Business Intelligence (BI) Analytics is becoming more and more of a buzzword for good reason. The ability for applications and websites to track and pipe data into SQL and NoSQL databases has spread like wildfire in the last 5-10 years. The ease of setting up data collection has made storing and bringing in data easier than ever. This reality has given rise to a slew of visualization tools that promise a quick time to value for insights. These tools are great for doing one-off analyses, or making graphs/charts/reports for a single use because you can plug in your data sources directly in most cases. The problem arises when an organization wants to take steps to be truly data-driven and make data front-and-center in all levels of their business, for technical and non-technical line of business leaders and everyday employees. Giving data access to everyone in an organization is difficult to scale with these visualization tools because they do not support in database analytics, rather the reports are generated from cubed, rolled-up, or silo'd data. Successful companies no longer have the privilege of "going with your gut" on important business decisions, everything needs to be backed up with facts, the truth behind the data.
Looker's BI Analytics platform pays homage to the legacy BI solutions like MicroStrategy and Business Objects, but brings in modern web-based architecture and a revolutionarily fast time to value to make being truly data-driven a reality for companies without a huge spend.
The philosophy behind Looker's platform is to,
- Give the technical team the ability to define:
- Metrics, KPI's,
- Customer Lifetime Value
- Marketing attribution
- Sales Funnel, etc.
- A data-dictionary with agreed upon attributes for core business logic like engagement, or account health.
- Once the logic has been defined, unleash the non-technical business users to:
- Create their own reports/queries
- Schedule Dashboards via email
- Drill down to row level detail
- All without having to write a single line of code
Once the technical team has dedicated time to the model, all the logic is re-usable again and again for business users to slice and dice data from every angle. Even when your database schema changes, an analyst can easily go into the modeling layer and make changes to the model. When the technical team dedicates time to the model the entire organization benefits. Check out the quick video to learn more!