Ad-hoc reporting and self-service analytics
Tools for ad-hoc reporting and data analytics give employees the ability to access data and work with it independently, i. e. in "self-service". Ad-hoc reports are created to answer current questions. They differ from structured reports in many ways. Structured reports use a large amount of data and are often based on a formalized report template. Ad-hoc reports are created as needed, and the format may differ from standards. The focus here is on the rapid transfer of insights within the company.
Advantages of Ad-hoc reporting
Self-service analytics offers various advantages. On the one hand, it eases the burden of IT when employees can create reports on their own. At the same time, it makes employees more agile and independent. They can collect and evaluate data themselves as needed to answer specific business questions.
Ad-hoc reporting tools
Modern ad-hoc reporting tools can be easily operated by users and relevant data can be quickly analyzed. The results can be easily and attractively visualized and distributed throughout the organization. Central IT teams and data analysts are unburdened by one-off requests for data and reports.
The visualization of geo data in location-based reports, for example in the form of maps, helps to illustrate spatial relationships. Through the close integration of factual and geo data, better decisions can be made more quickly. With geo analytics, you can see at a click where business is taking place and customers are located. Customized mappings enable the creation of individual industry-, company- and department-specific reports.
To become data-driven, organizations need to ingrain data management and data analytics in its core processes. An underlaying data strategy, the right infrastructure and processes as well as a data-driven corporate culture are crucial for the success of your analytics initiatives. Only data-driven companies will be able to meet the challenges of ever more volatile markets. At the same time, individual departments must be able analyze data quickly, easily, and independently.
Data silos and data governance
When many employees work independently with data and add new data sources to reports, various problems for data quality arise. Intra-departmental data silos should be avoided, but self-service analytics tools can promote them. They also sabotage data governance initiatives. When ad hoc reports deviate from governance requirements, conflicting results and data inconsistencies appear.
We support your ad-hoc reporting and self-service analytics initiatives
Woodmark experts have developed different data governance processes to counteract data silos without restricting the business users.