Implementing a data-driven culture at scale is as much a leadership challenge as a technical one. Building a culture, processes & and practices that leverage data while preserving the skills and judgment of project teams is not easy, and Nancy Novak has been able to achieve this on both the contractor side, and with Compass Data Centers, on the owner/operator side as well. Nancy shares her lessons learned about how to build a data culture.

As Real Estate and Construction generate more and more data, it is critical that we stand up the processes necessary to keep our data current, organized and useful. Ian Cameron has been a leading voice in promoting data governance in Real Estate and the entire building lifecycle, and shares his experience and perspectives on how data governance works and can be employed.

For well over a decade, Construction firms have been adopting software that's delivered over the web, as SaaS applications. This has streamlined, sped up and improved many processes. It has also created a flood of data, and a sometimes confusing set of different applications that usually don't talk to each other. Attempts to gather data into a corporate data lake often suffer from data quality issues. LoadSpring addresses this by creating a separate system to manage SaaS applications in one "pane of glass," while also managing different data inputs to create the pristine data lakes that AI, and Analytics require. CEO Eric Leighton caps off a three part series with an in depth description of how all this works.

Data lineage is the key to trust in our data, and ultimately how a data driven culture can thrive in today's construction industry. By tracking where data came from, what's been done to it, and where it's going, teams are able to ensure they know exactly what's going into everything from dashboards to analytics to AI models. Data lineage is about relationships, often quite complex ones, and that is where graph databases make the most sense. In this episode, data expert Wouter Trappers outlines the importance of data lineage, and how graph databases can help.

Almost every contractor is undergoing some level of digital transformation, going from paper and excel based workflows to SaaS and cloud centered ones. That means more than just adopting these SaaS platforms, it means ensuring they talk to each other, ensuring that data is flowing the way it should, that ownership of data is held with the contractor, and so much more. Dr. Asif Sharif is managing director of LoadSpring Solutions EMEA, and a true digital transformation expert. In this episode, he shares his experiences and advice about digital transformation for construction companies, and AEC in general.

Denise Gosnell is a leading light in the emerging graph database category, and author of the highly useful "The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems". Dr. Gosnell walks through what a graph database is, including the difference between a property database and a semantic graph database, and outlines how to create one, how they add value, and most importantly, why graph databases can uniquely solve some of construction's thorniest data problems.

Data can be aggregated and analyzed to create patterns, and those patterns can help project teams predict the likelihood of risk in a given situation. Josh Kanner, founder and CEO of Newmetrix, takes us through what that looks like, and how they've managed to pull together enough data to create what he calls "prescriptive analytics" - models that suggest courses of action that managers can use to make better decisions.

Construction data rarely exists in a silo - everything is connected to other parts of the project, the company, the business overall. To make the most out of this sort of interconnected data, it is often best to use Graph Databases. Project DADO have done exactly this, by implementing a sophisticated graph database in their SmartLinks product. CEO Jake Olsen shares their process for developing the database approach, and how graph databases fit in a larger data management picture.

The key to gaining trust in data is to manage it well, from its first generation through all the storage, transformation and analysis it goes through - this is data governance. Uri Gilad, Group Product Manager, Data Governance at Google, and Jessi Ashdown, Senior User Experience Researcher, also at Google are two of the authors of "Data Governance: The Definitive Guide," an outstanding introduction to the key concepts of data governance, and the frameworks needed to enact it. In this episode you'll hear about what data governance is, how to get started, how to transform your data operations.

Whether its a dashboard, a report, or just a graph, too often we hope that data will tell its own story, and too often our message doesn't have its intended effect. Gavin McMahon, Founding Partner and Chief Product & Content Officer of fassforward specializes in telling stories with data, and joins us on this podcast to breakdown what makes a story, what makes a good story, and how to organize your information so it gets done what you need to get done.

Everyone from startups to innovation teams to PMs will find this podcast highly useful as we continue to integrate data more and more into our work.