Data Prep Essentials for AI-Driven Analytics - Part 2
Learn how AI training and validation shape reliable models. Explore how structured, diverse data helps AI recognize patterns, generalize effectively, and avoid overfitting—ensuring optimal performance in real-world applications.628Views4likes0CommentsSisense Performance: A Billion Records in a Single Server
Browsing our site, speaking to our team, or reading about us in analyst reviews, you might have noticed that we dig technology here at Sisense. That’s why when clients and prospects desire to push the limits, both in terms of data complexity and quantity, we happily oblige.1.4KViews1like1CommentConvey Your Message at a Glance
Are you having a hard time deciding the best way to visualize your data? How can you convey your message and provide the right business context with a glance? You are welcome to watch the "Convey your message at a glance" webinar (40~ min) to learn more.507Views1like0CommentsDoes Your Project Have A Timeline? Planning For And Defining Success
Timelines are a key component of any dashboard implementation. Considering the available time is vital to establishing reasonable goals and how to best prioritize tasks. More importantly, adoption improves when projects show fast results instead of dragging on endlessly. Planning a roadmap for implementation can produce a successful integration for you and your team.1KViews1like0CommentsDriving sales and cutting losses: How MPP uses Sisense for smarter decisions
How does a warranty company like MPP balance boosting dealership sales while keeping costs in check? With Sisense, we’ve unlocked the power of data to make smarter decisions. From analyzing contract production to uncovering inefficiencies in our claims process, Sisense helps us support dealerships in driving sales, cutting unnecessary costs, and building lasting customer loyalty. Read on to see how Sisense fuels actionable insights and strengthens partnerships at MPP!330Views0likes0CommentsData prep essentials for AI-driven analytics - part 3
Discover how to improve data quality for AI and machine learning. In Part 3 of our Data Preparation series, learn how to fix missing values, remove duplicates, correct data types, and standardize formats—with SQL and Python scripts to help you clean your data for accurate, AI-ready analytics.281Views2likes0Comments