Level 1 Reporting – Source Excel Data – By Darrin Kinney

Who doesn’t love the glossy Level 1 reports our project produce. But really, when you look into these beauties, really understand the difficulty that goes into them. What follows is first a description of what a typical Level 1 report is, and how we can structure our excel based data to be a bit smarter.

This is by no means a fully comprehensive guide on this subject. It is instead just a primer to get us thinking about how we feed data into our reports.

Who doesn’t love the glossy Level 1 reports our mega construction projects produce. But really, when you look into these beauties, do you really understand the difficulty that goes into them. What follows is first a description of what a typical Level 1 report is, and how we can structure our excel based data to be a bit smarter (which is the real message to this article).

Interspersed with hopefully be a few key strategy points which can guide your work.

I’ll then showcase how you can take what will now be structured data and upload into a powerBI visual (although the process to capture the data into any database and drive any visualization tool would be the same)

Strategy – Don’t be afraid to use excel (not everything needs to be automated)

Key Elements of a Level 1 Report

Cost and Progress

L1_01

Here we are presented with:

  • Overall progress curve
  • Financial Status
  • Cost & Commitment curves

Some may argue what to lead with – for me its always %. No bigger value highlights where your are more than what % are we. Not displayed on the image above is a data series reflecting how many people are have and comparison against planned. People achieve progress. Its impossible to talk progress without talking how many people we have. The graphs provide enough enough context to allow for discussions about productivity without having to muddy the waters

The cost sections should include visibility into what our final forecast costs will be (and comparison against baseline). Underneath that key metric are a few sub items such as how much contingency we have, a few cost curves associated with spend profiles and commitment profiles.

Schedule and Narrative

L1_02
Yes, my secondary critical path finishes after the first – gotta love random data!

The schedule aspects of a Level 1 report are always tricky. Do we need to only display the final project milestone? For me, on major projects no single DATE has any meaning. Thus even on a Level 1, I still prefer to include 10-15 dates that represent some key aspect of the project. All dates should be compared against what we said last month to highlight current month variances, and dates should be compared against our project baseline (or whatever current approved version thereof).

The narrative section of a Level 1 can nearly always be updated by simply reading the progress, cost and schedule tables. Just put words to the graphs. Key adders here are insights into RISKs. What may come in the future that will alter what we are saying today!

Safety

As always, safety metrics are also usually front and center. For me, this has always been a difficult aspect of our jobs. A political correctness that is forced into our reporting. Don’t get me wrong, safety is the most important aspect of a project. So, including a safety table somewhere on the Level 1 is always done. For this article, I want to instead focus on the key project control elements and data integration.

Level 1 Data Structures

So, we all know what a Level 1 report looks like, and I would fathom we can all mostly agree these are the elements included and can be rolled out as a standard for any major construction contractor. Most of our reports likely already report this information in some manner or another. The entire point of this article is that we should really focus on entering the data in a smart data centric way so that if you want to automate anything down the line, you have the foundations to do so.

At this stage, I don’t want to talk about the source data used to generate your summaries. We can leave that for a later discussion.

Key Data Domains

  • Progress
  • Cost
  • Schedule
  • Narrative

We are aiming towards consistency here and want to actually represent all the data required for our key Level 1 chart to be housed in a database. Therefore we need to have structure.

Strategy – Do not focus on systems, focus on DATA

A critical strategic element in my approach is that I do not care what systems you use. Our reporting is not a function of our systems (at least in this step 1 phase). We instead need a structure from which we can extract data and as easily as possible, move that data into a template or format in which we can drive our level 1.

If you go down the path to seamlessly integrate source systems with a Level 1, you unwittingly constrain yourself.

Progress Data

Typically our (time phased) progress data will be sourced from Primavera. There are other systems where the progress data may live, but again, that isn’t the focus of this article – I don’t care where it lives and neither will any seasoned project controls manager. We just need to know it exists and has a common structure

L1_03

Here, a few key notes, use a consistent data format. The above structure is how all your progress data should be housed, not just Level 1. All time phased data, all the way down to Level 5 detail items should be managed in a data structure, not a fancy formatted excel file. Trust me, updating a table such as the above will serve you in the long run. Even if your data is fully managed inside a system such as P6 or PRISM or ECOSYS or COBRA, you should be able to at least extract Level 1 into the format defined above.

