White label BI & Analytics
While adapting embedded analytics, white-labeling is a top requirement for application providers—including original equipment manufacturers (OEMs), independent software vendors (ISVs), and software as a service (SaaS) providers—who are very particular about ensuring that the look and feel of their analytics module blends with their company's branding.
The relevance of White-labeling in BI & Analytics
- Icon How does white-labeling come into play in BI & analytics? By ensuring that reports and dashboards look like the rest of the application. This is possible by facilitating developers to match the application's fonts, colors and branded design themes, with the analytics module.
- IconGood white-labelling can increase user adoption by ensuring brand consistency and a seamless user experience. It also enables businesses to flex their analytics capabilities without necessarily admitting to third-party collaboration.
- IconCompanies at many different growth phases can utilize white label analytics. Startups can leverage it as a competency that drives rapid growth at significantly lower costs. Larger organizations, especially legacy heavyweights, can use it to share actionable insights within their company and present relevant data—say, annual performance—with stakeholders to whom they are accountable, like boards of directors, investors, and shareholders, all through the prism of their own branding.