Aviv Consolidates 25 Years of Data to Enhance Digital Real Estate Decisions
The Aviv Group is revolutionizing digital real estate by unifying 25 years of disparate data, enabling swift decision-making and innovation. This strategic transition not only enhances operational efficiency but also positions Aviv for future growth.
Key Facts
- Aviv cut data maintenance FTEs from 15 to 2, freeing resources for innovation and strategic growth.
- Consolidating 25 years of data in 6 months reveals operational agility and competitive positioning.
- Real-time insights now available in seconds, enhancing decision-making speed and market responsiveness.
- AI-driven tools democratize data access, improving efficiency and creating a competitive advantage.
- Unified data platform supports scalable innovation, positioning Aviv for future growth in digital real estate.
Summary
Summary
Aviv, a leading digital real estate tech operator, faced challenges with disparate legacy data systems across its seven brands in Europe. By implementing Snowflake's AI Data Cloud, Aviv consolidated 25 years of data in just six months, significantly reducing maintenance efforts and enabling real-time insights. This transformation allowed Aviv to redirect 15 full-time equivalent (FTE) data engineers from maintenance to innovation, enhancing decision-making across the organization.
Background
Aviv operates in the technology sector, specifically within digital real estate, and is based in Berlin, Germany. Before the deployment, Aviv's data was fragmented across various legacy systems, including Microsoft SQL servers and Google BigQuery. This disorganization made it difficult to obtain a comprehensive view of key metrics, often taking weeks to gather necessary insights.
Challenge
The primary challenge Aviv aimed to address was the inefficiency of accessing and analyzing data spread across multiple legacy systems. The existing infrastructure hindered timely decision-making and required significant engineering resources for maintenance.
Solution
Aviv built a new data infrastructure from the ground up using Snowflake's AI Data Cloud. This involved consolidating data from 25 years of legacy systems into a single source of truth. The implementation included the development of AI agents that allow business leaders to query data in natural language, significantly speeding up the time to insight from days to minutes.
Results
The deployment of Snowflake enabled Aviv to consolidate its data in just six months. The number of FTEs required for data maintenance dropped from 15 to just 2, freeing up resources for innovation. Insights that previously took hours to generate can now be accessed in 15 to 20 seconds, drastically improving operational efficiency.
Key Insights
- Consolidating data into a single platform can dramatically enhance decision-making speed and accuracy.
- Engaging employees through hands-on experiences, like hackathons, can foster innovation and acceptance of new technologies.
- AI tools can transform data insights from static reports into dynamic, actionable information, improving overall business performance.
Customer Testimonial
“Twenty-five years of data, six months to unlock it. Snowflake didn’t just help us clean up our past, it has given us a platform to build the future on.” — Kshira Saagar, Chief Data and AI Officer at the Aviv Group.
Entities Mentioned
Companies
Products
Technologies
People
Organizations
Key Concepts
Definitions
- data estate
- The collection of data systems and infrastructures that an organization uses to manage and analyze its data.
- AI agents
- Automated systems that utilize artificial intelligence to perform tasks and provide insights based on data.
- natural language queries
- A method of querying data using everyday language, making it easier for users to interact with data systems.
- single source of truth
- A data management concept where all data is stored in one location, ensuring consistency and accuracy across the organization.
- data products
- Tools or applications developed to leverage data for specific business purposes, enhancing decision-making and operational efficiency.
Use Cases
- →real estate valuations
- →classifications and realtor services
- →customer behavior analysis
- →ad performance monitoring
- →sales enablement tooling
- →automated pitch generation
Frequently Asked Questions
What is Aviv's main goal with its data strategy?
Aviv aims to consolidate 25 years of disparate legacy data to improve decision-making and enhance the efficiency of its operations in the digital real estate sector.
How has Snowflake impacted Aviv's data management?
Snowflake has allowed Aviv to unify its data infrastructure, reducing maintenance needs from 15 full-time equivalents to just two, enabling the team to focus on innovation.
What are AI agents and how are they used at Aviv?
AI agents are automated systems that help users explore data using natural language queries. At Aviv, they provide real-time insights and streamline data analysis processes.
What benefits does a single source of truth provide?
A single source of truth ensures that all data is consistent and accurate across the organization, facilitating better decision-making and reducing the time needed to gather insights.
What future plans does Aviv have for its data capabilities?
Aviv plans to scale its experimentation capabilities significantly, leveraging its unified data to innovate and improve the performance of real estate listings and services.