Data Visualization & System Integration Tools

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 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 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 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?

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.