No terms found for this post.
No terms found for this post.
Companies have a lot of data, but it isn’t always clear how to turn it into added business value. In the webinar below, Xomnia's Analytics Translator Tim Reus explains how to identify a good data science use case. Scroll down to download Xomnia’s use case canvas and watch the webinar to see Tim demonstrate how we use it at Xomnia in our data science projects.
We believe that AI and data should be tailored to solve challenges in your company, and not the other way around. Therefore, the journey to create and execute your data-driven strategy and deliver useful data products should start by clearly answering fundamental questions:
1) WHAT are the data opportunities for our company & WHY should our company chase these data opportunities? → Define your value proposition.
2) HOW might we achieve the selected use cases? → Conduct a capability assessment.
3) WHEN to develop which data products and organizational enablers? → Set a data and AIroadmap.
A use case is a question that can be answered using data. Finding the right use case is essential to the success of your data science project because it enables you to:
There are four common areas for businesses to discover good data science use cases:
Examples of these use cases are recommender engines, data-driven marketing, and predictive maintenance. However, these strategies are often at a too high a level for a viable use case.
Those are the most common sources of data science use cases. Some possibilities are stock inventory predictions, picture recognition for data entry, decision support tooling, and pre-validations in processes.
Often, a data analyst or data scientist will notice an anomaly or something that stands out within the data. This can be translated into a use case. At LinkedIn, for example, a data analyst noticed that the data on users’ connections could be used for the platform to suggest relevant new connections.
Those can also facilitate a good use case. For instance, the COVID-19 pandemic has certainly been a change catalyst worldwide. We’ve seen data science implemented in South Korea’s drive through virus testing sites where image recognition and heat sensors are used to determine if someone has a fever. A business or industry can also be pressured to change their strategy by innovative disruptors so that they avoid losing market position. We saw this develop when Deliveroo disrupted the casual dining industry.
Tim recommends measuring the use case against both business and technical key performance indicators (KPIs). This will ensure that your data science project adds business value. You should also assess the use case at the beginning, middle, and end of the project.
When working to map out a good data science use case with Xomnia’s clients, Tim implements a use case canvas. He goes step-by-step through this process in the video above. As you implement the use case canvas in your business, try to answer the following questions:
Tim emphasizes that engagement is fundamental to every use case. So, make sure you put the people in the center of the implementation. Data science is always a tech problem, but never just a tech problem!
Achieve your organization's full potential with the leading AI consultancy in the Netherlands
No terms found for this post.
No terms found for this post.
We are looking more closely recently at EU cloud providers due to geo-political tensions. See a previous blog for more info. In our research on the capabilities of EU clouds we noticed that the support for so-called analytical databases is mostly la...
A common frustration among expats working at Xomnia is the occasional struggle with the communication style of the Dutch government. When a colleague accidentally missed a deadline on a fine which turned out to be a fine for missing a fine, this “fi...
The AI landscape is evolving at an immense pace, with recent developments signaling a significant shift towards connectedness of LLMs, Agents and third-party applications. Most recently, industry leaders like Anthropic and Google open-sourced their...
