Digital Twin Webinar: Understanding the Retail Analytics Glow-Up
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Data visualization is one of the last stops your data takes before getting into the hands of your users. But it’s one of the points at which many organizations fail. With a lack of design capabilities on analytics teams, it’s often left up to data practitioners to build what they can with the tools they’re offered.
We can help you use the right visualizations (not just the pretty ones) to drive real impact.
Impactful visualizations always start with a deep understanding of who is using the data, and what tasks they are trying to accomplish. Through interviews, observations, and stakeholder sessions, we’ll team up to understand exactly what data your decision makers need in order to take action.
More often than not, you’ll need to get into the data itself after better understanding what your users need. We’ve found that users often are using data from multiple sources, which you’ll want to pull together in your visualization. We’ll help you map and connect to the data your decision-makers need, tying every metric back to business goals.
Based on human psychology and perception, there are specific ways you should design your data to effectively impact behavior. We’ll help you find the right visualizations for the metrics your decision makers need to drive business results.
Data visualization is the practice of representing data and information using pictures, charts, and graphs. It enables teams to see information and analytics in a visual format so patterns and trends can be more easily identified.
Most organizations would readily recognize that they sometimes don’t choose the most effective data visualization option for their data storytelling aims. What’s more, anyone who’s charged with interpreting data may not have a good understanding of core design principles, which can negatively impact how critical data is visualized and reported.
The unintentional misuse or miscommunication of data is one of the most common, yet consequential results of poor data visualization techniques. But many of these errors can be corrected over time, especially if you learn to master the underlying principles that most directly influence our perception and understanding of statistical data. Even the slightest uptick in applied, foundational understanding can be a force multiplier toward better data storytelling.
When you’re able to understand even foundational principles of data visualization, you’re more easily able to translate your knowledge into practical guidelines for displaying complex information in ways that are more easily understood.
We’ll start by helping you understand who is using the data and what goals they’re trying to achieve, then we can help you understand what data needs to be pulled together. Lastly, we can help you find the right visualizations for the metrics your decision makers need to drive business results.
By partnering with the entire family of Google Cloud Solutions, we can help you maximize the power of the cloud to build custom, innovative data products that help you reach your goals, faster.
Digitize your route and tracking to gain real-time shipment visibility, address unforeseen issues from loading to unloading, and maximize OTIF.
Gain visibility into deliberate or inadvertent inventory shrink so you can make informed decisions on where to invest.
What every leader and data practitioner should be thinking about right now in order to develop their skills and “level-up” their data visualization game.
Best practices for effective data storytelling in an enterprise setting, regardless of which BI tools you’re using.
How a centralized assortment tool paired with predictive analytics leads to delighted consumers and stocked shelves.
