In fact, many of these tools even allow organizations to adjust settings for specific users (such as purchasing, marketing, accounting, etc.) so they can access the direct information they need.

PLM apps Many customers we work with use complex product lifecycle management systems such as PTC Windchill or Siemens Teamcenter. Due to the robust capabilities of these enterprise systems (and other PLM systems), many users find product data hard to navigate – especially if they aren’t daily users within these systems.

PLM apps speed up product development processes by providing users with complete access to real-time complex enterprise data.

Product lifecycle applications really do make PLM easier – see it for yourself by watching this short PLM applications video.

Customize PLM apps without disrupting your PLM software

PLM applications and system plugins offer simple and easy ways to customize enterprise product data systems. A PLM Administrator can customize the apps to conform to their company’s goals and prioritization of tasks without disrupting the PLM software itself.

Time after time, we see organizations add PLM customizations to their mainframe PLM software, only to wind up facing dozens of challenges as new system software versions get released. Because PLM apps are an extension of PLM software systems, they are minimally affected by upgraded software versions and updates (if at all).

PLM apps provide organizations with the ability to easily custom tailor simplified product lifecycle management interfaces or mashups. This functionality provides additional value and integration capabilities with other enterprise systems.

PLM Applications offer a brand-new UI for your intricate product data management system; enabling a fresh and simple user experience. They also have started to help organizations solve problems easier and faster with direct, accessible, and instantaneous insights from data.

Your systems are only as good as how you use them. If employees struggle to navigate your product lifecycle system interface, PLM apps are definitely something you should be looking into!

How PLM apps drive flexibility within your organization

PLM applications provide access to PLM information to employees outside of engineering such as marketing, sales, finances, and procurement.

Access to PLM system data provides another way for teams to identify the broad scale of their day to day activities and information. This can help teams understand and prioritize tasks to be more efficient and productive.

This flexibility allows teams to work the way they want. By enhancing a complex system and tailoring each end-user experience, it’s easy to see how these PLM system plug-ins can drastically improve productivity and drive value across an organization.

What is better than providing every department with product information that they want and need to do their job?!

Want to learn more about PLM Applications and how they could pair up with your current enterprise systems? Let’s have the conversation!

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. 

Business intelligence

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 reportinganalyticsdata miningprocess mining, business performance managementbenchmarking, predictive analytics and prescriptive analytics.

BI technologies can handle large amounts of structured and sometimes unstructured data to help identify, develop, and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability

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 trendsoutliers, 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?

We offer EAC Productivity Apps as enhanced guidance to your specific organizational goals around data management and a way to your amplify your Product Lifecycle Management (PLM) investment. These applications, or PLM plugins, deliver role-based product data to stakeholders throughout your organization. We can combine information from ERP, MRP, PLM, and QMS (as well as others) to securely deliver accurate product data to those who need it.

EAC Productivity Apps: View the brochure