Denodo, the leader in data virtualization, today announced that Forrester Research, Inc., a leading independent technology and market research company, has positioned Denodo as a Leader in “The Forrester Wave™: Enterprise Data Fabric, Q2 2020.” According to the report, “Customers like Denodo’s data virtualization product and the ability to quickly transition to data fabric in order to support enterprise-focused data fabric use cases.” The complete and complimentary report, published on June 10, is available here.
According to Forrester, organizations that need end-to-end data management solutions based on data catalogs and machine learning/artificial intelligence, beyond quick and easy data integration support, depend on enterprise data fabric solutions. Forrester VP, Principal Analyst and author of the report, Noel Yuhanna wrote, “Denodo’s data fabric solution integrates key data management components including data integration, data ingestion, data transformation, data governance and security to support new and emerging use cases including Customers 360, real-time and on-demand analytics, IoT analytics, and self-service analytics. In addition, Denodo’s AI and ML capabilities, and automation also continue to enhance across data fabric components.”
The latest innovations in the Denodo Platform have broadened its use for data science, hybrid/multi-cloud, and enterprise data governance initiatives. Denodo now offers an integrated Zeppelin-based data science notebook, GraphQL support, and augmented data catalog with integrated usage statistics. Denodo’s customers are using these capabilities for advanced pricing optimization to speed and ease web-based data marketplace creation, and to maintain GDPR and CCPA compliance regulations. Denodo also added support for AWS Athena, Google Big Query, Databricks Delta Lake, and Azure SQL Warehouse to support successful cloud use cases for its customers.
As 80% of customers are more likely to make a purchase when brands offer a personalised experience, personalised CX needs to become the norm for brands.
With the continual evolution of technology, customers expect more from their online and offline shopping experience.
To meet their needs, you need to understand their sentiment towards your brand as well as your competitors.
Businesses can do this by analysing and tracking their online opinions from social media posts and online product reviews.
Analysis of this data will help you make personalisation key as it will help you avoid customer frustrations and make their journey more enjoyable.How do you personalise customer experience?Personalisation through AI and NLPAI and NLP can help personalise your CX by helping you understand and respond appropriately and quickly to your customer’s needs.
For instance, Macy’s used an AI-powered bot to offer real-time responses to customers, merchandise recommendations and personalised offers for a better customer experience.
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