More and more sensors, technologies and machines are in use in companies and generate gigantic amounts of data every day along the value creation process and far beyond. This data becomes usable and valuable when it is brought together, analyzed and evaluated in a meaningful way. However, companies often use individual solutions for different requirements without an overall concept for data storage and management. This results in fragmented isolated solutions in the form of data silos to which other company departments have no access. As a result a lot of potential is lost. Also processes are slowed down and the company’s innovative strength is inhibited.
To prevent all this, companies need to introduce centralized data management in their operations. This requires a unified platform on which data is stored, linked and visualized. This enables management to make accurate predictions as well as to make processes more transparent and measurable. In addition, processes can be optimized, innovation can be increased, and time and budget can be saved. With CANCOM Data Management, you can introduce central data management in your operations – and thus fully identify and exploit business potential.
In order to be able to manage data uniformly, companies must take into account three concepts that differ in function and area of application: the data warehouse, the data lake and the data hub. While the data warehouse and the data lake focus more on the collection and analysis of data, the data hub primarily serves as an intermediary and data exchange point.
The data warehouse is a central repository for integrated and structured data from two or more different sources. This system is mainly used for reporting and data analysis and is considered a core component of business intelligence applications. Data warehouses implement predefined and repeatable analysis patterns that are distributed to a large number of users in the enterprise.
Data hubs serve as a focal point for core data within a company. They centralize application-relevant enterprise data and enable seamless data exchange between different endpoints. At the same time, they are the primary source of trusted data when it comes to data governance initiatives. Data hubs provide master data for enterprise applications and processes. They are also used to connect business applications to analytics structures such as data warehouses and data lakes.
The Data Lake is a repository of all structured and unstructured enterprise data. It hosts unrefined data with limited quality assurance and requires consumers to process and manually enhance the data. Data Lakes create the foundation for data preparation, reporting, visualization, analytics, and machine learning.
All 3 concepts must be brought into a central platform for data management. It is also necessary to tailor the platform optimally to individual requirements. CANCOM supports you holistically in the concrete implementation.
Basics data intelligence workshop
Added value of machine learning algorithms
Actual & potential analysis
Development of application scenarios and success criteria
Definition of architecture design and sizing
Integration planning for interfaces and existing systems
Selection of the central data storage technology
Proof of concept development
Integration of interfaces & systems
Commissioning of the solution
Documentation of the data intelligence hub
On-premise, hybrid or cloud operation by the CANCOM Managed Services team
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