Data Warehousing
Data Warehousing
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Top Data Warehousing Companies

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924 companies for Data Warehousing

2150 Datavault Builder AG's Logo

Zurich, Switzerland

11-50 Employees

2010

Datavault Builder leverages standardization and cooperation between business and IT people as the key to success. Increase productivity and benefit from the fastest possible time-to-insights.

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Core business
Image for Datavault Builder | Agile Data Warehousing | Model Driven

Datavault Builder | Agile Data Warehousing | Model Driven

... Datavault Builder | Agile Data Warehousing | Model Driven | Replacing up to nine tools | Simple ...

PurpleBodhi Technology and Consulting's Logo

Mumbai, India

1-10 Employees

2021

Product engineering, data warehousing, analytics and reporting for Banks, NBFCs and Microfinance Institutions.

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Product
Image for Solutions for Data Warehousing and Analytics| PurpleBodhi Technology and Consulting

Solutions for Data Warehousing and Analytics| PurpleBodhi Technology and Consulting

... PurpleBodhi Technology understands the problems faced by financial services organizations in doing analytics, and can solve them with software solutions for data warehousing, data modelling, data ...

DataVisual Ltd's Logo

Epping Forest, United Kingdom

1-10 Employees

Our certified Cognos experts have years of experience in building business intelligence solutions and can provide you with the right solution for your reporting needs. Key to any Business Intelligence solution is a Data Warehouse. Our certified Cognos experts are fully equipped with the experience and knowledge to model data warehouse schemas and build complete reporting solutions. Our experts can build dashboard views that can be authored once and accessed anywhere through the secure Cognos portal and provide decision makers with the information they require. We not only have the expertise in designing and installing Cognos solutions but also the ability to customise implementations to suit your organisations branding. We can provide the knowledge and expertise on extending your BI content to help users see information in different ways and gain new insights. IBM Cognos BI is a feature rich web based reporting and analytics tool, allowing organisations to turn data into meaningful information so users can make smarter decisions that drive better business results. As the industry leader in Operational Database Management Systems, Microsoft SQL Server provides a secure and robust data platform enabling you to run demanding mission critical applications.

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Featured

Core business
Image for DataVisual | Cognos | Business Intelligence | Data Warehousing

DataVisual | Cognos | Business Intelligence | Data Warehousing

... DataVisual | Cognos | Business Intelligence | Data Warehousing ...

Optymyze's Logo

San Jose, Philippines

1-10 Employees

2013

Optymyze provides a unified, no-code enterprise platform as a service for data, analytic, planning, and business process automation. We like people who are passionate about replacing legacy thinking and processes.

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Product
Image for No-code cloud data warehousing and processing

No-code cloud data warehousing and processing

... Optymyze automates the virtual enterprise with no-code cloud data warehousing and processing. ...

Data Warehousing & Business Intelligence Summit's Logo

Amsterdam, Netherlands

Dit is de elfde editie van de Data Warehousing & Business Intelligence Summit.

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Featured

Core business
Image for Data Warehousing & BI Summit - Mike Ferguson - Rick van der Lans - Alec Sharp Data Warehousing & Business Intelligence Summit

Data Warehousing & BI Summit - Mike Ferguson - Rick van der Lans - Alec Sharp Data Warehousing & Business Intelligence Summit

... Conference on Data Warehousing & BI with top rated speakers Alec Sharp, Mike Ferguson, Thomas Frisendal and Rick van der Lans. Topics: Data mesh, Data Governance, Analytics & Data Science, Data ...

Byteware Inc's Logo

Suwanee, United States

51-100 Employees

1998

Byteware Inc is a software development and IT Solution and Services firm with office in Georgia. Since the company’s inception in 1998, Byteware Inc has maintained steady growth by providing leading edge technology and services. The cultural environment at Byteware Inc is dedicated to achieving the highest standards in our industry. To provide high quality IT solutions and services to support your goals and objectives. Byteware Inc is a leading provider of Information Technology services.

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Service
Image for Data Warehousing and Analytics

Data Warehousing and Analytics

... Data Warehousing and Analytics – Byteware ...

Intuitive Thinking Ltd's Logo

Luxembourg

1-10 Employees

2016

Intuitive Thinking Ltd offers Business Intelligence products & services for the Banking Sector. Covering Data Warehousing, OLAP Cubes and Data Visualization as well as additional offerings relating to Data Intelligence resources. Established in 2016 and operating primarily within Private Banking. Reports & dashboards will be built to order, using either SSRS or Power BI, both of which are accessed through a web application which controls the user access as needed. Visualizations offer more than just a fancy front for the data, it provides a means for judging the performance of key business areas at a glance and can be enriched in many ways, such as, colour coded Year on Year variance or budget comparison and annualized PL/AUM earnings %. The reports here are built with Ms Power BI which offers greater interactivity, performance, and a fantastic portal for users to manage and share their reports including the ability to create their own dashboards in moments using visuals from developed reports, or even natural language querying in which a visual can be create by a business user using plain English. OLAP cubes provide a more flexible tool that empowers Business Users with access the data in a way that is simply not achievable through generic or even tailor-made reports. This is a great self-service tool that complements reports and dashboards and fills in some of the gaps that may be left.

