Data management solutions
More and more sensors, technologies and machines are being used by companies, generating huge amounts of data every day throughout the value chain and beyond. When these data are intelligently aggregated, analyzed and evaluated, they become usable and valuable. However, companies often use individual solutions for different needs without a common understanding of data storage and management. This creates isolated solutions that are fragmented in data silos that are inaccessible to the rest of the company. Not only is this a huge opportunity loss, but it also slows down the process and stifles the company's innovative power.
To prevent all this, organizations need to introduce integrated information management in their operations. This requires a unified platform for storing, connecting and visualizing data. In this way, company management can both make accurate predictions and make the process more transparent and measurable. In addition, it is possible to optimize the process, increase the ability to innovate, and save time and budget. With data management from Bodhi Electronics, you can implement centralized data management in your organization, thereby fully identifying and exploiting business opportunities.
| DATA STORAGE | DATA LAKE | DATA HUB |
| A data warehouse is a centralized repository of integrated, structured data from two or more different sources. The system is primarily used for reporting and data analysis and is considered a key component of business intelligence applications. Data warehouses implement predefined, repeatable patterns of analysis that are distributed across a large number of enterprise users. | A data lake is a database of all structured and unstructured organizations. It hosts raw or dirty data with limited quality assurance and requires the user to manually process and update the data. Data lakes provide the foundation for data preparation, reporting, visualization, analysis, and machine learning. | Data centers are the main data points of the organization. They centralize application-specific enterprise data and enable data exchange between disparate points. At the same time, they are the primary source of reliable information for information governance initiatives. Data centers provide master data for corporate applications and processes. They are also used to connect business applications to analysis structures such as data warehouses and data lakes. |
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