Big Data Engineer
A professional who designs, builds, and maintains systems for processing large-scale data sets. Essential for enabling data-driven decision-making and supporting advanced analytics in organizations.
A professional who designs, builds, and maintains systems for processing large-scale data sets. Essential for enabling data-driven decision-making and supporting advanced analytics in organizations.
The interpretation of historical data to identify trends and patterns. Important for understanding past performance and informing future decision-making.
An approach to design that relies on data and analytics to inform decisions and measure success. Crucial for making informed design decisions that are backed by evidence.
The systematic identification, analysis, planning, and implementation of actions designed to engage and influence stakeholders in a project. Crucial for maintaining positive relationships and ensuring stakeholder support throughout the project lifecycle.
A design pattern that combines human and machine intelligence to enhance decision-making and problem-solving. Important for leveraging AI to support and amplify human capabilities.
In-product assistance provided within the context of a specific task or screen, tailored to the user's current needs. Important for enhancing user experience by providing timely and relevant assistance.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides. Useful for capturing high-level trends and patterns, but should be complemented with thick data to gain a deeper understanding of user behavior and motivations.
A mode of thinking, derived from Dual Process Theory, that is slow, deliberate, and analytical, requiring more cognitive effort and conscious reasoning. Crucial for designing complex tasks and interfaces that require thoughtful decision-making and problem-solving, ensuring they are clear and logical for users.
A design approach that uses data, algorithms, and predictive analytics to anticipate user needs and behaviors, creating more personalized and effective experiences. Crucial for enhancing user experience through anticipation and personalization.
The process of collecting, analyzing, and reporting aggregate data about which pages a website visitor visits and in what order. Essential for understanding user behavior and improving website navigation and content.
The objective analysis and evaluation of an issue in order to form a judgment. Essential for making informed and rational design decisions.
Measurements used to evaluate the success of an organization, employee, or process in meeting goals. Necessary for assessing performance and driving continuous improvement.
Metrics that may look impressive but do not provide meaningful insights into the success or performance of a product or business, such as total page views or social media likes. Important for distinguishing between metrics that drive real business value and those that do not.
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.
Elements in a process that cause resistance or slow down user actions, which can lead to frustration or be used intentionally to prevent errors and encourage deliberate actions. Important for recognizing both the negative impact of unnecessary delays and the positive use of intentional friction to enhance user decision-making and reduce errors.
The process of gathering and analyzing information about competitors to inform business strategy and decision-making. Essential for understanding market positioning and developing effective competitive strategies.
A recommendation system technique that makes predictions about user interests based on preferences from many users. Essential for personalizing user experiences and improving recommendation accuracy.
An intermediary that gathers and provides information to users, typically in an online context. Important for helping users make informed decisions based on aggregated data.
The process of planning, executing, tracking, and analyzing marketing campaigns. Essential for ensuring the success and efficiency of marketing campaigns.
Business Process Management Software (BPMS) refers to tools and systems that help organizations design, model, execute, monitor, and optimize their business processes. Essential for improving operational efficiency and ensuring that digital products support effective business processes.
A data visualization technique that shows the intensity of data points with varying colors, often used to represent user interactions on a website. Essential for understanding user behavior and identifying areas of interest or concern in digital product interfaces.
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 systematic computational analysis of data or statistics to understand and improve business performance. Essential for data-driven decision making in design, product management, and marketing.
The process of using statistical analysis and modeling to explore and interpret business data to make informed decisions. Essential for improving business performance, identifying opportunities for growth, and driving strategic planning.
The use of data, algorithms, and machine learning to recommend actions that can achieve desired outcomes. Essential for optimizing decision-making and implementing effective strategies.
The practice of measuring and analyzing data about digital product adoption, usage, and performance to inform business decisions. Crucial for making data-driven decisions that improve product performance and user satisfaction.
A strategy used to determine the proportion of various SMEs needed to support a pipeline of work. Important for optimizing resource allocation, enhancing efficiency, and ensuring teams have the appropriate support based on design demand and complexity.
The process of ranking leads based on their perceived value to the organization. Useful for prioritizing sales efforts and improving conversion rates.
A role focused on driving user acquisition, engagement, and retention through data-driven strategies and experiments. Essential for scaling products and optimizing user growth.
A professional responsible for designing and managing data structures, storage solutions, and data flows within an organization. Important for ensuring efficient data management and supporting data-driven decision-making in digital product design.
