Stratifyd Launches Next Generation Data Analytics Platform
Delivers on Stratifyd’s vision of bringing the power of data science to business users.
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Stratifyd, a technology company that democratizes data science and artificial intelligence (AI) through self-service data analytics, has released its next-generation platform. This powerful analytics engine was redesigned from the ground up to be intuitive and easy-to-use, enabling business users—regardless of education, skill, or job function—to harness the power of proprietary and third-party data to easily reveal and understand hidden stories within the data, thus delivering the benefits of a data science team to every organization.
The Stratifyd platform now provides the functionality to meet the demanding data science needs of an organization, but it 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, prebuilt 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, roll out new product and service offerings that deliver a competitive advantage, and more.
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.
Use Cases Highlight How Data Frames the Narrative
“Data is at the forefront of every decision a business makes and frames the narrative,” says Derek Wang, founder and CEO of Stratifyd. “To better understand the stories hidden in data, it needs to be viewed from the lens of the business user as they are the storytellers that can consider the data in the appropriate context.”
If customers signal their unhappiness with a product or service through reviews or on social media, a business user can analyze the data to pinpoint the problem, making it easier to fix. Conversely, if customer churn rate has decreased, data can be used to connect the dots to see the bigger picture and the insights leveraged to replicate the successful outcome in other areas of the business.
A financial services company may lean heavily on call center conversations, customer surveys, operational data, and complaints to help them identify pain points and improve the end-user experience. Auto manufacturers might look to social media, external user forums, and blog posts to help them understand issues related to the quality of their vehicles and overall perception of their brand. In both of these scenarios, the business user has the context with which to analyze the data and drive the necessary action.
By enabling “citizen data scientists” to gather and analyze structured and unstructured data from more than 100 sources, these business users can leverage their expertise to see patterns and anomalies within context to derive a holistic narrative of customer feedback.
Data Storytelling Flywheel Puts the Power of Data Science into the Hands of Business Users
The Stratifyd data analytics platform is the only truly end-to-end solution in the market helping organizations analyze and extract insights from omnichannel data. Its data storytelling flywheel includes everything that business users need to easily connect data, analyze data, discover insights, identify stories, and continually listen to empower data-driven decisions as stories unfold:
- First-time users can 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.
- The platform includes 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 analyze data and determine the best customized model(s) based on the data available; 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.
Additional information on the all-new next-generation Stratifyd data analytics platform is available online.