Case studies

Movies on demand platform architecture: Using analytics to improve user experience from ‘pay to play’

Movies on demand platform architecture: Using analytics to improve user experience from ‘pay to play’

How Unico helped optimise a major streaming service’s user experience through a data driven analytics framework approach to platform architecture.


  • Tier 1 Australian Telco


  • Create a holistic view of all operational and business data for a pay on demand movie service through platform architecture.


  • Increase customer satisfaction and retention rates
  • Ensure all customers had access to the service
  • Enable customer claim verification


  • Disconnected data streams prevented the identification of critical service delivery issues in online movies delivery
  • It was impossible to identify how many customers could not use the service they had paid for


  • A solution that meshed machine data from organisation systems to deliver an end-to-end view of the online movie service delivery in near real time
  • Creation of Designer Analytics™ framework through platform architecture


  • A concise picture of system performance enabling the client to act instantaneously
  • Weekly transactions were turned around in minutes, giving improved confidence with service delivery and increasing customer satisfaction and retention.
  • Increase customer satisfaction and retention

For increased business performance and management, the structures of
large organisations are often highly segmented. Without the right technology platform and platform architecture this can be challenging when business segments are required to share information that relates to service delivery across the enterprise. It can be resource intensive and increase the margin for error, severely compromising business efficiencies and customer experience.

For our customer, separate departments were responsible for managing
different data relating to the delivery of online movie services. The
departments didn’t share data or communicate with each other, making it
difficult to manage service delivery effectively. As a result, management
only became aware of technical issues associated with the online movie
delivery when a customer complained. This made isolating technical issues
difficult and resource intensive. It also led to revenue leakage because the
organisation had no way of verifying customer claims.

As a pioneer leveraging the big data revolution for analytics solutions Unico created a framework, Designer Analytics™, to locate and unlock the value of operational and business data amongst the vast amount of data generated by the organisation. Machine data was mined from systems in the chain and pieced together to deliver an end-to-end view of machine and application chatter associated with online movie delivery.

This information was then placed into context of the service delivery using
customer data and activity. Our domain experts worked with the client to
identify the high value data they possessed and strategies to leverage them.

The platform architecture methodology revealed several other issues impacting business performance; uneven distribution of system loads for transactions, a decommissioned service consuming a third of system resources and longer customer waiting times than anticipated. Discovering these additional performance issues saved the client a costly capacity upgrade and valuable resources while highlighting the need for improved service delivery.

Grant Minchin

Principal Consultant

Case studies

Blockchain technology in food supply chain proving the authenticity of Australian meat products: Meat & Livestock Association (MLA)

blockchain technology in food supply chain

Blockchain technology in food supply chain proving the authenticity of Australian meat products: Meat & Livestock Association (MLA)

How Unico helped the Australian red meat industry establish if blockchain technology in food supply chain could be used to encourage traceability and authenticity.


  • Meat & Livestock Australia (MLA)


  • Blockchain technology in food supply chain for red meat traceability


  • Establish if blockchain in supply chain management could provide a transparent, trusted lineage of a value chain
  • Establish if blockchain technology could be integrated into existing processes 


  • Utilise blockchain to record live cattle movements through interface to the NLIS database 
  • Conceptualise a blockchain solution that could record lineage of beef product from processor to consumer
  • Use blockchain to demonstrate how potential fraudulent products received by the consumer can be detected  
  • Demonstrate transparency of blockchain through a user interface that can inform all members of the supply chain 


  • Successfully implemented and integrated

Meat & Livestock Australia (MLA) identified the potential for Blockchain technology in food supply chain to determine the provenance of Australian red meat products for overseas markets. Across the industry demonstrating the origin of meat is crucial to ensure food safety, quality and determine the conditions upon which that product was produced.

MLA sought to understand how Blockchain might be applied in the Australian red meat industry and identify the potential benefits and challenges it could bring to two beef supply chains.  

Working closely with the MLA, Unico performed two proof of concepts (PoCs), one with each of the major suppliers, Stockyard (A premium producer of high quality Angus and Wagyu) and Teys (One of the largest meat processors and exporters in Australia). 

Both PoCs were to engineer a label for beef products that consumers could scan to prove the provenance of their chosen product. Our team selected Quick Response Codes (QR) to function as the labelling system due to their widespread use on IOS and Android systems.

Traceability data would be entered into an application via a web interface and then printed onto a QR code stamp. All data regarding provenance of the beef is stored in blockchain and immune to change negating the risk of fraud.

When beef arrived at a point of purchase, the buyer could then use QR labels to retrieve information from the application to verify where their product has come from as well as information regarding its carbon footprint and standards for ethical treatment.

The project demonstrated that provenance could be achieved using blockchain technology in food supply chain despite the amount of supply chain stakeholders and bio security regulations. It also demonstrated how brands could build trust with consumers by using this technology to determine if their products fit within their personal standards.

Supply chains are a highly promising area for the application of blockchain technologies. The neutral ground provided by a blockchain can help integrate disparate participants in a supply chain, and the integrity and audit trail in a blockchain supply chain ledger will improve transparency and confidence within the industry.

Consumers will benefit from the transparency and immutable nature of a blockchain, allowing them to purchase with confidence in respect to the origin of the product. Future iterations of the solution will have the added benefit of recording, product type, frequency of purchase and the location of purchase. 


Evan Harridge

Director of Innovation and Enterprise

Case studies Partners

Maximising ROI on marketing automation campaigns through data cleansing: Racing Victoria

Maximising ROI on automated marketing campaigns through data cleansing: Racing Victoria

How we helped Racing Victoria regain trust in their customer data by building a custom data cleansing extension to extract and cleanse duplicated Salesforce Marketing Cloud contacts.


  • Salesforce Marketing Cloud (SFMC) campaigns and data cleansing services
  • Identification and removal of duplicate SFMC contacts 
  • Ensure all MRC’s contacts and leads are listed with 100% accuracy 
  • Reduction of salesforce contract renewal fees    


  • Removed 400,000 corrupted / duplicate contacts from database of over 1,000,000 
  • Saved RV $100,000 in costs over a 2-year contract renewal period  

A major part to conducting an effective automated messaging campaign is whether you can trust your data. Campaign results can vary drastically return in investment (ROI) based on how accurate the Salesforce database of contacts is. Racing Victoria (RV) had a database of over 1,000,000 contacts which contained a significant number of duplicates and corrupted data. In a 2-week engagement Unico cleansed their database of any duplicate contacts or outdated contacts that were no longer being targeted by email or SMS content. 

The data was extracted to a data extension where comparative testing was conducted to verify that contacts were classified as duplicates before deletion. Ensuring that a contact database is rid of all non-validated contacts means messaging automation platforms like SFMC charge users based on the true size of their contact list. 

“Contact database authentication was a major focus for Racing Victoria as our number of contacts continued to grow. Unico was able to enable us to have complete trust in our data within just two weeks and provided immediate ROI through this engagement”

– Marcia Allan, GM Customer Strategy & Engagement, Racing Victoria.

Following the data cleansing of Racing Victoria’s contact database, over 400,000 entries were removed resulting in over $100,000 of saved contract renewal costs. This was four times the cost of the Unico engagement, resulting in significant ROI for RV and clear value add.


Evan Harridge

Director of Innovation