The process of predicting future customer demand using historical data and other information. Crucial for optimizing inventory levels, production schedules, and supply chain management.
Digital Asset Management (DAM) is a system that stores, organizes, and manages digital assets, such as images, videos, and documents. Essential for maintaining and leveraging digital content efficiently in product design and marketing.
Data points that represent an individual's, team's, or company's performance in the sales process. Essential for tracking progress, identifying issues, and optimizing sales strategies.
The process of setting short-term objectives and determining the actions needed to achieve them. Critical for aligning daily operations with strategic goals.
Enterprise Architecture (EA) is a strategic framework used to align an organization's business strategy with its IT infrastructure. Crucial for optimizing processes, improving agility, and ensuring that technology supports business goals.
The process of continuously improving a product's performance, usability, and value through data-driven decisions and iterative enhancements. Crucial for ensuring that a product remains competitive and meets evolving user needs.
Happiness, Engagement, Adoption, Retention, and Task (HEART) is a framework used to measure and improve user experience success. Important for systematically evaluating and enhancing user experience.
A metric that measures how engaged users are with a product, often based on usage frequency, feature adoption, and user feedback. Crucial for assessing user satisfaction and identifying areas for improvement in the product experience.
A marketing technique focused on rapid experimentation across various channels and strategies to identify the most effective ways to grow a business. Important for quickly scaling businesses and achieving significant growth.
A framework for discovering and validating the right market for a product, building the right product features, and validating the business model. Important for ensuring that products meet market needs and customer expectations.
The behavior of seeking information or resources based on social interactions and cues. Important for understanding how users gather information in social contexts and designing systems that support collaborative information seeking.
The process of evaluating and categorizing potential customers based on their likelihood to purchase. Essential for prioritizing sales efforts and improving conversion rates.
Customer Relationship Management (CRM) is a strategy for managing an organization's relationships and interactions with current and potential customers. Essential for improving business relationships and driving sales growth.
The percentage of leads that convert into customers. Crucial for measuring the effectiveness of marketing and sales efforts.
A visual representation of the stages a sales opportunity goes through, helping to track progress and forecast revenue. Important for managing sales processes and predicting future sales.
Reasons to Believe (RTB) is a marketing concept that refers to the evidence or arguments that support a product's claims and persuade consumers of its benefits. Essential for building trust and credibility with customers.
A comprehensive list of all content within a system, used to manage and optimize content. Essential for organizing, auditing, and improving content strategy.
The ability of a product or service to keep users engaged and returning over time, often measured by metrics such as retention rate. Crucial for evaluating user loyalty and the long-term success of a product.
The day-to-day activities required to produce goods and services, manage resources, and support business functions. Essential for ensuring efficient and effective functioning of an organization.
Enterprise Project Management (EPM) is a comprehensive approach to managing projects across an entire organization. Essential for coordinating complex, cross-functional projects and achieving organizational objectives.
A framework suggesting there are two systems of thinking: System 1 (fast, automatic) and System 2 (slow, deliberate), influencing decision-making and behavior. Crucial for understanding how users process information and make decisions.
The tendency to avoid information that one perceives as potentially negative or anxiety-inducing. Important for designing experiences that encourage information-seeking behavior.
Numeronym for the word "Observability" (O + 11 letters + N), the ability to observe the internal states of a system based on its external outputs, facilitating troubleshooting and performance optimization. Crucial for monitoring and understanding system performance and behavior.
The sequence of phases through which a product or project passes from conception to completion. Essential for managing and tracking the progress of development projects.
Impact, Confidence, and Ease of implementation (ICE) is a prioritization framework used in product management to evaluate features. Essential for making informed and strategic decisions about feature development and prioritization.
The process of defining a product's objectives, strategy, and roadmap, ensuring alignment with market needs and business goals. Important for setting a clear direction for product development and ensuring strategic alignment.
The process of phasing out or retiring a product or feature that is no longer viable or needed. Important for managing the lifecycle of digital products and ensuring resources are allocated to more valuable initiatives.
The approach a company takes to manage and market its portfolio of products, ensuring each product supports the overall business strategy. Important for optimizing the range of products offered to maximize market reach and profitability.
A professional responsible for promoting a product and driving its adoption in the market, through strategies like market research, positioning, and communication. Crucial for ensuring that products reach their target audience and achieve commercial success.