Data integration and management

Create context from cloud and on-premise sources

Solid business intelligence is vital. Add to a unified data-fueled view of your organization by placing your machine data into context. Here are the tools to ingest, manage, und seamlessly integrate data from any source - in the cloud or on premises; systems or applications; finance, planning, IT, or shop floor.

Basics of Mindsphere

How you ingest data into your data lake


With APIs

APIs extract data from your source and load it into your data lake. You can use any HTTP API with OpenAPI definitions or message-driven API with AsyncAPI specs for your data integration solution.


Using SDK

As a cross-platform C software development kit and API library, MindConnect LIB brings together functionalities that help your apps and APIs connect to MindSphere, exchange data, and feed your data lake.


With soft connectors

MindConnect Integration comprises both a library of ready-to-use connectors and a low-code graphical DIY tool for building connectors. Ready-to-go connectors cover systems, from PLCs and SCADA to ERP as well as service platforms like Salesforce.


By upload

A single file or bulk data, with MindSphere's clean, quick, and clutterfree user interface you can drop data into your lake whenever and wherever it's ready to go.

Pulling time series data from connected assets

Data from assets can also be ingested to MindSphere using our wide range of MindConnect connectivity offerings. Based on the use case these asset centric data could also be used together with the Data from other sources like described above.


How you store and manage your data

Your data lake

Capable of handling large data pools, MindSphere's data lake is a repository where you store your data, structured and unstructured, in its native format. Schemata and data requirements remain undefined until you query the data.

Your data lake natively integrates with MindSphere analytics and MindSphere visualization tools. A built-for-convenience user interface, MindSphere's data lake app, helps you administer the data lake while APIs provide automated processes with direct access to data in your data lake.


Your Time Series data

With a comprehensive set of funtionalities, the IoT Time Series Service helps you create, read, update, and delete time series data gathered by your assets. You can import and store time series data in your data lake for advanced analyses and queries.


How to make the most of your ingested data

1. Processing and contextualization


Visual Flow Creator

is a NodeRed-based visual designer for data orchestration flows that comes with rich integration capabilities.


Semantic Data Interconnect

helps you place integrated OT, IT and ET data into context by establishing semantic relationships between disparate sources.

2. Analytics


Predictive Learning

helps you build predictive models using machine learning techniques and a range of algorithms, from Naive Bayes and Random Forest to Logistic Regression to Decision Trees, and Gradient Boosting. You prefer another approach? Use our tool to build and execute your own predictive models in Python.

3. Visualization


Visual Explorer

is a browser-based solution that utilizes Tableau® to create customized, advanced data visualizations, dashboards and reports from data sets.


Operations Insight

Use this out-of-the-box MindSphere application to jump right into monitoring, visualizing and managing production lines and machines. With its flexibility and rich capabilities, Operations Insight is easy to expand and scale.

Get the support you need

    Can I connect and transfer data from my shop floor systems into MindSphere?

      Yes, using MindConnect Integration, data from both cloud and on-premise based systems in your setup can be brought into MindSphere for further contexualization, visualization, and advanced analytics.

    Can I correlate data in Integrated Data Lake and timeseries data from machines?

      Yes with Semantic Data Interconnect (SDI) it is possible to correlate data in Integrated Data Lake and timeseries data from machines providing context to your data.

    What kind of data can I store in the Integrated Data Lake?

      You can store any kind of data including structured, semi-structured and unstructured data in the Integrated Data Lake.


A great community to be part of

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Accelerate your skills


How-tos and tutorials

Shape your own learning journey with MindSphere's comprehensive resources on how to integrate data and use it.