Struggling to make sense of all your retail facilities management data? You’re not alone. Many facility-centric retail businesses face the challenge of integrating and analyzing vast amounts of data from different sources and are looking for ways to turn that data into actionable insights.

Enter the Data Lakehouse. A single source of truth that manages all the different kinds of data your team is dealing with.

Retail facilities management teams are inundated with a wide range of data. Spreadsheets, platforms like ServiceChannel and Fexa, maintenance logs, photos, and hard-copy service tickets. The problem isn’t a lack of data, it’s how to unify, organize, and derive real business value from it.

Why this matters:

  • Expensive Operational Delays: Manually cross-referencing spreadsheets and PDF logs slows down problem resolution.
  • Missed Opportunities: Without a clear, consolidated view, costly maintenance and vendor performance insights slip through the cracks.
  • Risk Exposure and Unexpected Costs: Incomplete data visibility increases compliance, safety, and asset management risks.

The Data Lakehouse 

We design custom data pipelines and tools that integrate unstructured and structured data, such as photos, PDFs, work orders, or cost estimates, into a single source of truth that converts data into insights.

The underlying concept is the data lakehouse. This modern architecture approach combines the best of data lakes and data warehouses, allowing you to store and analyze both structured and unstructured data in a unified platform.

Custom Solutions for Unique Needs

Building data infrastructure doesn’t start with focusing on the data — it begins with understanding the people who will use it. For a data lakehouse to live up to its potential in the context of real-life workflows, it needs to match your team’s needs and fit seamlessly into your existing infrastructure.

Knowing who will use the data and how they will utilize it to achieve which business goals is crucial. To make sure any solution we build has the required flexibility to match your team’s evolving needs and data proficiency, we use widely adopted open-source tools such as Python. This includes multi-core processing and distributed cloud computing, together with cutting-edge AI tools like large language models (LLMs) to extract insights from unstructured data, such as photos or notes written by local teams. 

Infrastructure built on open standards also makes it easy to integrate with data analytics tools like Databricks and Snowflake, or your existing business intelligence tools like Tableau or Power BI. 

Say Goodbye to the Pile of Spreadsheets

Imagine your facilities team going from combing through dozens of spreadsheets with hundreds of columns to instantly viewing a prioritized list of stores that need urgent maintenance, complete with cost estimates from similar work orders and vendor performance insights. Or a tool that enables your team members to immediately see the most critical issues instead of sifting through hundreds of emails and individual work orders.

Whether you’re in charge of 5 locations or 5,000, we help you move from data collection to insight-driven decision-making. If you’re ready to turn your facilities data into a strategic asset, let’s talk!

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