Data Challenges in Self-Service BI
Organizations today face a data glut—but the ability to turn that data into insights continues to be stuck behind technical barriers. Business experts are skilled at using spreadsheets and charts to perform business analytics, but these tools are limited in scale, they can’t plumb the full depths of an organization’s data, and they create a hole in a company’s security architecture. The Business Intelligence (BI) tools able to handle big-data queries, semi-structured data, and other sophisticated analytics capabilities demand high degrees of coding skills.
Current BI solutions need a skilled developer to set up and maintain the system. Business experts only have access to a small part of the data within the BI tool, confined to graphs and tables focused on answering questions the system architect thinks they may have. Additional questions that need more data can take months to be answered, if they are answered at all.
What business experts lack are self-service tools they can use to explore all the data in their organization’s data warehouse—easily and quickly—to achieve the BI insights they need to propel their businesses forward.
How Sigma Helps Self-Service BI
Combining the familiarity and flexibility of spreadsheets with the power of cloud data warehouses, Sigma leverages business experts’ domain expertise, empowering them to answer any question themselves—and to follow queries wherever they might lead. Sigma also promotes governance best practices: everything happens within the cloud warehouse and within the purview of the data team. Business analysis is no longer hidden in spreadsheet files on individual computers. All analysis is done with live data, in a centralized tool, so data can be tracked and analysis can be shared.
At the same time, self-service BI by business experts makes life easier for the organization’s data scientists. The data scientists spend less time compiling reports for the business experts, freeing them to work on the higher-level strategic projects that only they can pursue.
Sigma eliminates the barriers separating business experts from their data while enhancing their ability to work with this data. In an industry first, Sigma enables self-service BI for business experts who lack advanced SQL, coding skills, or proprietary BI backend interface experience. This self-service approach also generates ‘compound interest’: Business experts can build on collective knowledge and collaborate within and across their teams—enabling everyone to make better and more data-informed decisions.
By leveraging the domain expertise of business experts, business can more efficiently and effectively use their ever expanding data to create business insights.