Ryan Buick

A guide based on failures Self-service analytics has become a popular trend (and a popular whipping post on data Twitter) in recent years, allowing businesses to easily access and analyze their own data without needing data teams and engineers to respond to every ad-hoc question. However, with this increased accessibility

In this post, we’ll break down the options you have to get data-driven and the cost of those options.

As a startup, data is one of your most valuable assets. It helps you understand your customers, track key metrics, and make informed decisions. But getting reliable, accurate insights from your data will be an uphill battle if your data is a mess. In this blog post, we’ll discuss

Your startup is growing fast. You’re collecting valuable data. But silos are forming and it's becoming difficult to wrangle all of the data you need into a single source of truth.   Traditionally, you would look for help from a data analytics consulting group to get your data centralized in

There's more to designing a great dashboard than just throwing a bunch of charts and graphs together. In this post, we'll go over some principles to follow when designing a dashboard to help you create something that is both informative and visually appealing. The Goals and the Intentions of the

The more accurate and insightful data you have, the better decisions you can make. If you work in any field where data is important, then you've probably heard the terms "descriptive analytics," "predictive analytics," and "prescriptive analytics." In this blog post, we'll look at the basics of these types of

How much has the supply chain evolved over the years? For the modern supply chain, things like delivery automation and digital models are essential staples, while AI and blockchain are threatening to further disrupt the industry. Developments in technology have changed how every functional area of the supply chain works

Do you rely on spreadsheet-based reporting to track your business performance? If so, you're not alone. While spreadsheet and manual reporting are better than nothing, they can hurt your business in many ways, including slowed business processes and decision-making, increased risk of human error, and more. This article will discuss

The number one objective of data modeling techniques is to help your team easily and quickly extract information from databases to make better business decisions. The modeling process identifies data relationships and workflows, helping you get rid of bottlenecks and speed up development. Because organizations are collecting ever-increasing amounts of

Building a data literacy framework in your company equips your employees with knowledge to make quick and accurate data-driven decisions. Here's how to do it.

This article [https://sapphireventures.com/blog/rise-of-the-connected-spreadsheet-the-killer-app-for-the-modern-data-stack/] was written in partnership with Rajeev Dham [https://www.linkedin.com/in/rajeev-dham-79332812/], Anders Ranum [https://www.linkedin.com/in/andersranum/], and Aditya Reddy [https://www.linkedin.com/in/reddyaditya/] at Sapphire Ventures [https://sapphireventures.com/]. For nearly a generation, spreadsheets have been

In the past, business leaders made decisions based on information that was weeks or even months old. As things can change very quickly in the business world, this would lead to lost opportunities. But today, real-time data analytics is transforming the way businesses operate [https://hbr.org/2021/12/are-you-using-the-right-data-to-power-your-digital-transformation]

Business intelligence is exactly what it sounds like: highly valuable information regarding a business that reflects how well it's doing. A small mom-and-pop shop can take a look at their merchandise, listen to what their customers are saying, and double-check how much they're making at any given point in time.

If you’re a business owner, you know what it’s like to constantly check the analytics. How much traffic has your website had in the past day, week, and month? What pages are people engaging with? How often does that lead to customer success and acquisition? You want these

Data visualization dashboards are essential for digital marketers, business leaders, and companies. They provide a way to view key performance indicators (KPIs) [https://www.investopedia.com/terms/k/kpi.asp] that can be used to improve decision-making. However, data visualization dashboards are not always easy to use. Here we’ll

Breaking down some of the problems I’ve seen in data collaboration and offering advice on how to make better, faster decisions with collaborative analytics.