Join us for this exclusive webinar "Deliver high quality data for AI-assisted decision making" to hear the benefits on how Validata ConnectIQ can help you unlock value and insights from your data to drive customer engagement and achieve greater customer lifetime value.
Date: February 16th, 2021
Time: 16:00 pm CET
Intended audience: Testers, Developers, DBAs, IT, Business Analysts
Register here
As data and analytics teams become critical to supporting more diverse and complex business processes, many are challenged with scaling the work they do in delivering data to support a range of data consumers and use cases. The need to deliver quality releases faster with resiliency in the face of constant change, is driving data and analytics leaders to rethink how they work.
Customer experience is the new number one use case for analytics that traditional waterfall approaches cannot address.
AI is expected to increase business productivity by at least 40% but businesses struggle to deploy or fully unlock AI solutions due to data-related issues.
ConnectIQ is a cloud-native DataOps and AI platform, able to deliver the data required for AI and analytics. It features a Product Recommendation Engine that leverages AI and machine learning models to produce suggestions for customers’ future purchases and product recommendations.
It recommends what is the ‘next best product’ for a customer using customer characteristics, seasonality information and historical trends to provide real-time insights and the ‘single version of the truth’ of your customer data, preferences and suggestions.
With secure, multi-tenant data sharing capabilities, it automatically masks and shares data to downstream environments for AI and Analytics. Data can be shared and reused across different models and pipelines. Developers can branch data alongside code branches, while testers can bookmark and share data with developers to resolve issues faster.
Time: 16:00 pm CET
Intended audience: Testers, Developers, DBAs, IT, Business Analysts
Register here
As data and analytics teams become critical to supporting more diverse and complex business processes, many are challenged with scaling the work they do in delivering data to support a range of data consumers and use cases. The need to deliver quality releases faster with resiliency in the face of constant change, is driving data and analytics leaders to rethink how they work.
Customer experience is the new number one use case for analytics that traditional waterfall approaches cannot address.
AI is expected to increase business productivity by at least 40% but businesses struggle to deploy or fully unlock AI solutions due to data-related issues.
ConnectIQ is a cloud-native DataOps and AI platform, able to deliver the data required for AI and analytics. It features a Product Recommendation Engine that leverages AI and machine learning models to produce suggestions for customers’ future purchases and product recommendations.
It recommends what is the ‘next best product’ for a customer using customer characteristics, seasonality information and historical trends to provide real-time insights and the ‘single version of the truth’ of your customer data, preferences and suggestions.
With secure, multi-tenant data sharing capabilities, it automatically masks and shares data to downstream environments for AI and Analytics. Data can be shared and reused across different models and pipelines. Developers can branch data alongside code branches, while testers can bookmark and share data with developers to resolve issues faster.