Data Warehouse Services: Consulting and Development
Data warehouse (DWH) services help companies implement, improve or migrate their DWH solution to consolidate disparate data sources under one roof and enhance their decision-making.
Since 2005, ScienceSoft has been rendering a full range of data warehousing services, including consulting, development, migration, and support to help companies benefit from a high-performing data warehouse.
Why ScienceSoft?
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Data Warehouse Services by ScienceSoft
If you require flexible and secure storage to consolidate disparate data sources with no DWH implementation and administration burden, we offer DWaaS on a subscription fee basis. To rent you out a data warehouse that fits into your analytics infrastructure, we conduct:
- Data warehouse configuration and development.
- DWH integration.
- Data migration and data cleaning.
- Continuous support and administration.
- On-demand DWH configurations.
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Consider replatforming your on-premises data warehouse to the cloud? Whatever strategy suits your case: moving all data or having a hybrid data warehouse where, say, sensitive data remains on premises and the rest of the data is to be moved to the cloud, we can help you with:
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Consider building a new data warehouse from scratch, revamping or improving your legacy solution as it doesn’t satisfy your needs anymore?
Here’s how our consultants can help:
- Come up with a new data warehouse design. Make sure that the design is fully compliant to your business needs by conducting interviews with the stakeholders, thoroughly analyzing the existing infrastructure, the available and future data sources, the types of data to be stored and analyzed (structured or unstructured) and more.
- Recommend one of the alternatives: a cloud, on-premises or hybrid data warehouse.
- Design data integration strategy.
- Advise on data quality procedures.
- Recommend the optimal technology stack.
We do data modeling and implement a data warehouse or the whole solution consisting of a data lake, a data warehouse, ETL (extract, transform, load) processes, and online analytical processing cubes. To meet the project requirements, timeframes and budget, we apply the most relevant of software development life cycle models like Iterative, Incremental, Scrum, Extreme Programming, Kanban, Waterfall.
Our support activities are aimed to ensure that your data warehouse remains the foundation for valuable insights (i.e., ETL processes are running correctly, data quality management is in place, new KPIs are calculated).
For that, we do the following:
- Provide data administration services: create rules to ensure that the data is clean and accurate, add new data sources and load new data, adjust ETL processes.
- Monitor the performance and capacity of your data warehouse – query running times, the correctness of data transformations or a data backup.
- Resolve the identified issues.
Our Project Portfolio
We’ve already helped companies from healthcare, retail, telecommunications, manufacturing, and real estate industries to build efficient data warehouses. Feel free to check our multi-industry project portfolio:
- Big data implementation for advertising channel analysis in 10+ countries
- BI implementation for 200 healthcare centers
- Development of a big data solution for IoT pet trackers
- Implementation of a data analytics platform for a telecom company
- BI implementation for an international real estate developer
- BI implementation for a medical provider of mobile diagnostic imaging services
- Implementation of a BI solution for a US leading HIE vendor
- BI implementation for a machinery maintenance entity with 25k employees
- BI implementation for 500+ nursing homes
TECHNOLOGY STACK
Data warehouse technologies
Cloud services
