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Data Technology
Data technology (may be shortened to DataTech or DT) is the technology connected to areas such as martech or adtech. Data technology sector includes solutions for data management, and products or services that are based on data generated by both human and machines. DataTech is an emerging industry that uses Artificial Intelligence, Big Data analysis and Machine Learning algorithms to improve business activities in various sectors, such as digital marketing, or business analysis (e.g. predictive analytics). Key areas Data technology has been used to manage big data sets, build solutions for data management and integrate data from various sources to discover new business or analytical insights from collected information. Growing global amount of generated data (the number is forecast to reach 163 zettabytes in 2025) determines spendings on technologies that help control data assets. The big data market is expected to reach $156.72 billion by 2026. Spendings on data, including d ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Ad Tech
Advertising is the practice and techniques employed to bring attention to a product or service. Advertising aims to put a product or service in the spotlight in hopes of drawing it attention from consumers. It is typically used to promote a specific good or service, but there are wide range of uses, the most common being the commercial advertisement. Commercial advertisements often seek to generate increased consumption of their products or services through "branding", which associates a product name or image with certain qualities in the minds of consumers. On the other hand, ads that intend to elicit an immediate sale are known as direct-response advertising. Non-commercial entities that advertise more than consumer products or services include political parties, interest groups, religious organizations and governmental agencies. Non-profit organizations may use free modes of persuasion, such as a public service announcement. Advertising may also help to reassure employees ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Customer Data Platform
A customer data platform (CDP) is a collection of software which creates a persistent, unified customer database that is accessible to other systems. Data is pulled from multiple sources, cleaned and combined to create a single customer profile Customer relationship management (CRM) is a process in which a business or other organization administers its interactions with customers, typically using data analysis to study large amounts of information. CRM systems compile data from a r .... This structured data is then made available to other marketing systems. According to Gartner, customer data platforms have evolved from a variety of mature markets, "including multichannel campaign management, tag management and data integration." Capabilities Commonalities across CDPs: * marketer-managed; * unified, persistent, single database for customer behavioral, profile and other data, from any internal or external source; * consistent identifier that links all of a customer's data; ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Business Analysis
Business analysis is a professional discipline of identifying business needs and determining solutions to business problems. Solutions often include a software-systems development component, but may also consist of process improvements, organizational change or strategic planning and policy development. The person who carries out this task is called a business analyst or BA. Business analysts do not work solely on developing software systems. But work across the organisation, solving business problems in consultation with business stakeholders. Whilst most of the work that business analysts do today relate to software development/solutions, this derives from the ongoing massive changes businesses all over the world are experiencing in their attempts to digitise. Although there are different role definitions, depending upon the organization, there does seem to be an area of common ground where most business analysts work. The responsibilities appear to be: * To investigate busi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Internet Of Things
The Internet of things (IoT) describes physical objects (or groups of such objects) with sensors, processing ability, software and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks. Internet of things has been considered a misnomer because devices do not need to be connected to the public internet, they only need to be connected to a network and be individually addressable. The field has evolved due to the convergence of multiple technologies, including ubiquitous computing, commodity sensors, increasingly powerful embedded systems, as well as machine learning.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring Aerospace Science and Technology, 2022. Traditional fields of embedded systems, wireless sensor networks, control systems, automation (including home and building automation), independently ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Demand-side Platform
A demand-side platform (DSP) is a system that allows buyers of digital advertising inventory to manage multiple ad exchange and data exchange accounts through one interface. Real-time bidding for displaying online advertising takes place within the ad exchanges, and by utilizing a DSP, marketers can manage their bids for the banners and the pricing for the data that they are layering on to target their audiences. Much like Paid Search, using DSPs allows users to optimize based on set Key Performance Indicators such as effective cost per click (eCPC), and effective cost per action (eCPA). The functionality of the DSP often depends on the format of the media. For example, DSPs that advertise online can see how people behave after viewing an ad, whereas this is not be possible in outdoor advertising or television and radio, where the advertising constitutes a one-to-many approach. DSPs incorporate many of the facets previously offered by advertising networks, such as wide access t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Customer Data
Customer data or consumer data refers to all personal, behavioural, and demographic data that is collected by marketing companies and departments from their customer base. To some extent, data collection from customers intrudes into customer privacy, the exact limits to the type and amount of data collected need to be regulated. The data collected is processed in customer analytics. The data collection is thus aimed at insights into customer behaviour (buying decisions, etc.) and, eventually, profit maximization by consolidation and expansion of the customer base. In the internet age, a prominent method for collecting customer data is through explicit online surveys, but also through concealed methods like measurement of click-through and abandonment rates. Customer data is gathered for customer research, especially customer satisfaction research and purportedly serves to increase overall customer satisfaction. Levels of information A possible classification of business custome ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Customer-relationship Management
Customer relationship management (CRM) is a process in which a business or other organization administers its interactions with customers, typically using data analysis to study large amounts of information. CRM systems compile data from a range of different communication channels, including a company's website, telephone, email, live chat, marketing materials and more recently, social media. They allow businesses to learn more about their target audiences and how to best cater for their needs, thus retaining customers and driving sales growth. CRM may be used with past, present or potential customers. The concepts, procedures, and rules that a corporation follows when communicating with its consumers are referred to as CRM. This complete connection covers direct contact with customers, such as sales and service-related operations, forecasting, and the analysis of consumer patterns and behaviors, from the perspective of the company. According to Gartner, the global CRM market ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Integration
Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users. The data being integrated must be received from a heterogeneous database system and transformed to a single coherent data store that provides synchronous data across a network of files for clients. A common use of data integration is in data mining when analyzing and extracting informat ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Management Platform
A data management platform (DMP) is a software platform used for collecting and managing data. They allow businesses to identify audience segments, which can be used to target specific users and contexts in online advertising campaigns. DMPs may use big data and artificial intelligence algorithms to process and analyze large data sets about users from various sources. Some advantages of using DMPs include data organization, increased insight on audiences and markets, and 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. More generally, the term data platform can refer to any software platform used for collecting and managing data. It is an integrated solution which as of the 2010s can combine functionalities of for example a data lake, data warehouse or data hub for bus ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Management
Data management comprises all disciplines related to handling data as a valuable resource. Concept The concept of data management arose in the 1980s as technology moved from sequential processing (first punched cards, then magnetic tape) to random access storage. Since it was now possible to store a discrete fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a customer's home address is stored in 75 (or some other large number) places in our computer systems." However, during this period, random access processing was not competitively fast, so those suggesting "process management" was more important than "data management" used batch processing time as their primary argument. As application software evolved into real-time, interactive usage, it became obvious that both management processes were important. If the data was not well defined, the data ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Big Data
Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe Big data is the one associated with large body of information that we could not comprehend when used only in smaller amounts. In it primary definition though, Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: ''volume'', ''variety'', and ''velocity''. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampl ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Predictive Analytics
Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision-making for candidate transactions. The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain across large numbers of individuals, such as in marketing, credit risk assessment, fraud det ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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