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Ngdata Intelligent Engagement Platform

"NGDATA's Intelligent Engagement Platform builds sophisticated customer data profiles to create personalized customer experiences with in-built real-time interaction management"

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Ngdata Intelligent Engagement Platform

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Ngdata Intelligent Engagement Platform Overview

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Company Name: Ngdata Intelligent Engagement Platform

Website: Ngdata Intelligent Engagement Platform

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NGDATA lets you better engage with your customers. Our Intelligent Engagement Platform (IEP) builds sophisticated customer data profiles (Customer DNATM) and drives truly personalized customer experiences through real-time interaction management. With capabilities beyond a standard Customer Data Platform, NGDATA boosts commercial success for all clients by increasing customer lifetime value, reducing churn, and lowering cost per conversion. 
 NGDATA’s IEP has in-built analytics, AI-powered capabilities, and decision-making formulas. This unique combination identifies opportunities and proactively and accurately automates individual customer engagements at scale, via the most relevant channel. All this is underpinned with Customer DNATM creating rich, multi-attribute profiles, including device data, enabling businesses to develop a deeper understanding of their customers. And the intuitive user interface makes it easy for business users to utilize the platform while IT and analytics retain oversight and control.
 NGDATA makes big data small and beautiful and is dedicated to facilitating economic gains for all clients. A strong emphasis on engagement-based tracking and reporting, coupled with a range of scalable out-of-the-box solutions gives immediate and rewarding results.
 Founded in 2012, NGDATA has offices in the USA, UK, Europe, Asia-Pacific, and is headquartered in Ghent, Belgium.

Ngdata Intelligent Engagement Platform FAQ

Does NGDATA Intelligent Engagement Platform offer guides, tutorials and or customer support?

NGDATA offers two types of support packages to its clients: standard support (8 AM to 6 PM, from Monday to Friday) and a full one (24/7) on incident management. Besides that, NGDATA’s service desk handles information requests, service requests and suggestions.
Besides the classic support model, managed services can also be offered to our clients. The focus of NGDATA’s managed services is on the availability and performance of the software and the operational management of the software environment (cloud or on-premises).

Who are the main user groups of NGDATA Intelligent Engagement Platform?

NGDATAs Intelligent Engagement Platform support the needs of 2 user types. Firstly, the user interface has been developed for the business user empowering him to create, launch, and see uptake for offers in real-time. No coding required nor data science needed!
Secondly, data focused roles like data scientists are enabled to extract data - through the UI - from the platform to their BI tools for creating models right away, instead of collecting data from different sources, merging and checking the quality before doing the actual modelling.

What is NGDATA Intelligent Engagement Platform generally used for?

Provide a Unified Customer View: provide a holistic, contextualized Customer DNA in real-time, improving campaign efficiency with on-the-fly audience segmentation tuned to real-time shifts in customer behavior, interactions, preferences, and propensities. This enables marketers to deliver the right offers to the right people, at the right time. Use Journey Stages to Curate Experiences Driven by Real-Time Interactions & Behavior: map unique experiences to stages in the customer journey so you can onboard, upsell, and cross-sell smarter with meaningful, context-aware 1:1 interactions. Personalization Across all Your Integrated Channels: increase campaign conversions & profitability by delivering the most engaging personalized message with every experience and over customers’ preferred channels. Self-Service Analytics and Machine Learning: include capabilities such as audience clustering and lookalike modeling to discover, analyse and predict emerging opportunities from customer data. This enables marketers to deliver more relevant customer experiences.
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