For each time interval, a column filled with the color corresponding to the event type is displayed. The intervals can be easily set by the investigator just to the right of the label: Group by. The entire chart scale is divided into equal time intervals: 1 year, 1 month, 1 hour, 1 minute, or 1 second. This new analytical feature in Oxygen ForensicВ® Detective displays user activity by set timeframes (years, months, etc).Д®very event type corresponds to a specific color of the chart column: Calls are shown in green, Messages are marked with yellow, and other events are shown in red. THE WIDGETS THAT ARE BUILT AUTOMATICALLY PRESENT DATA WITHIN THE EXTRACTION: Activity Chart The second group of widgets, or investigator interactions widgets, display the investigatorвЂ™s interactions with the evidence: assigning tags, marking data as Key Evidence, adding and editing notes, running hash set searches, as well as using Project VIC tags. Data on the device is displayed in the first widgets and shows the data present within the extraction in charts or tables (Activity Chart, Activity Matrix, Last Contacted, Data Types, Top 10 Applications, Contacts, or Groups). The widgets are divided into two categoriesвЂ“data on the device and investigator interaction. The Statistics section consists of several widgets, all of which are neatly displayed on the screen.

So, in 12.4 we designed an even more comprehensive Statistic section that is an overview of the entire extraction and itвЂ™s data to quickly identify sections of interest to the investigator. Showing favor for this feature we wanted to make this feature even bigger. This area gave our users a quick overview of dataвЂ“a sort of top ten.

To prove this point, look at our 12.3 release where we added a statistic section to our main dashboard. Navigating the enormous amount of data quickly and efficiently has always been our goal and development objective. In todayвЂ™s investigations time is often critical and finding the needle in the proverbial haystack can prove daunting. In digital investigations, the abundance of data often equals a lack of time to navigate into the weeds.

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