Articles from the team.

Seeking a faster route to data maturity? Delve into valuable insights from Data Culture's Managing Director, Neil Oliver, as he explores the advantages of partnering with a data consultancy and the considerations when determining the right support for your data team.

Data Culture Studio's spring intern, Angelica Hom, dives into the ideation, design, and development of Vote.org's 2022 Impact report, exploring the process from the perspective of a new team member just entering the world of custom data visualization.

Thinking of growing your data team? This article provides some insight into how hiring a data visualization designer instead of another analyst or engineer might actually be the most strategic decision.

In this article, Demilade Agboola, Senior Analytics Engineer at Data Culture, shares strategies for building an Optimized Data Stack (ODS) that can help businesses cut costs without sacrificing quality or performance. Learn how to measure costs, leverage open-source tools, evaluate data warehousing, and forecast future data needs.

Discover best practices for collaborating in a team, breaking down your project into manageable parts, and creating effective interactions and animations. Make the most of Webflow's capabilities and become an expert web developer.

Data Culture helped Helpsy, a B Corp, by performing an audit of their data infrastructure, creating a roadmap, and implementing a minimum viable product (MVP). They recommended Preset, a cloud-hosted data visualization platform. Preset provided a single source of truth for data governance and allowed for self-service use. Data Culture offers a free consultation for organizations looking for similar success.

Data Culture used event tracking and usage data to create unique visualizations that maps views and engagement time to certain pages and filter by location.The development process involved using D3, vanilla javascript, and some math to build the structure. The final product challenges viewers and provides a playground for understanding data in a different way.

Amina Brown, Senior Lead Data Visualization Engineer at Data Culture, shares the process behind creating the Recovery Capital Index (RCI) microsite for Commonly Well. The process involved collecting and structuring the data, creating a narrative, designing and developing the microsite, and implementing interactive visualizations to represent the data.

The article discusses the changes in the data infrastructure and how companies can leverage data since the 2008 bear market, where companies viewed data as a 'cost center' and reduced spending. Today, companies see data as a source of measurable value, and the return on investment for data solutions has exponentially increased thanks to advancements in cloud infrastructure, automation solutions, and analytics tooling.

This blog provides four best practice tips for working with survey data. Amina emphasizes the power of surveys in gathering valuable information and insights, while also acknowledging the common mistakes that can lead to wasted time and missed opportunities.

Data Culture is a data consultancy company focused on developing a data-driven culture in organizations. Data ethics and bias are important, as is multidisciplinary data engineering and data science. Learn about Data Culture's goal to build scalable solutions to problems repeating across companies and industries.