Data Integration Services
Strengthen Your Business with Trustworthy Data Integration
Elevate your business capabilities with comprehensive data integration to enhance efficiency, collaboration, and decision making. Seamlessly integrate data from diverse sources including databases, files, cloud storages, data APIs, and specific applications like enterprise resource planning (ERP), customer relationship management (CRM), and supply chain management (SCM).
Ensure smooth transfer from source to target storage using advanced tools like Adoki, Spark, and Kafka. With robust data persistence solutions, store and maintain data across various technology, ensuring reliability and accessibility.
The Power of Integrated Data for Business
Success
Reliable Data
Integrate your critical business systems to create a unified, single source of truth for your data, ensuring accuracy across your organization.
Increased Efficiency
Automate the data collection process, saving time and minimizing manual effort.
Enhanced Collaboration
Break down data silos within your organization to foster collaboration and enhance cross-departmental communication.
Smart Decision Making
Access reliable data for better organizational insights and informed decisions.
Rapid Market Entry and Business Expansion
Leverage enhanced analytics for rapid solution development and seamless market expansion.
Compliance and Risk Management
Simplify regulatory compliance and enhance risk identification and mitigation efforts.
Streamlined Operations
Identify operational bottlenecks, streamline processes, and optimize resource allocation for improved efficiency.
Cost Reduction
Automate data processes to reduce operational expenses and eliminate redundant data systems, resulting in cost savings.
Seamless Data Integration – Your Gateway
to Efficient Data Management
We Integrate Data from the Following Sources
Databases
Files
Cloud Storages
Data APIs
Public Data Sources
Specific Applications like ERP, CRM, SCM
Data Ingestion
- Experience data transfer from source to target storage, facilitated using tools such as Adoki, Spark, and Kafka.
- We are proficient in data acquisition methods including batch, micro-batch, real-time, streaming, and change data capture approaches.
Data Persistence
- We securely retain essential data beyond its creation process or program execution.
- Our storage solutions encompass a variety of technologies, including traditional relational databases (Oracle DB, Microsoft SQL Server), cloud-based databases (Snowflake, Amazon Redshift, Azure Synapse Analytics, Google Big Query), file systems, big data platforms like Cloudera, cloud storages (AWS S3, Azure Blob Storage) and other non-relational databases.
Data Processing and Orchestration
- Data processing is managed by integration workflows.
- We automate these workflows with orchestration tools such as Airflow.
- Our capability extends to integrating data from various data sources into consistent datasets.
Smoothing Data Integration with Metadata
Management
Metadata Artefact Registry
Disambiguate to other artefacts with descriptive metadata.
Data Catalog
Systematically organize data assets across an organization, providing metadata, descriptions, ownership information and data discovery tools to help users find, understand, and manage data effectively.
Data Dictionary
Create a detailed inventory of the data elements in databases including their names, types, allowable values, descriptions, and owners.
Business Glossary
Clarify business terms and metrics, ensuring consistency in terminology across different departments or teams.
Data Model Repository
Use specifications that describe how data is structured within a database. Data models provide a blueprint for how data is stored, related, and can be used.
Data Lineage
Document the data’s journey through various processes and transformations. Understand where data comes from and how it’s been altered, providing context for analysis.
Data Mapping Catalog
Set data mapping to link data fields from one database or from one format to another. This is a key step in data integration and migration processes, ensuring that data in the target system is understood and used correctly.
Data Contracts
Provide training and involve relevant teams across your organization in the data lineage process.
The Power of Integrated Data for Business
Success
Cost Efficiency
Leveraging a global delivery model, Adastra ensures competitive pricing, reducing your total cost of ownership (TCO).
Industry Expertise
Our consultants support your projects with their deep technical knowledge and expertise in your industry.
Agile Approach
Embracing an agile extract-transform-load (ETL) approach, we adapt to evolving data complexities to enable planning and innovation.
Vendor Independence
Adastra remains vendor-neutral, employing leading data integration tools tailored to your requirements.
Rapid Deployment
Our unique blend of technical, strategic and practical expertise allows us to provide an adept analysis and comprehensive understanding of your environment.
High User Adoption
We conduct thorough training sessions to ensure seamless adoption of both technical and business users.
Success Story
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.
We developed an Azure Data Warehouse solution that facilitates advanced analytics using Microsoft Power BI.
21%
decrease in delayed shipments
25%
decrease in shipping costs
1
source of truth for all data
AUTOMOTIVE SUCCESS STORY
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
AUTOMOTIVE SUCCESS STORY
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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AUTOMOTIVE SUCCESS STORY
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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MANUFACTURING SUCCESS STORY
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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