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Questis Switches to MX for Faster, More Secure Connections

By Steve Jensen on May 23, 2018 7:15:48 AM

Today MX announced that fintech provider Questis has switched to MX for its financial data aggregation needs. With MX, participants with access to the Questis platform can see all of their finances in one place in a clear, organized, visual manner. Read the full press release here or below. 

Questis

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Is Your Bank Ready for GDPR? It's Coming May 25

By Sandy Baker on May 16, 2018 3:30:00 AM

The General Data Protection Regulation (GDPR) is perhaps the most important and significant change occurring in terms of bank regulation changes this year. On May 25,  this new framework will establish very specific rules for handling, access, and protecting personal data. It applies only to European Union residents, but the implications are far-reaching. As you work to advance your data usage to improve business operations, it will be very important for banks to also put in place these compliance requirements.
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How MX is helping Mercantile Bank of Michigan

By Steve Jensen on May 15, 2018 11:25:52 AM

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."

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How Data Helps Online Banking Providers

By Don Parker on May 15, 2018 6:28:00 AM

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).

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Intelligent Chatbots Start with Clean Data

By Steve Jensen on May 14, 2018 2:09:17 PM

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.

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Financial Wellness Starts with Clean Data

By Steve Jensen on May 11, 2018 10:39:04 AM

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. 

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Effective Marketing Starts with Clean Data

By Steve Jensen on May 10, 2018 11:36:47 AM

Ever get frustrated with offers that have no relevance to you? MX Target lets you create segments, deploy adaptive offers, and start tracking a campaign in under five minutes with absolutely no assistance from IT. It’s all about using the data from MX Insight to place the right offer in front of the right account holders at the right time.

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Clear Transactions Start with Clean Data

By Steve Jensen on May 9, 2018 10:07:35 AM

Cleansing, categorizing, and classifying lays the foundation for you to make data useful ... while avoiding misunderstandings and potentially embarrassing (or painful) situations! 

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Accurate Alerts Start with Clean Data

By Steve Jensen on May 8, 2018 3:17:42 PM

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."

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How Bank Customers Benefit from Artificial Intelligence (AI)

By Sandy Baker on May 5, 2018 5:45:00 AM

What value does artificial intelligence bring to the customer? In the average bank or credit union, day to day transactions seem simplistic and standard. Why invest in AI if it will not benefit the customer? It does, actually, in numerous ways.

Many financial institutions view the investment in any type of augmented reality, artificial intelligence, or data analytics as one to benefit the company itself. And, it does this. Reports indicate that the adoption of data analysis and insight alone is a top reason banks are turning to AI, along with increased productivity of staff and the cost benefits it provides.

However, there are numerous applications in which the customer – whether a loan borrower or a checking account user – benefits from this adoption as well.

It Improves Communications

From an employee-focus, the investment in AI can reduce the amount of time your team spends on the phone handling basic customer calls. Imagine the cost savings when you invest in chatbots, for example, to answer questions instead of using your labor-intense workforce. But, this not only benefits the business itself but also the customer.

Customers want information fast and without delays. They want to ask a question and get a specific answer in no time. Just the thought of having to wait in line for a customer service representative to answer the phone – in any industry – is one key reason consumers fail to reach out to their bank. AI ensures they get the information they need without delay.

In this manner, AI is saving financial institutions money while also improving customer service. That’s worthy of investment.

It Creates Memorable Results

AI can do more than just cut out the time spent by consumers on the phone. It can also provide incredible opportunities to reduce frustrations along the way. Let’s say a customer is thinking about buying a home. He or she is not ready to speak to a loan officer and does not want to provide his or her social security number just yet. They just want to know if it is even possible to obtain a loan before they set their sights on a home of their dreams.

They turn to the internet. They may even turn to their bank’s website. They go from page to page looking for information. They become frustrated. While these information-packed pages provide good stepping stones, it is not personal to them. It does not provide a very specific yes-or-no answer to the customer. The customer closes the page and moves on, without much information.

What if your website could provide more customized solutions? Using the data obtained, AI applications go to work for that person. They gather information about what the customer is looking for, perhaps even present some offers, or at the very least present an opportunity for the consumer to learn more through a customized, no-risk, no-credit-check offer.

The difference here is the personal engagement. When AI is applied, a basic web search completed by a customer turns into an effective solution. And, this creates a memorable event in the mind of that customer. Even if they cannot apply for a loan right now, they have already created an important relationship with their bank for this loan in the future.

Safeguard Their Information

Consumers know the risks of using the internet and connected landscape for their finances. Yet, there is increasing interest in doing just that. But, they want to partner with a bank capable of helping them avoid the worst outcome. In a recent report from Business Insider Intelligence, we learn AI is an important part of the payments process – in providing fraud protection and identity protection.

To see 16-pages of data coupled with case studies about how fintech can benefit your institution, read the MX Business Case.

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