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Avoid complex visualizations – they get in the way! Make performance comparisons easier! My goal is that you'll learn a set of filters you'll use as you think about the best ways to create your stories, however you choose to tell them with whatever visual output you most love. A delightful mess. Teddy ready?
Too many bars, inside them too many slices, odd color choices, all end up with this question: what the heck's going on here? We throw off a lot of data as a subtle way of earning a great job performance review. What you want to do instead is to do all the slicing, dicing, segmentation, beautiful math, and then step above it.
Allow me to visualize the problem above, and leverage that visualization to present the solution. As you might have guessed, you are at the very right of the above visual, with most access to data, the ability to analyze it ( inshallah! ) Notice that both visuals are a continuum. The Solution: Text (Wisdom).
Robust dashboards can be easily implemented, allowing potential savings and profits to be quickly highlighted with simple slicing and dicing of the data. Consult with key stakeholders, including IT, finance, marketing, sales, and operations. Ineffective dashboards can be easily updated to focus on business needs.
Using the right marketing KPIs (keyperformanceindicators) is a good start – what is now left is finding a way to organize it all in a way that makes sense and brings value. These reports are slicing, dicing, and analyzing data, while connects the dots between your marketing activities and the goals originally set.
7: 25% of all analytical effort is dedicated to data visualization/enhancing data's communicative power. #6: While these metrics sound good, and yes they do get a bunch of press coverage (they have good PR Agents), they are rarely deeply relevant and even more rarely yield valuable insights into business performance.
Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Users should have access to stunning visualizations, alerts for exceptions and trends, and deep dive analysis using highly interactive dashboards. Smart Data Visualization.
Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. They enable you to easily visualize your data, filter on-demand, and slice and dice your data to dig deeper. Maps are important data visualizations and at datapine, we love utilizing them in our dashboards.
Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. Today, free visualizations seem to be everywhere. It’s all about context. End users expect more from analytics too.
Analytics is vital now because providing end-users with the ability to analyze, slice, and dice data within the context of their application is essential to staying competitive in today’s fast-paced digital world. Developers/Product owners can visualize data perhaps not provided with product analytics.
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