Expertise

Data Warehousing Services by S-PRO

The primary objective of any business is to optimize decision-making processes, and robust data warehousing helps you achieve this goal.

At S-PRO, we consolidate diverse data sources, delivering enhanced business intelligence, time savings, and improved data quality.


Clients

Amina Bank
Crypto bank with a headquartered in Zug, Switzerland.
#Finance
CHCH
Clear Street
A diversified financial services firm which modernizing the brokerage ecosystem.
#Finance
USUS
Dragon Capital
An investment firm that has navigated Ukraine’s rocky financial waters, seizing hidden opportunities for its clients.
#Finance
UAUA
Hastings Deering
Sells, services, rents and supports new and used Caterpillar machinery, equipment and power solutions.
#Manufacturing
AUAU
Hyposwiss
A Swiss Private Bank located in Geneva.
#Finance
CHCH
Maverix Securities AG
One of the leading Swiss Securities Houses in the Structured Products market.
#Finance
CHCH
Societe Generale
A French-based leading financial services group.
#Finance
FRFR
Sygnum
A global digital asset banking group, founded on Swiss and Singapore heritage.
#Finance
CHCH

Our Data Warehousing Services

Data Warehouse Implementation

  • Data modeling and design
  • Development and implementation of ETL processes
  • Data integration and loading
  • Performance tuning and optimization
  • Creating and maintaining a metadata repository
  • Implementation of security measures and access controls
  • Ensuring industry-specific compliance
  • Integration with business intelligence tools
  • Testing of the data warehouse and quality assurance

Data Warehouse Migration

  • Existing data warehouse evaluation and dependence analysis
  • Migration strategy, risk assessment, and planning
  • Data profiling, cleansing, and transforming
  • Schema mapping and transformation rules
  • ETL (extract, transform, load) migration
  • Data movement and synchronization
  • Performance testing and optimization
  • Thorough testing to validate the migrated data accuracy and consistency

Data Warehouse Optimization

  • Analysis of the existing data warehouse performance
  • Performance insights and areas for improvement
  • Evaluation and optimization of database indexing strategies
  • Implementing partitioning techniques
  • SQL query optimization
  • Employing data archiving and purging strategies
  • User concurrency management
  • Hardware and configuration optimization
  • Caching and materialized views

Data Warehouse Advisory Services

  • Current assessment of data warehouse infrastructure
  • Business alignment and requirements gathering
  • Evaluation of existing data warehouse technologies
  • Selecting appropriate platforms or tools
  • Data governance and compliance framework
  • Scalability assessment, roadmap for future infrastructure needs
  • Best practices for data modeling, ETL, indexing, and query optimization
  • Training and skill development

Data Warehouse Support And Maintenance

  • Issue detection and incident management
  • Routine maintenance tasks planning
  • Performance monitoring and optimization
  • Data quality management
  • Addressing user queries and issues and accessing requests
  • Resource utilization trend monitoring and capacity planning
  • Security audits and compliance checks

Data Warehouse As A Service

  • Managed infrastructure
  • Automated resource provisioning on demand
  • Integration with data sources, BI tools, and data analytics infrastructure
  • Automated ETL (extract, transform, and load) processes
  • Built-in security and compliance
  • Dynamic resource scaling and performance optimization
  • Automated updates and maintenance
Show All

6 Reasons for Data Warehousing

  • Better Performance
  • Cost-Efficiency
  • Process Automation
  • Enhanced Scalability
  • Impressive Elasticity
  • Data Access Consolidation

Access the latest technologies, hardware, and software enhancements to improve performance and efficiency. Data warehouse services allow you to distribute workloads across locations and clusters. Using modern infrastructure speeds up the transformation of raw data into actionable insights. That means you swiftly respond to changing market conditions, emerging opportunities, and evolving customer needs.

Traditional data warehouse setups require substantial server, storage, and infrastructure investments. With our data warehouse service, you leverage cloud-based solutions without the need for significant initial capital expenses and maintenance overheads. Eliminate the risk of underutilized capacity by dynamically scaling up or down based on your current data needs.

Automate processes like software updates, system monitoring, performance optimization, and other repetitive activities. Let your team focus on more strategic activities like refining analytics, improving data quality, or implementing advanced features. Automated processes follow predefined rules and workflows, minimizing the likelihood of mistakes that occur when employees perform tasks manually.

With our data warehouse company, there is no need to worry about limited storage space. The cloud-based model allows you to effortlessly expand your data processing capabilities in response to increasing demands. Handle large-scale data processing tasks, complex queries, and analytics on expansive datasets without concerns about performance bottlenecks or slowdowns.

Elastic data warehouse services are adaptable to changing data consumption needs. During high-traffic periods like month-end financial close, companies can scale up the processing engine to handle increased workloads efficiently. During slower periods or when data processing demands decrease, resources can be scaled down, preventing unnecessary expenses on infrastructure.

Ensure business insights are aligned, consistent, and accessible to all relevant stakeholders. With data warehousing and report development services, users seamlessly access and retrieve relevant information from a single, consolidated interface without navigating multiple systems. This not only streamlines their workflows and saves valuable time but also promotes a collaborative culture.


Process

Our Data Warehouse Development Process
00
01
Initial Consultation

Initially, we schedule a call to know your data warehousing needs. It’s crucial to discuss data sources, types, and integration points. We gather business requirements to define the scope, objectives, and success criteria.

