Data Visualization PREDICTIVE ANALYTICS REPORT

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ANALYSIS

What You Need to Know

  • Breakouts in the Data Visualization predictive analytics are Data analysis, Regression analysis, Data scientists. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are Small multiple, Big Data Software, Python (programming language).
  • By far most employment needs are found in the Computer science, Social media, Data analysis technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: Social media, Project planning, Change management.
  • Social media, Gantt chart, Histogram lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Data Visualization Software, eDiscovery, Data visualization.
  • These three technologies have the most active advertisers: Big Data Software, Social Media Marketing Software, Project planning.
  • In patents, these three technologies have the most coverage Data analysis, Histogram, Medical imaging.
  • The most publications are available for Computer science, Social media, Data analysis.
  • Instruction and courseware availability is highest in these technologies: Social media, Computer science, Data science.

The Data Visualization report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.

The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Data Visualization’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.

The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.

The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.

Predictive Analytics Scores:

029248 – Data analysis
002411 – Regression analysis
000599 – Data scientists
000514 – Big Data Software
000394 – Data Visualization Software
000376 – Data visualization
000303 – Microsoft Power BI
000284 – Run chart
000233 – Data profiling
000216 – eDiscovery
000214 – FiveThirtyEight
000200 – Dundas BI
000194 – Python (programming language)
000184 – Visual analytics
000163 – TIBCO Spotfire
000153 – Computer science
000150 – Keen IO
000130 – Mental image
000129 – Line chart
000126 – Small multiple
000119 – Descriptive statistics
000106 – Data Entry Software
000105 – R (programming language)
000090 – Engineering drawing
000080 – Data science
000061 – Bar Chart
000060 – Medical imaging
000060 – Gantt chart
000057 – Infographic
000057 – Control chart
000052 – Heatmap
000050 – Pareto chart
000034 – Scatter plot
000033 – Business Intelligence
000032 – Social Media Marketing Software
000031 – Exploratory Data Analysis
000030 – Social media
000021 – Histogram
000020 – Change management
000020 – Boxplot
000019 – Treemap
000017 – Organizational psychology
000015 – Scatterplot
000011 – Pie chart
000011 – Mind map
000011 – Business analysis
000008 – Technical drawing
000005 – Project planning
000002 – rx Medical
000000 – Stuart Card
000000 – Sparkline
000000 – Pictogram
000000 – Network chart
000000 – Mike Bostock
000000 – Michael Friendly
000000 – Hadley Wickham
000000 – Cloudcraft
000000 – ClicData
000000 – Area chart


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