All the Data terminology you need!
Ad hoc reporting
Ad hoc reporting is a process of generating customized reports that allows data users to extract specific and relevant information in real time from complex data sources. It is an ad hoc data analysis method that enables data users to answer specific questions by quickly creating custom reports without the need for assistance from a data analysis expert or a BI analyst.
Suadeo is a data services platform that enables data users of all skill levels to understand and effectively utilize data. With over 500 native connectors, an AI-powered chatbot, comprehensive data lifecycle tracking, and data mart virtualization, Suadeo offers a complete and fully secure solution for data collection, analysis, and visualization.
Regarding ad hoc reporting, Suadeo allows data users to generate customized reports in real time through its flexible and user-friendly query system. Users can easily extract relevant information from complex data sources and create custom reports to address specific questions. Additionally, Suadeo provides exceptional security features to protect its clients’ data and ensure the confidentiality of sensitive information.
In summary, with its comprehensive and secure data services platform, Suadeo enables data users of all skill levels to generate real-time customized reports to address specific questions through its flexible and user-friendly query system.
Advanced analytics is a data analysis method that uses advanced techniques such as machine learning and artificial intelligence to discover trends and patterns in data. This approach goes beyond simple reports and dashboards, providing deeper insights and more accurate predictions. Suadeo offers advanced analytics features such as prediction, classification, segmentation, and regression analysis, enabling its clients to gain a better understanding of their data and make more informed decisions. With its comprehensive and secure data services platform, Suadeo allows all stakeholders, regardless of their technical skill levels, to benefit from the advantages of advanced analytics.
Agile analytics is a data processing approach that combines the agility of software development methods with analytical capabilities to enhance the efficiency of decision-making processes. At Suadeo, agility is at the core of our data platform, enabling businesses to quickly adapt to market changes and meet evolving customer needs. Through our agile approach, teams can easily collaborate, iterate rapidly, and resolve issues promptly, while relying on a robust and secure data infrastructure.
Analytics as a Service (AaaS)
Analytics as a Service (AaaS) is a model for delivering data analytics services in the cloud, allowing users to focus on analysis rather than the technical tasks of data collection and processing. At Suadeo, AaaS is a key element of our data platform, enabling users to access a comprehensive suite of on-demand data analytics services. Clients can leverage the power of data analytics without investing in costly resources for data collection, storage, and analysis. With Suadeo’s AaaS, clients can benefit from advanced analytics services such as predictive analysis, machine learning, and real-time data modeling without requiring specialized computer or statistical skills. Ultimately, this allows businesses to focus on their core competencies and make more informed decisions based on relevant and accurate data.
Automatic concurrency scaling
Automatic concurrency scaling is a feature of Suadeo that automatically adjusts processing capacity based on the workload on the platform. This ensures optimal response times and consistent performance, even during peak loads. Automatic scaling of resources also helps reduce costs by avoiding unused resources. In summary, Suadeo’s automatic concurrency scaling optimizes resource utilization and ensures optimal platform performance.
Average session duration
Average session duration is a measure that determines the average length of a user session on a website or application. This includes the time a user spends on the site before leaving or ending the session and can help website or application owners understand user engagement and improve the user experience. For Suadeo, this measure can be used to evaluate the effectiveness of their platform and allow them to adjust their strategy to improve user engagement and satisfaction.
Average user time spent
Average user time spent is a metric that helps determine how much time, on average, a user spends on a platform, website, or application. In the case of Suadeo, this measurement can be used to assess user engagement on the platform. A higher average user time spent indicates that users are more engaged and find value in the services offered by Suadeo. This metric can be utilized to make decisions regarding platform improvements or to evaluate the effectiveness of changes. Suadeo can provide detailed analyses of this metric to help businesses better understand how users interact with their platform.
A bar chart, or bar graph in French, is a type of chart used to represent data using vertical or horizontal rectangles called “bars.” Each bar represents a specific category of data, and the length or height of the bar corresponds to the numerical value of that category. The bars can be arranged side by side to compare different categories or stacked on top of each other to show the contribution of each category to a total.
In the case of Suadeo, bar charts can be used to visualize the data collected and analyzed by the platform. Users can create customized bar charts to display measurements such as the number of connections, average response times, or the amount of processed data. These charts can help users better understand their data and make informed decisions based on that information.
A bubble chart, or “diagramme à bulles” in French, is a graphical representation of data that allows visualizing three dimensions using two coordinate axes and the size of bubbles. Bubble charts are often used to represent data where one numeric variable needs to be compared to two other variables. For example, a bubble chart could be used to represent the relationship between company size, revenue, and profitability.
In the context of Suadeo, bubble charts can be used to visualize data in a clear and efficient manner. With its custom chart creation functionality, Suadeo users can easily create bubble charts to explore data and identify trends and relationships among different variables. Additionally, Suadeo offers advanced data analysis features that can help businesses derive useful insights from their data represented in bubble charts.
The bullet chart is a type of chart used to represent performance data, often employed in management dashboards. It was invented by Stephen Few, an expert in data visualization.
