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EdgeRed

Founded in 2018, EdgeRed has emerged as a rapidly expanding boutique consultancy specializing in data and analytics. Drawing inspiration from the term 'Bleeding Edge,' the company is committed to being at the forefront of innovative data analytics and technology. About Request and Introduction Request an Introduction with EdgeRed
About How They Help Capabilities Team
ADAPT - EdgeRed logo About EdgeRed

Founded in 2018, EdgeRed has emerged as a rapidly expanding boutique consultancy specializing in data and analytics. Drawing inspiration from the term ‘Bleeding Edge,’ the company is committed to being at the forefront of innovative data analytics and technology. EdgeRed prides itself on building practical analyses swiftly, guiding clients in the application of data-driven insights for well-informed commercial decisions. With a steadfast commitment to excellence, the consultancy has successfully implemented solutions for a diverse clientele, encompassing startups, scale-ups, and multinational corporations.

An agile team is deployed to construct rapid prototypes and collaboratively work towards delivering meaningful and actionable outcomes in an iterative manner. EdgeRed emphasizes its adaptability, expressing the capability to seamlessly integrate with clients’ existing tools. The team utilizes an exhaustive toolkit, enabling the identification of strategic priorities, analysis of data, and the construction of systems that align with clients’ existing infrastructure.

EdgeRed’s experience spans a broad spectrum of tools and platforms, including Python, Tableau, DBT, and more. The consultancy positions itself as a versatile partner, equipped to assist clients in harnessing the power of diverse technologies to meet their specific needs.
Quick Facts Year Founded 2018 Employees 30-40
How They Help

The team of data experts at EdgeRed possesses extensive experience in delivering high-quality output with a quick turnaround. They specialise in various domains, including data management and enrichment techniques, data visualisation, data engineering, data governance, predictive modelling, machine learning, and process automation.

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The team of data experts at EdgeRed possesses extensive experience in delivering high-quality output with a quick turnaround. They specialise in various domains, including data management and enrichment techniques, data visualisation, data engineering, data governance, predictive modelling, machine learning, and process automation.

Below are examples illustrating how EdgeRed assists its clients.

Data Visualisation / Dashboard: Operations and marketing teams often find themselves spending a significant amount of time sorting through reports scattered across Excel, Qlik, and PDF formats. The business teams face challenges in acting promptly on data, exacerbated by confusion arising from multiple “sources of truth.” EdgeRed conducted a series of workshops and interviews spanning all teams and organisational levels, including C-Suite executives and reporting analysts. The result was the consolidation of 100 reports into three streamlined, automated Tableau dashboards. This initiative saved 5 days per month for a dedicated analyst who would otherwise manually produce reports. Now, all users refer to consistent reports and figures.

Advanced Analytics: In another scenario, EdgeRed collaborated with a major financial institution aiming to introduce a new product to customers. The project’s objective was to identify and profile customers most likely to be early adopters, facilitating tailored messaging from the sales and marketing team. EdgeRed’s team built over 400 features and conducted feature importance analysis. Leveraging k-means clustering, they identified clusters of early adopters and created customer one-pager profiles to support marketing teams. Currently, the marketing team is in the process of developing tailored offerings for customer profiles most likely to adopt the product.

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Local Regions We Serve NSW VIC
Industries
  • Financials
  • Government
  • Utilities
  • Energy
  • Telecom
  • Education
  • Healthcare
  • Consumer Staples
  • Consumer Discretionary
  • Information Technologies
Organisation Size
  • Small
  • Medium
  • Large
  • Enterprise
  • Government
Capabilities

EdgeRed is recognised for its proficiency in various core capabilities, including:

  • Data Engineering
  • Data Governance
  • Predictive Modelling
  • Machine Learning
  • Process Automation

Data Engineering and Platforms Services: The team at EdgeRed excels in designing and constructing data pipelines and architectures tailored to align with your data maturity and existing infrastructure.

Data Insights and Visualisation: They specialise in performing exploratory analysis on data, creating compelling data visualisations through tools such as Tableau, Power BI, or custom dashboards, and weaving informative storytelling into the data.

Data Cleansing and Enrichment: EdgeRed is adept at transforming raw data, preparing it for end-user consumption. Enrichment techniques employed encompass text classification, deduplication, and data linking.

Data Governance: The consultancy is skilled in cataloguing data assets, developing a data dictionary, and handling personal information according to industry best practices.