Cost Data

You guessed, we can capture our Level 1 cost data in exactly the same format

L1_04

In the graphs we are building, there are only 11 specific datasets. Only 4 of these require update on a period basis. So again, we really boil this down to something simple.

Strategy – Do not over complicate anything in your Level 1 layer

The implementation of the specific data model I have outlined above fits the strategic approach to keep your level 1 simple. Any project can implement this data model for Level 1 with without any integration into source systems. Level 1 can be updated by the project controls team doing a few copy-pastes into excel to capture project wide data. Again, I would assume your teams already do this, but perhaps end up copying this data into various other corporate systems as well.

Schedule Data

Again, we are keeping a simple approach and only capture the required information.

Here, we are forced into a different structure. So whereas the cost and progress data can fit the same data model (as seen above), we will need a different template for schedule dates. We will typically be using Primavera, as such this model fits P6, but the idea is universal.

L1_05.JPG

I do not believe this information can ever be fully automated from our scheduling systems. These paths will continually be adjusted. The planning lead will always refine what activities are being tracked to be displayed on the Level 1. Behind the scenes, there are tricks upon tricks to pull the dates, however, again, we are talking about the data layer here, not necessarily HOW you get the data into this format.

It is entirely possible to have the assignments encoded into P6 activity codes. Therefore, it would be possible to integrate your Level 1 data directly into either the source P6 database, or an XER export. In my experience, any automation that is attempted in this arena (for Level 1 data), is futile. We are only talking 10-15 key activities. Let you lead planner sort out how they get the data into this format. Again, our strategy is to not over complicate this. If the data is provided to a digital team in the format about, you are for all intents done.

The model above only captures the finish dates. If added visuals with simplified GANTT charts are needed in your Level 1 (and will be discussed in my next Level 2 article), you would have to edit the above.

The nice value of the above structure is that we have effectively created an interface, an integration layer, between what will be P6 data and our dashboard. The list of what activities can easily be edited by way of a sharepoint list. Then, in your data model, you can link on scheduleID to pull the relevent date data (I suspect many do this).

Narrative

Too often, narrative comments are shuffled between parties via email, entered into several documents, edited, customized, etc. The project controls team is always struggling sourcing commentary from various sources, and in my experience, we end up entering in something ourselves.

Level 1 data structures have to fit into these complications. In this realm, sharepoint offers a canned solution by way of sharepoint lists.

Strategy – If Technology already exists, use it

Strategy – Technology can be used in innovative ways – use a mashup mindset to use existing technology in a new way

I find that sharepoint lists offer unparalleled capabilities for commentary. However, for lists to be really functional, they need to be embedded into FORMS or some routines that provide export functionality

In this example, I have mocked up a simple INFOPATH form that could represent our sharepoint fields.  The sky is the limit when it comes to existing technology that can automate the capture of this type of commentary.

The value adder here is that instead of allowing unstructured comments (via email or manually marking up a word , excel or power point file), we have structured comments that are housed in a database and that database can be updated in a distributed manner using WEB based technologies.

L1_06.JPG

The above would be a web based form which will be updated by the associated responsible parties. However, we can’t quite import a form into our data model. When the above form is filled out, the data will be stored in a data model (which we will have to design first before we can even build the form above). Thus, what we are looking for is something akin to the below

L1_07

The above is just a table in an excel file, but again, when we house data in this format, it can naturally flow into a database. That is what we need to focus on. Even in our excel reporting world, if you can capture commentary in this tabular data centric way, you can still link to it from your main dashboard tabs to be “smarter” in how information is managed.

Strategy – Focus on the DATA! (I can’t say this enough)

Everything we do can be captured in a data model. Every report we design should be able to pull direct data out of a data structure. Thus, before we add anything to reports, first consider the entire flow of data required.

