Misplaced Pages

Adobe Experience Cloud

Article snapshot taken from Wikipedia with creative commons attribution-sharealike license. Give it a read and then ask your questions in the chat. We can research this topic together.

Adobe Experience Cloud ( AEC ), formerly Adobe Marketing Cloud ( AMC ), is a collection of integrated online marketing and web analytics products by Adobe .

#902097

53-583: Adobe Experience Cloud is a comprehensive suite that encompasses analytics , social , advertising , media optimization, targeting , web experience management , journey orchestration, and content management services, hosted on Microsoft Azure . The suite, initially known as Adobe Marketing Cloud, was unveiled in October 2012 as part of Adobe's strategy to phase out the Omniture brand, which it had acquired in October 2009. The suite integrates products from

106-610: A company specializing in online marketing and web analytics based in Orem, Utah. The acquisition, valued at $ 1.8 billion, was finalized on October 23, 2009. Post-acquisition, Omniture 's offerings were progressively integrated into what is now known as Adobe's Digital Marketing Business Unit, alongside other acquisitions such as Day Software and Efficient Frontier. In an effort to enhance its marketing cloud's capabilities, Adobe acquired Satellite TMS from Search Discovery in 2013 and rebranded it as Adobe Dynamic Tag Management (Adobe DTM), laying

159-437: A decrease in the number of academic disciplines. One key question is how well the challenge can be decomposed into subparts, and then addressed via the distributed knowledge in the community. The lack of shared vocabulary between people and communication overhead can sometimes be an issue in these communities and projects. If challenges of a particular type need to be repeatedly addressed so that each one can be properly decomposed,

212-599: A more strategic and capable business function in the evolving world of work, rather than producing basic reports that offer limited long-term value. Some experts argue that a change in the way HR departments operate is essential. Although HR functions were traditionally centered on administrative tasks, they are now evolving with a new generation of data-driven HR professionals who serve as strategic business partners. Examples of HR analytic metrics include employee lifetime value (ELTV), labour cost expense percent, union percentage, etc. A common application of business analytics

265-415: A multidisciplinary community can be exceptionally efficient and effective. There are many examples of a particular idea appearing in different academic disciplines, all of which came about around the same time. One example of this scenario is the shift from the approach of focusing on sensory awareness of the whole, "an attention to the 'total field ' ", a "sense of the whole pattern, of form and function as

318-416: A portfolio of brands and the marketing mix) and more tactical campaign support, in terms of targeting the best potential customer with the optimal message in the most cost-effective medium at the ideal time. People analytics uses behavioral data to understand how people work and change how companies are managed. It can be referred to by various names, depending on the context, the purpose of the analytics, or

371-516: A scale, around a norm, hierarchize individuals in relation to one another and, if necessary, disqualify and invalidate." (Foucault, 1975/1979, p. 223) Communities of academic disciplines can be found outside academia within corporations, government agencies, and independent organizations, where they take the form of associations of professionals with common interests and specific knowledge. Such communities include corporate think tanks , NASA , and IUPAC . Communities such as these exist to benefit

424-661: A specific academic discipline, are classified as generalists . While academic disciplines in and of themselves are more or less focused practices, scholarly approaches such as multidisciplinarity/interdisciplinarity , transdisciplinarity , and cross-disciplinarity integrate aspects from multiple academic disciplines, therefore addressing any problems that may arise from narrow concentration within specialized fields of study. For example, professionals may encounter trouble communicating across academic disciplines because of differences in language, specified concepts, or methodology. Some researchers believe that academic disciplines may, in

477-456: A study involving districts known for strong data use, 48% of teachers had difficulty posing questions prompted by data, 36% did not comprehend given data, and 52% incorrectly interpreted data. To combat this, some analytics tools for educators adhere to an over-the-counter data format (embedding labels, supplemental documentation, and a help system, and making key package/display and content decisions) to improve educators' understanding and use of

530-418: A transdisciplinary team is more holistic and seeks to relate all disciplines into a coherent whole. Cross-disciplinary knowledge is that which explains aspects of one discipline in terms of another. Common examples of cross-disciplinary approaches are studies of the physics of music or the politics of literature . Bibliometrics can be used to map several issues in relation to disciplines, for example,

583-445: A unity", an "integral idea of structure and configuration". This has happened in art (in the form of cubism), physics, poetry, communication and educational theory. According to Marshall McLuhan , this paradigm shift was due to the passage from the era of mechanization, which brought sequentiality, to the era of the instant speed of electricity, which brought simultaneity. Multidisciplinary approaches also encourage people to help shape

SECTION 10

#1732801785903

636-443: A variety of fields such as marketing , management , finance , online systems, information security , and software services . 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. According to International Data Corporation , global spending on big data and business analytics (BDA) solutions

