Self-Service BI, Data Visualization, and Big Data Analytics
Over the last five years, Intel IT has evolved its approach to BI solutions for Intel’s worldwide sales organization to enable rapid delivery of advanced self-service business intelligence (BI) and data visualization capabilities. By moving to a user-centered model and establishing stronger working partnerships with our sales groups, we can now deliver reports and dashboards to production in just two to four weeks—85 percent faster than in 2007.
Our self-service tools empower Intel sales groups to customize their reports, rapidly analyze information, make faster, better informed decisions, and respond quickly to business opportunities. In addition, by being self-service, these tools free IT staff to focus on developing more powerful analytics capabilities, instead of having to respond to routine report requests.
To develop these tools, we took a four-pronged approach.
• Establish a partnership framework for working closely with our sales groups to ensure optimal prioritization and management in aligning data delivery to business value.
• Adopt agile Scrum methodology for fast, iterative, and incremental software development for BI projects.
• Enable agile data architecture to streamline processes for making new data available, treating data as a product for self-service consumption.
• Implement more intuitive self-service BI using the software tools our users prefer, enabling them to get the best and fastest results.
Within the sales group, we are seeing year-over-year increases of 40 percent in utilization of our self-service BI solutions and reports. Our next steps include the addition of technologies for increasing the use of big data as part of our multiple BI data warehouse strategy and propagating the approach across all of Intel’s business areas. Incorporating big data will enable business users to mine a broader range of data faster and more cost effectively. In addition, we are working on ways to more quickly deliver rich, consistent, and secure user experiences across a variety of form factors, particularly mobile devices.
Read the full Self-Service BI, Data Visualization, and Big Data Analytics White Paper.