 

Putting it all together

At no point in time in the above have I had to rely on a source system. However, I have been able to take a typical Level 1 report and extract everything from it. I have taken this data and outlined a data model (in simple form) that can drive not just 1 project, but an entire corporate endeavor in this space.

As with everything, nothing novel here. Many companies already have systems that capture some of this information. This is more just a thought experiment for those that perhaps do not have a clear data model that supports level 1 reporting. It also highlights the discussion topics of “what are the manual steps” – because there will be manual steps in getting the data into the right format.

For me, everything above has to be manual at some point up or down the food chain. Your projects and portfolios need to have the discussions about where this type of Level 1 data is housed. If all projects already have this data in consistent databases, all you need to do is query that source. Everything discussed here is system independent. You can easily generate these data tables by way of query a source system directly (if you can), but I have not limited or require that approach

Strategy – Whatever you do, allow for flexibility

A Dashboard?

Even though my data model is entirely excel based, the data structure is very powerful. I can, in quite automated steps, import and convert these datesets into a more database model and thus gain value from dashboards that wouldn’t be custom for your project, but could drive an entire portfolio (and when you see how this scales to Level 2 data and beyond, the worlds your oyster).

If you actually want to proceed with a dashboard, and if you have your data as outlined above, here is what you can do with it. In fact, I would recommend that your source tab in excel that is driving your dashboard looks like the below.

L1_08.JPG
Raw data captured

The above data isn’t “immediately” friendly for digital reporting. A few transformations are required. The key steps involved are (the below was done as just an example using PowerQuery)

  1. Unpivot the Timephase date columns
  2. Pivot the the “SeriesName” column to create a unique “Column” for each dataset (this is need to create unique lines on our dashboard graphs)

L1_09.JPG At this stage, we have a nicely formatted table and we can now import into PowerBI. The intent here is not to showcase a beautiful Level 1 dashboard in PowerBI. My intent is more to showcase the data structures need to drive a dashboard. With the above data, we get pull each data series into graphs, tables, cards, KPI metrics, etc.

Our model has tagged each record with a “As-Of” date. Thus you can utilize this structure to have your dashboard display ALL prior months by way of a slider or select. Given more advanced skills, you can also pull out metrics about current incremental values vs what we said last month. Although, I feel those metrics are best served in Level 2 report where more detail is available.

Apologies for the look and feel below, I just pulled in the data to showcase that indeed you can drive a dashboard with what is effectively just a few lines of data that every project already has. We can bring together cost, schedule, progress, and commentary quite easily and in a very data friendly way.

L1_10.JPG

CONCLUSION

For me, there is no substitute for an excel based dashboard. The value in this for me is ensuring that when I produce a Level 1 Dashboard (in Excel), I should give consideration to ensuring my data is structured appropriately. This gives us a fighting change to perhaps go down the path of creating a more digital world. It also allows for perhaps more flexibility in dealing with Level 2 data to maybe have some real automation of rolling up of data.

Whats Next?

Level 2 obviously. I hope to showcase how the same ideas and concepts here can also help you structure your raw excel based Level 2 data to perhaps be better utilized in a more digital world

 

Major Milestone Tracking – By Darrin Kinney

A key quality of project controls management, is the communication of major milestones. The whole point is to review the changes of all the dates over time.

A key quality of project controls management, is the communication of major milestones. Every lead will have several spreadsheets with all our milestones listed on rows, and columns for the various interpretations (baseline, contract date, prior forecast, current forecast, contractor forecast, etc). So when we talk about dates, the difficulty is that everyone will have a different date in their mind. Continue reading “Major Milestone Tracking – By Darrin Kinney”

Mapping Primavera P6

If you work for the main contractor or doing an EPC contract, then there is already a well-established project controls systems and procedures applied enterprise wide, all the projects use the same approach and methodology, all you have to do is just learn it and fellow the procedures.

Now when you work for a subcontractor it become tricky, although there are already systems and procedure in place, you need to fellow the main contractor specifications.

