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The Power of Integrated Data for Business Success
Explore the benefits of data integration, from efficient data management to AI integration, positioning your business for growth.
Seamless Data Integration – Your Gateway to Efficient Data Management
Unify data from diverse sources, manage data ingestion and persistence, automate workflows, and ensure robust metadata management. Elevate your data capabilities and gain valuable insights for informed decision-making.
We Integrate Data from the Following Sources
Databases
Files
Cloud Storages
Data APIs
Public Data Sources
Specific Applications like ERP, CRM, SCM
Smoothing Data Integration with Metadata Management
In our data integration projects, we prioritize metadata management, focusing on key components such as:
Adastra’s Data Integration Methodology
With Adastra’s data integration Services, you will receive:
25% Shipping Cost Optimization for Supply Chain
Our client wanted to enable intelligent retail by leveraging Microsoft Power BI to power the company’s cloud-native retail order management analytics.
Adastra developed an Azure Data Warehouse solution that facilitates advanced analytics using Microsoft Power BI.
decrease in delayed shipments
decrease in shipping costs
source of truth for all data
Integrating 8 IoT Databases and 1 Metadatabase to Reduce Load and Save Space in the Source System
A large automotive company works efficiently with manufacturing (IoT) sensor data. We have lightened the system load and introduced data retention in the source system.
Using Adoki, we have set up and now manage replications of 8 databases and 1 metadatabase with complete history, which has saved significant space in the source system.
- 8 databases
- 12 months data retention
CRM System Integration for More Complex Reports, Sensitive Data Anonymizing
For one large automotive company, we have improved the data quality of customer data, integrated individual CRM modules into a unified data solution, and further enriched it with data from public registers.
We designed and built Spark data marts that are now consumed by business users via Power BI. We are able to process more customer data and create more complex reports. As a result, advanced data analysis is performed on both raw and aggregated data across all CRM domains.
Throughout the solution, we have emphasized anonymizing sensitive data, with some data anonymization already being carried out during acquisition.
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Integrating JIRA Data to Identify Risk
By integrating data directly from the JIRA source system, we can prepare a detailed overview of the status of multiple projects, including all their subtasks and timesheets, for a large automotive company.
We have developed an application that uses Adoki to download JIRA data every day, transform them into the correct format, and upload them to the target system. We are further analyzing and visualizing the integrated data in reports that allow the customer to:
- Monitor project statuses overall and in detail.
- Monitor progress on their subtasks.
- Detect risk areas down to the timesheet or project-financing level.
As we can determine risks early, we can give the people responsible on the customer’s side advance warning of any potential dangers or complications.
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Integrating Public Registers to Improve Data Quality
At a large manufacturing company, we have automated data uploads from public registers. This has eliminated errors caused by freely, manually entering data on company addresses and executives.
We decided on automated data uploads from public registers. We set up regular integrations, including daily data uploads and daily checks. We continuously verify that customer input data is accurate and up to date.
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