Data analytics PREDICTIVE ANALYTICS REPORT

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ANALYSIS

What You Need to Know

  • Breakouts in the Data analytics predictive analytics are Big Data Software, Unstructured data, Crimson Hexagon. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are SalesHandy, Small multiple, SciPy.
  • By far most employment needs are found in the Problem solving, Big data, Business intelligence technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: Problem solving, Business intelligence, Qualitative research.
  • Standard deviation, Big data, Median lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Data Visualization Software, eDiscovery, Predictive analytics.
  • These three technologies have the most active advertisers: Business intelligence, Social Media Marketing Software, Content Marketing Software.
  • In patents, these three technologies have the most coverage Median, Standard deviation, Test method.
  • The most publications are available for Problem solving, Standard deviation, Probability distribution.
  • Instruction and courseware availability is highest in these technologies: Big data, Data science, Machine learning.

A black swan is an event, positive or negative, that is deemed improbable yet causes massive consequences. In this groundbreaking and prophetic Data analytics report, Blokdijk shows in a playful way that Black Swan Data analytics events explain almost everything about Data analytics, and yet we-especially the experts-are blind to them. In this Data analytics Predictive Analytics Report, Blokdijk offers tools to navigate and exploit a Black Swan Data analytics world.

Download Data analytics Report and Get Started

Download Data analytics Report and Get Started


The Data analytics 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.

Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics is used in many industries to allow companies and organization to make better business decisions and in the sciences to verify or disprove existing models or theories.

The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Data analytics’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:

000545 – Big Data Software
000478 – Unstructured data
000426 – Crimson Hexagon
000425 – Alteryx
000394 – Problem solving
000373 – Data visualization
000364 – Statistical inference
000351 – Data integrity
000348 – Datameer
000346 – Data governance
000343 – Big data
000335 – SciPy
000328 – Data science
000308 – Data Visualization Software
000304 – Run chart
000303 – Missing data
000291 – Data validation
000280 – Test method
000270 – Lex Machina
000266 – Host Analytics
000262 – Simply Measured
000246 – eDiscovery
000241 – Hosted Elasticsearch
000231 – Median
000228 – Predictive analytics
000228 – Machine learning
000198 – Data loss
000184 – Data quality
000181 – TIBCO Spotfire
000181 – Data wrangling
000169 – ANCOVA
000164 – KNIME
000163 – Randomization
000163 – Hypothesis testing
000162 – Keen IO
000161 – Text analytics
000161 – Table (information)
000155 – Data security
000144 – Inferential statistics
000130 – Content Marketing Software
000127 – Descriptive statistics
000126 – Data Entry Software
000125 – Data system
000124 – Line chart
000120 – Pentaho
000105 – R (programming language)
000103 – Data integration
000101 – RapidMiner
000083 – Small multiple
000083 – rx Medical
000077 – Propensity score matching
000076 – Scatter plot
000075 – Data (computing)
000069 – Bar chart
000065 – Process theory
000061 – Pareto chart
000060 – ANOVA
000059 – Computer data storage
000056 – Normal distribution
000055 – Sensitivity analysis
000052 – Financial statement analysis
000049 – T test
000049 – Standard deviation
000049 – Data editing
000049 – Control chart
000047 – Measuring instrument
000032 – Regression analysis
000031 – Exploratory data analysis
000031 – Business intelligence
000029 – Scatterplot
000020 – Histogram
000020 – Cognitive bias
000020 – Boxplot
000019 – Generalized linear model
000016 – Sparkline
000014 – Probability distribution
000013 – Data scraping
000010 – Pie chart
000005 – Qualitative research
000000 – Type I and type II errors
000000 – Type 1 error
000000 – Social Media Marketing Software
000000 – SalesHandy
000000 – Response rate (survey)
000000 – Mutually exclusive events
000000 – eDiscovery Point
000000 – Doing Data Science
000000 – Confirmation bias
000000 – CloudCherry Analytics
000000 – Area chart

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