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Since 22 March 2020, global data has been compiled through WHO region-specific dashboards, and/or aggregate count data reported directly to WHO headquarters by Member States. Statistical counts include both domestic and repatriated cases. Case detection, definitions, testing strategies, reporting practice, and lag times (e.g. time to case notification, and time to reporting of deaths) differ between countries, territories and areas. These factors, amongst others, influence the counts presented with variable under or overestimation of true case and death counts, and variable delays to reflecting these statistics at a global level. Please note that statistics do not necessarily reflect the actual number of cases and deaths or the actual number of countries where cases and deaths are occurring, as a number of countries have stopped reporting or changed their frequency of reporting.

Reported data is still available attributed to specific dates (daily data) here as a download. Thisdashboard presents the same statistics as weekly figures in charts in order to mitigate against the visual misinterpretation of data. Should daily data have been presented here, many countries would show zero counts for multiple consecutive days duein part to the differences in how they choose to report. While weekly intervals do not completely mitigate against this, the approach reduces the risk that some dashboard users might infer zero cases or deaths when lack of data is often due to reportingdifferences.

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Although COVID-19 defines the symptomatic disease caused by SARS-CoV-2, the cases are presented in this dashboard meet one of two alternate definitions of confirmed case of SARS-CoV-2 infection in international surveillancereporting:

From the 31 December 2019 to the 21 March 2020, WHO collected the numbers of confirmed COVID-19 cases and deaths through official communications under the International Health Regulations (IHR, 2005), complemented by monitoring the officialministries of health websites and social media accounts. Since 22 March 2020, global data is compiled through WHO region-specific dashboards, and/or aggregate count data reported to WHO headquarters.

A dashboard is an information management tool that receives data from a linked database to provide data visualizations. It typically offers high-level information in one view that end users can use to answer a single question. In many cases, they can be configured to provide specific information to the end user and how this information is visualized. E.g., Numbers, charts, or graphs.

Often, information is categorized into panels on a dashboard so the end-users can get the needed information at a glance by clicking on a specific panel. Typically, users utilize them to easily monitor their key performance indicators (KPIs) to make data-driven decisions for their organization.

In addition to the above, a dashboard can be particularly useful when it provides data in real time, automatically updating with the latest information. Having real-time data is pertinent to many businesses, especially app marketers who desire to optimize their campaigns as fast as possible for maximum success.

There are several things that constitute a good dashboard for an app marketer. First, an excellent user interface (UI), which allows the marketer to navigate through its various screens, features, and parameters, is essential. They should be user-friendly to empower their users to get the answers they need quickly.

As a mobile analytics platform for app marketers and developers, Adjust has several dedicated data dashboards with different areas of focus to empower our clients to grow their apps. They provide insights on various in-app performance metrics, as well as many customizable inclusions and features. Our settings are customizable, and data sets can be downloaded with a single click.

The first of its kind, the Adjust Assists dashboard provides our clients with a comprehensive understanding of their user acquisition campaigns, with a groundbreaking inclusion of connected TV (CTV) campaigns and assists. Marketers can get essential insights on which campaigns, creatives, and ad groups are impacting conversions from their attributed channels and leverage built-in widgets to assess which types of engagements convert.

In business computer information systems, a dashboard is a type of graphical user interface which often provides at-a-glance views of key performance indicators (KPIs) relevant to a particular objective or business process. In other usage, "dashboard" is another name for "progress report" or "report" and considered a form of data visualization. In providing this overview, business owners can save time and improve their decision making by utilizing dashboards.[citation needed]

The idea of digital dashboards followed the study of decision support systems in the 1970s. Early predecessors of the modern business dashboard were first developed in the 1980s in the form of Executive Information Systems (EISs). Due to problems primarily with data refreshing and handling, it was soon realized that the approach wasn't practical as information was often incomplete, unreliable, and spread across too many disparate sources.[4] Thus, EISs hibernated until the 1990s when the information age quickened pace and data warehousing, and online analytical processing (OLAP) allowed dashboards to function adequately.[4] Despite the availability of enabling technologies, the dashboard use didn't become popular until later in that decade, with the rise of key performance indicators (KPIs), and the introduction of Robert S. Kaplan and David P. Norton's balanced scorecard.[5] In the late 1990s, Microsoft promoted a concept known as the Digital Nervous System and "digital dashboards" were described as being one leg of that concept.[6] Today, the use of dashboards forms an important part of Business Performance Management (BPM). Initially dashboards were used for monitoring purposes, now with the advancement of technology, dashboards are being used for more analytical purposes. The use of dashboards has now been incorporating; scenario analysis, drill down capabilities, and presentation format flexibility.[7]

Dashboards offers a holistic view of the entire business as it gives the manager a bird's eye view into the performance of sales, data inventory, web traffic, social media analytics and other associated data that is visually presented on a single dashboard. Dashboards lead to better management of marketing/financial strategies as a dashboard for the display of marketing data makes the process of marketing easier and more reliable as compared to doing it manually. Web analytics play a crucial role in shaping the marketing strategy of many businesses. Dashboards also facilitate for better tracking of sales and financial reporting as the data is more precise and in one area. Lastly, dashboards offer for better customer service through monitoring because they keep both the managers and the clients updated on the project progress through automated emails and notifications.[citation needed]

Strategic dashboards support managers at any level in an organization and provide the quick overview that decision-makers need to monitor the health and opportunities of the business. Dashboards of this type focus on high-level measures of performance and forecasts. Strategic dashboards benefit from static snapshots of data (daily, weekly, monthly, and quarterly) that are not constantly changing from one moment to the next.

Dashboards for analytical purposes often include more context, comparisons, and history, along with subtler performance evaluators. In addition, analytical dashboards typically support interactions with the data, such as drilling down into the underlying details. Dashboards for monitoring operations are often designed differently from those that support strategic decision making or data analysis and often require monitoring of activities and events that are constantly changing and might require attention and response at a moment's notice.

Digital dashboards may be laid out to track the flows inherent in the business processes that they monitor. Graphically, users may see the high-level processes and then drill down into low-level data. This level of detail is often buried deep within the corporate enterprise and otherwise unavailable to the senior executives.

Three main types of digital dashboards dominate the market today: desktop software applications, web-browser-based applications, and desktop applications are also known as desktop widgets. The last are driven by a widget engine.

Both Desktop and Browser-based providers enable the distribution of dashboards via a web browser. An example of the latter is web-based-browser Asana, which helps teams orchestrate their work, from daily tasks to strategic cross-functional initiatives. With it, teams can manage everything from company objectives to digital transformation to product launches and marketing campaigns.

Specialized dashboards may track all corporate functions. Examples include human resources, recruiting, sales, operations, security, information technology, project management, customer relationship management, digital marketing and many more departmental dashboards. For a smaller organization like a startup a compact startup scorecard dashboard tracks important activities across lot of domains ranging from social media to sales.

Digital dashboard projects involve business units as the driver and the information technology department as the enabler. Therefore, the success of dashboard projects depends on the relevancy/importance of information provided within the dashboard. This includes the metrics chosen to monitor and the timeliness of the data forming those metrics; data must be up to date and accurate.

Dashboards involve the combination of visual and functional features. This combination of features helps improve cognition and interpretation. A performance dashboard sits at the intersection of two powerful disciplines: business intelligence and performance management. Therefore, there are different users who could use these dashboards for different reasons. For example, a level of workers could look at monitoring inventory while those in more managerial roles can look at lagging measure. Then executives could utilize the dashboard to evaluate strategic performance against objectives.[7] ff782bc1db