Uploading data into Anna is simple! There's a few simple steps for any admin user to upload data into Hyper Anna.

STEP 1. Within the Datasets tab in Hyper Anna, click on blue "Add dataset via Admin Portal"

*If you are not able to view this button, please reach out to your Organisational Admin to set you up as an Admin profile.

STEP 2. Within Admin Portal, click on Datasets in the menu bar. Click on Add a New Dataset

STEPS: 3 - 6 Loading your dataset

STEP 3. Give your new dataset a name and click Continue.

Our recommendation is to keep it simple and reusable; dataset labels with dates/months (Supermarket_data_20200101), or version numbers (Supermarket_data_v2) are not recommended.

STEP 4. Choose your preferred data source, by clicking on its icon and clicking Continue.

There are two ways to connect data to Anna: direct database connection or .csv file upload. To learn about connecting to a Database click here.

STEP 5. Drag and drop/click to upload your .csv or .zip file, or connect to your supported database - review your data and press Analyse

Anna will provide a preview of your data, so you can validate that what you uploaded is correct before pressing Analyse. At this point we recommend checking your Date format to be in a YYYY format, Anna does not support YY formats.

If you are happy with the preview, press Analyse, at which point Anna will begin analysing your data. 

STEP 6: Confirm your column fields are correct and click Upload to Anna

If you want to change or update any selections, it’s quick and easy. You can update column headings, or simply toggle off columns you don't want to show in Anna on the right hand side. 

There may be some columns that have been greyed out by Anna, fret not! If it's still required for you to analyse them, simply toggle them back on. The main reason for Anna switching that column off is due to a large proportion of missing data in that column.

Anna will identify key attributes, and ask you to confirm if they are correct:


  • Dates: Indicators of time
    For the Date fields please specify your Financial Year Start Month and if it should be the Default Date. Default Dates are those which Anna will use as default in Discover and Search, unless otherwise specified in the Search question

  • Segments: Dimensions you can break your measures down by - e.g. Categorical fields such as Departments, Age Groups, Gender, Supplier Names

  • Measures: Fields Anna can sum or aggregate - e.g. numeric fields such as Sales Amounts, Quantities, Spend Amount, Expense Amount etc...
    For the Measure fields please specify if this is a good thing when it increases (e.g. its good when sales increases, it's not good when costs increases) and Can this be aggregated over time? Most of the time it is yes, unless you have something like a bank balance, where you cannot sum the balance over time.


It is really important to remember that you can change the column names in Anna, therefore we recommend trying to make them as natural language as possible. For example:

  • "Claim_Number" change to "Claims"

  • "Sale_Amount_inc_GST" change to "Sales"

  • "Dept_Desc" change to "Department"

  • "Vendor_Supply_Name" change to "Supplier"

Once you have completed your review, click Upload to Anna and that's it! Anna will automatically generate insights, meaning there's no need to start from scratch building dashboards, views, or visualisations. All of that is taken care for you by Anna, so you can get straight to discovering insights and making data driven decisions.

If something goes wrong, we have a troubleshooting guide to help

STEP 7: Explore your data in Anna & setup your Dataset settings


You're ready to explore your dataset, checkout our quick-start guide.

In rare cases, where Discover doesn't give you any insights, you can find out why using this Discover troubleshooting guide.


The final step before the data is ready for business users is to provide context on what Anna is calling out for your business. Learn how you can tailor the insights that Anna highlights to be relevant to your business here.

STEP 8: You're done! Time to give access to others!

Now you're happy with your dataset you can read this article on how to assign users to your dataset.

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If you have any questions, please contact us at support@hyperanna.com.

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