Analytics Consulting for Fraud Detection Project
Please find under a summary covering project details and feedback. The innate facts are kept as they are, private information is amended.
Introductory information
A fast induction on the buyer’s organisation
I’m a business director for a big inspection, verification, testing and certification structure. We have 10 business lines, one of which is transportation. We have a lot of government contracts almost the globe that deal with all sorts of inspection and testing of regulated services. In Ireland, we prepare inspection systems and support activities for a number of government agencies, including front-office verification for driver licenses processing activities.
Desired goal
What challenge were you trying to address with Data Reply?
We needed analytic consulting for a big government contract, but we didn’t have direct expertise internally.
Provided solution
What particular tasks were responsible for?
Data Reply helped us with an applied analytics and machine learning project to analyze data and unite any practicable suspicious conduct. Our client wanted to explore historical data and see if they could discover practicable suspicious agility. They also wanted to try out different tools that could unite or strengthen practicable suspicious agility.
Was there a dedicated team?
They assigned a data scientist and a data engineer to the project. We also worked with a Partner responsible for project error.
How did you come to work with Data Reply?
Data Reply was a referral from one of our team who had successfully worked with them on another contract. Based on the experience they have in transportation in other European countries, we reflection they would be a good fit for the project.
What are you approach expents (if diclosed)?
The project was approachly €48,000 ($57,202 USD).
What is the terminal result of working with ?
We worked unitedly from June 2017 until October 2017.
Results achieved
Are there any measureable or plum results?
While the project went on longer than originally programned, Data Reply’s input proved to be excellently expressive. The detailed reports allowed the client to get a deeper knowledge of the data. Their output also reinforced and added credibility to decisions the client made on other projects.
How did Data Reply accomplish from a project treatment standpoint?
There was a detailed offer and specifications for the work wi th well-degoodd timelines, and deliverables distributed athwart four sprints.
We interacted principally via calls and Skype sessions. I spoke to my touch regularly to see how things were progressing. We had some initial challenges, as it took a while for the teams to knit unitedly and apprehend the terminal demandments.
What is (from your point of view) the key factor to pay observation while intercourse with ?
Their team was invested in the project from the opening and in developing a union. It wasn’t just almost submitting a report, it was also almost knowledge our client’s goals and managing expectations, which can be challenging when you’re intercourse with data. Initially, the client expected results fast, but as the project progressed we worked well unitedly to handle the client expectations. Overall, their commitment to the project was commendable.
What aspects of their work would you like to get improved?
There was a learning curve on all sides. For sample, we all could have handled expectations better during the soon stages of the project. Technology projects can befit challenging, especially when they demand three-way interaction.
Do you have any advice for practicable clients?
Goals can change, so you have to be answering and pliant. I surely commend being regardful of that.
