Improve Data Accuracy and Reduce Operational Costs
In both large and small companies, efficiency and speed are key. Automated Data Processing (ADP) uses software, algorithms, and computing systems to perform data-related tasks automatically with little human intervention.
This includes collecting, processing, analyzing, and reporting data. By eliminating manual steps, ADP accelerates workflows (the sequence of tasks or steps followed to complete a specific business process) and reduces errors, thereby increasing consistency. This enables organizations to generate faster and actionable insights, making more informed decisions.
Powerful Automated Enterprise Visualizations
Dragon1 is a powerful Enterprise Architecture Intelligence platform that enables businesses to create real-time visualizations, integrate data, and automate business processes. You can optimize operations and achieve a better competitive position by implementing innovative automated data processing.
Dragon1 software transforms complex data into clear, real-time enterprise visualizations. The platform integrates multiple data sources to create interactive enterprise visualizations, including IT landscapes, Process Application Maps, Cybersecurity blueprints, IT Infrastructure, and Network Architecture diagrams, all accompanied by dashboards, KPIs, and predictive analytics. These visualizations help businesses understand trends, identify risks, and optimize resources in a way that spreadsheets cannot match.
With our automated data processing capabilities, the software significantly reduces the time and effort required to turn raw data into strategic insights. Automating repetitive tasks and ensuring data accuracy across systems, the platform enables enterprise architects, business and IT managers, process and data analysts, and decision-makers to focus on high-value activities.
Changes to data in the visualizations are immediately saved to the EA repository, and vice versa. If data is changed in the database, it is automatically updated in all visualizations and atlases.
This enhances agility and decision-making, ensuring better alignment between business and IT through visually intuitive data-driven enterprise architecture models.
Competitive Advantage Through Automation
Companies that use auto data processing outperform their competitors by making faster, data-driven decisions. Automated systems provide real-time insights, improve data accuracy, and reduce operational costs. Organizations enhance agility, react quickly to market changes, and stay ahead of the competition.
Also, the employees benefit from automated data processing. Automation does not replace employees; it empowers them to do their jobs more efficiently. Instead of spending hours on repetitive tasks, employees focus on higher-value work such as innovation, customer service, and strategic planning. Staff members access real-time dashboards, making their daily tasks more efficient and their work more impactful.
The Cost of Not Automating
Organizations that rely on manual data processing face several challenges: data inconsistencies, delays in decision-making, and an increased risk of human errors. Without automation, employees spend valuable time collecting and correcting data, rather than focusing on strategic tasks. This results in inefficiencies that can slow down business growth and responsiveness.
Automatic Data Processing for IT Infrastructure Management
An IT manager wants an up-to-date overview of all IT components (servers, networks, applications) within his organization, with data from different sources (e.g., Excel files, databases, and APIs) automatically processed.
Dragon1 enables automatic data processing for IT infrastructure management by allowing users to import data from multiple sources, including Excel files, SQL databases, and REST APIs. The platform utilizes data definition models to classify and structure imported data into objects, including servers, applications, networks, and storage components.
Once processed, this data is mapped into architecture models and visualizations, including IT infrastructure landscapes, application dependency maps, and network architecture diagrams. These models are automatically updated when the source data changes, ensuring IT managers have access to current infrastructure overviews without manual intervention.
The software also supports the application of validation rules and metadata tagging during the data processing stage. This allows users to flag inconsistencies, non-compliance with architectural standards, or missing configuration elements.
The platform includes dashboards with configurable KPIs, enabling monitoring infrastructure health, lifecycle status, and system relationships. Predictive analytics features can be applied to historical and real-time data to support capacity planning and risk analysis.
Dragon1 transforms raw infrastructure data into structured, actionable visual models supporting decision-making and documentation.
The features for implementation
- Data entry
- On the platform, you can import data from Excel, CSV files, databases, or APIs (such as a CMDB or cloud management tool).
- This data contains, for example, a list of servers, IP addresses, software versions, and status information.
- Data cleansing and transformation
- The software removes duplicate records, resolves inconsistencies, and adds missing values.
- It also establishes relationships between objects, such as server links and the associated applications.
- Automatic visualization and analysis
- The software generates architecture models, such as an IT landscape overview or a heat map of vulnerable systems.
- This happens dynamically: if there are changes in the data source, the visualization automatically adapts.
- Reporting and decision-making
- Dragon1 generates automatic dashboards and reports, providing the IT manager with quick insight into, for example, security risks or maintenance needs.
- Alerts or workflows can be set up for critical changes if necessary.
Auto Data Processing for Hospital Management
A hospital wants real-time insight into bed, equipment, and staff occupancy. Manual reports are often too time-consuming and outdated when analyzed.
Dragon1 is used in hospital management to automatically collect and process operational data from multiple systems, such as patient admission systems, equipment tracking tools, and staff scheduling platforms.
Using built-in connectors and import templates, data on bed availability, equipment usage, and staff assignments can be imported from sources like Excel, databases, and APIs.
Dragon1 then structures this data into entity models and visualizes it in real-time dashboards, resource maps, and process diagrams. This removes the need for manually compiling reports and allows hospital administrators to access current occupancy and resource data anytime.
The platform supports custom validation rules, enabling hospitals to detect anomalies such as double-booked equipment, understaffed shifts, or unoccupied critical care beds. Real-time KPIs and alert mechanisms can be configured to monitor capacity thresholds and operational performance, providing timely insights into key metrics.
The predictive analysis features in Dragon1 help forecast resource demand based on historical patterns, such as peak patient intake periods or staff shortages. This provides hospital management with an updated overview to support day-to-day decision-making and enhance the efficiency of resource allocation.
The steps for implementation
- Real-time insights
- The hospital links patient records (EHR/EPD), IoT sensors (on hospital beds), HR systems, and financial systems to Dragon1.
- This provides real-time data on occupancy per department, available medical equipment, and staff schedules.
- Standardization
- Duplicate or incomplete data is automatically recognized and corrected.
- Data from different sources is standardized and merged.
- Better utilization of resources
- The software generates a dynamic dashboard with an overview of:
- Available and occupied hospital beds.
- Availability of doctors, nurses, and specialists.
- Equipment status (such as MRI scanners and ventilators)
- Predictive analyses
- Hospital management receives automatic reports and alerts at critical thresholds (e.g., "ICU is almost full!").
- Staff planning and patient logistics can be adjusted quickly.
- Predictive analytics predicts trends, such as when a department is at risk of overcrowding.
Data is the Backbone of Business Processes
A business process consists of activities or tasks to achieve, for example, creating customer value, lowering costs, optimizing efficiency, and contributing to the company's overall performance. Business processes can range from simple and routine tasks to more complex and strategic activities.
Almost every business process relies on data flow — inputs, transformations, decisions, and outputs. Automation ensures that data moves through each stage accurately and quickly, whether it involves approvals, alerts, calculations, or compliance checks.
Automated data processing allows business processes to run faster, with fewer errors and less human intervention.
For example, a marketing campaign targeting process analyzes customer data to deliver personalized promotions across channels. Or an invoice process that automatically extracts data from invoices and updates financial records. Or customer onboarding processes, such as processing forms, verifying documents, and updating CRM systems.
Value Creation for our Customers
Implementing Auto Data Processing will allow your organization to gain real-time insights, improve efficiency, and enhance decision-making capabilities. The power of automation means fewer errors, faster responses, and a more agile business strategy.
Ready to transform your business? Create a trial account or contact us today to learn how Dragon1 takes your operations to the next level.