Discover more about Telephone Call Data Records Analysis
What valuable information can you get out of huge amounts of telephone call records?
The US government is trying to collect all the telephone call data records (CDR) for US and international phone calls though its PRISM program. Does having this information constitute snooping? Is it an invasion of privacy? Or can it really help investigators track, find, and thwart threats?
Does it Matter with So Much Data?
With billions of phone calls, how could anyone possibly find anything of value amid all the innocent, unrelated calls? No one can possibly gain significant insight looking at an Excel spreadsheet or a database showing rows and columns of all those calls. Isn’t it just noise?
How Sentinel Visualizer Analyzes Call Data Records
Without advanced analytics software, the data is overwhelming. Our commercial Sentinel Visualizer program from our Advanced Systems Group provides a platform to gain insight into the massive number of phone calls. It’s about managing large amounts of data, seeing the relationships between entities (phone numbers and people), drilling down where necessary, and filtering based on time, geography, and relationships:
- Call detail records are imported into the Sentinel Visualizer database (SQL Server)
- Link Analysis Networks can be used to visually see the calls made by any phone number
- Multiple levels of phone calls can be linked to identify groups of phones related to each other (cells of activity)
- Geospatial Mapping and integration with Google Earth to see calls across the world
- Social Network Analysis (SNA) to identify related phones (cells) and spanners between cells
- Temporal Analysis can be used to filter data to specific time ranges
- If information exists for known individuals and their phone number(s), related phones can be quickly identified as warranting additional investigation
- Link Traversal Analysis can be performed between two phone numbers to show all the phones related to them through multiple levels, and quickly filter out the unrelated calls to identify the “community of interest”
- Numerous reporting and exporting options: print diagrams and customized reports, or export them in image, PDF, Word, Excel.
Learn more here
While we at FMS are best known for our Microsoft Access add-in products, we are also a leader in the Big Data analytics world with our Sentinel Visualizer product from our FMS Advanced Systems Group.
Sentinel Visualzer helps analysts mine their data to find hidden relationships among people, places and events. Built with Visual Studio .NET on a SQL Server database, Sentinel Visualizer provdes advanced data visualization through link analysis, geospatial mapping, timelines, social network analysis (SNA), advanced filtering and decluttering, and many other tools to maximize the value of data.
As the rampage and manhunt in Boston, Cambridge, and Watertown transpired, MIT Technology Review published an article that mentioned our Sentinel Visualizer product. In the April 19, 2013 article, David Talbot describes the rise of technology to detect the activities of criminals over the Internet and connect seemingly unrelated people, places and things. For more information, visit Building a Picture of the Boston Marathon Bombing Suspects through Social Network Analysis
Read our new paper: Microsoft Access Sorting on Multiple Date (or Numeric) Fields with Blank Values
Learn how to sort on multiple date fields when null values exist by using a calculated field. By using the IIf function with Is Null, you can easily sort to see the most recent (or oldest) records.
We’ve included information on avoiding the IsNull function to maintain SQL Server compatibility. Additional information and examples are provided to show why using the NZ function (NullToZero) is not equivalent and returns the wrong results.
This new paper is part of our Microsoft Access Query Help Center.
We are very pleased to release an update to Total Access Statistics for Microsoft Access 2010, 2007, and 2003. If you are an owner of version 14.0, 12.8, and 11.8 respectively, you can download the update at no charge.
Total Access Statistics is the most popular data analysis program for Microsoft Access. It extends the data analysis capabilities of Access queries to let you perform advanced numerical analysis on your data. Use any Access table, linked table, or query to perform calculations such as percentiles, regressions, frequency distributions, t-Tests, correlations, non-parametrics, rankings, moving averages, etc. It can also perform data normalization and let you select random records. As you would expect in a query, you can specify Group By fields so analysis is performed on each set of records with identical group fields. Total Access Statistics runs within Access with all output in Access tables. It supports MDB, ACCDB, and ADP databases.
The update includes these enhancements:
- Significant performance improvements when processing large numbers of records
- While analyzing records, a new status form appears with an option to cancel the process
- Setup program offers machine or current user installation options
- Resolves all known issues
For additional information, visit the Total Access Statistics Update page.
FMS developer Molly Pell is featured as a guest blogger on the Microsoft Access developer blog.
This post demonstrates how to use the Pivot statement to control column names returned by crosstab queries, allowing crosstabs to be used on reports.
Check out the post here: Using crosstab queries in reports
For another paper with an example of Creating an Annual 12 Month Summary Report without VBA Code by Creatively Using a Microsoft Access Crosstab Query