"Analytics is the systematic computational analysis of data or statistics."
Measuring and analyzing the success of digital media campaigns through data analysis and tools like Google Analytics and Hootsuite.
Data Collection and Storage: Understanding the importance of collecting, storing and organizing data for analysis.
Web Analytics: Understanding traffic sources, bounce rates, conversion rates, and other web analytics measures.
Social Media Analytics: Measuring audience engagement on social media channels, including growth rates, reach, and impressions, and analyzing user behavior on social platforms.
Search Engine Optimization: Understanding how search engines, keywords, and link building contribute to page ranking and traffic.
Email Marketing metrics: Analyzing email open rates, clickthrough rates, conversions, and list growth, in order to improve email campaign success.
Multi-Channel Attribution: Understanding how different online and offline channels contribute to the customer journey and measuring the impact each has on conversions.
Data Visualization: Creating compelling data visualizations using tools like Tableau, Google Data Studio or Excel, in order to present data in an easy-to-grasp format.
A/B Testing: Conducting experiments to determine what works best, and using evidence-based decision-making to optimize business results.
Customer Analytics: Understanding the customer's behavior and preferences, using data analysis to improve customer targeting and personalization.
Time Series Analysis: Using historical data to understand trends over time and predict future outcomes.
Exploratory Data Analysis: Using data visualization techniques to explore and understand data patterns, often to identify significant insights.
Predictive Modeling: Developing models to predict future results by analyzing historical data.
Machine Learning: Using advanced algorithms to sift through large and complex datasets to develop models for automated predictions or decision-making.
Dashboard Reporting: Creating dashboards that enable real-time tracking of key metrics and performance indicators.
Data Security: Understanding the importance of data security in protecting customer data and ensuring privacy.
Social media analytics: This type of analytics tracks the performance of social media posts and campaigns. It can measure engagement, brand reach, impressions, and click-through rates on different social media platforms.
Web analytics: Also known as digital analytics, measures website traffic and user behavior such as time spent on the site, page views, and bounce rates.
Email marketing analytics: This type of analytics tracks the performance of email marketing campaigns, such as open rates, click-through rates, and email deliverability.
Content marketing analytics: Measures the performance of different types of content, such as blogs, videos, and infographics. It can track engagement, views, shares, and likes.
Search engine analytics: Determines the success of a website's search engine optimization (SEO) efforts by measuring performance metrics such as organic traffic, click-through rates, and keyword rankings.
Video analytics: Measures the performance of video content, including views, engagement, clicks, and watch duration.
Mobile app analytics: Measures the performance of mobile apps, including downloads, usage, and in-app purchases.
Advertising analytics: Tracks the performance of advertising campaigns, including impressions, clicks, conversions, and cost-per-click.
Public relations analytics: Measures the effectiveness of public relations efforts, including media coverage, sentiment, and brand mentions.
Conversion rate optimization: Measures the effectiveness of website or landing page in converting visitors into customers or subscribers based on the analysis of user behavior on a site.
Customer analytics: Measures customer behavior such as engagement, lifetime value, and purchase history.
Competitor analytics: Measures a company's competitors, including market share, web traffic, social media engagement, and advertising efforts.
Lead generation analytics: Measures the success of lead generation campaigns, including the number of leads generated and conversion rates.
Influencer analytics: Measures the impact of influencer marketing campaigns, including engagement rates and reach.
Sentiment analysis: Analyzes social media posts and comments to determine the sentiment of the posts towards the brand or product.
"It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns toward effective decision-making."
"Analytics may apply to a variety of fields such as marketing, management, finance, online systems, information security, and software services."
"Analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance."
"Specifically, areas within analytics include descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, and cognitive analytics."
"Global spending on big data and business analytics (BDA) solutions is estimated to reach $215.7 billion in 2021."
"Analytics harness the most current methods in computer science, statistics, and mathematics."
"Organizations may apply analytics to business data to describe, predict, and improve business performance."
"It also entails applying data patterns toward effective decision-making."
"It can be valuable in areas rich with recorded information."
"Since analytics can require extensive computation (see big data), the algorithms and software used for analytics harness the most current methods in computer science, statistics, and mathematics."
"The overall analytic platforms software market grew by $25.5 billion in 2020."
"Areas within analytics include descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, and cognitive analytics."
"Analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance."
"Analytics may apply to a variety of fields such as marketing, management, finance, online systems, information security, and software services."
"Areas within analytics include descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, and cognitive analytics."
"Areas within analytics include descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, and cognitive analytics."
"Organizations may apply analytics to business data to describe, predict, and improve business performance."
"The algorithms and software used for analytics harness the most current methods in computer science, statistics, and mathematics."
"Global spending on big data and business analytics (BDA) solutions is estimated to reach $215.7 billion in 2021."