data-analytics

Organisations often focus on collecting data and connecting systems, but the greatest value comes from helping datasets work together and making insights accessible to the people who need them. In this post, I explore the journey from siloed data to democratised access, showing how self-service analytics and AI can unlock hidden value, while strong governance provides the guardrails for confident…

Jump Trading captures petabyte-scale financial trading logs on a self-managed ClickHouse platform, where zero data loss and low latency are critical requirements.

What to Know: All nine items moved through the consent agenda, with only the payment-processing amendment drawing separate comment. The package includes cybersecurity training, network threat management, data analytics and systems supporting city utilities and courts. The $20 million figure combines new contract ceilings, contract increases, grant funding and required city matches.

The insurance industry is undergoing one of the most significant transformations in its history. Driven by digital platforms, embedded insurance, artificial intelligence, automation, APIs, data analytics, and ecosystem partnerships, InsurTech is fundamentally changing how insurance products are designed, distributed, underwritten, Read More ... The post Online Course on Insurtech : Driving the Di…

Appcues cut P95 query times 90%, ingestion latency 99%, and analytics spend 23% by migrating from Snowflake and Airflow to ClickHouse Cloud for real-time segmentation across 1.31 PB of data.

Data Formulator introduces AI-powered analytics for enterprise data workflows. Data teams can easily bring enterprise data into an AI-ready workspace where users can explore, analyze, and visualize data with AI agents to turn raw data into actionable insights. The post Data Formulator 0.7: AI-powered data analytics for enterprise data appeared first on Microsoft Research .

Introduction A couple of weeks ago, I built a full-stack mobile and AI-powered supply chain optimization app designed to simulate the real world. The goal of the project was to build an intelligent system that combines: Mobile development Backend engineering Data analytics Machine learning into a single production-style architecture. The platform built with React Native (Expo + TypeScript) Zustan…

IntroductionDigital transformation has reshaped human talent management, with Artificial Intelligence (AI) and Data Analytics emerging as key tools for optimizing recruitment, retention, performance evaluation, and employee development. Despite growing interest, the literature remains fragmented across technical, managerial, and ethical perspectives. This study provides an integrated bibliometric…

What is Python? Python is a programming language used to tell computers what to do. It is popular because it is easy to read and write, making it beginner-friendly. Python can be used to build websites, automate tasks, analyze data, and create machine learning applications. One of the reasons Python is widely used is because it is versatile. Instead of being limited to one area, it can be applied…

At Penn State Great Valley’s annual student research poster competition, students presented a variety of projects to faculty and guests. The three winning posters focused on a job posting data pipeline for management research, a multi-agent system to automate data science tasks for non-data scientists and reinforcement learning for optimized urban energy harvesting.

Langfuse uses ClickHouse Cloud to power real-time observability and analytics for complex, agentic LLM applications at scale. Migrating from Postgres to ClickHouse Cloud cut query latency from minutes to near real-time while supporting rapidly growing ingestion volumes. An upcoming shift to immutable, wide-table modeling reduces memory usage by 3x and results in 20x faster analytical queries. Sum…

Chartmetric uses ClickHouse Cloud to deliver real-time analytics on billions of rows of music, playlist, and engagement data. They migrated from Postgres and Snowflake to improve speed and reduce storage; queries now run 10-15x faster at much lower cost. Today, ClickHouse powers a 5.5B-row playlist cache that ingests 15M+ new rows daily, plus LLM-facing queries using batched WHERE + IN filters an…

Facing aging infrastructure challenges, M.U.D. has invested in a 24-hour leak monitoring system that leverages acoustic sensors and data analytics to locate leaks precisely.