Post by account_disabled on Dec 9, 2023 5:10:04 GMT
Banks can draw conclusions based on customer behavior to prevent theft and fraud. Abstract graphic with inscription Big Data. Huge data sets are easier to understand through visualization. Embedded Analytics (Embedded Analytics) Unlike traditional business intelligence that involves the use of external applications, embedded analytics allows the use of analytical tools from the business application level. a result, there is no need to switch between applications, which can save each user hours of time per week (Source: Nucleus Research, report “Enabling Strong Intelligence with Embedded Analytics.
Embedded analytics allows you to embed analytics tools into Email Marketing List the interfaces of the business applications you use, integrate data with external applications, and build dashboards yourself and adapt them to your users' needs. Importantly, embedded analytics allow you to create reports and share them with people outside your company (customers, partners, suppliers.
Beware of distorted visualizations! Over the years, people have become less swayed by advertising slogans and politicians' promises. The situation is slightly different if we present the data in graphical form, since graphical form is easy to manipulate. But why would anyone want to visualize data in a way that misleads the recipient? Although sometimes this can be a simple mistake if only to strengthen your narrative. So, how do you consciously and unconsciously manipulate data visualization? Scale changes that don't fit the scale You should start.
Embedded analytics allows you to embed analytics tools into Email Marketing List the interfaces of the business applications you use, integrate data with external applications, and build dashboards yourself and adapt them to your users' needs. Importantly, embedded analytics allow you to create reports and share them with people outside your company (customers, partners, suppliers.
Beware of distorted visualizations! Over the years, people have become less swayed by advertising slogans and politicians' promises. The situation is slightly different if we present the data in graphical form, since graphical form is easy to manipulate. But why would anyone want to visualize data in a way that misleads the recipient? Although sometimes this can be a simple mistake if only to strengthen your narrative. So, how do you consciously and unconsciously manipulate data visualization? Scale changes that don't fit the scale You should start.