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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 256 blog posts
How to Use Lookalike Modeling to Find High-Value Prospects?
Know how a lookalike audience builder accelerates customer acquisition. Learn benefits, best practices, and industry uses of look-alike modeling.
Choosing Between VoC Analytics and Feedback Tools
Understand the difference between customer feedback tools and voice of customer sentiment analysis. Learn best practices, tools, and strategies with Express Analytics.
Data Visualization Best Practices: A Complete Guide
This complete guide includes major elements of creating powerful data visualizations and tools, offering the best practices with practical advice.
Data Analytics Enriches A Customer’s Gastronomical Experience
Restaurants Analytics: Big Data Analytics strengthen food industry firms and restaurants by providing them important decision-making abilities when it arises to the areas of rating, pricing, product advertising, and product development as well as in demand prediction.
The Why, What and How of Composable Data and Analytics
Composable analytics allows you to assemble and re-assemble data processing pipelines, as well as data products, in a modular way. Like this, you can configure pipelines of a certain complexity and feature set, and then compose them into larger workflows.
How to Choose the Right Sentiment Analysis Tool
Sentiment Analysis Tool scrutinize customer sentiments in real-time and sends you alerts to control brand’s reputation. Try our AI/ML based Sentiment Analytics Software to get detailed analysis of your marketing campaigns.
Predictive Analytics in Business Intelligence Guide
Predictive business intelligence is very important for businesses to optimize operations, better understand their customers, and detect problems in the early stages.
Finance Teams Need to Tap Into Real-time Data Analytics
Real-time Data Analytics helps the banking and finance industry to discover, flag, and stop suspect transactions. This technology also reduces the risks of online fraud.
Everything You Need to Know About Time Series Analysis
From sales trends to demand forecasting, time series analysis plays a key role in understanding what’s likely to happen next. This blog covers the basics, methods, and practical use cases to help you make sense of time-based data.
Detect Outliers in Data Wrangling: Examples and Use Cases
The most frequently used Data Wrangling Examples and Use Cases are for: Merging many data sources into a single data-set for analysis. Recognizing gaps or empty cells in data and also filling or eliminating them.
Benefits of Cloud Data Analytics
ECloud analytics is a broad category that refers to all of the analytical techniques used to analyze data performed on a cloud. Benefits of Cloud Analytics 1. Cost 2. Quick Deployment 3. Simplicity 4. Efficiency.
Augmented Analytics: The Future of Business Intelligence
Discover how augmented analytics is transforming business intelligence by combining AI, machine learning, and natural language processing to automate insights and decision-making.
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