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:
ScienceSoft developed a data management and analytics platform for a multinational FMCG corporation with more than 200 markets, 1 billion consumers and 60,000 employees, which helped the Customer distribute 100 SKUs through 10 large retail chains and 10,500 stores.
ScienceSoft developed a DWH and an analytics solution to help 200 US healthcare centers and retirement homes process patient and medication data and optimize their management processes due to prompt analytics reports.
ScienceSoft delivered a scalable data management solution that allowed processing 30,000+ events per second from 1 million devices to allow the users to track their pet’s location in real time, as well as send and receive photos, videos and voice messages.
ScienceSoft designed and implemented a DWH and a big data analytics platform to collect the data from multiple sources and get insights into customer behavior to enable forecasting.
ScienceSoft developed a DWH and an analytics solution to allow the Customer to integrate the data from disparate sources and better understand their business with a comprehensive financial analysis.
ScienceSoft developed a centralized data management platform for the Customer to get a 360-degree customer view, optimize stock management, and assess employees’ performance.
ScienceSoft integrated disparate data sources in a cloud DWH solution for the Customer to achieve improved visibility into internal business processes and conduct company-wide reporting and analysis.
ScienceSoft delivered the solution, which allowed the Customer to aggregate patient data available from different healthcare providers in centralized storage with several security levels set based on user roles.
ScienceSoft migrated a big data warehousing solution for advertising channel analysis in 10+ countries to help one of the top market research companies conduct analysis up to 100 times faster and process 1,000 different data formats.
ScienceSoft developed a robust data management and analytics solution to automate data flow management and obtain company-wide reporting. The Customer’s employees can now conduct comprehensive financial analysis and perform proactive capital markets regulation.
TECHNOLOGY STACK
Databases and data storages
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Cloud services
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