WHY OUR REVOLUTIONARY ENTERPRISE DATA WAREHOUSE BUILDER
In the modern era of big data and advanced analytics, the importance of storing and effectively
leveraging an enterprise’s information has grown exponentially. We help organizations maintain
competitive advantage by centralizing the entirety of the business’s data and in turn facilitate
swift analytics and data-inspired insights for all business users.
Modern systems making use of big data or other database engines require a central data
warehouse within their ecosystem. The beauty of Datapult is that it provides this central source
of truth, all while producing significant time and cost savings.
Datapult is all about changing the way the organization perceives data-warehousing, we use
best practices to build a trustworthy, dynamic data warehouse in record time. For those
enterprises seeking to exploit the big data available to them, Datapult is the ideal solution to
place at the heart of the company’s business intelligence infrastructure.
THE PROBLEM WE ENCOUNTERED
An effective data warehouse serves as the foundation from which to build meaningful business
and analytical intelligence. However, despite the clear need for such an environment, many
businesses find the idea of a data warehousing project too large to contemplate. Instead, they
find themselves crafting their analytical solutions from spreadsheets and query tools. Traditional
data warehouse environments remain fraught with problems, such as budgetary and time
Regardless of these challenges, the concept of the data warehouse has never been more
necessary, it is more crucial than ever to be able to integrate data from multiple sources that
support analytical reporting and data analysis, and to build meaningful business and analytical
HOW WE SOLVED IT
Analytic querying is the secret to the modern data warehouse and we therefore used best
practice to build a data warehouse that transforms data optimized for a heavy transactional
This solution is a revolutionary enterprise data warehouse builder that significantly improves
time-to-market by removing all custom programming, SQL coding and ETL package writing. Not
only that, but thanks to an innovative, programmatical approach, it is able to leverage the meta
data of the underlying source information and build a state-of-the-art denormalized data
warehouse in days, instead of months.