Analytics

Analytics best practice: 5 key dashboard design principles

Simply put, a lot of effort is going into creating dashboards that the intended audience don’t even look at. The main purpose of a dashboard is to communicate business data in a visual form that highlights to the reader what is important, arranges it for clarity and leads them through a sequence that tells the story best so they can make better data-led decisions. Design and an understanding of how humans make decisions exist to assist this purpose.

ClouderaNow 21 - Automate Data Enrichment Pipelines

See this demo of Cloudera Data Engineering which builds upon Apache Spark and allows us to load, transform, and enrich our datasets and has built-in workload orchestration to automate these pipelines at scale. The demo will also illustrate how easy it is to go from streaming to enrichment and data pipeline automation all in an end-to-end data platform.

The Dashboard Is Dead, Long Live the Dashboard

There is a lot of talk these days about the dashboard being a thing of the past. After all, simply displaying KPIs and visualizations in a dashboard is something everyone can do, right? If monitoring KPIs is all you need to do, then we would agree: The dashboard is largely dead. We can deliver those singular data points to you anywhere, monitoring what you’re interested in, alerting you to changes and triggering action.

The Snowflake Data Cloud for Healthcare & Life Sciences

Learn how the Snowflake Data Cloud helps Healthcare and Life Sciences organizations deliver improved care, products, services, and therapies. Healthcare and Life Sciences organizations are under increasing pressure to leverage data to deliver improved care, services, and therapies. The Snowflake Data Cloud can help these organizations centralize, unite and securely share sensitive health and life sciences data to help deliver comprehensive, equitable, and individualized care and services.

The death of the dashboard: What it really means for analytics

Let’s get this out of the way: To understand the much discussed ’death of the dashboard' proclamation, the phrase needs to be viewed under a different lens beyond the literal. Firstly, it's not a new concept at all: Yellowfin have been saying it for years. The problem is in the current confusing interpretation around what it means for business intelligence. In short, dashboards aren’t actually dying, nor is their usefulness for certain users spent.