689-815: A website using an operation called sessionization . Google Analytics is an example of a popular free analytics tool that marketers use for this purpose. Those interactions provide web analytics information systems with the information necessary to track the referrer, search keywords, identify the IP address, and track the activities of the visitor. With this information, a marketer can improve marketing campaigns, website creative content, and information architecture. Analysis techniques frequently used in marketing include marketing mix modeling, pricing and promotion analyses, sales force optimization and customer analytics e.g.: segmentation. Web analytics and optimization of websites and online campaigns now frequently work hand in hand with

742-408: Is portfolio analysis . In this, a bank or lending agency has a collection of accounts of varying value and risk . The accounts may differ by the social status (wealthy, middle-class, poor, etc.) of the holder, the geographical location, its net value, and many other factors. The lender must balance the return on the loan with the risk of default for each loan. The question is then how to evaluate

795-416: Is a separate discipline to HR analytics, with a greater focus on addressing business issues, while HR Analytics is more concerned with metrics related to HR processes. Additionally, people analytics may now extend beyond the human resources function in organizations. However, experts find that many HR departments are burdened by operational tasks and need to prioritize people analytics and automation to become

848-458: Is estimated to reach $ 215.7 billion in 2021. As per Gartner , the overall analytic platforms software market grew by $ 25.5 billion in 2020. Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in

901-411: Is in a constant state of change. Such data sets are commonly referred to as big data . Whereas once the problems posed by big data were only found in the scientific community, today big data is a problem for many businesses that operate transactional systems online and, as a result, amass large volumes of data quickly. The analysis of unstructured data types is another challenge getting attention in

954-427: Is made up of people from different academic disciplines and professions. These people are engaged in working together as equal stakeholders in addressing a common challenge. A multidisciplinary person is one with degrees from two or more academic disciplines. This one person can take the place of two or more people in a multidisciplinary community. Over time, multidisciplinary work does not typically lead to an increase or

1007-597: Is the introduction of grid-like architecture in machine analysis, allowing increases in the speed of massively parallel processing by distributing the workload to many computers all with equal access to the complete data set. Analytics is increasingly used in education , particularly at the district and government office levels. However, the complexity of student performance measures presents challenges when educators try to understand and use analytics to discern patterns in student performance, predict graduation likelihood, improve chances of student success, etc. For example, in

1060-455: Is tracked and that data is used for marketing purposes. Even banner ads and clicks come under digital analytics. A growing number of brands and marketing firms rely on digital analytics for their digital marketing assignments, where MROI (Marketing Return on Investment) is an important key performance indicator (KPI). Security analytics refers to information technology (IT) to gather security events to understand and analyze events that pose

1113-408: The scientific disciplines (such as physics , chemistry , and biology ), the formal sciences like mathematics and computer science ; the social sciences are sometimes considered a fourth category. Individuals associated with academic disciplines are commonly referred to as experts or specialists . Others, who may have studied liberal arts or systems theory rather than concentrating in

SECTION 20

#1732801785903

1166-420: The acquired company, Omniture , along with other services into a unified cloud service. This integration includes eight main applications: Adobe Analytics, Adobe Target, Adobe Social, Adobe Experience Manager, Adobe Media Optimizer, Adobe Campaign (both Classic and Standard versions), Audience Manager, and Primetime . On September 15, 2009, Adobe Systems announced its intention to purchase Omniture , Inc.,

1219-422: The analytics being displayed. Risks for the general population include discrimination on the basis of characteristics such as gender, skin colour, ethnic origin or political opinions, through mechanisms such as price discrimination or statistical discrimination . Academic discipline An academic discipline or academic field is a subdivision of knowledge that is taught and researched at

1272-418: The arts and social sciences. Communities of academic disciplines would contribute at varying levels of importance during different stages of development. These categories explain how the different academic disciplines interact with one another. Multidisciplinary (or pluridisciplinary) knowledge is associated with more than one existing academic discipline or profession. A multidisciplinary community or project

1325-557: The benefit of all societies' growth and wellbeing. Regional examples such as Biopeople and industry-academia initiatives in translational medicine such as SHARE.ku.dk in Denmark provide evidence of the successful endeavour of multidisciplinary innovation and facilitation of the paradigm shift. In practice, transdisciplinary can be thought of as the union of all interdisciplinary efforts. While interdisciplinary teams may be creating new knowledge that lies between several existing disciplines,

1378-418: The changing labor markets, using career analytics tools. The aim is to discern which employees to hire, which to reward or promote, what responsibilities to assign, and similar human resource problems. For example, inspection of the strategic phenomenon of employee turnover utilizing people analytics tools may serve as an important analysis at times of disruption. It has been suggested that people analytics

