Total Access Statistics is the most advanced data analysis program for Microsoft Access. It extends the power of Microsoft Access queries with a wide range of statistical calculations including percentiles, frequency distributions, correlations, regressions, rankings, running totals, financial cash flow analysis, data normalization, crosstabs with Chi-Square, t-Tests, ANOVA, non-parametrics, probabilities, and more.
Total Access Statistics is now available for Microsoft Access 2013. Total Access Statistics 2013 includes many enhancements since the prior release of Total Access Statistics 2010:
- Support for the 32 and 64 bit versions of Access 2013 with separate add-ins for each
- New redistributable runtime libraries to support Access 2013, 2010, 2007, and 2003
- Support for Windows 8 (and all Windows versions supported by Access)
- Improved performance when analyzing large data sets
- For Percentiles, when assigning percentile values to a field in your table, you can specify calculations such as quartiles, quintiles, octiles, deciles, etc. rather than just percentile
- Field format is set to Percent for percentage fields in the Frequency, Crosstab (when percentages are in columns), and Chi-Square details tables
- When tables are generated from the add-in, the field column widths are resized to show the entire field name and data
- Updated user manual and help file
Here’s a complete list of new features. For more information visit these resources:
With the upcoming 4th of July celebrations, we at FMS are proud to have worked with the National Archives and Records Administration (NARA) over the past year to help them better maintain and preserve the important documents of our nation. Here’s what we did in our new case study: Inspection Software for the National Archives and Records Administration (NARA)
About the National Archives
The National Archives and Records Administration (NARA) is the record keeper for the United States. Of all documents and materials created in the course of business by the United States Federal government, only 1%-3% are important enough for legal or historical reasons that they are kept by NARA forever.
To ensure the quality of work performed by their Facilities Management service providers, the National Archives and Records Administration performs both random and targeted inspections of completed work orders.
Inspection findings were documented on paper, which ironically, wasn’t efficient for the NARA. Reports were manually created to generate the service results. This manual process was time consuming and prone to human error.
FMS was selected to create a professional, multiuser system to collect the inspection results electronically and generate a variety of management reports.Within two months, we deployed our solution which offers data entry screens to replicate a variety of existing forms and many new management reports. An intuitive user interface made it easy for users without requiring extensive training. More importantly, we established a solid database foundation to improve NARA processes both today and into the future.
- Stores inspection results into a shared database
- Increases efficiency and accuracy of the collection and reporting process
- Gathers information and performs statistical analysis in ways that were previously not available
- Eliminates the need to maintain paper files
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.