Data Management

Exploiting the potential of data

In the modern business world, where sensors, technologies and machines continuously produce huge amounts of data, effective data management is essential. This data, which is generated along the entire value creation process, has the potential to significantly optimize company processes and increase innovative strength.

The challenge: fragmented data silos

However, many companies are faced with the problem that their data is stored in isolated silos without an overarching strategy for data storage and management:

Fragmented systems: Individual solutions for different needs lead to data silos that don't communicate with each other.
Slowed processes: The lack of access and integration slows down operational processes and decision-making.
Lost potential: Important insights and data remain unused, which limits efficiency and innovation opportunities.

The solution: Implement centralized data management

Comprehensive, centralized data management is required to overcome these challenges:

1. Unified platform

Storage and integration: A central platform that stores and links all company data is fundamental.
Visualization: Clear visualization of data helps to identify patterns and trends and make informed decisions.

2. Improved decision making

Predictions and transparency: More accurate predictions through data analysis make it possible to predict future trends and behavior.
Measurable processes: Transparent and quantifiable processes increase the effectiveness of business management.

3. Optimization of processes

Process efficiency: Processes can be continuously improved by analyzing integrated data.
Increased innovative strength: Faster recognition of innovation potential through effective use of all available data.

CANCOM as your data management partner

With CANCOM you can not only implement centralized data management in your company, but also gain full control over your data and use it effectively for your business. Our solutions offer:

Integration service: complete consolidation and integration of your data landscape.
Analytical tools: Advanced data analysis and visualization tools.
Customization: Adaptation of the platform to your specific business needs.
Support and advice: End-to-end support and expert advice to help you make the best use of your data resources.

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The 3 concepts for centralized data management

In order to manage data uniformly, companies need to consider three concepts that differ in terms of function and area of application: the data warehouse, the data lake and the data hub. While the data warehouse and data lake focus more on collecting and analyzing data, the data hub primarily serves as a mediation and data exchange point.

DATA WAREHOUSE

Business Intelligence

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 company.

DATA HUB

Data exchange and data governance

Data hubs serve as a point of contact for core data within a company. They centralize application-relevant company data and enable seamless data exchange between different endpoints. At the same time, they are the main 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 with analytics structures such as data warehouses and data lakes.

DATA LAKE

Advanced Analysis

The data lake is a repository of all structured and unstructured company data. It hosts unrefined data with limited quality assurance and requires the consumer to process and manually enhance the data. Data lakes create the foundation for data preparation, reporting, visualization, analytics and machine learning.

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