1431-418: The college or university level. Disciplines are defined (in part) and recognized by the academic journals in which research is published, and the learned societies and academic departments or faculties within colleges and universities to which their practitioners belong. Academic disciplines are conventionally divided into the humanities (including philosophy , language , art and cultural studies ),

1484-694: The current physical sciences. Prior to the twentieth century, few opportunities existed for science as an occupation outside the educational system. Higher education provided the institutional structure for scientific investigation, as well as economic support for research and teaching. Soon, the volume of scientific information rapidly increased and researchers realized the importance of concentrating on smaller, narrower fields of scientific activity. Because of this narrowing, scientific specializations emerged. As these specializations developed, modern scientific disciplines in universities also improved their sophistication. Eventually, academia's identified disciplines became

1537-554: The discovery that one company was illegally selling fraudulent doctor's notes in order to assist people in defrauding employers and insurance companies is an opportunity for insurance firms to increase the vigilance of their unstructured data analysis . These challenges are the current inspiration for much of the innovation in modern analytics information systems, giving birth to relatively new machine analysis concepts such as complex event processing , full text search and analysis, and even new ideas in presentation. One such innovation

1590-433: The early twentieth century, new academic disciplines such as education and psychology were added. In the 1970s and 1980s, there was an explosion of new academic disciplines focusing on specific themes, such as media studies , women's studies , and Africana studies . Many academic disciplines designed as preparation for careers and professions, such as nursing , hospitality management , and corrections , also emerged in

1643-446: The flow of ideas within and among disciplines (Lindholm-Romantschuk, 1998) or the existence of specific national traditions within disciplines. Scholarly impact and influence of one discipline on another may be understood by analyzing the flow of citations. The Bibliometrics approach is described as straightforward because it is based on simple counting. The method is also objective but the quantitative method may not be compatible with

Adobe Experience Cloud - Misplaced Pages Continue

1696-563: The foundations for scholars of specific specialized interests and expertise. An influential critique of the concept of academic disciplines came from Michel Foucault in his 1975 book, Discipline and Punish . Foucault asserts that academic disciplines originate from the same social movements and mechanisms of control that established the modern prison and penal system in eighteenth-century France , and that this fact reveals essential aspects they continue to have in common: "The disciplines characterize, classify, specialize; they distribute along

1749-426: The future based on the previous data. Data analytics is used to formulate larger organizational decisions. Data analytics is a multidisciplinary field. There is extensive use of computer skills, mathematics, statistics, the use of descriptive techniques and predictive models to gain valuable knowledge from data through analytics. There is increasing use of the term advanced analytics , typically used to describe

1802-549: The future, be replaced by what is known as Mode 2 or "post-academic science", which involves the acquisition of cross-disciplinary knowledge through the collaboration of specialists from various academic disciplines. It is also known as a field of study , field of inquiry , research field and branch of knowledge . The different terms are used in different countries and fields. The University of Paris in 1231 consisted of four faculties : Theology , Medicine , Canon Law and Arts . Educational institutions originally used

1855-418: The greatest security risks. Products in this area include security information and event management and user behavior analytics. Software analytics is the process of collecting information about the way a piece of software is used and produced. In the industry of commercial analytics software, an emphasis has emerged on solving the challenges of analyzing massive, complex data sets, often when such data

1908-547: The groundwork for Adobe Launch. Introduced in 2018, Adobe Launch represents the next evolution in tag management systems developed by the company. Adobe announced the acquisition of Magento for $ 1.68 billion on May 21, 2018. This acquisition aimed to incorporate commerce features into the Adobe Experience Cloud. Later that same year, on September 20, Adobe proceeded to acquire Marketo , a marketing automation company. By 2021, Adobe Experience Platform Launch

1961-515: The industry. Unstructured data differs from structured data in that its format varies widely and cannot be stored in traditional relational databases without significant effort at data transformation. Sources of unstructured data, such as email, the contents of word processor documents, PDFs, geospatial data , etc., are rapidly becoming a relevant source of business intelligence for businesses, governments and universities. For example, in Britain

2014-608: The innovation of the future. The political dimensions of forming new multidisciplinary partnerships to solve the so-called societal Grand Challenges were presented in the Innovation Union and in the European Framework Programme, the Horizon 2020 operational overlay. Innovation across academic disciplines is considered the pivotal foresight of the creation of new products, systems, and processes for

2067-431: The interest rate charged to members of a portfolio segment to cover any losses among members in that segment. Predictive models in the banking industry are developed to bring certainty across the risk scores for individual customers. Credit scores are built to predict an individual's delinquency behavior and are widely used to evaluate the credit worthiness of each applicant. Furthermore, risk analyses are carried out in

