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Intelligent Data Cloud
Folsom, United States
B
1-10 Employees
2019
Key takeaway
The company highlights its expertise in addressing the challenges of integrating multiple systems, which often leads to incomplete and inaccurate data. This experience is particularly relevant for organizations looking to improve their data warehousing strategies.
Reference
Product
Data Warehousing
Data Warehousing
Cornerstar, Inc.
Portland, United States
B
1-10 Employees
1998
Key takeaway
CornerStar enhances data value through user-friendly reporting tools and dashboards, providing decision-makers with real-time access to detailed reports. Their Data Marts empower users with dynamic reporting features, ensuring robust data integrity.
Reference
Product
Data Warehouse
Data Warehouse Consultants LLC
Pittsburgh, United States
B
1-10 Employees
2004
Key takeaway
Data Warehouse Consultants is a technology-based company with extensive experience in developing software and providing technical solutions. Their focus on custom software development and process improvement highlights their commitment to addressing clients' business challenges effectively.
Reference
Product
Solutions - Data Warehouse Consultants
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DATANOMIQ
Berlin, Germany
A
1-10 Employees
2015
Key takeaway
The company, DATANOMIQ, is a leading provider of consulting and services that comprehensively understands and offers Data Analytics, including Data Warehousing.
Reference
Service
Data Warehousing - DATANOMIQ
Data Warehousing by DATANOMIQ -
Hudson Data LLC
City of Geneva, United States
B
11-50 Employees
2004
Key takeaway
Hudson Data LLC specializes in providing technology solutions that can enhance business strategies and create sustainable value. Their expertise in data collection and analysis directly supports clients in distinguishing themselves in competitive markets.
Reference
Service
Data Warehousing : Hudsondatallc
Redland Information Systems
Chesterfield, United Kingdom
A
1-10 Employees
2011
Key takeaway
Redland Information Systems specializes in data warehousing and offers fully managed business intelligence solutions. Their team of certified consultants and partnerships with industry leaders enable them to develop comprehensive client solutions in data management and analytics.
Reference
Service
Data Warehousing
Pivotal BI
London, United Kingdom
A
1-10 Employees
2000
Key takeaway
Pivotal BI specializes in data warehousing, offering services that transform enterprise data into a modern, unified data warehouse optimized for analytics and reporting. Their expertise in planning, developing, and delivering analytical architecture ensures that clients can effectively integrate and govern their data, ultimately delivering business value through enhanced insights.
Reference
Service
Data Warehousing (Integration, Governance and Insight) - Pivotal BI
Transform data from across your enterprise into a modern data warehouse and benefit from unfied data that's optimised for analytics and reporting.
CRMT
Ljubljana, Slovenia
A
11-50 Employees
2004
Key takeaway
Telekom Slovenije successfully implemented a data warehousing solution with the help of CRMT experts, allowing for the initial loading of one billion records within a week. This integration with their big data environment and applications like Tableau, Python, and R significantly enhanced their data processing and analytics capabilities.
Reference
Product
Data Warehouse - crmt.com
A robust data warehouse is a core component of Business Intelligence
WinterCorp
Dracut, United States
B
11-50 Employees
1992
Key takeaway
WinterCorp specializes in scalable data management, offering expertise in data warehousing and data lakes across various environments, including cloud and hybrid setups. Their services highlight the importance of selecting the right data warehouse platform to optimize costs and support advanced analytics.
Reference
Core business
WinterCorp, The Experts in Scalable Data Management
Data Warehouse & Data Lake - Cloud - Hybrid - OnPrem - Streaming Data - IoT - Time Series - AI/ML At Scale
Saxon AI
Irving, United States
B
101-250 Employees
2004
Key takeaway
Saxon is a data and analytics company that specializes in modernizing data warehouses through their proven migration methodology and tools. They support organizations in their digital transformation journey, helping them become more insights-driven and solve business challenges effectively.
Reference
Service
Data Warehouse Service Providers | Saxon AI
Modernize your Data Warehouse Service with confidence using Saxon-proven migration methodology, migration tools, and partner solutions.
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A selection of suitable products and services provided by verified companies according to your search.
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Google BigQuery
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Use case
Google BigQuery
All
You are dealing with a lot of data from different systems. You feel you are not using the data properly to gain insight in your business and take the best decision. Bring your data to Bigquery and use this centralized system to learn from all the data. You will be surprise how data driven decision will impact the growth of your business.
