


Purchasing Index Australia (PI Data Analytics Pty Ltd) Revenue
Business Consulting and Services • Melbourne, Victoria, Australia • 1-10 Employees
Purchasing Index Australia (PI Data Analytics Pty Ltd) revenue & valuation
| Annual revenue | $769,995 |
| Revenue per employee | $86,000 |
| Estimated valuation?This valuation is estimated based on industry average for the Business Consulting and Services industry and current estimated revenues | $2,500,000 |
| Total funding | No funding |
Key Contact at Purchasing Index Australia (PI Data Analytics Pty Ltd)
Benjamin Shute
Chief Executive Officer
Company overview
| Headquarters | L6, 365 Little Collins Street,, Melbourne, Victoria 3000, AU |
| Phone number | +61361110751 |
| Websites | |
| NAICS | 5416 |
| SIC | 738 |
| Keywords | Analytics, Spend Analysis, Big Data, Data Cleansing, Data Visualisation, Data Analysis, Benchmarking, Machine Learning, Strategic Decision Making, Reverse Auctions, Value For Money Assessments, Functional Maturity Assessments, Data Categorisation, Decision Automation Systems |
| Founded | 1983 |
| Employees | 1-10 |
| Socials |
Purchasing Index Australia (PI Data Analytics Pty Ltd) Email Formats
Purchasing Index Australia (PI Data Analytics Pty Ltd) uses 2 email formats. The most common is {first name} (e.g., john@p-i.com.au), used 75% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name} | john@p-i.com.au | 75% |
{first initial} | j@p-i.com.au | 25% |
About Purchasing Index Australia (PI Data Analytics Pty Ltd)
Organisations today are producing more data than ever. But for many, this data is outpacing their analytical capacity. PI Data Analytics is part of the Comprara group of companies, and we provide Big Data, Machine Learning and Decision Automation Systems to inform strategic data-driven decision making. With over 20 years in analysing procurement spend, PI has the track-record, expertise, and inbuilt algorithms to deliver clean data to you, quickly. Want to analyse your spend? We can visualise your spend in a week, analyse it in two and categorise it in under a month. Our embedded intelligence and data visualisation technology automatically and continuously drives cost savings, operational efficiencies, and revenue growth. > DATA CLEANSING & CATEGORISATION < Strategic data-driven decision making relies on quality data and accurate categorisation schema. PI leverages machine learning techniques, extensive rulesets, and our database of categorised data to clean and categorise data, unlocking its true value. > DATA VISUALISATION & INSIGHTS < PI has a collection of dashboard suites that have been developed to turn data into insights. These dashboards are designed for non-technical users to quickly, easily, and effectively extract the value from data, allowing them to focus on realising benefits to your organisation. > BENCHMARKING < Most organisations simply don’t know how their supply chain is performing in the marketplace. Gain access to independent benchmarking across a range of categories, processes, and functions, allowing you to measure your performance, identify the areas that you are achieving savings in and where further savings opportunities exist. > REVERSE E-AUCTIONS < Reverse auctions are a tool to reduce costs, but responsible procurement professionals know that it is a tool that is best used to forge lasting relationships. Ourexperienced team will help you design and implement reverse e-auctions so you gain all the benefits without the pitfalls.
Employees by Management Level
Total employees: 1-10
Seniority
Employees
Employees by Department
Purchasing Index Australia (PI Data Analytics Pty Ltd) has 8 employees across 2 departments.
Departments
Number of employees
Funding Data
Purchasing Index Australia (PI Data Analytics Pty Ltd) has never raised funding before.
Purchasing Index Australia (PI Data Analytics Pty Ltd) Tech Stack
Discover the technologies and tools that power Purchasing Index Australia (PI Data Analytics Pty Ltd)'s digital infrastructure, from frameworks to analytics platforms.
Security
Security
Form builders
Analytics
WordPress plugins
JavaScript libraries
CDN
JavaScript libraries
Miscellaneous
Programming languages
Blogs
Frequently asked questions
4.8
40,000 users



