Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. Analytics also entails applying data patterns toward effective decision-making. It can be valuable in areas rich with recorded information; analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance.
Web analytics is the measurement, collection, analysis, and reporting of web data to understand and optimize web usage. Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and assess and improve website effectiveness. Web analytics applications can also help companies measure the results of traditional print or broadcast advertising campaigns. It can be used to estimate how traffic to a website changes after launching a new advertising campaign. Web analytics provides information about the number of visitors to a website and the number of page views, or creates user behaviour profiles. It helps gauge traffic and popularity trends, which is useful for market research.
Google Analytics is a web analytics service offered by Google that tracks and reports website traffic and also mobile app traffic and events, currently as a platform inside the Google Marketing Platform brand. Google launched the service in November 2005 after acquiring Urchin.
In computer information systems, a dashboard is a type of graphical user interface which often provides at-a-glance views of data relevant to a particular objective or process through a combination of visualizations and summary information. In other usage, "dashboard" is another name for "progress report" or "report" and is considered a form of data visualization.
Path analysis is the analysis of a path, which is a portrayal of a chain of consecutive events that a given user or cohort performs during a set period of time while using a website, online game, or eCommerce platform. As a subset of behavioral analytics, path analysis is a way to understand user behavior in order to gain actionable insights into the data. Path analysis provides a visual portrayal of every event a user or cohort performs as part of a path during a set period of time.
Operational intelligence (OI) is a category of real-time dynamic, business analytics that delivers visibility and insight into data, streaming events and business operations. OI solutions run queries against streaming data feeds and event data to deliver analytic results as operational instructions. OI provides organizations the ability to make decisions and immediately act on these analytic insights, through manual or automated actions.
Artificial intelligence marketing (AIM) is a form of marketing that uses artificial intelligence concepts and models such as machine learning, natural language processing (NLP), and computer vision to achieve marketing goals. The main difference between AIM and traditional forms of marketing resides in the reasoning, which is performed by a computer algorithm rather than a human.
Smart Eye AB, is a Swedish artificial intelligence (AI) company founded in 1999 and headquartered in Gothenburg, Sweden. Smart Eye develops Human Insight AI, technology that understands, supports and predicts human behavior in complex environments. Smart Eye develops and deploys several core technologies that help gain insights from subtle and nuanced changes in human behavior, reactions and expressions. These technologies include head tracking, eye tracking, facial expression analysis and Emotion AI, activity and object detection, and multimodal sensor data analysis.
Netnography is a "form of qualitative research that seeks to understand the cultural experiences that encompass and are reflected within the traces, practices, networks and systems of social media". It is a specific set of research practices related to data collection, analysis, research ethics, and representation, rooted in participant observation that can be conceptualized into three key stages: investigation, interaction, and immersion. In netnography, a significant amount of the data originates in and manifests through the digital traces of naturally occurring public conversations recorded by contemporary communications networks. Netnography uses these conversations as data. It is an interpretive research method that adapts the traditional, in-person participant observation techniques of anthropology to the study of interactions and experiences manifesting through digital communications.
Lean startup is a methodology for developing businesses and products that aims to shorten product development cycles and rapidly discover if a proposed business model is viable; this is achieved by adopting a combination of business-hypothesis-driven experimentation, iterative product releases, and validated learning. Lean startup emphasizes customer feedback over intuition and flexibility over planning. This methodology enables recovery from failures more often than traditional ways of product development.
Data as a service (DaaS) is a cloud-based software tool used for working with data, such as managing data in a data warehouse or analyzing data with business intelligence. It is enabled by software as a service (SaaS). Like all "as a service" (aaS) technology, DaaS builds on the concept that its data product can be provided to the user on demand, regardless of geographic or organizational separation between provider and consumer. Service-oriented architecture (SOA) and the widespread use of APIs have rendered the platform on which the data resides as irrelevant.
