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Insights and Expertise





        Once the data is easy to work with, you can generate
        custom reports for tailored business insights. One
        report, for example, could look at supermarket                  Unlock Your
        spending, where you could see the effect of lockdowns
        as people shifted from smaller, more frequent shops to
        a more substantial weekly one. Building these custom     Growth Potential
        reports would be a laborious job using in-house
        resources.

        Effective data standardization processes also speed up   With a BCP Loan
        investigations and rectify anomalies in reconciliations.
        With so many different files and data sets involved
        across multiple sources, it's common for some data fields
        to be missing. Or perhaps a processor generates data
        columns named in a certain way (such as transaction
        date, currency and transaction amount), while another
        might use a random code for that same column. These
        differences create issues with reconciliations.

        If you tried to investigate those differences in-
        house, you'd have to look through each processor's
        specifications document and figure out each column
        in each  data set to  find what they were  looking  for.
        Advanced standardization  practices resolve that by
        looking for certain transaction elements, such as dates,
        amounts or how the transaction was authorized.

        What's next for smart data?
        Data  science  will  become  increasingly  mainstream
        as people become more aware of techniques such as
        machine learning, especially given the uptake of
        ChatGPT and other large language models. More
        interest in these areas will lead to more research,
        development and interest in potential applications.

        Data monitoring and reporting in the payments
        industry  revolves  around  delivering  solutions  for
        companies to gain the most value out of their data.
        Data is also starting to be mapped to wider economic
        data, like GDP figures or other macroeconomic data,
        to provide more intelligent insights and benchmark
        against the wider industry.

        Looking further ahead, I expect different statistical                               BOCA
        models or machine learning models will be used for                                  CAPITAL
        more accurate forecasting. You might have a set of                                  PARTNERS
        cardholder spending at a certain point in time, but how
        will that look six months from now?

        That's the next step to gain more useful information out   Get a loan from $100,000 to
        of your data and then use it to help drive management
        decisions.                                              $5,000,000 for your ISO today

        Dr. Sophie Harbisher is the Data Science Lead for the Kani Payments
        platform, overseeing data modeling and reporting. Prior to joining
        Kani Payments, Sophie worked as a postgraduate research student
        in  Bayesian statistics  at Newcastle University,  during  which  she   Call Now: 844-531-4957
        completed a 3-month placement at IBEX Innovations. Contact her   bocacapitalpartners.com
        at Sophie.harbisher@kanipayments.com.

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