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Optimizing data pipeline efficiency to reduce cloud costs for an amusement park

  • Travel & Hospitality

Optimizing data pipeline efficiency to reduce cloud costs for an amusement park

By analyzing and adjusting data processing schedules, OneSix enabled a seaside amusement park to significantly reduce unnecessary cloud expenses while maintaining scalability during peak demand. This optimization improved cost efficiency and ensured the pipeline aligned with real-time business needs.
Data & AI Strategy
Data & App Engineering
Snowflake

Overview

Optimizing Snowflake costs for smarter data spend

Many organizations invest in modern cloud data platforms like Snowflake to support data-driven decision-making and innovation. However, without proper cost management, these investments can grow disproportionately to their value. A seaside amusement park client approached us with a significant challenge: their Snowflake costs were spiraling beyond expectations despite what they believed should be a relatively modest data workload. They needed clarity on cost drivers and actionable recommendations to align spending with business outcomes.

Our Solution

Executing in-depth cost analysis and actionable strategies

We performed a comprehensive analysis of the organization’s Snowflake environment, focusing on spend trends, workload efficiency, and resource allocation. The engagement included:

  • Macro-level spend assessment: Identified trends and major cost contributors within the organization’s Snowflake environment.
  • Detailed workload profiling: Drilled into high-cost applications and workloads, uncovering inefficiencies driving excess expenditure.
  • Actionable cost-saving recommendations: Delivered a set of tailored strategies to reduce costs while maintaining operational effectiveness.

Two primary inefficiencies emerged during our analysis:

  • High-cost applications with minimal value: One application alone consumed over 30% of total Snowflake costs, but didn’t represent significant business value.
  • Overly frequent processing schedules: Frequent data loads without real-time needs can inflate costs. Aligning processing frequency with business value reduces waste and maintains efficiency.

To sustain cost efficiency, we suggested leveraging Snowflake’s built-in tools, such as resource monitors, auto-suspend settings, and budgets with usage alerts, ensuring proactive cost management aligned with evolving business needs.

Results

50% cost reduction and a foundation for long-term efficiency

Our engagement delivered immediate and impactful results:

  • 50% reduction in Snowflake spend: Shutting down the underperforming application and adjusting the data pipeline frequency achieved nearly half of the total savings.
  • Improved cost visibility and control: Introducing workload-specific warehouses allowed precise tracking of resource usage, enabling better budget alignment.
  • Sustainable cost management: Implementing Snowflake’s monitoring tools created a feedback loop for ongoing optimization.

These changes not only aligned Snowflake costs with the organization’s data workloads but also created a foundation for sustainable growth. By reducing unnecessary expenses and enhancing efficiency, the organization could reinvest savings into high-value data initiatives, driving innovation and competitive advantage.

Are you looking to optimize your cloud data spend and unlock the full potential of your Snowflake investment? Contact us to learn how we can help you achieve impactful results like these.

Ready to unlock the full potential of data and AI?

Book a free consultation to learn how OneSix can help drive meaningful business outcomes.

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Maximizing casino player profitability with a one-to-one marketing engine

  • Travel & Hospitality

Maximizing casino player profitability with a one-to-one marketing engine

By implementing a one-to-one marketing engine with real-time personalization, OneSix helped a casino gaming provider enhance player experience and boost profitability through tailored offers.
AI & Machine Learning
Next Best Action
Snowflake

Overview

Revolutionizing loyalty marketing in casino gaming

Casino gaming is a high-energy industry that continually seeks to use state-of-the-art technology to improve the player experience. However, most loyalty marketing programs in the industry still follow traditional, tier-based direct marketing approaches. Using this model, casino patrons are evaluated based on monthly spending data, then categorized into low- to high-value tiers. Promotions like free play, restaurant discounts, and hotel perks are allocated by tier, with players receiving updates via direct mail or email.

This legacy system has significant drawbacks. Promotions are distributed only once a month, resulting in outdated information by the time offers reach players. Additionally, the process is labor-intensive and static, failing to respond to real-time changes in player behavior. Since players are grouped into broad value categories, the traditional approach also lacks personalization, preventing casinos from crafting customized offers that reflect individual preferences and engagement patterns.

In response to these limitations, our client, a leading casino gaming provider, partnered with OneSix to develop a solution capable of engaging players individually. The goal was to build a dynamic marketing engine that would automatically learn from players’ behaviors both online and in-casino, creating a personalized, real-time experience for each player.

Our Solution

Building a one-to-one marketing engine for personalized engagement

OneSix designed and implemented a one-to-one marketing engine powered by a distributed reinforcement learning platform, tailored specifically for the gaming industry’s needs. Recognizing that each player’s engagement is driven by unique behaviors, we developed a platform capable of continuously learning and adapting to individual player activity. This multi-channel “next best action” engine integrates data from multiple sources to generate a comprehensive, real-time view of each player.

The system leverages this data to make intelligent, individualized decisions, including when and how to communicate with each player. The engine streams out optimal actions that maximize engagement, offering personalized incentives and communication across various channels, such as email, direct mail, online platforms, in-app messages, and SMS. This approach allows the casino to engage each player based on their current behavior, creating a highly responsive, individualized experience that feels more relevant and timely than traditional loyalty programs.

