For augmentations more than 400, a complete analytical dashboard will be provided with analytics ranging from consumers to mobile phones used, their location to likes & dislikes.
Why zika, malaria and ebola should fear analyticsRiaktr
Human travel is the largest cause of epidemic spread, but there is little data available to understand and monitor those moves. Telecom data help solve this issue, as it is unique in terms of size, granularity and mobility insights. This presentation will show you how analytics tools based on telecom data enable aid workers to make smarter decisions, take prompter action and eventually save more lives.
Real Impact Analytics (RIA) has developed an important knowledge on societal issues, epidemic risk flows in particular. It has a proven track record in Zambia for dealing with Malaria and in Western Africa for Ebola, where it supported UNICEF’s action.
Graphs are visual representations of data that help illustrate amounts and relationships. There are several common types of graphs, including pictographs, pie charts, map charts, histograms, bar graphs, and line graphs. Each graph type has distinct features - for example, pictographs use icons to represent quantities, pie charts show data as percentages, and line graphs connect data points with lines. Graphs are useful tools for understanding and analyzing various sets of information.
The document describes the components of an Excel chart and how to create a chart using the Chart Wizard. It discusses the chart area, plot area, axes, titles, grid lines, data series, data points, labels, legends. It provides steps for using the Chart Wizard to select data and create a column chart with options to add titles, axes, gridlines, legends, and data labels. Components of a chart include the chart area, plot area, axes, titles, grid lines, data series, data points, labels, and legends.
This document discusses different types of graphs and charts, their purposes and guidelines for use. It defines the key difference between graphs and charts, with graphs representing relationships between objects and charts representing data through symbols. Common chart types are described like line charts to show changes over time, bar charts to compare categories, and pie charts to show proportions of a whole. The document provides examples and guidelines for effective graph and chart creation.
The document discusses charts and graphs used in business, including their components and purposes. It explains that charts visually represent spreadsheet data in a way that highlights trends and relationships. Charts contain elements like data series, titles, axes, labels, legends and more. Examples of using charts include representing sales trends, expenses, and stock prices. The document identifies key chart components and their functions.
Why zika, malaria and ebola should fear analyticsRiaktr
Human travel is the largest cause of epidemic spread, but there is little data available to understand and monitor those moves. Telecom data help solve this issue, as it is unique in terms of size, granularity and mobility insights. This presentation will show you how analytics tools based on telecom data enable aid workers to make smarter decisions, take prompter action and eventually save more lives.
Real Impact Analytics (RIA) has developed an important knowledge on societal issues, epidemic risk flows in particular. It has a proven track record in Zambia for dealing with Malaria and in Western Africa for Ebola, where it supported UNICEF’s action.
Graphs are visual representations of data that help illustrate amounts and relationships. There are several common types of graphs, including pictographs, pie charts, map charts, histograms, bar graphs, and line graphs. Each graph type has distinct features - for example, pictographs use icons to represent quantities, pie charts show data as percentages, and line graphs connect data points with lines. Graphs are useful tools for understanding and analyzing various sets of information.
The document describes the components of an Excel chart and how to create a chart using the Chart Wizard. It discusses the chart area, plot area, axes, titles, grid lines, data series, data points, labels, legends. It provides steps for using the Chart Wizard to select data and create a column chart with options to add titles, axes, gridlines, legends, and data labels. Components of a chart include the chart area, plot area, axes, titles, grid lines, data series, data points, labels, and legends.
This document discusses different types of graphs and charts, their purposes and guidelines for use. It defines the key difference between graphs and charts, with graphs representing relationships between objects and charts representing data through symbols. Common chart types are described like line charts to show changes over time, bar charts to compare categories, and pie charts to show proportions of a whole. The document provides examples and guidelines for effective graph and chart creation.
