Connect Data from Instagram to Sisense
You can get your Instagram 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 from Instagram and then analyze it in Sisense. Our Instagram to Sisense connector allows you to access your Instagram Business data so you can easily manage various media objects, view metadata, and comments, and get reliable insights and metrics, such as reach, impressions, follower-like ratio, and likes. Integrate your Instagram with Sisense to turn your Instagram data into actionable insights. If the process of extracting data from your Instagram seems too complex, you can use Improvado, which will make this process a breeze.
Instagram is a very popular and free image and video-sharing app from Facebook. With over one billion active users, Instagram is a leading social media platform. Instagram offers businesses a wide range of incredibly powerful marketing tools.
The app is available on Android, Apple iOS, and Windows Phone. Instagram allows people to upload photos and videos to the service and also share them with their online followers or with a specific group of friends. You can choose from different types of ads, like photo ads, carousel ads, video ads, and stories ads.
Users can also view, like, and comment on posts shared by their friends on the app. An Instagram account collects data in an Instagram API data warehouse. Companies often have to extract that valuable data for analysis in their business intelligence tools.
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.
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.
Instagram API 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.
You have three options for extracting data from Instagram:
- You can export a report that you have created and saved.
- You can use a tool like Improvado. By leveraging Improvado, you can easily and quickly integrate, connect, and see all your Instagram data flow seamlessly into your desired visualization tool or database.
Improvado does not require any technical skills to operate. You can sync your data over with just a few clicks.
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 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, Instagram’s API results allow you to 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.
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 Instagram to Sisense automatically. Using Improvado, you can easily combine the most crucial and relevant data from your social media ad campaign into a dashboard. You can then connect this data to Sisense.