Diagramming for
Data Management
with yFiles

Different demos and applications for data management

Use diagrams to optimize the data lifecycle, map data strategy, and ensure data security and quality.

Every building needs a firm and reliable foundation. It may not be visible, but it’s absolutely essential. For a modern business keeping pace with digital transformation, this basis is data.
Stored on servers or devices, millions of bits and bytes encode personal and corporate details that can enable far-reaching insights and decisions. But there’s a catch: Unless this data is error-free and searchable, it’s almost useless. Data collection, storage, and documentation must also comply with legal requirements, and databases need to be compatible with company software.

Data management includes a wide array of measures to ensure data quality, consistency, and security – throughout the data lifecycle. Its goal is to make data usable for optimum support of your company, while upholding security standards and complying with privacy regulations. Data management also lays the groundwork for successful Business Process Management.

In modern business, as in life, flexibility and individualization are key. To meet your company’s unique requirements and to optimally support existing structures and systems, implementing your own software solution is ideal. But this requires considerable effort.
Luckily, there’s a great alternative to doing it all yourself: A mature, highly customizable software library of ready-to-use components.

yFiles, our diagramming SDK, lets you visualize and edit all aspects of data management. Clear, interactive graphs quickly and easily display the path, processes, and transformations taken to produce a specific piece of information. Visual representations of data models and architecture help to organize your data and metadata. In addition, yFiles offers a wide range of automatic layouts and custom visualizations to prepare data for visual analytics and reporting.

Data analysis, and data-driven decision making, are sometimes also seen as part of data management. Naturally, visualization plays an indispensable role here showing capacity limits, outliers, bottlenecks, clusters, and much more. However, diagramming and graphing can lend support at every stage of the data lifecycle.

Live demos for data analysis

The yFiles diagramming library

The yFiles SDK is designed especially for diagram visualization. Its advanced layout algorithms can quickly transform your data into readable, informative, and appealing diagrams. And yFiles is much more flexible than a generic graph editor or app: It lets you create tools tailored to your specific requirements. It provides a graph visualization component, graph editor features, and an extensive set of algorithms for automatic data arrangement.

Software developers use yFiles to display, edit, and optimize data flow, data warehousing, data lifecycle, and more. Importing and exporting data is a breeze: yFiles is compatible with every data format and data source and is available for every major platform: Web, .NET and Java.

Benefits in a nutshell

For every
use case
Numerous source
code examples

Key challenges of data management

Customers use the diagramming SDK yFiles to support many different tasks: from planning and visualizing systems, process chains, and data architecture, to designing databases for efficient storage and compliant documentation. What’s more, data can be structured and prepared for quality management, using a wide range of automatic layouts.

Data Lifecycle Management (DLM)

seeks to ensure data quality throughout the entire lifecycle of the data. Depending on the process and task, data must meet certain quality criteria. Duplicate entries and inconsistent versions are problematic in any case. And data must be easily searchable!

yFiles lets you plan and map the entire data lifecycle. Where does information come from, how is it stored, and when does it need to be deleted? Visualize which data is needed frequently and thus needs to be accessed more quickly. yFiles automatically structures the data with automatic layouts and ensures searchability and easy quality management.

Appollo Digital Innovation Platform – Heatmap-based Application Monitoring & Optimization.Case study: Apollo Systems

Data Warehousing

provides and monitors the necessary physical and/or cloud-based infrastructures to aggregate raw data. It is also about keeping (historical) data accessible, e.g. for analysis later on. The aggregated data often is cleansed for this purpose.

yFiles allows you to design and monitor components for your overall infrastructure, and plan the placement of elements within your system. In addition, you can structure data with automatic layouts and large graph aggregation to facilitate efficient searches and subsequent analysis.

ArenaCore physical solution designer - made with yFiles.Case Study: ArenaCore

Data Security

, one of the most important aspects of data management, aims to protect against data loss and unauthorized access. Measures include data encryption, Identity and Access Management (IAM), as well as backups to prevent loss or misplacement of information.

yFiles helps to plan the data flow and architecture to ensure error-free operations and eliminate vulnerabilities. Visualize who has access to what data, as well as where each data item is stored. Plus, it is easily to track (or simulate) vulnerabilities and failures in real time.

Visualized with yFiles, complex networks are easy to understand.Case Study: Langner Inc.

When it comes to data security,
yFiles leads by example

Any tools used for data management must support data security.
That’s why yFiles focuses on data minimization, right from the start. yFiles sends no data to the outside. It even runs without an internet connection, if desired.
And yFiles uses no third-party software, so you don't have to worry about security vulnerabilities there. Everything from one source means you have a single point of contact for all your questions and needs.
Our acclaimed support handles all concerns quickly, competently, and in strict confidence.
yFiles itself, along with the whole yWorks company, is GDPR-compliant in all areas.

