Business Analytics Turn the Tables on Efficiency and Profit

Business Analytics Turn the Tables on Efficiency and Profit


(calm techno music) – To decide what business analytics tools we want to create in the
LAS software platform, we took a look at the industry and other reports that we’ve generated or been asked for over the years and we’ve spent a lot of years working with the LAS and with
logistics and freight brokers and other industry experts and over those years, they’ve asked for lots of different types of things from us. So we’ve taken all of those reports and a lot of them, we
built into the system to provide good analytics and insight into what’s going on with the business. But then, we’ve also took other experience that we’ve had as well and tried to take some of the
reports that have been asked for and find new ways to
present that information in more usable and consumable ways to allow for the user’s or the people who are seeing
the report on a daily basis to get that information and deal with that information or process the information in better ways and more effectively. We’ve taken the business analytics and then we’ve added those to Ties. So Ties is looking at
those business analytics and then it’s presenting those analytics back through to the users so the way that Tie really helps is by providing something to the end users who are needing that information and it allows it to be consumed by them in a way that is relevant to what they’re currently working on and that’s really the key thing about that makes Tie different is it allows for the user
to see that information and to get that analytical data that we know was important because everybody’s asking for it and show it to a user at a time
where it’s relevant to them and in addition to that, we’re offering some options
on what to do with that data. So you may see something that tells you an important piece of information but we don’t always
know what to do about it and that’s part of what Tie helps with is to give you that path, to show you what you can do with that analytical data
that’s presented to you. And that becomes really
valuable especially from the day to day employees, when they’re doing their
day to day processes. To make sure the actions
that they’re taking on analytical data, is the same as what the executive team and what the company, as a whole, would like to do with
that type of information. Distinguishing between the
noise and the valuable data is something that’s very difficult to do. It takes a lot of time and effort to make sure that what the statistics and the analytical data
that we’re looking at will make a difference to the business and this is part of what we
spend a lot of time doing is not just presenting the analytical data and presenting the best options to execute against that type of data but then also evaluate them down the line. So for example, if we take a tariff and we recommend that
increase in the margin slightly on that tariff, then some of the things
that need to happen is to monitor that tariff in the future and see has the volume increased on that or has the volume decreased on it and to take the negative results from that change or
that action that we took from an analytic side and make sure that it’s had a positive
impact on the business or in the area where
it’s supposed to impact. (calm techno music)

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