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Analytics: Data Analysis for Insights

📊 Analytics: Data Analysis for Insights

Systematic Computational Analysis

  • Analytics involves the systematic computational analysis of data and statistics.
  • Its primary goal is the discovery, interpretation, and communication of meaningful data patterns.
  • It supports effective decision-making by applying these identified patterns.
  • Analytics draws heavily from statistics, computer programming, and operations research.
Analytics Adoption Across Key Industries

📊 Analytics Adoption Across Key Industries

Estimated Prevalence by Sector (2024)

Deloitte Analytics and AI Survey 2024

Key Milestones in Google Analytics Evolution

📊 Key Milestones in Google Analytics Evolution

From Urchin Acquisition to GA4 Dominance

Google Analytics Help: Universal Analytics sunset, 2023-2024

Five Key Types of Analytics

🔍 Five Key Types of Analytics

From Description to Cognition

  • Descriptive analytics summarizes past events to understand what happened.
  • Diagnostic analytics delves deeper to explain why certain events occurred.
  • Predictive analytics uses historical data to forecast future outcomes.
  • Prescriptive analytics suggests actions to influence future results.
  • Cognitive analytics combines AI and machine learning for human-like reasoning.
Broad Industry Applications

🏢 Broad Industry Applications

Diverse Sector Impact

  • Analytics is widely applied across various fields rich in recorded information.
  • Key sectors include marketing, management, and finance.
  • It's also crucial in online systems, information security, and software services.
  • Organizations use analytics to describe, predict, and improve business performance.
Foundation in Computer Science

💻 Foundation in Computer Science

Leveraging Modern Methods

  • Analytics requires extensive computation, often dealing with big data.
  • Algorithms and software harness current methods from computer science.
  • Statistics provide the mathematical framework for data interpretation.
  • Operations research contributes to optimizing processes and decision-making.
Growing Global Analytics Market

💰 Growing Global Analytics Market

$215.7 Billion in 2021

  • Global spending on big data and business analytics (BDA) solutions reached $215.7 billion in 2021.
  • The overall analytic platforms software market grew by $25.5 billion in 2020.
  • These figures highlight the significant and expanding investment in analytics technologies.
  • Industry growth is driven by the increasing need for data-driven decision-making.
Global Business Analytics Market Size & Growth

📊 Global Business Analytics Market Size & Growth

2020-2022 Data (USD Billions)

IDC Worldwide Big Data and Business Analytics Spending Guide, September 2021

Google Analytics Dominance

🌐 Google Analytics Dominance

Launched November 2005

  • Google Analytics is a widely used web analytics service, free of charge.
  • It tracks and reports website traffic, user behavior, and mobile app usage.
  • The service was launched in November 2005 after Google acquired Urchin.
  • It is a platform within the Google Marketing Platform brand.
Transition to Google Analytics 4 (GA4)

🔄 Transition to Google Analytics 4 (GA4)

Replaced Universal Analytics

  • GA4 is the 4th iteration of Google Analytics, succeeding Universal Analytics (UA).
  • It became the default Google Analytics installation, first released as (App + Web) Property in 2019.
  • A notable feature of GA4 is its natural integration with Google's BigQuery.
  • This integration indicates Google's efforts to unify analytics with its cloud offerings.
Universal Analytics Access Ended

🗓️ Universal Analytics Access Ended

July 1, 2024

  • Universal Analytics stopped collecting new data on July 1, 2023.
  • As of July 1, 2024, all users, including GA 360, lost access to their Universal Analytics properties.
  • This marks a complete transition to Google Analytics 4 as the primary analytics platform.
  • Users were advised to migrate their data and tracking to GA4 before the deadlines.
Sports Analytics Gains Popularity

🏟️ Sports Analytics Gains Popularity

Moneyball Effect

  • Sports analytics uses historical statistics to provide a competitive advantage.
  • It informs players, coaches, and staff for better decision-making during and before events.
  • The term gained mainstream recognition following the 2011 film 'Moneyball'.
  • It builds upon established practices like Sabermetrics in baseball.
On-Field Sports Performance

⚾ On-Field Sports Performance

Improving Player & Team Play

  • On-field analytics focuses on enhancing the performance of teams and individual players.
  • It addresses questions like player contributions and identifying top performers.
  • Advanced statistics and machine learning are utilized to evaluate performance.
  • Technology advancements enable more in-depth and easier data collection for on-field analysis.
Off-Field Sports Business

📈 Off-Field Sports Business

Fan Engagement & Sales

  • Off-field analytics targets the business side of sports organizations.
  • It helps identify patterns to increase ticket and merchandise sales.
  • A key goal is improving fan engagement and marketing strategies.
  • Data insights enable rights-holders to make decisions leading to growth and profitability.
Analytics Impact on Sports Betting

🎲 Analytics Impact on Sports Betting

Informing Wagers

  • In-depth sports analytics has significantly impacted professional sports betting.
  • Bettors now have unprecedented access to information for decision-making.
  • Companies and webpages provide up-to-date data for fantasy sports and nightly wagers.
  • This enhances the sophistication and engagement within the sports gambling sector.
Safeguarding Data in Analytics

🔒 Safeguarding Data in Analytics

User Control & Privacy

  • Google Analytics offers tools for users to control how their data is collected.
  • These tools help manage whether data is used for advertising purposes.
  • An opt-out browser add-on is available for Chrome, Safari, Firefox, and Microsoft Edge.
  • Data privacy and control are essential aspects of modern analytics services.