Stratifyd's AI-powered Data Analytics Platform
Stratifyd Signals™ is an AI-powered, next-gen Data Analytics platform. Today we are excited to announce major functionality additions:
User-Centric Visual Analytics
Intuitive User Interface
The User Interface (UI) is redesigned for a more streamlined analytics approach, with a customized dashboard within your business context: Sales, Marketing, HR, and Voice of Customer. Users can start the system with their functional domains to enjoy pre-populated contextual templates created by our experts. Users can pivot on any data dimension, and have infinite tabs to explore multiple aspects of their datasets.
Insights Across All Data
Stratifyd Signals’ Built-In Data Connectors
We simplified the way data connectors operate, and added additional data connectors to Foresee, Google Analytics, User Voice, Survey Monkey, and several other popular websites, providing 30 standard data connectors in total. We continue to give users flexibility to mix and match data from different sources for comparative analysis — one of our most popular features. Signals provides insights across all data: structured data, semi-structured data, and unstructured data.
Stratifyd Signals Dashboard
Signals enhanced the dashboard to tell better the story. Users can now insert webpages, images, and annotations to each dashboard, even down to the widget level. We have also made it more convenient for sharing dashboards with colleagues. There are now even more customizations to the tabs and dashboard. Users can select different color schemes and fonts, down to the variable/category level.
Faster Than Ever
Turning data into action is now performed in just four steps:
Run your data through the Signals AI engine
Visualize your Analytics Results within Dashboards
Discover Insights within your Business Context
Collaborate with your Colleagues
We significantly reduced the number of clicks for one to build a dashboard, without sacrificing the insights and customization. The method to create a widget has been streamlined, and the user can now launch the platform with custom dimensions you want to analyze, and a specific visual outcome.