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Insights on data strategy, AI orchestration, marketing analytics, and decision enablement. Expert perspectives to help you transform data into competitive advantage.
Showing 12 of 258 blog posts
Analytics for Stronger Direct Bookings in Hotels
Hotels have started using data analytics to improve operations, marketing strategies, occupancy percentages, yield and hotel bookings.
Benefits of Using Data Fabric
Data Fabric Benefits businesses with a powerful tool for managing and analyzing data by consolidating multiple sources into a single platform, it processes and analyzes data in real time.
Graph Databases to Find Hidden Patterns in Data
Graph analytics is a influential tool that can assist you discover hidden patterns and relationships in your data.
Everything You Need to Know About Risk Prediction Models
Risk prediction models are statistical models that aim to predict the probability of future events, such as whether a patient will develop a disease or not.
Data-Driven Decision Making for Restaurants Industry
Data Driven decisioning is changing the way restaurants used to follow the trends. It is now more accurate and effective.
Embedded Analytics - Empowering the Masses
Embedded Analytics makes data analytics available to more employees, allowing them to take business-related decisions, faster.
The Why, What and How of Web Analytics
Web Analytics is a term to explain the practice of tracking, measuring, and analyzing the performance of products, primarily your website.
What You Need to Know About Ecommerce Analytics Tools
Ecommerce analytics tools help you utilize the data to make data-driven decisions to drive your online sales. It calls for the gathering of data from all channels that influence your online store and then using the same to understand the trends and the shift in consumer behavior.
Analytics Platform Evaluation Checklist for Enterprises
The major goal of an analytics platform is to identify and understand data in order to take immediate action.
Data Quality Framework: A Comprehensive Guide
Data quality frameworks involve the components, tools, processes, and a set of guidelines associated with your business initiative to enhance data quality.
The What, Why and How of Operationalizing Analytics
Operationalizing Data analytics can be done cost-effectively if you implement the right practices and the right people. That's so true. Know the what, why and how of operationalization analytics.
Data is the Most Important Item on Restaurants' Menu Today
Restaurant Menu Analytics: Data analytics is necessary for what's called 'Menu Engineering' for – satisfied customers and maximum profits. Customer-level analytics. Know more about how restaurants menu analytics increases revenue of restaurants industry.
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