What’s New in InfoMaster 8.5?


To quickly answer the question…A LOT!  We here at Innovyze consider 8.5 a major InfoMaster release and are excited to be delivering it to our clients.  InfoMaster is already revolutionizing the way asset management is done, and we think 8.5 is a major step in the evolution of asset management.

To summarize the main additions to 8.5 include:

  1. Data Miner – This replaces the Facility Query option within the IM Operation Center and add a ton more customization.  The Data Miner will help clients join, create, and manipulate data sources to bring more value to other InfoMaster applications.  We’re very excited to see what ideas our clients cook up with the Data Miner!
  2. Rehab Actions and Costs window – A much more user friendly interface replaces the old four table format.  The same principals apply and it’s not only more intuitive, but also more flexible.
  3. LCCA 2.0 – For those clients taking advantage of InfoMaster’s LCCA (Life Cycle Cost Analysis) extension, they will see that it has been greatly simplified.  Costs are now referenced from the new Rehab Actions and Costs window making it easier than ever to create these analyses.  It’s a great time to look at InfoMaster LCCA!
  4. Batch Run – We listened to our clients and are happy to provide this feature request!  It’s now much easier and faster to keep your InfoMaster model up-to-date and analyzing the latest GIS and CCTV data.
  5. Improved Vertical Asset Support – Work Manager data can now be more easily tied to vertical assets.  Importing vertical asset data now supports more flexible import options.
  6. Facility Selection option in Rehab Decision Tree – User-defined facility selections can now be applied as condition statements within the rehab decision tree logic structure.  This is especially useful with the addition of the Data Miner.

Of these added improvements, the Data Miner is the largest so let me elaborate.  Users can access the Data Miner tool within the IM Operation Center.  Once, the Data Miner tool is selected, right-click anywhere in the blank space to enter the main interface.

The Data Miner interface is completely new, but don’t be overwhelmed!  The tools and controls are very similar to the rehab decision tree flowcharts.  On the left hand side are the Data Miner building blocks.  These blocks include:

  1. Starting Blocks – These blocks control where the Data Miner starts its analysis.   Users can include multiple Starts within a single Data Miner to create multiple outputs with only a single Data Miner.  These outputs could then be run in series so that a user could create ten or more unique table exports with a single Data Miner run.
  2. Source Data Blocks – Include the data users want to manipulate within the Data Miner.  Source Data can come from facility data, analysis results, Work Manager information, and even data sources outside the InfoMaster project database.
  3. Tool Blocks – Control how source data is manipulated.  Common ArcTool options are included here such as count, join, select by attributes, or spatial tools.  The powerful thing here is that these tools are now imbedded in the InfoMaster tools and can be run in series, saved, and rerun.
  4. Output Blocks – Determines how the final result should be generated.  Users can create custom tables, facility selections, or ArcMap selections with these blocks.
  5. Assembly Blocks – Contain summarized Data Miners.  Users can save commonly accessed Data Miner functions and save them as Assembly Blocks for easier future access.

Users can drag, drop, and edit each of these types of blocks to create new data sources.

To help get you started, let’s walk through a simple Data Miner example.  First, let’s drag out the Facility Data Input Source Data block.  Place it near the start and double-click on it.  This will bring up the Enter Parameters window.

In this window, select your mains facility type from the first dropdown.  Note the many other options in this window.  Users can easily query and join related tables all from this interface.  After selecting your mains facility type, click OK to exit the window.

Next, let’s add inspection data.  Note that this step will only work if you have inspection data within your Work Manager. Drag out the Inspection Data building block and add it to the interface.  Double-click on it and match the settings below:

Next, let’s use the Count tool to count the number of inspections associated with each main.  Drag the Count tool into the interface.  Now drag a flow arrow from the Inspection source data block to the square part of the Count tool.  Set the inspection data as the join table.  Repeat this process for the mains data source block and connect it to the Count tool.  Once you are done, your Data Miner should look similar to this.

Double-click on the Count tool to make sure the correct ID fields are being used to join the two data sources.  Set both ID fields to be Facility ID.

Let’s now finish the Data Miner by connecting the Start building block to the mains building block and adding an Output block.  Connect Start building block and drag the Export table output block into the window.  Connect the green resultant block to the output block.  Double-click the output block and set your output report’s ID and Description.  Once complete, you should have a very basic Data Miner which should look similar to this:

This Data Miner can now be run and will create a unique table which the InfoMaster user can apply within the risk analysis, rehab decision tree, failure analysis, or other areas within InfoMaster.  Users can add variables or additional data sources, tools, or outputs to further customize their Data Miners.  If you can imagine a specific table or selection you’d like to create within InfoMaster, there’s a very good chance the Data Miner can create it!

For more information on this new tool, or any of the new applications within InfoMaster, please see the updated InfoMaster helpfile or contact Innovyze Support (support@innovyze.com).


3/5/2018 – Update!

Data Miners can be transferred between InfoMaster projects via .JSON files.  In the link below are some downloadable example .JSON files users can import directly to their InfoMaster projects.  Please use these to help get you started with the Data Miner!

Example Data Miners

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