The bullet chart resembles a bar chart but is more compact and easier to read. It consists of a horizontal bar representing the performance measure and one or more reference marks indicating the desired or achieved level of performance.
The bullet chart can also include indicators such as arrows to indicate performance trend and labels to provide additional information about the data.
The bullet chart is useful for visualizing performance data and comparing current performance to a reference or goal. It is particularly suitable for management dashboards as it is compact and can represent multiple performance measures in a limited space.
In the context of Suadeo, the bullet chart can be used to represent the performance of applications or servers by comparing current performance to a predefined target. It can also be used to track user performance by comparing their current performance to the average user or a predefined goal.
Business Dashboard KPI
A business dashboard KPI (Key Performance Indicator) is a data visualization tool that allows real-time tracking of an organization’s performance and objectives. This tool is used to display the most important data for decision-makers and operational teams, enabling them to track trends, make informed decisions, and define effective strategies.
KPIs represent specific measures used to assess a business’s performance. They can include financial measures such as revenue, net profit, return on investment, as well as operational measures such as conversion rate, customer satisfaction, response time, etc.
The business dashboard KPI is designed to be customizable based on the specific needs of each organization. Suadeo offers a wide variety of charts and dashboards that make it easy to visualize key KPIs and compare them to the company’s objectives. This allows decision-makers to monitor real-time performance and make informed decisions based on observed trends.
Cartography is a technique for visually representing geographic data, which helps to better understand the data by linking it to its geographic location. In the field of data science, cartography enables the representation of data on geographic maps, facilitating decision-making and analysis. Suadeo provides cartography solutions to help businesses better understand data related to their activities, visualize it on geographic maps, and extract valuable information for decision-making. Maps can be customized based on the organization’s needs, and data can be updated in real time to enable real-time analysis. Cartography is therefore a key functionality for businesses looking to effectively visualize and analyze their geographic data.
The conversion rate is a measure used to evaluate the effectiveness of a marketing campaign or website by measuring the percentage of visitors who perform a desired action, such as purchasing a product or submitting a form. It is an important indicator for businesses seeking to optimize their website or marketing strategy.
In the context of Suadeo, the conversion rate is used to measure the effectiveness of data analysis performed by the platform, by measuring the percentage of queries or actions that result in a satisfactory outcome for the user. For example, a high conversion rate indicates that the dashboards or reports generated by Suadeo are easy to understand and useful for users, while a low conversion rate indicates that adjustments are needed to improve the user experience.
Customer retention is a key performance indicator that measures an organization’s ability to retain customers over a given period. It refers to the company’s ability to retain its customer base and maintain a lasting business relationship with them.
In the context of Suadeo, customer retention is crucial for maintaining a satisfied and loyal customer base, contributing to business growth. Through its advanced analytics and ad hoc reporting tools, Suadeo can help its clients identify trends and factors influencing their customer retention rate and implement effective strategies to keep it high.
Suadeo solutions also enable businesses to better understand the needs and preferences of their customers, which can contribute to improving the customer experience and, consequently, their loyalty. Data visualization tools such as business dashboards and customized reports allow Suadeo’s clients to monitor their customer retention rate in real-time and adapt their strategies accordingly.
Ultimately, customer retention is a critical indicator for measuring the financial health and long-term growth of a business. Suadeo assists its clients in maintaining a high retention rate by providing advanced analytics, data visualization, and ad hoc reporting tools, as well as quality customer support to help them implement effective strategies for customer loyalty.
Customer satisfaction score
The Customer Satisfaction Score (CSS), also known as the Net Promoter Score (NPS), is a measure used to assess customer satisfaction and loyalty towards a company, product, or service.
It is typically obtained by asking customers to respond to a single question: “On a scale of 0 to 10, how likely are you to recommend our company/product/service to a friend or colleague?” Based on their response, customers are classified into one of three categories: promoters (scoring 9-10), passives (scoring 7-8), or detractors (scoring 0-6).
The CSS is then calculated by subtracting the percentage of detractors from the percentage of promoters. This provides a simple yet effective measure of customer satisfaction and loyalty.
In the case of Suadeo, the CSS could be used to measure customer satisfaction regarding the security of their data and the quality of the service provided. The CSS results could be used to identify potential areas for improvement and implement corrective actions to enhance customer satisfaction and loyalty.
A “dashboard” is a visual interface designed to consolidate and present key information in a concise and easily understandable manner. In the context of Suadeo, a dashboard can aggregate data concerning a company’s performance, such as the number of clients, revenue, expenses, profits, and more. Dashboards can be tailored to different levels of the organization, spanning from executives to frontline employees. They are frequently employed to monitor progress and results in line with business objectives and to pinpoint trends and opportunities.
The content of a dashboard can vary depending on a company’s needs, but it typically includes charts, tables, maps, gauges, and other visual elements that facilitate rapid data visualization and the identification of issues or opportunities. Dashboards can be either static, with manually updated data, or dynamic, with real-time data sourced from online data repositories.
To summarize, a dashboard serves as an indispensable tool for businesses aiming to track their performance and make well-informed decisions based on crucial data pertaining to their operations.