In addition to building this powerful engagement engine, OneSix ensured that the platform would continue learning over time. Our solution includes a feedback loop that adjusts strategies based on player response, optimizing interactions to align with evolving preferences. This adaptive approach allows the casino to nurture player relationships effectively, combining the best of real-time analytics with advanced AI-driven marketing capabilities.

Results

Enhanced player experience and increased profitability

The deployment of this one-to-one marketing engine has transformed the client’s approach to player engagement, providing a more immediate and personalized experience for casino patrons. Players now receive offers tailored to their individual habits and preferences, and these offers are refreshed in near-real-time as new player data is collected.

Experimental testing of the platform has demonstrated substantial improvements in player profitability, as well as enhanced engagement and loyalty among both new players and those migrated from traditional loyalty programs. By responding to shifts in player activity and delivering customized offers across multiple channels, the casino has seen a marked increase in player satisfaction and profitability.

$550M

Annual player reinvestment

10%

Increase in player visits

6%

Increase in player profitability

Ready to unlock the full potential of data and AI?

Book a free consultation to learn how OneSix can help drive meaningful business outcomes.

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Optimizing restaurant inventory using demand forecasting for Relish Works

  • Travel & Hospitality

Optimizing restaurant inventory using demand forecasting for Relish Works

OneSix developed a machine learning platform for a food distributor, enabling restaurants to optimize ingredient ordering, reduce waste, and enhance profitability through data-driven inventory management.
Data Science
AI & Machine Learning
Forecasting & Optimization

Overview

Maximizing restaurant profitability by optimizing ingredient ordering

A leading food distributor sought OneSix’s expertise to create a data-driven platform that could support restaurants in managing ingredient inventory more efficiently. While many restaurants relied on manual processes and intuition to determine restocking needs, the client wanted to introduce a solution that would allow for optimal ordering strategies to balance the risks of missed demand and food wastage.

Our Solution

Building an ML platform for dynamic ingredient forecasting and optimization

OneSix developed a machine learning-powered tool to generate ingredient-level forecasts based on diners’ orders, point-of-sale data, and menu items. The platform used these forecasts to predict future inventory needs, providing optimal restocking recommendations.

By factoring in each ingredient’s shelf life, seasonality, demand patterns, and role in various menu items, the platform automated order generation, allowing restaurant operators to submit optimized orders with just two clicks. Additionally, the tool aggregated ingredient and dish-level trends, offering insights into seasonal shifts and evolving consumer preferences to further guide menu planning.

Results

Enhanced profitability through data-driven inventory management

The machine learning solution enabled restaurants to make informed restocking decisions, minimizing waste while ensuring ingredient availability for high-margin items. By automating inventory management, the platform significantly reduced manual efforts and improved restaurant profitability. The aggregated trend insights also empowered operators to adapt to seasonal preferences and make data-backed decisions in menu engineering, providing ongoing value to restaurant businesses.

“OneSix partnered with us to design a new, machine learning-powered tool for restaurant operators to manage their business. They guided us through the process of framing the problem and determining what was possible with state-of-the-art ML/AI. The solution they developed transformed a key operational challenge into an automated solution that drives new value for restaurants.”

Mandy Tahvonen, Managing Director

Ready to unlock the full potential of data and AI?

Book a free consultation to learn how OneSix can help drive meaningful business outcomes.

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Unlocking global sales and customer insights with for a leading restaurant chain

  • Travel & Hospitality

Unlocking global sales and customer insights with for a leading restaurant chain

OneSix created a Power BI solution for a global restaurant chain, enabling interactive, on-demand insights into sales performance and customer sentiment across international markets.
Data Analytics
Microsoft Azure
Power BI

Overview

Achieving a view of global operations for a large restaurant chain

The larger a company grows, the more difficult it is to capture a comprehensive view of its operations. Once an organization’s footprint has reached across international borders, maintaining clear visibility into every market, department and customer segment becomes challenging.

This was precisely the problem that our client, a global restaurant chain, came to OneSix to help solve. Company leaders wanted to better understand global sales performance across their core products as well as customer sentiment around their largest brands.

Our Solution

Designing a proof of concept for scalable, interactive data insights

Given the scale of the business’s operations, a new solution couldn’t simply be swapped in for the previous data warehouse platform. OneSix worked with our client’s executive leadership to design and launch a viable proof of concept that could be piloted within select business units.

Our team created a rapid prototype using Microsoft’s Power BI platform – in particular, leveraging Power Query and Power Pivot features to build dashboards and reports. Excel-based data sources were cleansed via DAX functions in Power BI.

Technologies Implemented
  • Azure DAX and Power Query were leveraged to cleanse the data and consolidate multiple Excel data files into a single data store
  • Power BI enabled interactive dashboards and reports to executive leadership

Results

Enabling on-demand insights into global sales and customer sentiment

Our client was now able to provide end users with a more interactive and visually rich way to work with their global sales and customer sentiment data.

The ability to compare global sales performance and drill into individual markets and product performance was now available on demand. The team was able to understand the capability of the new platform and identify whether or not it could be leveraged for a much larger implementation down the road.

Ready to unlock the full potential of data and AI?

Book a free consultation to learn how OneSix can help drive meaningful business outcomes.

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