In this blog, I will share a generic approach that is agnostic to the client’s tools, it is not a step by step tutorial as every client has a different systems and terminology, but I hope you can adapted it to your particular case.

First you can implement the mapping system in any database systems you are familiar with, you can use MS access, SQL server or any open source database,

I will use Cobra as the progress measurement systems and Primavera as the planning tool, this is only an example, any other combination will works, as we exchange data using Excel and we use activity codes as a reference,  all the planning tools support some kind of activity codes.

Why do we need mapping in the first place?

Updating a schedule is a time consuming task!! And it is prone to errors and personal judgement of the planners involved,  generally  the update process involve two steps.

  • Updating the facts ( Actual Start, Actual Finish, Earned Hours , remaining duration)
  • Review the update and analyse the results (critical Path, Forecast Curve) and check for any discrepancies, and thinking of mitigation plans if there are slippage.

If step 1 is done manually then obviously the planner will have less time for step 2, which I think is the most important Task.

I think a better approach is to make step 1 fully automated and let the planners do step 2 which cannot be automated (unless computer become self-aware).

 

How to do the mapping then.

  • Manual, most used approach, the planner open the progress spreadsheet and manually copy the hours and the new status, either by filtering or a pivot, or on ad hoc basis (nice word to say guess work).

 

  • Primavera activity ID is manually assigned to cobra, Cobra then will make an export with the new status grouped by activity id, the disadvantage of this approach is, it is hard to maintain when the take-off change which is natural fact of life in construction projects and there is no transparency why the mapping was done in such way, still it is way much better than the first one.

 

  • Dynamic mapping: instead of manually assigning activity id in cobra, we define a new primary key in P6 that based on fixed rules will automatically generated link to Cobra.

How this dynamic mapping works:

Capture

We don’t use Primavera activity id, instead we define a new natural key, let’s call it P6_PK, this key define the exact scope of work of one activity, in this example we have two type of activities:

We can use this P6_PK as the activity id, but if you have already a baseline, you can’t touch the activity id and sometimes the default length of the activity is too short.

Let’s define some terms:

Activity Level 3: P6_PK  is  Area|P6 price code

Activity Level 4: P6_PK  is  Group|P6 price code

– Group: a group of tags that have common characteristic: by subsystems, major package, cables grouped by destination, or origin or whatever the schedule is grouped by. Or simply how you think the work will be done.

– P6 price code: the MTO has a very detailed breakdown for the price, obviously we can’t use them otherwise we end up with a massive schedule, instead we group the code to a manageable level.

In P6 (or MS Project or whatever you are using) define new codes, Area and P6 price code.

Create two tables.

P6 price code: define how you group your MTO Price code to P6 price code

Group:    define how you want to group your tag.

The Database will look up the group from the group table and P6 price code from your P6 Price code, then generate P6_Pk from that then we get the activity id.

Obviously I just outlined the fundamental concept, in real project, it is much complex, P6 price code may have different level of details in the same schedule, and some tags may have different groups based on the type of activities, we may keep excavation at the level 3 but pouring concrete for foundations at level 4.  (Hint you can new dimensions to your dictionary tables)

Please notice I use Level 3/4 just for the purpose of mapping, it is not to reflect the level of the schedule which is an open question. (Two planners will tell you different thing)

 

The output of the system:

  • The new status of the activities. ( import back to P6)
  • The new scope that are not mapped.( update the new groups and price code eventually)
  • The activities that used be mapped but now lost the scope ( statue them as completed, as there is no more scope)

The time to update P6 was significantly reduced (by order of magnitude), the system was implemented using PowerPivot/Power Query as filtering and manipulating huge list of data is more convenient in Excel.

 

The challenge

The biggest challenge was how to combined all the weekly export from cobra in Excel and combined them in one table and add other data from other systems to get a format required for the mapping, if you are an SQL ninja it is doable but if you are a planner what you do, there was no easy answer before, but now we have it, Build a data-warehouse in PowerBI, but that’s a blog for another day.