A View from the Big Data & Analytics Retail Summit.

Have you ever thought about what the best charts are for visualizing distributions?

Our cadence for analyzing our performance, setting goals, developing plans and monitoring our progress.

With increasing needs for data analytics and ever more stringent laws concerning data security and privacy (looking at you, GDPR), data governance has become a business imperative for any data-driven company. Master Data Management (MDM) is an essential part of any data governance strategy, it is commonly defined as the comprehensive method used to consistently define and manage the critical data of an organization to provide a single point of reference.

Big updates to the Goals feature allow you to better identify trends, view company goal history, set progressive goals, and more.

As a startup, there can be endless things your company can and should be doing to secure leads, make conversions and grow.

If your cholesterol were to become too high, would you ignore the test results? Probably not, because when it comes to healthcare, many of us recognize that a data-driven approach helps keep a person healthy. So why is it that so few business decisions — perhaps fewer than half — are made using quantitative data? Sounds like some pretty risky disregard for corporate well-being.

For the past few years, big data has been all the rage, but it has not delivered on all its promise. We were expecting omniscience at our fingertips, and we’re getting moderately well-targeted advertising instead. Don’t get confused though, big data is not going anywhere. On the contrary, data keeps growing at a dizzying rate, increasing in volume, variety, velocity, and veracity.

We polled our audience of e-commerce experts to learn about the software tools they use alongside Shopify. Here is what they said.

In today’s blog post, we will give a light introduction to working with Neo4j’s query language, Cypher, as well as demonstrate how to get started with Neo4j on Google Cloud. You will learn how to quickly turn your Google BigQuery data or your Google Cloud logs into a graph data model, which you can use to reveal insights by connecting data points.