There’s no question that subscription-based businesses are an incredibly popular revenue model in today’s economy. While single transaction revenue models tend to fluctuate due to the seasonality of markets, subscription plans offer much more consistent and predictable revenues. Although the subscription revenue model can certainly be advantageous over one-off transactions, these businesses are also notoriously challenging to keep subscribers active on their plan.

The healthcare industry is crumbling under the weight of disruption. Newly empowered patients have high expectations for procedure and price transparency, and personal health information access, to enable informed treatment choices. Providers must deliver care faster, better and within a framework of rigorous quality, compliance, and cost containment guidelines. Drug and medical device makers are under pressure to deliver critical therapies quickly while ensuring safety, efficacy, and affordability.

BigQuery, Google Cloud’s petabyte-scale data warehouse, lets you ingest and analyze data quickly and with high availability, so you can find new insights, trends, and predictions to efficiently run your business. Our engineering team is continually making improvements to BigQuery so you can get even more out of it. Recently added BigQuery features include new materialized views, column-level security, and BigQuery ML additions.

This blog post is part of a series on Cloudera’s Operational Database (OpDB) in CDP. Each post goes into more details about new features and capabilities. Start from the beginning of the series with, Operational Database in CDP. This blog post provides an overview of the OpDB data integrity capabilities that help you achieve ACID transactions and data consistency. OpDB guarantees certain properties to ensure atomicity, durability, consistency, and visibility.

Being data-driven is the holy grail of modern business. It allows you to grow 8x faster than your competition, boosts your company’s net earnings by 30% and will have VCs throwing money at you if your organization relies on AI. So, what strategy does one use to become data-driven? Well, it’s actually quite simple: If you follow this recipe to the T, you can have your data cake and eat it.

The year was 1993. The place, a little town in Sweden. A serial killer was on the loose. He randomly shot at people standing at bus stops or sitting in their cars, killing one and wounding many others. The residents of Malmö lived in fear. Window blinds were shut, playgrounds were deserted. The police didn’t know where to start.

In 2019, organizations invested $28.5 billion into machine learning application development (Statistica). Yet, only 35% of organizations report having analytical models fully deployed in production (IDC). When you connect those two statistics, it’s clear that there are a breadth of challenges that must be overcome to get your models deployed and running.