As any good craftsman knows, you need the right tools for the job. Ask people who assemble furniture with screwdrivers how much they are willing to pay for an electric drill. The same applies to working with data. Many companies today are diving into machine learning, advanced analytics, or other complex projects to maintain a competitive advantage. However, without a clear understanding of what data can do for an organization and how to store and use that data effectively, their efforts can do more harm than good without a strategic and deliberate approach to those efforts.

So which tool is right for companies looking to extract valuable insights from their data? Data warehousing can be implemented in three fundamentally different ways: on-premise, cloud, and hybrid. Each approach may share a common set of tasks, such as business requirements analysis and architecture design. Still, each has its scope, capabilities, associated costs, and business use cases, as well as trade-offs.

Indeed, data warehouses remain a key element of data and analytics platforms, providing a consistent view of corporate data. They act as catalysts in an organization's data management efforts and serve as building blocks for a company's business intelligence and decision-making.

Group Futurista is ecstatic to serve you the golden opportunity of joining "The Future of Data Warehousing for Business," a virtual summit with an innovative line of work, timelines, and outstanding industry leaders to provide a great opportunity to gain insight into historical data derived from transactional data in one place.