Having addressed the adaptability and power of an analytics environment in my last two posts, I thought I'd close out this mini-series of blogs by providing the business and technology implications of three attributes that need to define any truly open and unified analytics environment:
- Business: The platform enables the use of one environment to support the entire analytics lifecycle, regardless of your choice of tools and techniques, thereby ensuring better collaboration and consistency of results.
- Technology: The platform allows for easier support thanks to a common underlying framework of technologies which allows disparate data to be processed within a single environment.
- Business: The platform provides the ability to try out different ideas without having to completely swap out to other tools, languages, interfaces, or physical processing environments.
- Technology: The platform allows IT to deploy analytical software capabilities quickly without having to secure new physical hardware resources in advance.
- Business: Can hinder business if the required governance prevents them from completing their work in a timely manner.
- Technology: Is an absolute necessity as it allows for management and mitigation of risks from a broad spectrum of security, access, origination, retention, lineage, relevance, and other nuanced characteristics often not seen.
I hope this mini-series of blog posts has helped you see the four main pillars you should look for in an analytics environment: Adaptive, powerful, unified and open. If your platform is built upon these four pillars, you'll be well on your way to success.