Siemens Data Hub & Data Science Services
The newly developed data lake bundles company-wide data centrally and enables extensive analyses.
At a glance
- 01The challenge Company-wide distributed, asynchronous communication data and evaluations
- 02Our approach Single source of truth as a smart, integrated data platform that provides the basis for complex performance evaluations in a timely manner
- 03The result Efficient, data-driven decisioning in communications through real-time data analytics
Sector
- Industry
Disciplines
- Data Strategy & Consulting
- Conception
- Technical implementation
Year
- 2020 - 2021
Tech Stack
- Custom Application
- Apache Hadoop
- Apache Spark (Data Processing)
- Apache Livy
- Cloud Services
Services
- Data Platform Engineering
- Data Science Consulting
- Data Visualization
- Data Dashboard
The challenge
Global corporation, decentralized data, distributed systems, different standards
Data-driven and real-time decisions are becoming increasingly important when it comes to using communications budgets efficiently. Due to increasing digitalization, the number of data and sources is growing - keeping an eye on all of them at the same time is becoming more and more complex. In addition, a strong distribution and decentralization of data, as well as data duplications and diversity of data structures make a comprehensive view difficult. As a result, evaluations become costly, complex, erroneous, incomplete, and inefficient. Â
The goal was therefore to create a central data platform in which all communication information is globally converged, cleansed, merged, and normalized. Reliable, reconciled, cleansed and available data should make corporate communications more efficient and decisioning more data-based.
Our approach
Central data hub as single source of truth
Big Data architecture
Integrated and flexible
Close partnership
Efficiency for communications and budgets
The result
Specific solution for global group
For the development of the Data Hub, no standard solution was used but a Data Pool Solution specifically tailored to the customer's requirements was developed. In this way, it is possible to react quickly to the special requirements of many sources and to better meet the needs of the global group.Â
Data pool of communication – completed, real-time, integrated
Data-driven communication in a new way: The Data Hub creates the basis for processing large volumes of data - and for using machine learning and artificial intelligence. Each data source only needs to be connected once. Data evaluation is more efficient and faster. Thanks to data-based decisions, there is efficiency potential for communication as well as for the associated budgets.Â
data sources converge in one place - and growing
10.0+more effective data analysis
12.0%to create a global dashboard for a brand campaign
14.0days
