Short stories about the first few Match Data Pro customers:
➡️ Customer #1
The owner of a small data and insights company was spending 15-20 hours a week (manually) cleaning and merging new and existing data in Google Drive. They wanted to automate more of the work and reduce the time they were spending on it. The goal was to create a quick, simple, repeatable, semi-automated process that could be passed on to a contractor.
➡️ Customer #2
A University migrating their ERP data knowing they should profile, cleanse, standardize, match, merge, and prepare the data for the new ERP. They knew that better technology would simplify the data work, mitigate the risk of a failed migration, save them a lot of time and money, and make business processes work better.
➡️ Customer #3
A Fractional CTO, Professor, and Python Data Scientist in Healthcare and the Fresh Produce industry, matching and merging sales data from two different systems to produce sales forecasting models. He knew the challenges of doing it manually and/or using Python, and he wanted a faster and more accurate way to match and merge similar customer names and IDs.
Match Data Pro is a very cost-effective, versatile, scalable, simple-to-use data processing platform, but I think the biggest ways we create value for our customers look like this:
➡️ Significantly reducing technical complexity
➡️ Significantly simplifying data ‘engineering’ work
➡️ Enabling valuable collaboration from less technical staff, securely, and regardless of their location
➡️ Creating shareable, reusable, fit-for-purpose, ‘data processing components’
➡️ Automating complex data operations
➡️ Significantly increasing operational agility
➡️ Facilitating operational efficiencies
➡️ Saving time and accelerating the delivery speed of critical deliverables
➡️ Creating visibility and comprehension around data quality and data processing methods
➡️ Significant increase in value and utility compared to similar software from Data Ladder, WinPure and Alteryx
➡️ Significant decrease in cost and complexity compared to similar software from IBM, Informatica, and Tibco
The platform is multiuser, multilingual, and it’s available as an on-demand SaaS application with monthly subscriptions (no contracts required), and it’s also available for on-premise / private cloud environments with annual and perpetual licensing.
➡️ Give it a try (free) without any registration required: https://members.matchdatapro.com/register-anonymous-user