List the difficulties in implementing a data warehouse.

A data warehouse is a large store of data collected from a wide range of sources within a company and used to guide management decisions. It separates analytics workload from transaction workload and allows an organization to consolidate data from several sources. Therefore, the acknowledgement of its definition is the first step.

Here are the common difficulties often encountered during data warehouse implementation: 1. Data sourcing: Identifying what data is needed and where it can be sourced from is often a challenge.2. Data transformation: The process of converting data from the source format to the data warehouse format can be complex and time-consuming.3. High implementation costs: Large hardware and software investments, and the need for expert personnel, can lead to high costs.4. Ensuring data security: Data warehouses often store sensitive company data, making security a vital concern.5. Data quality: Ensuring the data is accurate, up-to-date, and useful can be challenging.6. Handling large volumes of data: Data warehouses typically store large amounts of data, which can be difficult to manage effectively.7. Keeping up with technological advancements: As technology evolves, maintaining and updating the data warehouse can be a challenge.8. Cross-functional cooperation: Implementing a data warehouse often requires cooperation across multiple departments, which can be difficult to achieve.

In summary, planning, maintenance and a deep understanding of business and technical requirements are crucial to successfully implement a data warehouse. However, overcoming these challenges can result in a data warehouse that provides valuable insights and supports decision-making within an organization.