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Featured

Core business
Image for Intuitive Thinking Ltd | Business Intelligence for Banking

Intuitive Thinking Ltd | Business Intelligence for Banking

... Covering Data Warehousing, Data Visualization, OLAP Cubes, Master Data & Data Intelligence ...

Simpson Associates's Logo

York, United Kingdom

11-50 Employees

1991

Our mission is to help purpose-led organisations harness data as a lever for change and enable them to realise business value more quickly. We are also a Databricks partner and an IBM Gold Partner, specialising in Cognos Analytics and Planning Analytics (TM1).tted to helping organisations achieve their business goals. Simpson Associates is a Data Analytics consultancy and managed services provider that helps organisations from both the public and private sectors gain valuable insights from their data and make better informed decisions. Our sharp focus on the needs and values of our customers has allowed us to build long term partnerships that challenge the status quo of traditional business relationships. We invest heavily in the training and development of a highly skilled and committed team who consistently strive for quality. Royal British Legion needed a long-term sustainable solution to its IT delivery to ensure that its services can always be accessed and is reliable to those that depend on them. Whether you prefer to read, watch or listen, our resources page provides a hub of information regarding Business Analytics and Planning.

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Service
Image for Data Warehousing

Data Warehousing

... Simpson Associates, Data Warehousing Consulting, empowers Media and Publishing organisations to manage data better. ...

Data Management's Logo

Stoneville, United States

11-50 Employees

1966

Use our marketing database, and we can clean, validate, deduplicate and segment your donor data. When you’re ready to launch your next direct-mail campaign, rest assured that your segments and the records in them are ready to go. Ready for a database you can rely on for your direct-mail and digital fundraising operations? Let us manage a consolidated database of record using your preferences so that you can focus on running your organization with confidence in the accuracy and quality of your house file. Struggling to get the reports your team needs? We can work with you to analyze your data, build any reports or visualizations your team needs, develop a strategy for improving fundraising KPIs, and monitor your organization’s progress toward key goals. Dive deep into your digital and direct mail campaigns.

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Featured

Product
Image for Data Warehousing

Data Warehousing

... DMI - Data Warehousing ...

BiTech Group's Logo

Sydney, Australia

11-50 Employees

2005

We deliver reliable high-quality data driven innovative digital intelligence enterprise solutions, providing automated processing and creating full value from data with actionable insights to improve business performance and new business models for a long-term, sustainable competitive advantage. BiTech Group can streamline your analytics process to help you discover efficiencies within your business and derive meaning from your data — and improve business results. We provide access to a pre-selected pool of BI experts when you need them most. BiTech Group is the easiest solution for getting prompt consulting. From financial planning to sales and marketing, BiTech Group helps businesses make end-to-end decisions with confidence.

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Service
Image for Data Warehousing

Data Warehousing

... BiTech Group Pty Ltd - Data Warehousing ...


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Facts about those Data Warehousing Results

Some interesting numbers and facts about the results you have just received for Data Warehousing

Country with most fitting companiesUnited States
Amount of fitting manufacturers638
Amount of suitable service providers736
Average amount of employees11-50
Oldest suiting company1966
Youngest suiting company2021

Geographic distribution of results





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Things to know about Data Warehousing

What is Data Warehousing?

Data warehousing refers to the electronic storage of a vast amount of information by a business, organization, or entity, in a manner that is secure, reliable, and easy to retrieve. This process involves the consolidation of data from multiple sources into a central repository to support decision-making, reporting, and data analysis activities. Unlike regular databases, which are optimized for transactional processing, data warehouses are designed to aggregate and organize data in a form that is conducive to analysis. This is achieved through a process known as Extract, Transform, and Load (ETL), where data is extracted from its original sources, transformed into a format suitable for analysis, and loaded into the warehouse. The significance of data warehousing lies in its ability to provide a unified and consistent data source that can support business intelligence (BI) activities, such as trend analysis, forecasting, and historical data comparison. By enabling the efficient analysis of vast quantities of diverse data, data warehousing plays a pivotal role in optimizing strategic business decisions and enhancing operational efficiency across various industries. Its impact is particularly notable in sectors where data-driven decision-making is critical, such as finance, healthcare, and e-commerce, where insights derived from data warehouses can lead to improved customer experiences, product development, and competitive advantage.


Advantages of Data Warehousing

1. Centralized Data Management
Data warehousing consolidates data from multiple sources into a single, centralized repository. This integration simplifies data management, enhances data consistency, and facilitates comprehensive analytics by providing a unified view of the organization’s data landscape.

2. Enhanced Decision-Making
By aggregating diverse data sets, data warehouses offer rich insights that support strategic decision-making. Organizations can analyze historical and current data to identify trends, forecast future events, and make informed decisions that drive business growth and efficiency.

3. Improved Data Quality and Consistency
Data warehousing employs rigorous processes for cleaning, transforming, and integrating data from various sources. This ensures that the data is accurate, reliable, and consistent across the organization, thereby reducing errors and enhancing the quality of insights derived from the data.

