Stratifyd, a technology company that democratizes data science and artificial intelligence (AI) through self-service data analytics, is releasing its next generation platform, a powerful analytics engine that was re-designed from the ground up.
The Stratifyd platform now provides the functionality to meet the demanding data science needs of an organization, but is specifically designed to be easy to use for those with limited data analytics experience.
It empowers users of all skill levels to connect data sources to the platform, perform in depth analysis and data modeling, and discover insightful stories faster and more easily than previously possible.
Through a graphical user interface, pre-built and customizable data analytics models, and simplified dashboards, the platform enables business users to extract insights (i.e., stories) that are hidden in the data and essential in helping companies improve customer service, better understand customer requirements, deliver product enhancements that address gaps in the market, solve problems experienced by customers, rollout new product and service offerings that deliver a competitive advantage, and more.
“Stratifyd is a company with data science in our DNA. We were founded with a bold but simple mission to enable everyone within an organization to not only uncover but also understand the hidden stories within their data,” said Derek Wang, founder and CEO of Stratifyd. “This release of our next-gen platform is a giant leap in bringing to life our vision of putting the power of data science into the hands of business users.”
The platform was developed with the goal of helping employees from across an organization tackle real-world business challenges by analyzing and visualizing structured and unstructured data from a variety of sources, including third party and social media channels, to discern the most complete stories about a company and its products based on customer insights.
Features will allow users to take advantage of the Quick Start Guide to accelerate their time to insights. The guide leads them, step-by-step, through the process of connecting data, deploying analytical models, and visualizing insights as they build their first dashboard.
- A library of over 100 Data Connectors that make it easy to analyze structured and unstructured data – from public sources such as Amazon reviews, Google Play and iTunes Store app reviews, and social media channels, as well as internal company data such as call center conversations, customer survey results, and chat conversations – without the need for time-consuming, manual data cleaning.
- Auto-learning Models that analyze data and determine the best customized model(s) based on the data available; while advanced models enable data analysts to customize models based on use cases and specific data available.
- In addition to making it easy to share insights across teams and departments, the platform includes Task Management features that enable customers to identify key findings in their data which require action, capture tracking tasks, and assign them to a relevant team or individual who can then take the appropriate action and track progress through to completion.
For more information about this release, visit www.stratifyd.com.