The document discusses charts and graphs used in business, including their components and purposes. It explains that charts visually represent spreadsheet data in a way that highlights trends and relationships. Charts contain elements like data series, titles, axes, labels, legends and more. Examples of using charts include representing sales trends, expenses, and stock prices. The document identifies key chart components and their functions.
As enterprises and other organizations look to sift through and make sense of the all the structured and unstructured data available to them, dashboards are being positioned as the solution to their problems. However, a dashboard needs special attention to the visual design or the dashboard will fail to meet expectations. If not carefully designed, a new dashboard can leave consumers unsatisfied, frustrated, confused, and even overwhelmed.
Aaron Hursman shares his experiences designing effective dashboards that deliver on the promise of targeted, accessible, and actionable information. He discusses examples from both his personal work and contributions of thought-leaders in this space. Through these examples, he presents practical dashboard design techniques. He also presents effective approaches to take during design and construction. Finally, Aaron explains the challenges and obstacles that dashboard designers face today, and how to mitigate the risks that result.
[Originally presented to RefreshDallas, 16 Oct 2008]
There are four categories of business dashboards that provide different benefits:
1. Traditional performance summary dashboards present summary information and alerts in tables and graphs.
2. Traditional metrics dashboards display metrics and compare actual to goals to track progress toward goals.
3. Dynamic content dashboards allow interactive analysis and embed workflows to assist decision making.
4. Dynamic visualization dashboards display more data using advanced visualizations to improve decision making.
Effective dashboards mirror the user's workflow, allow drilling into data, and can be shared and used offline.
This document discusses learning analytics dashboards and how to design them effectively. It provides examples of existing learning analytics dashboards such as SNAPP, GISMO, and the Student Activity Meter. Common issues with dashboards are outlined, such as having too many screens, inadequate data context, and poor visualizations. The document recommends designing dashboards by reducing non-data elements, enhancing data visualization, and organizing information to support its intended meaning and use.
These slides are from recent talks by Andy Kirk of visualisingdata.com. The subject refers to the many different mindsets or roles that are required to be fulfilled for the effective design of data visualisation.
As enterprises and other organizations look to sift through and make sense of the all the structured and unstructured data available to them, dashboards are being positioned as the solution to their problems. However, a dashboard needs special attention to the visual design or the dashboard will fail to meet expectations. If not carefully designed, a new dashboard can leave consumers unsatisfied, frustrated, confused, and even overwhelmed.
Aaron Hursman shares his experiences designing effective dashboards that deliver on the promise of targeted, accessible, and actionable information. He discusses examples from both his personal work and contributions of thought-leaders in this space. Through these examples, he presents practical dashboard design techniques. He also presents effective approaches to take during design and construction. Finally, Aaron explains the challenges and obstacles that dashboard designers face today, and how to mitigate the risks that result.
[Originally presented to RefreshDallas, 16 Oct 2008]
There are four categories of business dashboards that provide different benefits:
1. Traditional performance summary dashboards present summary information and alerts in tables and graphs.
2. Traditional metrics dashboards display metrics and compare actual to goals to track progress toward goals.
3. Dynamic content dashboards allow interactive analysis and embed workflows to assist decision making.
4. Dynamic visualization dashboards display more data using advanced visualizations to improve decision making.
Effective dashboards mirror the user's workflow, allow drilling into data, and can be shared and used offline.
This document discusses learning analytics dashboards and how to design them effectively. It provides examples of existing learning analytics dashboards such as SNAPP, GISMO, and the Student Activity Meter. Common issues with dashboards are outlined, such as having too many screens, inadequate data context, and poor visualizations. The document recommends designing dashboards by reducing non-data elements, enhancing data visualization, and organizing information to support its intended meaning and use.
These slides are from recent talks by Andy Kirk of visualisingdata.com. The subject refers to the many different mindsets or roles that are required to be fulfilled for the effective design of data visualisation.
1. Analytics
For augmentations more than 400
A complete analytical
dashboard with analytics
ranging from consumers to
mobile phones used, their
location to likes & dislikes will
be provided
1