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Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. That’s why we welcome you to the world of interactive dashboards. But before we delve into the bits and pieces of our topic, let’s answer the basic questions: What is an interactive dashboard, and why you need one?
While your keyboard is burning and your fingers try to keep up with your brain and comprehend all the data you’re writing about, using an interactive online data visualization tool to set specific time parameters or goals you’ve been tracking can bring a lot of saved time and, consequently, a lot of saved money. Structure your metrics.
Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics.
Short story #4: Multi-dimensional Slicing and Dicing! You can hover over each box to get a sense of the key metrics. You get a confusing little thing, but the visualization is interactive. I found the NYT interactive visualization to be extremely illuminating: How the Speed of Response Defined the Ebola Crisis.
Robust dashboards can be easily implemented, allowing potential savings and profits to be quickly highlighted with simple slicing and dicing of the data. It is time to save valuable staff resources and walk away from static spreadsheets by using interactive dashboards. The right tool will benefit teams across an organization.
Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. Power BI’s rich reports or dashboards can be embedded into reporting portals you already use.
You can simply click on either one of the two above and see the valuable-drilldown view… All the standard Acquisition, Behavior and Outcome metrics you are used to can be leveraged to identify valuable segments. Go to Acquisition > Social > Conversions > Assisted vs. Last Interaction Analysis tab.
By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. Model Observability compounds performance stats and metrics across the entire model lifecycle to provide context to problems that can threaten the integrity of your models.
Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. Users should have access to stunning visualizations, alerts for exceptions and trends, and deep dive analysis using highly interactive dashboards. Key Performance Indicators (KPIs).
I can report on pageviews and bounce rates and sessions and all the other lovely metrics we normally obsess about. Now, all those other metrics suddenly have a purpose and context. This the reason I love setting engagement goal types (remember though, don't call the metric Engagement, it's an excuse and not a metric).
These quasi-explanations usually involve large, real effects and interactions so complex that arguments based on them are often non-falsifiable. As you can see from the tiny confidence intervals on the graphs, big data ensured that measurements, even in the finest slices, were precise.
Embedded BI and Augmented Analytics includes traditional BI components like dashboards, KPIs, Reports with interactive drill-down, drill through, slice and dice and self-serve analytics capabilities.
As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. Embedded Analytics Drive Successful Consumer Applications Consumer web applications have transformed how people use and interact with data.
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