02
Data Warehouse Design and Modeling

Then, we create a conceptual and logical model of the data warehouse architecture, including entities, relationships, and attributes. Our specialists design the structure to efficiently store and organize data for reporting and analysis.

03
ETL (Extract, Transform, Load) Process

S-PRO extracts data from source systems, transforms it into the desired format through cleaning, filtering, and aggregating, and loads it into the data warehouse. Download methods should be accurate and narrowly targeted, addressing specific objectives.

04
Testing and Validation

At this stage, we conduct thorough testing to validate data accuracy, performance, and adherence to business requirements. We ensure that transformed data maintains consistency across dimensions and attributes.

05
Deployment and Maintenance

Finally, we deploy the ready data warehouse solution to the production environment. Another task is to ensure capabilities for efficient report generation and analysis. We implement a maintenance plan for regular updates, performance monitoring, and issue addressing.


Technology stack

Our Tech Stacks for Data Warehouse Development

Cloud Platforms

  • Microsoft Azure
  • AWS
  • Google Cloud

Databases

  • SQL (PostgreSQL, MySQL)
  • NoSQL (MongoDB, Cassandra)

Data Integration

  • Talend
  • Azure Data Factory
  • Apache Kafka

Data Visualization

  • PowerBI
  • Tableau
  • Zoho Analytics

Big Data

  • Apache Hadoop
  • Apache Spark
  • Apache Kafka

Machine Learning for Data Warehousing Company

  • PyTorch
  • TensorFlow
  • Keras

Our Case Studies

  • ZZ AG
  • Clear Street
  • Janado
Internal platform for an investment firm
Asset management platform
ERP platform that helped our client to increase revenue 10x

Facts about
S-PRO

250+
Team members
300+
Projects delivered
95%
MVPs converted into solutions
6 / 8
Countires / Offices worldwide

Why Customers Choose Us

01
Experience and Expertise

S-PRO is a team of professionals specializing in data warehouse technologies, encompassing data modeling, ETL processes, and performance optimization. We implement best practices and industry standards to deliver high-quality results. Our company has a proven track record of successful solutions for startups, SBMs, and enterprises in fintech, renewable energy, healthcare, hospitality, manufacturing, logistics, and other domains.

02
Data Security and Compliance

With S-PRO, you shouldn’t worry about unauthorized access or data breaches. We implement robust security protocols to safeguard sensitive data within the data warehouse. For example, we use encryption, access controls, and authentication mechanisms. Our specialists guarantee compliance with data protection laws like GDPR and industry-specific regulations like HIPAA or PCI DSS.

03
Agile Approach

S-PRO employs iterative development cycles, allowing for continuous feedback and refinement. We easily accommodate changes in project scope, technology, or business priorities, ensuring that the data warehouse aligns with evolving needs. The Agile approach helps us address issues as soon as they arise, lowering time and budget costs. Regular sprint reviews and constant communication keep you aware of all project nuances.

04
Customization and Flexibility

S-PRO understands that one size does not fit all in the context of a data warehousing service. We craft solutions specifically tailored to your needs, considering your business objectives and processes. At the same time, our flexibility allows us to adapt quickly to changing needs, whether it involves modifying data models, adjusting ETL processes, or incorporating new data sources.

05
Convenient Time Zone

With headquarters in Switzerland, additional representations in the Netherlands and the USA, and R&D centers in Poland and Ukraine, we seamlessly engage with clients worldwide. This ensures that key project meetings, discussions, and updates will be scheduled at times convenient for all parties. Similar time zones lead to faster decision-making and timely support, minimizing downtime and addressing issues promptly.

06
End-to-End Solutions

Our company serves as a single point for the entire data warehouse project. From initial consultation and planning to development, migration, optimization, and ongoing support, we support you at every stage of your software journey. With end-to-end control over the project, S-PRO maintains consistent quality standards, resulting in a cohesive and robust data warehouse solution.


Frequently Asked Questions

How do I know if my organization needs a data warehousing service?

Consider implementing a data warehouse if your organization deals with large volumes of diverse data from many sources. Especially if you face challenges of obtaining timely and accurate information and want to improve the decision-making process with the help of consolidated, organized, and easily accessible data.

What is the difference between a data warehouse and a database?

A database is a structured data collection organized for efficient retrieval and modification, typically focusing on transactional processing. А data warehouse is a specialized database designed for analytical processing, consolidating, and organizing data from various sources. It supports complex queries, reporting, and data analysis for decision-making purposes.

How long does it take to implement a data warehouse?

The implementation time can vary significantly based on the complexity of your data ecosystem, the scale of data integration required, and the chosen technology stack. Our data warehouse company needs a few months for smaller and less complex implementations and a year or more for a comprehensive deployment.


Get in touch

Get in touch
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R&D centers
Zug, Switzerland (HQ)
Dammstrasse 16, 6300
Zurich, Switzerland
Hardturmstrasse 161, 8005
Lodz, Poland
Zachodnia 70, 90-403
Lviv, Ukraine
Heroiv UPA 71, 79000
Kyiv, Ukraine
Verkhnii Val St, 24, 04071
Business representatives
Salt Lake City, USA
Kiln SLC, 26 S Rio Grande St, UT 84101
Austin, USA
11801 Domain blvd., 3rd Fl, Austin, TX 78758
Amsterdam, Netherlands
Science Park 608, 1098 XH
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