2120-400: The more traditional marketing analysis techniques. A focus on digital media has slightly changed the vocabulary so that marketing mix modeling is commonly referred to as attribution modeling in the digital or marketing mix modeling context. These tools and techniques support both strategic marketing decisions (such as how much overall to spend on marketing, how to allocate budgets across

2173-458: The organizations affiliated with them by providing specialized new ideas, research, and findings. Nations at various developmental stages will find the need for different academic disciplines during different times of growth. A newly developing nation will likely prioritize government, political matters and engineering over those of the humanities, arts and social sciences. On the other hand, a well-developed nation may be capable of investing more in

Adobe Experience Cloud - Misplaced Pages Continue

2226-806: The outcomes of campaigns or efforts, and to guide decisions for investment and consumer targeting. Demographic studies, customer segmentation, conjoint analysis and other techniques allow marketers to use large amounts of consumer purchase, survey and panel data to understand and communicate marketing strategy. Marketing analytics consists of both qualitative and quantitative, structured and unstructured data used to drive strategic decisions about brand and revenue outcomes. The process involves predictive modelling, marketing experimentation, automation and real-time sales communications. The data enables companies to make predictions and alter strategic execution to maximize performance results. Web analytics allows marketers to collect session-level information about interactions on

2279-524: The political science field (emphasizing the policy analysis aspect). As the twentieth century approached, these designations were gradually adopted by other countries and became the accepted conventional subjects. However, these designations differed between various countries. In the twentieth century, the natural science disciplines included: physics , chemistry , biology , geology , and astronomy . The social science disciplines included: economics , politics , sociology , and psychology . Prior to

2332-466: The portfolio as a whole. The least risk loan may be to the very wealthy, but there are a very limited number of wealthy people. On the other hand, there are many poor that can be lent to, but at greater risk. Some balance must be struck that maximizes return and minimizes risk. The analytics solution may combine time series analysis with many other issues in order to make decisions on when to lend money to these different borrower segments, or decisions on

2385-484: The scientific world and the insurance industry. It is also extensively used in financial institutions like online payment gateway companies to analyse if a transaction was genuine or fraud. For this purpose, they use the transaction history of the customer. This is more commonly used in Credit Card purchases, when there is a sudden spike in the customer transaction volume the customer gets a call of confirmation if

2438-418: The simultaneous application of statistics , computer programming , and operations research to quantify performance. Organizations may apply analytics to business data to describe, predict, and improve business performance. Specifically, areas within analytics include descriptive analytics, diagnostic analytics, predictive analytics , prescriptive analytics , and cognitive analytics. Analytics may apply to

2491-435: The specific focus of the analysis. Some examples include workforce analytics, HR analytics, talent analytics, people insights, talent insights, colleague insights, human capital analytics, and human resources information system (HRIS) analytics. HR analytics is the application of analytics to help companies manage human resources . HR analytics has become a strategic tool in analyzing and forecasting human-related trends in

2544-498: The technical aspects of analytics, especially in the emerging fields such as the use of machine learning techniques like neural networks , decision trees, logistic regression, linear to multiple regression analysis , and classification to do predictive modeling . It also includes unsupervised machine learning techniques like cluster analysis , principal component analysis , segmentation profile analysis and association analysis. Marketing organizations use analytics to determine

2597-721: The term "discipline" to catalog and archive the new and expanding body of information produced by the scholarly community. Disciplinary designations originated in German universities during the beginning of the nineteenth century. Most academic disciplines have their roots in the mid-to-late-nineteenth century secularization of universities, when the traditional curricula were supplemented with non-classical languages and literatures , social sciences such as political science , economics , sociology and public administration , and natural science and technology disciplines such as physics , chemistry , biology , and engineering . In

2650-456: The transaction was initiated by him/her. This helps in reducing loss due to such circumstances. Digital analytics is a set of business and technical activities that define, create, collect, verify or transform digital data into reporting, research, analyses, recommendations, optimizations, predictions, and automation. This also includes the SEO ( search engine optimization ) where the keyword search

2703-424: The twentieth century, categories were broad and general, which was expected due to the lack of interest in science at the time. With rare exceptions, practitioners of science tended to be amateurs and were referred to as "natural historians" and "natural philosophers"—labels that date back to Aristotle—instead of "scientists". Natural history referred to what we now call life sciences and natural philosophy referred to

SECTION 50

#1732801785903

2756-446: The universities. Finally, interdisciplinary scientific fields of study such as biochemistry and geophysics gained prominence as their contribution to knowledge became widely recognized. Some new disciplines, such as public administration , can be found in more than one disciplinary setting; some public administration programs are associated with business schools (thus emphasizing the public management aspect), while others are linked to

2809-646: Was slated to be integrated into the Adobe Experience Platform as part of a broader suite of data collection technologies. Analytics 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

#902097