Predictive Modelling and Machine Learning: Leveraging advanced analytics techniques, EdgeRed delivers commercial value through projects like customer churn models and price forecasting.

Process Automation: EdgeRed specialises in automating routine Business-As-Usual (BAU) processes using bespoke scripts or applications, with extensive experience in tools such as Google Apps Script and VBA.

EdgeRed adopts a collaborative approach by embedding itself within existing data teams, fostering knowledge-sharing, collaboration, and offering upskilling opportunities. The team is proficient in accessing quality resources promptly to address any technical or resourcing gaps within the client’s existing team.
Core Capabilities
Meet Our Team Click on each profile for further information.
Howard Gu Co-Founder at EdgeRed
Howard Gu

Howard Gu

Co-Founder at EdgeRed

About

Howard is a data scientist and senior consultant specialising in applying advanced analytics techniques to any form of business data. He has delivered a number of commercially successful projects across customer loyalty, capacity planning, store clustering and range optimisation.He has worked with some of the biggest datasets and have delivered impactful solutions to leading Australian companies, including Woolworths, Westpac, Qantas Loyalty and the Australian Football League.Howard is able to identify and build pragmatic solutions when using data to solve a business problem, and focuses on delivering tangible results to his clients quickly and refining it through successive iterations.
Monica Ly Co-Founder at EdgeRed
Monica Ly

Monica Ly

Co-Founder at EdgeRed

About

Monica comes from an analytics and strategy consulting background, specialising in customer insights, data governance, visualisation, enrichment and data linkage.Throughout her career, she has led many complex transformational and strategic projects which are longer term in nature. This includes data platform migration, the roll out of data governance frameworks and setting up new data analytics functions. She has delivered projects for some of Australia’s largest companies, including Woolworths, BT Financial Group, Compass Group Australia, Eftpos and Telstra.Prior to co-founding EdgeRed, Monica was a Consultant at Deloitte, Insights Manager at Macquarie Bank (BFS) and a Data Scientist / Analytics Lead at Quantium and Equifax.
Charlotte Pan Data Analyst at EdgeRed
Charlotte Pan

Charlotte Pan

Data Analyst at EdgeRed

About

Charlotte is a data specialist with years of experience delivering effective analytical solutions across data pipeline and enrichment, data visualisations and data science / machine learning techniques. She has explored cutting-edge techniques including conversational AI, sports analysis and fraud detection.Evident in her work is the development of robust, efficient and user-friendly solutions that alleviate the complexities of data and allow end users to focus on using the data outputs to make more informed decisions. Her technical expertise specialises in text analysis, including natural language processing and sentiment scoring.
Sarah Kazemi Lead Consultant at EdgeRed
Sarah Kazemi

Sarah Kazemi

Lead Consultant at EdgeRed

About

Sarah specialises in the end-to-end delivery of intuitive, user-friendly analytical solutions. This includes the development of self-serve dashboards on Tableau, R Shiny and Google Data Studio. On top of this, she also brings years of experience in web design and development.Sarah has delivered a number of solutions on cloud technologies, including the setup of data infrastructure and deployment of dashboards and applications.
Krishna Pydimarri Lead Data Engineer at EdgeRed
Krishna Pydimarri

Krishna Pydimarri

Lead Data Engineer at EdgeRed

About

Krishna is our data engineer lead with vast experience in functional programming, distributed systems and development of automated data pipelines. With years of experience as a software engineer, Krishna brings with him vast experience in application development, technical analytic solutions and machine learning techniques.Krishna has delivered projects across the data spectrum, from raw data enrichment and ETL processes to deploying complex machine learning models (including NLP algorithms and forecasting models). He has provided solution designs and delivered a number of automated data pipeline solutions within the technology confines of what is available to the client. This includes solutions for small start up / scale ups as well as medium to large enterprises.
Wilhelm Grebner Lead Analytics Consultant at EdgeRed
Wilhelm Grebner

Wilhelm Grebner

Lead Analytics Consultant at EdgeRed

About

Wil combines a background in business and statistics and has used his expertise in programming to build creative analytics solutions for clients. He has experience in a wide range of analytics projects and clients, research, and industries.He has worked on data science projects such as property valuations, customer segmentation and sentiment analysis. Additionally, Will has also developed python programs to automate manual tasks such as extracting email content and triggering email notifications. Most recently, Wil has worked with a major financial institution to develop a centralised repository of their adviser data.
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