Breaking Banks podcast, May 10, 2018: "We've integrated directly with [Mercantile's] existing PFM provider, which is MX. They have some great APIs and some data enrichment and cleansing that they go through. Based on my experience, they're pretty world-class in terms of enriching and properly categorizing these transactions. They've been really easy to work with. We're big fans of what they're creating there at MX. We're basically taking that data from MX and building the ability to have conversations about that data."
Don Parker, EVP of Partnerships at MX, joined by partner Bob Burgarino at Apiture, recently presented a webinar as part of the MX Data Webinar series on how online banking providers can join forces with banks and credit unions to make the most of the age of data age. Watch the recording below (or download the deck).
As chatbots continue to rise in popularity (think Amazon Echo or Google Home), so does the need to have clean data feeding that chatbot. MX cleanses, categorizes, and classifies all transaction data -- so voice searches bring up real transactions vs. garbled feeds of letters and numbers.
Ever find yourself wasting too much time putting all your transactions into the right categories? MX runs all transactions through our cleansing, categorizing, and classifying process. This means that we take the garbled mess of a typical transaction feed and make it useful.
Cleansing, categorizing, and classifying lays the foundation for you to make data useful ... while avoiding misunderstandings and potentially embarrassing (or painful) situations!
Anyone familiar with transaction feeds knows that the raw data isn’t pretty. It's often indecipherable and confusing for users. With MX, you can offer transaction data that has been cleansed, categorized, and classified.
Note: This is the first in the MX series of videos "It starts with clean data."