data-visuals 
IdeaScale
APRIL 19, 2024
A context diagram, also known as a system context diagram or a level 0 DFD (Data Flow Diagram), is defined as a broad visual representation that provides an overview of the interactions between a system under development and its external entities. What is a Context Diagram? It illustrates the scope and boundaries of the system
mjvinnovation
DECEMBER 1, 2020
Let’s start with a strong statement: Data is inevitable. We woke up, and suddenly everything was generating data, and the race for advanced analysis had started well before that. The reason, or rather the facilitator of all this, is data! Here’s a spoiler: dashboards are the framework for data culture.
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IdeaScale
APRIL 12, 2024
What is a Data Flow Diagram? A Data Flow Diagram (DFD) is defined as a graphical representation of the flow of data within a system. It illustrates how data moves from input sources, through various processes, and finally to output destinations.
Paul Hobcraft
OCTOBER 2, 2023
This shift has prompted innovation to develop tools and design approaches that support these changes in several critical ways based on four global aspects: Learning from real-time data : Traditional analytics models and past performance data may not be entirely relevant in today’s ever-changing business landscape.
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Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become table stakes. Five years ago they may have. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
Taivara
MAY 30, 2018
A Better Data Visualization Tool? Testing a customized enclosure diagram approach to data visualization. While handling huge amounts of data is a challenge for virtually all industries, it is a particular challenge, with real consequences in cyber-security and national defense. A Better Way, Visualized.
Destination Innovation
AUGUST 2, 2023
Artificial Intelligence (AI): Computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. It has led to advances in smart homes, wearables, industrial automation, and more.
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Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become commonplace. Which analytics features are replacing visualizations as “the next big thing”. Five years ago they may have. You’ll learn: The 3 benefits of deeply embedding BI.
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Storytelling is more than just data visualization. Storytelling provides an organized approach for conveying data insights through visuals and narrative. Data-driven storytelling could be used to influence user actions, and ensure they understand what data matters the most.
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Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become table stakes. Five years ago, they may have. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways.
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Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.
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That’s one of the many reasons we wrote The Definitive Guide to Dashboard Design—to help you avoid common pitfalls, including… Cramming too much onto one screen and expecting the user to figure out what’s interesting and relevant on their own Getting carried away with fonts and colors so the user is distracted by formatting instead of focusing on the (..)
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
Speaker: Dr. Joe Perez, Senior Systems Analyst at NC Dept. of Health & Human Services, and Chief Technology Officer at SolonTek
Do you have the vision to combine beauty with brains, thereby driving decisions with data? What value do you see in your data? Joe Perez will go over the five "Stages of the Spectrum" in action while discovering the difference between impact and influence, and how that difference plays into making data actionable.
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