Use case
Google BigQuery
All
You are dealing with a lot of data from different systems. You feel you are not using the data properly to gain insight in your business and take the best decision. Bring your data to Bigquery and use this centralized system to learn from all the data. You will be surprise how data driven decision will impact the growth of your business.
Data warehousing refers to a centralized repository that allows organizations to store, manage, and analyze large volumes of data from various sources. It enables the integration of data from different databases and systems, facilitating comprehensive reporting and analysis. By structuring data in a way that supports efficient querying and data retrieval, data warehousing helps businesses make informed decisions based on historical and current trends. This process often involves the use of Extract, Transform, Load (ETL) tools to cleanse and organize the data for optimal use in analytics and business intelligence applications.
Data warehousing significantly enhances business decision-making by consolidating data from various sources into a single repository. This centralized storage allows for comprehensive data analysis, enabling businesses to identify trends and patterns that inform strategic planning. By utilizing advanced analytics tools, organizations can generate insightful reports and dashboards that facilitate quick access to critical data. Moreover, data warehousing supports historical data analysis, which is essential for forecasting and understanding past performance. This capability ensures that decision-makers have access to accurate and timely information, resulting in more informed choices that drive business growth and efficiency. The integration of data from different departments fosters a unified view of operations, ultimately leading to improved collaboration and better decision-making across the organization.
A Data Warehousing system consists of several integral components that work together to facilitate data storage, retrieval, and analysis.
1. Data Sources
These are the various systems and databases from which data is extracted. They can include operational databases, external data feeds, and other data repositories.
2. ETL Process
The Extract, Transform, Load (ETL) process is crucial for data integration. It involves extracting data from different sources, transforming it into a suitable format, and loading it into the data warehouse.
3. Data Storage
This component involves the actual storage of data, which can be structured, semi-structured, or unstructured. It typically includes a database management system designed for large-scale data storage.
4. Metadata
Metadata provides context and information about the data, including its source, format, and structure. It plays a vital role in data management and retrieval.
5. Query and Analysis Tools
These tools allow users to access and analyze the data stored within the warehouse. They can include reporting tools, data mining software, and business intelligence applications.
6. Data Governance
Data governance ensures data quality, compliance, and security within the data warehousing environment. This component is essential for maintaining the integrity and reliability of the data.
Each of these components is essential for the effective functioning of a data warehousing system, enabling organizations to make data-driven decisions.
Data Warehousing solutions implement a variety of strategies to ensure data security throughout the storage and processing lifecycle. They utilize encryption to protect sensitive information both at rest and in transit. This means that data is encoded and can only be accessed by authorized users with the appropriate decryption keys. Additionally, robust access controls are enforced to restrict who can view or manipulate data. Role-based access control (RBAC) and user authentication mechanisms help in ensuring that only designated personnel have access to specific data sets. Regular audits and compliance checks are also implemented, allowing organizations to track data access and modifications, thereby enhancing overall security posture.
1. Scalability
Cloud-based Data Warehousing solutions offer remarkable scalability, allowing organizations to easily adjust their storage and processing power based on demand. This flexibility helps businesses efficiently manage costs while accommodating data growth.
2. Cost Efficiency
Utilizing cloud infrastructure often reduces the total cost of ownership. Organizations can avoid hefty upfront investments in physical hardware and instead pay for the resources they use, leading to more predictable budgeting.
3. Accessibility
Cloud-based systems provide remote access to data from anywhere, enabling teams to collaborate effectively regardless of their location. This accessibility enhances productivity and supports a distributed workforce.
4. Maintenance and Management
With cloud providers managing hardware and software updates, businesses can focus on data analysis rather than maintenance tasks. This outsourcing of IT responsibilities ensures that users benefit from the latest technologies without the burden of upkeep.
5. Enhanced Security
Leading cloud Data Warehousing providers invest heavily in security measures and compliance standards. This dedication to data protection often surpasses what many organizations can achieve on their own.
Some interesting numbers and facts about your company results for Data Warehousing
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 6827 |
| Amount of suitable service providers | 7721 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 1992 |
| Youngest suiting company | 2019 |
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Some interesting questions that has been asked about the results you have just received for Data Warehousing
What are related technologies to Data Warehousing?
Based on our calculations related technologies to Data Warehousing are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Data Warehousing?
The most represented industries which are working in Data Warehousing are IT, Software and Services, Other, Logistics, Supply Chain and Transportation, Consulting, Human Resources
How does ensun find these Data Warehousing Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
