Clear graphs tell you how the data was transformed, what changed, and why. Use a timeline to jump to any point in the past and track the data lineage process in real time. YFiles lets you structure data with automatic layouts and large graph aggregation, to facilitate efficient searches, meaningful reports, and concise analysis. The aggregated data often is cleansed for this purpose. So that you can navigate back from a given field or value to its origins – across all involved processes.Īn enterprise data warehouse (EDW) makes it easy to create analytical reports and trace errors back to their source. The main use-case is to understand which process interacts with which data sets, and how they are all orchestrated In addition, yFiles offers a wide range of automatic layouts and custom visualizations to prepare data for visual analytics and reporting.ĭata Warehousing (DWH) provides a central storage of historical data to understand the data lineage process. Visual representations of data models and architecture help to organize your data and metadata. Clear, interactive graphs quickly and easily display the path, processes, and transformations taken to produce a specific piece of information. YFiles, our diagramming SDK, lets you visualize and edit all aspects of data management. Luckily, there’s a great solution that makes this really easy: A mature, highly customizable software library of ready-to-use components. Relationships between data and business processes, implementing your own visualization solution is ideal. Visualization helps staff fully understand the many ways data is used in the company. Systems, and their interactions, a strong visual representation is often needed. To optimally support existing data structures, In modern business, flexibility and individualization of data requirements is a key to success. Data management also lays the groundwork for successful Business Process Management. ![]() Its goal is to make data usable for optimum support of your company, while upholding security standards and complying with privacy regulations. Data collection, storage, and documentation must also comply with legal requirements, and databases need to be compatible with company software.ĭata management includes a wide array of measures to ensure data quality, consistency, accountability, and security – throughout the data lifecycle. But there’s a catch: Unless this data is error-free and searchable, it’s almost useless. Stored on servers or devices, millions of bits and bytes encode personal and corporate details that can enable far-reaching insights and decisions. For a modern business keeping pace with digital transformation, this basis is data. ![]() It may not be visible, but it’s absolutely essential. Every building needs a firm and reliable foundation.
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