Active users is a software performance metric that is commonly used to measure the level of engagement for a particular software product or object, by quantifying the number of active interactions from users or visitors within a relevant range of time.
Behavioral analytics is a recent advancement in business analytics that reveals new insights into the behavior of consumers on eCommerce platforms, online games, web and mobile applications, and Internet of Things (IoT). The rapid increase in the volume of raw event data generated by the digital world enables methods that go beyond demographics and other traditional metrics that tell us what kind of people took what actions in the past. Behavioral analysis focuses on understanding how consumers act and why, enabling predictions about how they are likely to act in the future. It enables marketers to make the right offers to consumer segments at the right time.
Funnel analysis involves mapping and analyzing a series of events that lead towards a defined goal, like an advertisement-to-purchase journey in online advertising, or the flow that starts with user engagement in a mobile app and ends in a sale on an eCommerce platform. Funnel analyses "are an effective way to calculate conversion rates on specific user behaviors". This can be in the form of a sale, registration, or other intended action from an audience.
User research focuses on understanding user behaviors, needs and motivations through interviews, surveys, usability evaluations and other forms of feedback methodologies. It is used to understand how people interact with products and evaluate whether design solutions meet their needs. This field of research aims at improving the user experience (UX) of products, services, or processes by incorporating experimental and observational research methods to guide the design, development, and refinement of a product. User research is used to improve a multitude of products like websites, mobile phones, medical devices, banking, government services and many more. It is an iterative process that can be used at anytime during product development and is a core part of user-centered design.
Flurry is an American mobile analytics, monetization, and advertising company founded in 2005. The company develops and markets a platform for analyzing consumer interactions with mobile applications, packages for marketers to advertise in-apps, as well as a service for applying monetization structures to mobile apps. Flurry analyzes 150 billion app sessions per month. The company's analytics platform tracks application sessions in iOS, Android, HTML5, and JavaME platforms. Flurry has raised a total of $65 million in funding since its founding and in March 2014 announced that it would partner with Research Now to create a panel database on mobile users. Flurry was acquired by Yahoo! on July 21, 2014 for somewhere between $200 and $300 million.
In the fields of Information Technology (IT) and Systems Management, IT operations analytics (ITOA) is an approach or method to retrieve, analyze, and report data for IT operations. ITOA may apply big data analytics to large datasets to produce business insights. In 2014, Gartner predicted its use might increase revenue or reduce costs. By 2017, it predicted that 15% of enterprises will use IT operations analytics technologies.
Social media analytics or social media monitoring is the process of gathering and analyzing data from social networks such as Facebook, Instagram, LinkedIn, or Twitter. A part of social media analytics is called social media monitoring or social listening. It is commonly used by marketers to track online conversations about products and companies. One author defined it as "the art and science of extracting valuable hidden insights from vast amounts of semi-structured and unstructured social media data to enable informed and insightful decision-making."
A data management platform (DMP) is a software platform used for collecting and managing data. DMPs allow businesses to identify audience segments, which can be used to target specific users and contexts in online advertising campaigns. They may use big data and artificial intelligence algorithms to process and analyze large data sets about users from various sources. Advantages of using DMPs include data organization, increased insight on audiences and markets, and more effective advertisement budgeting. On the other hand, DMPs often have to deal with privacy concerns due to the integration of third-party software with private data. This technology is continuously being developed by global entities such as Nielsen and Oracle.
Click tracking is when user click behavior or user navigational behavior is collected in order to derive insights and fingerprint users. Click behavior is commonly tracked using server logs which encompass click paths and clicked URLs. This log is often presented in a standard format including information like the hostname, date, and username. However, as technology develops, new software allows for in depth analysis of user click behavior using hypervideo tools. Given that the internet can be considered a risky environment, research strives to understand why users click certain links and not others. Research has also been conducted to explore the user experience of privacy with making user personal identification information individually anonymized and improving how data collection consent forms are written and structured.
