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Blackbook.ai

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Visualising Data & Processes​

Enhance the experience of your Power BI reports and dashboards by applying graphic design principles and user experience design to effectively communicate complicated data and processes.

Sentiment Insight Tool

A city council engaged Blackbook.ai to build a solution that was able to provide complaint sentiment analysis in order to deliver users with insights and trends in the complaints.

Accounts Payable Process Automation

Zanui is Australia's online destination for furniture and homewares for both consumers and businesses. The organisation is dedicated to offering the best quality products, the widest selection, and the best customer service in the Australian furniture industry. In addition to Décor, Walk'N'Talk, Black Ice, and Aerial, Zanui belongs to a company called Marlin Brands, which serves more than 18,000 retailers throughout Australia and New Zealand.

Kerbside Dumping Detection

A local council engaged Blackbook.ai to develop a solution that would harness the council's garbage truck cameras as a reliable and consistent source of data for detecting rubbish piles and mattresses left on the kerbside.

Updating Price Changes Workflow

A retail wholesale business engaged Blackbook.ai to create a workflow that receives extracted records of price changes for their products and saves the new prices in reports that are to ready to be reviewed.

API Integration​

Our knowledgeable team creates user-friendly apps that help organisations achieve their goals.

Data Platform Health Check

This ASX listed client was founded over 100 years ago and engaged Blackbook to complete a health check of their existing data platform and recommend options for the future state of their business, and the industry.

Data Warehouse Modernisation

An ASX200 Company with over 350 locations across Australia, Asia and Europe engaged Blackbook for Data Warehouse Modernisation strategy, design, and delivery, to migrate from on-premises to Azure Cloud.

Monthly Reporting

An Australian-owned company with over 1bn in revenue was spending valuable time creating over 60 monthly reports for their clients. Without a centralised data platform, these reports were produced manually and frequently contained errors and were delivered late or not at all.
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