Our Work

Case Study
2810_shopping_getty

Unlocking data driven decision making with major Australian retailer

Scenario

In 2019, embarking on its digital transformation journey, this retailer decided to build and adopt a new data platform.

This data platform was intended to lower the overheads of managing legacy systems, streamline self-service reporting, and serve as the base for newer analytics and machine learning capabilities.

However, by early 2021, the platform was not meeting expectations. Daily data loads were taking an average of 18 hours to complete, making it difficult to tap into vital business information that could inform strategic decisions, attract more customers and ultimately cater to the next generation of convenience shoppers. 

With their millions of customer touchpoints each year, generating huge volumes of data, they needed a new data platform that would give them the ability to capture vital customer information to prioritise the most impactful marketing, sales, and service initiatives.

The retailer was seeking a solution that would:

  • Provide and support their stores and franchises – with up-to-date business data
  • Provide 24/7 coverage to monitor the efficiency of the platform
  • Optimise costs to maximise business value
 
Solution

Arinco, a trusted technology partner with a long-standing relationship with the convenience store brand, were recommended to their data team by other parts of the organisation, as well as Microsoft.

We engaged in optimising the enterprise data platform, leveraging our Azure Data Done Right offering, enabling the business to gain valuable insights into customer behaviour and identify areas for improvement to make the best use of its incredible customer information.

From the initial assessment, the data team set aggressive targets for optimal processing performance. The objective was to initially reduce the daily load time by 50%, with the aim of making data available to the business by 11 am the following day – in some cases, an improvement of almost 48 hours.

“There are daily and weekly reviews of data performance and decisions are being made daily on those metrics. It was about making sure that important decisions the business needed to make could be done in a timely fashion.”  

Arinco’s Data Done Right offering provided the perfect solution to the retailer’s data challenges, allowing the team to get under the hood of the existing data platform and quickly identify opportunities to improve the speed at which the data was made available to the business.

Our team worked collaboratively with the retailer’s team to:

  • Streamline jobs for the best use of platform resources
  • Consolidate extraneous/legacy processes
  • Deliver timely data to support business objectives
  • Implement Power BI for more inclusive reporting and analytic
  • Optimise data warehousing, table structures, and queries

The process was iterative, involving a level of experimentation and agility to align the retailer’s data platform to the performance level the business was seeking.

The team, comprising of both Arinco and the retailer’s Data Engineers, were able to agree on the highest priority activities, speed up decision-making, and then deliver data automation with maximum impact.

“Arinco have become really solid partners, it is not like a typical client-vendor relationship. You know that given they are a Microsoft partner, you are getting access to people that have the best practice skill sets, and you can always call in Microsoft to provide assurance as well.” 

Outcome

Within the first three months, Arinco improved the retailer’s load performance by 45% and remediated stability issues in the customer codebase. We then scoped methods to implement Azure Analysis Services instances, providing a clear pathway to transition to a Power BI Premium instance. This would increase the adoption of the data platform and allow existing legacy reporting platforms to be decommissioned.

By the end of the project, daily load times were reduced even further, overachieving even the initial aggressive targets, with data now available to the business by 9.00am. Having readily available data enabled a direct pathway for business workflows and, in turn, decision-making purposes.

With a robust data platform in place, the retailer has gained visibility into high-impact buyer behaviour and can quickly identify business benefits, not only to improve customer engagement but also to make significant strides towards achieving their goals. By leveraging Arinco’s expertise and Azure Data Done Right offering, the retailer optimised costs and maximised business value while providing and supporting their stores and franchises with up-to-date business data.

From the success of this project, Arinco is now supporting key data initiatives to develop a single view of the customer model and further innovate their data and insight capabilities in Azure. The retailer is committed to developing additional personalised solutions, driving greater long-term brand loyalty, and ensuring they remain ahead of the market, even beyond price.

“This project really shows what can be achieved when you have good people working in the right spirit, with the right intention. We are now looking at things like machine learning models, which we can start to focus on because we are focusing less on optimisation, monitoring, and maintenance, because Arinco have helped us with that over the last 6 months."

Level 9, 360 Collins Street, 
Melbourne VIC 3000

Level 2, 24 Campbell St,
Sydney NSW 2000

200 Adelaide St,
Brisbane QLD 4000

191 St Georges Terrace
Perth WA 6000

Level 10, 41 Shortland Street
Auckland

Part of

Arinco trades as Arinco (VIC) Pty Ltd and Arinco (NSW) Pty Ltd. © 2023 All Rights Reserved Arinco™ | Privacy Policy | Sustainability and Our Community
Arinco acknowledges the Traditional Owners of the land on which our offices are situated, and pay our respects to their Elders past, present and emerging.

Get started on the right path to cloud success today. Our Crew are standing by to answer your questions and get you up and running.