4. Optimized Performance
Data warehouses are designed to handle complex queries and large volumes of data efficiently. This optimization reduces the load on operational systems and ensures that analytical processes do not interfere with transactional operations, leading to faster query performance and more timely access to information.


How to select right Data Warehousing supplier?

While evaluating the different suppliers make sure to check the following criteria:

1. Scalability and Performance
Ensure the supplier offers a data warehousing solution that can scale efficiently as your data grows, without compromising on performance.

2. Security Measures
Verify the supplier has robust security protocols in place to protect your data from unauthorized access and potential breaches.

3. Integration Capabilities
Check if the supplier's solution can seamlessly integrate with your existing systems and data sources, facilitating a smooth data flow.

4. Cost Efficiency
Consider the total cost of ownership, including initial setup, maintenance, and potential scalability costs, to ensure it aligns with your budget.

5. Technical Support and Service Level Agreements (SLAs)
Review the supplier's support structure and SLAs to ensure you receive timely assistance and maintenance services.

6. Compliance and Data Governance
Confirm the supplier adheres to industry standards and regulations, ensuring your data warehousing practices comply with legal requirements.


What are common B2B Use-Cases for Data Warehousing?

Data warehousing plays a pivotal role in business intelligence (BI) by providing a centralized repository for data collected from various sources. This enables companies to conduct comprehensive analyses to inform strategic decisions. In the retail industry, data warehousing is utilized to track and analyze customer behavior, purchase patterns, and inventory levels, helping retailers optimize their stock and tailor marketing strategies to consumer preferences. In the financial sector, data warehousing is essential for risk management. Financial institutions leverage it to aggregate transactional data, monitor and analyze risks, and comply with regulatory requirements. This use case underscores the importance of data warehousing in identifying potential risks and ensuring financial stability. The healthcare industry benefits from data warehousing by improving patient care through the analysis of treatment outcomes, patient demographics, and clinical data. Hospitals and healthcare providers use this data to identify best practices, improve patient outcomes, and streamline operations, showcasing the sector's reliance on data warehousing for operational excellence and enhanced patient care. Manufacturing companies employ data warehousing to enhance operational efficiency and product quality. By analyzing production processes, material usage, and supply chain data, manufacturers can identify inefficiencies, predict equipment failures, and optimize production schedules, demonstrating the critical role of data warehousing in manufacturing optimization and product lifecycle management.


Current Technology Readiness Level (TLR) of Data Warehousing

Data warehousing has achieved a high Technology Readiness Level (TRL), typically situated at TRL 9, indicating that the technology is fully mature and has been proven to work in operational environments. This maturity stems from years of evolution, starting from simple databases to complex, scalable, and highly efficient systems capable of handling vast amounts of data from diverse sources. The technical advancements contributing to this high TRL include sophisticated data integration techniques, advanced analytics capabilities, and the emergence of cloud-based data warehousing solutions that offer scalability, reliability, and cost-efficiency. Furthermore, improvements in data warehousing technologies, such as real-time data processing and the integration of machine learning algorithms for predictive analytics, have significantly enhanced their performance and utility in real-world applications. These technical milestones have been rigorously tested and validated across a multitude of industries, further solidifying data warehousing's status at the pinnacle of technology readiness. The adoption and successful operational deployment across sectors such as finance, healthcare, and e-commerce, where data warehousing is critical for decision-making and strategic planning, underscore its fully mature and operational state.


What is the Technology Forecast of Data Warehousing?

In the Short-Term, data warehousing is expected to evolve with the integration of real-time data processing capabilities. This advancement will enable businesses to make quicker, more informed decisions by accessing and analyzing data as it's generated. The adoption of machine learning algorithms for predictive analytics within data warehouses will also become more prevalent, allowing for the automation of data categorization and error detection, thus improving data quality and operational efficiency. Moving into the Mid-Term, the focus will shift towards increased scalability and flexibility in data warehousing technologies. Hybrid and multi-cloud data warehousing solutions will become the norm, offering businesses the ability to store and process data across various cloud environments. This period will also witness the rise of federated querying, enabling seamless access and analysis of data spread across different databases and storage systems without the need for data consolidation. In the Long-Term, the emergence of quantum computing is set to revolutionize data warehousing by drastically reducing the time required for data processing and analysis. Quantum-enhanced algorithms will enable the handling of complex data computations that are beyond the capability of classical computers, opening new frontiers in data analytics. Additionally, artificial intelligence will play a central role in automating data management processes, from data integration and cleansing to metadata management, further enhancing the efficiency and intelligence of data warehousing systems.


Frequently asked questions (FAQ) about Data Warehousing Companies

Some interesting questions that has been asked about the results you have just received for Data Warehousing

Based on our calculations related technologies to Data Warehousing are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

Start-Ups who are working in Data Warehousing are PurpleBodhi Technology and Consulting

The most represented industries which are working in Data Warehousing are Information Technology, Software, Professional Services, Data and Analytics, Internet Services

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.

Related categories of Data Warehousing