The healthcare analytics market is valued between $53 billion and $64 billion in 2025, depending on the research firm, and is projected to exceed $166 billion by 2030. Healthcare organizations generated 30% of the world’s data in 2025, yet 97% of hospital data goes unused. Meanwhile, healthcare data breaches cost an average of $7.42 million …
Healthcare Analytics Statistics 2026: Market Size, AI, Breach Costs Read More »
You can build clinical operations dashboards without a data warehouse by connecting directly to EHR databases, FHIR APIs, and operational systems, then joining results in a virtual query layer. This eliminates ETL pipelines, reduces PHI duplication, and enables real-time, HIPAA-compliant dashboards. Quick Summary (TL;DR) Clinical operations dashboards can be built by querying EHR, FHIR, and …
How Do You Build Clinical Operations Dashboards Without a Warehouse? (2026 Guide) Read More »
TL;DR White Label Embedded Analytics lets SaaS companies add dashboards and reporting that look fully native to their product. Instead of spending 18-24 months and millions building in-house BI, teams can launch in just 2-4 weeks. Benefits include: Faster time-to-market Complete brand control (logos, colors, domains) Higher retention & customer satisfaction New revenue through premium …
White Label Embedded Analytics: Complete Guide for SaaS Companies Read More »
TL;DR AI powered embedded analytics transforms how businesses consume data by enabling natural language queries, automated anomaly detection, and predictive insights directly within applications. Key Highlights: – 80% of business users can’t write SQL but need daily insights – AI bridges this gap – Natural language queries let users ask “Show me sales by region” …
DynamoDB guide 2025: Complete architecture overview, pricing calculator, real use cases from Netflix & Airbnb, limitations, and when to choose MongoDB or Cassandra instead.
Discover how business analytics software connects to RESTful APIs to unlock real-time data access, enhance agility, and support modern decision-making.
In this blog, we show how to create visualizations from the dataset, blend data between Couchbase and SQL database, and use search-based analytics.
Join MongoDB with MySQL, Elasticsearch, REST APIs & Redshift—no ETL needed. Learn how to unify data & build AI-powered dashboards in minutes with Knowi.
Streamline your data workflows with DBWrite — write transformed datasets directly back into your database from Knowi, no extra tools needed.
A group of technologies that comprise a data pipeline is referred to as the modern data stack. It enables businesses to gather data from multiple data sources, push it into a data warehouse, and connect the data warehouse to a business intelligence tool for tasks like data visualization to speed up decision-making.
