5V’s of Big Data
Characteristics of big data defined as Volume, Velocity, Variety, Veracity, and Value. Important for understanding the complexities and potential of big data in driving business insights and innovation.
Characteristics of big data defined as Volume, Velocity, Variety, Veracity, and Value. Important for understanding the complexities and potential of big data in driving business insights and innovation.
Data that is organized in a predefined manner, making it easier for search engines to understand and display rich snippets in search results. Essential for enhancing search results and improving SEO.
The process of creating an interface that displays key performance indicators and metrics in a visually accessible way. Essential for monitoring performance and making data-driven decisions.
The process of creating visual representations of data or information to enhance understanding and decision-making. Essential for organizing information and making complex data accessible.
A visual representation of information or data designed to make complex information easily understandable at a glance. Important for communicating insights and data effectively to stakeholders and users in digital product design.
Business Intelligence (BI) encompasses technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. Crucial for making data-driven decisions and improving business performance.
The practice of presenting information in a way that is clear, accessible, and useful to the user. Essential for creating effective and user-friendly interfaces and communications.
3-Tiered Architecture is a software design pattern that separates an application into three layers: presentation, logic, and data. Crucial for improving scalability, maintainability, and flexibility in software development.
The representation of data through graphical elements like charts, graphs, and maps to facilitate understanding and insights. Essential for making complex data accessible and actionable for users.
Information Visualization (InfoVis) is the study and practice of visual representations of abstract data to reinforce human cognition. Crucial for transforming complex data into intuitive visual formats, enabling faster insights and better decision-making.
The perception of a relationship between two variables when no such relationship exists. Crucial for understanding and avoiding biases in data interpretation and decision-making.
The tendency for individuals to present themselves in a favorable light by overreporting good behavior and underreporting bad behavior in surveys or research. Crucial for designing research methods that mitigate biases and obtain accurate data.
Enhanced search results that include additional visual or informational elements beyond the standard text, often derived from structured data on a webpage. Important for improving click-through rates and providing users with more useful information in search results.
Code added to a webpage to help search engines understand the content and provide more informative results for users, enhancing SEO. Essential for improving SEO and ensuring that search engines can accurately interpret webpage content.
A behavioral economics model that explains decision-making as a conflict between a present-oriented "doer" and a future-oriented "planner". Useful for understanding user decision-making and designing interventions that balance short-term and long-term goals.
A logical fallacy in which it is assumed that qualities of one thing are inherently qualities of another, due to an irrelevant association. Important for avoiding incorrect associations in user research and data interpretation.
Location, Alphabet, Time, Category, and Hierarchy (LATCH) is a framework for categorizing information. Useful for creating clear and intuitive information structures in digital products.
A cognitive bias where people ignore general statistical information in favor of specific information. Critical for designers to use general statistical information to improve decision-making accuracy and avoid bias.
A phenomenon where people better understand and remember information when it is presented visually. Crucial for designing effective and engaging visual content.
Situation-Complication-Resolution (SCR) is a communication and problem-solving framework used to structure information clearly and logically. Crucial for effectively conveying complex ideas and solutions in business and design contexts.
Model-View-Controller (MVC) is an architectural pattern that separates an application into three main logical components: the Model (data), the View (user interface), and the Controller (processes that handle input). Essential for creating modular, maintainable, and scalable software applications by promoting separation of concerns.
A cognitive bias where individuals overestimate the accuracy of their judgments, especially when they have a lot of information. Important for understanding and mitigating overconfidence in user decision-making.
The series of actions or operations involved in the acquisition, interpretation, storage, and retrieval of information. Crucial for understanding how users handle information and designing systems that align with cognitive processes.
Crit (Design Critique) is a structured feedback session where designers present their work and receive constructive feedback from peers. Essential for refining design quality through collaborative input.
A logical fallacy where anecdotal evidence is used to make a broad generalization. Crucial for improving critical thinking and avoiding misleading conclusions.
Know Your Customer (KYC) is a process used by businesses to verify the identity of their clients and assess potential risks of illegal intentions for the business relationship. Essential for preventing fraud, money laundering, and terrorist financing, particularly in financial services, while also ensuring compliance with regulatory requirements and building trust with customers.
Mutually Exclusive, Collectively Exhaustive (MECE) is a problem-solving framework ensuring that categories are mutually exclusive and collectively exhaustive, avoiding overlaps and gaps. Essential for structured thinking and comprehensive analysis in problem-solving.
A cognitive bias where people seek out more information than is needed to make a decision, often leading to analysis paralysis. Crucial for designing decision-making processes that avoid information overload for users.
An area in a market or industry that is currently underserved or unaddressed, presenting opportunities for innovation and new business ventures. Important for identifying gaps in the market that can be filled with new products, services, or solutions.
The cognitive bias where people treat a set of items as more significant when they are perceived as a cohesive group. Important for understanding user perception and decision-making.
The area within a market where unmet needs or problems present potential for new products or services. Essential for identifying new business opportunities.
The value or satisfaction derived from a decision, influencing the choices people make. Crucial for understanding user preferences and designing experiences that maximize satisfaction.
Conversion Rate Optimization (CRO) is the systematic process of increasing the percentage of website visitors who take a desired action, such as making a purchase or filling out a form. Crucial for improving user engagement and achieving business goals.
A pricing strategy where a high-priced option is introduced first to set a reference point, making other options seem more attractive in comparison. Important for shaping user perceptions of value and creating a benchmark for other pricing options.
The process of changing the corporate image of an organization, including its name, logo, visual identity, and messaging, to better align with its strategic goals. Important for revitalizing a brand and aligning it with current market positioning and business objectives.
A Gestalt principle that states objects that are close to each other tend to be perceived as a group. Crucial for creating intuitive and organized visual designs that align with natural perceptual tendencies.
A pricing strategy that offers a middle option with substantial value at a moderate price, often perceived as the best deal by users. Useful for driving sales by presenting a balanced choice that appears more attractive relative to higher and lower-priced options.