Connect Data from Yext to Sisense

You can get your Yext data into Sisense to make more informed business decisions. This simple and quick guide gives you easy instructions on how you can extract your data and then analyze it.

Yext

Yext is a location data management software that automatically syncs your information across 50+ major local directories and search engines. Yext lets you store, manage, edit, customize, and sync information about your locations across all Yext products, including: Business Name, Address and Phone Number (NAP)

Sisense

Sisense is an amazing business intelligence platform which lets you join, picture out and analyze information you need to make more intelligent and better business decisions. With Sisense, you may easily unify all your Facebook Ads data into visually appealing dashboards through a user-friendly drag and drop interface. Its intuitive business intelligence reporting component is an important element of a software stack which also includes incredible tools to prep, connect, and govern data use.

Extracting data

Before loading your data into Sisense, you will have to prep it first. If you don't already have a data structure in which to store the data you retrieve, you'll have to create a schema for your data tables. Then, for each value in the response, you'll need to identify a predefined datatype (INTEGER, DATETIME, etc.) and build a table that can receive them. Google Ecommerce's documentation should tell you what fields are provided by each endpoint, along with their corresponding datatypes.Complicating things is the fact that the records retrieved from the source may not always be "flat" – some of the objects may actually be lists. In these cases you'll likely have to create additional tables to capture the unpredictable cardinality in each record.

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Preparing data

Click Knowledge Graph in the top navigation bar.Select the entities you would like to export. Otherwise, it will default to export your primary entity type.Click on the More Actions button and select Export Entities.Review the Data Format and File Format of your export.To export historical data that was previously stored in the platform, click Edit in the Export Data as of field, select your desired option, and click Save.Note: You can export data up to 30 days after an edit was made. To make other changes, click on the Edit button for the desired setting. Then click Save.Click Continue.(Optional): Select an Export Scheme to export the data in a specific format.This allows you to export data in a specific format so it can easily be uploaded to a third-party platform.Select the checkboxes next to the fields you would like to add to the export.(Optional) To reorder the fields, click Actions next to the desired field, and select Configure. Then drag and drop the fields into your desired order by clicking on the three lines (mceclip0.png).(Optional) To rename the column names, click Actions next to the desired field, and select Configure. Then type in any text into the Column Name textbox.Click Continue to export your entity information.(Optional) To save your export for the future, enter a name for your export in the text box, and click Save Export.

Loading data

Sisense is great as it enables quick and easy access to tables within your CSV files. You can upload data in two ways. The first option is to upload your data file to the Sisense Server. As soon as the file is uploaded, your data would be imported into the web-based ElastiCube as it was at the time you uploaded the file. The other option is to define your file location on the Sisense Server. You can import your Instagram data from the CSV files by following these steps: Create a new ElastiCube in the Data page of the ElastiCube Manager. Click in the ElastiCube.  You will see the Add Data dialog box. To open the CSV settings, click CSV. Click on File Upload. To upload your data file, click Browse, and then navigate to the file that you need to upload. Now select the CSV files you want to upload and click on Next.  You will see the Select Table list. You have to click on to select preview the relevant columns and then display the Settings. These settings provide more options to customize your data. You can define the following settings in the Settings area:• Culture: This defines various settings, like the format of your date.• First Row has Field Names: This enables you to easily specify column names in the table depending on the first-row header of the spreadsheet.• Delimiter: This allows you to select the character which separates different values within your CSV file. After selecting all the required tables, click Done. Your tables will be added to the schema in Sisense.

Keeping data up to date

If you've made it this far, congrats! You probably have a written a program or script to extract your data and move it into Sisense. Now it's time to think about how you will keep this data up-to-date by loading updated or new data. Of course, you can just replicate all your data every time you have updated your records, but that would be extremely manual and time-consuming. Luckily there is a better way. The key is building your script so that it can sense incremental updates made to the data. Thankfully, Yext’s API results include fields so that you can identify those records which are new since the last update you made (or since the most recent record you have copied). Once you have taken new data into consideration, you can easily set your script either as a continuous loop or cron job to pull down new data as soon as it appears. And keep in mind that, as with most codes, once you write it, you will need to maintain it. In case Yext changes its API, or if the API sends a field containing a data type that your code does not recognize, you might have to change the script.

The Easiest And Fastest Way To Do It

If all this sounds a bit overwhelming, don't worry -- there is an easier way to get this done! Thankfully, products like Improvado were developed to move data from Yext to Sisense automatically. Using Improvado, you can easily combine the most crucial and relevant data from your ad campaign into a dashboard. You can then connect this data to Sisense.