This article is about guiding you through the creation of a computation. 

Pre-requisites: 

• You have the permissions of the Architect role
• You know what a Computation is
• You know what an Attribute is

Step 1: Create a computation

1. Go to the Data Science Studio Springbok https://springbok.madkudu.com/
2. Duplicate your live model and open this new model (which would not be flagged "live") Click on Open.
3. Click on Customer Profile.
4. Click on Computations.
   
5. Click on New computation.
6. Select the Type of computation.
   1. Numeric: output is a number or a boolean (0 or 1, true or false) 
   2. String: output is a text
      
7. Click on Next.
8. Configure the computation.
   1. Computations Name: use only lower case and underscore instead of space. The computation name must be unique and different from attributes names.  
   2. Mode of Configuration: select among the 3 following choices.
      1. oneToOne: simple mapping of an attribute mapped in the attribute mapping from your custom field.
         • In Configuration, select the field to use as a computation
      2. conditional: for a computation based on the condition of other computations or attributes.
         
         • in Configuration, select the rule of the computation e.g. "IF hg_tech contains Segment THEN 1" 
      3. advanced: for building advanced computation in SQL. This requires understanding of the MadML language.
         • In Configuration, in the text box enter a SQL condition.
           e.g. "COALESCE (industry, industry_salesforce)" 
           "CASE WHEN (LOWER(zi_job_title) LIKE '%product%design%'  OR mk_job_title LIKE '%product%design%' ) AND LOWER(zoominfo_industry) LIKE  '%fintech%' THEN 1  ELSE 0 END
9. In the section Context, select either
   • Configured, if the computation you are creating only uses MadKudu standard computations  (computations not created for your account specifically).
   • Custom attributes available in realtime, if the computation you are creating uses Account-level Attributes from your CRM mapped in the Attribute mapping with the flag "real time". 
   • Custom (built on CRM) fields, if the computation you are creating uses Attributes from your CRM mapped in the Attribute mapping without the flag "real time"
   • ignore the last choice Scripted
     We lost you there? We know it's confusing, we're working on making this seamless and your feedback is appreciated!
10. In the section Tags:
    
    • Check Customer Available 
    • Check Most Frequently used 
       
11. Click on Save.

Repeat the same for all the computations you would like to create.

Step 2: Deploy the computation(s)

Now you should be back on the computations list page.

You have just created a computation, which means you have added it to the library of computations, but now you want to visualize the impact on conversion of this computation. We need to Deploy & Reload the dataset to visualize it in the Univariate Analysis. 

Clicking on Deploy & Reload dataset will start the process of enriching again the dataset -> NB: it can take a few hours depending on the size of the dataset. You will receive a confirmation email when finished. 

Step 3: Visualize the impact of the computation on conversion 

Once the datasets are done reloading from step 2:

1. Head to the Data Science Studio > Univariate Analysis
2. Search your computation.

Congratulations! You've created a computation ;) 

F.A.Q

1) Do I need special user permissions to be able to create a computation?

You will need to have the Architect user permissions. This can be provided by any admin on the platform. 

2) Why don't I see my field in the list to configure my computation?

You would first need to:

• make sure your CRM field is being pulled to the MadKudu platform.
• map your CRM field in the Attribute mapping  page in the app to be able to use it in Springbok.

3) Can