Data Protection

prevents the misuse of personal data. For this purpose, legislation like the General Data Protection Regulation (GDPR) requires detailed data privacy documentation, covering all stages of data collection, storage, and use.

yFiles can help you better understand who has access to what data, as well as where information is stored. This lets you clearly see if there are any unauthorized accesses, if data is stored for too long, if data accumulates in unprotected locations, or if other privacy violations exist.

Privacy Lens - built with yFiles - allows to identify and understand issues with storage and processing of personal data.

Data Modeling

makes it possible to illustrate the data types, their attributes, and how they are linked to each other within an information structure. Ensuring consistent semantics, naming conventions and standard values supports compliance with business rules, regulations, and policies.

Whether UML (Unified Modeling Language) or ER (Entity-Relationship) diagrams, yFiles lets you visually plan, build, and later edit complex data structures and ontologies. Adapt schemas to ever-changing requirements and make them understandable for other stakeholders. Custom visualizations allow you to show critical metadata directly in the graph.

DbVisualizer shows the relationships between database tables with a single click.Case Study: DbVis Software AB
Visualizing database relationships
Data Explorer for Neo4j

Big Data Management

involves recording, integrity-checking, and prioritizing the countless items of raw data used in your company. Filtering for specific information lets you streamline searches, for instance. Later on, the recorded and stored data can be used to optimize processes and improve security, or enable Business Intelligence (BI) analyses later on.

With yFiles, you can show the architecture of how different data streams converge. In real time, you can see where the data comes from, and ensure its integrity and quality. Use smart aggregation and clustering to separate the important data from the unimportant. Later on, this makes it easy to optimize processes.

yFiles consolidates nodes of a large graph and creates clusters based on user-specified constraints.Article: Big Data Structures

Data Governance

sets and implements rules for the data used and/or stored within an organization. It determines the data lineage scope, based on regulations as well as corporate strategy, while also considering critical data elements and reporting attributes. This, in turn, supports Master Data Management (MDM). MDM ensures that all standards, guidelines, rules, and policies are followed, and that the data is available, usable, consistent, accurate, and secure.

yFiles lets you plan very complex data flows, easily – using automatic layouts. Data lineage can be represented visually. That way, all stakeholders can understand how data flows from its source to its destination, how it gets transformed along the way, what changes, and why.
The visualization of a clear data model supports consistent semantics, naming conventions, and standard values and thereby facilitates compliance with rules, regulations, and standards.

BPMN diagram of a manage quality rule.

Much more you can do with yFiles

Many approaches can be used to plan, monitor, and improve data management. Our diagramming SDK supports them all. For example, yFiles lets you depict very large datasets and use visualizations like BPMN diagrams, flowcharts, network diagrams, and data flow diagrams to plan the movement of data within your company. This lets you monitor your network, pinpoint unauthorized access, and more.
In the subsequent steps, yFiles also provides many opportunities for analyzing data and generating insights.
Explore the interactive live demos that show the SDK’s strengths in data management. By the way, the source code of the demos is included in yFiles – even in the free trial!

And yFiles has a superpower: It adapts to any model, method, and scenario. Yes, even the ones we haven’t thought of yet.
Simply contact us, and we’ll discuss your use case and how yFiles can help.

Do you have a data visualization challenge?

Ask our Customer Success Team!

We are pretty sure yFiles can support your use case, too.
Just talk to us – no strings attached!

Email: hello@yworks.com
Phone: +49 7071 9709050
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Numerous world-renowned companies, research institutes, and universities rely on the versatile possibilities of yFiles.

Engineering Design
  • Honda R&D Europe GmbH
  • Mitsubishi Research Institute Inc.
  • Hitachi ULSI Systems Co. Ltd.
  • Enterprise Business
  • BusinessCoDe GmbH
  • Corizon
  • Dirig Software Inc.
  • Information Technology
  • Dell Inc.
  • Hewlett Packard
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  • Procter & Gamble
  • Biovista
  • Sankyo Co., Ltd.
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  • Deutsche Telekom AG
  • British Telecommunications plc
  • Netcracker Technology
  • Financial Services
  • ANZ National Bank Limited
  • Edge IPK
  • Sterci SA
  • Risk Management & Security
  • Netmap Analytics
  • Symantec Corporation
  • e-Security Inc.
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  • JetBrains
  • Headway Software
  • No Magic Inc.
  • Healthcare
  • Rapport Network CIC
  • Academic Research
  • Massachusetts Institute of Technology
  • Technische Universität München
  • Fraunhofer IPA
  • Case studies

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