Datasiq checks your spreadsheets, apps and databases, tells you in plain words what is wrong and what to fix first. Nyksen, its assistant, answers your questions. Nothing changes without your yes.

No card needed

Every task on your data, start to finish, without leaving Datasiq.

One place for everything you do with data. Today you connect, check and ask about your data here, and approve fixes to spreadsheets. The rest of the work is coming, step by step.

• 

  Restaurant and food chains

  Restaurant groups, quick service and cafe chains, from 10 to 200 outlets.

  ToastPetpoojaTally

  Square, QuickBooks and Xero are early-version connections.

  Today: Find duplicate orders, missing totals and odd prices in till and order data, and ask Nyksen which outlet sold what.

  Live now: Which outlets’ till sales never reached the books, per outlet and per day.

• 

  Multi-store retail

  Retail brands with a handful of stores or a few hundred.

  LightspeedClover

  Square and NetSuite are early-version connections.

  Today: Catch products listed twice, blank prices and odd values in sales, product and stock data.

  Live now: Which stores’ card sales never arrived as a payout, and which store’s refunds jumped.

• 

  Ecommerce brands

  Online and omnichannel brands selling through their own store and marketplaces.

  

  Google Analytics is an early-version connection.

  Today: Check orders, payments and customers for repeats and gaps, and ask Nyksen where sales dropped.

  Live now: Which orders were paid but never shipped, or refunded twice.

Photos: Nathan Dumlao, Keren Roeglin, Bench Accounting, Vitaly Gariev, Unsplash.

Stores

Example data from a demo restaurant group. The Stores page: every store matched across the till and the books, with its payouts and leak checks.

• Tills against books

  Per store, per day, down to the cent, with refunds counted on both sides.

  
  

• Tills against payouts

  Card sales that were rung up but never arrived as a Square or Stripe payout.

  
  

  

• Leak check

  A store whose refunds, voids or discounts jump well above its own history and the other stores. The same item priced differently across Square locations.

  
  

• Online orders

  Orders paid but not shipped, refunded twice, cancelled but still charged, totals that do not add up, and disputed charges.

  
  

  Example findingOne order was paid and never shipped. Another was refunded twice.

• A Stores page

  Every store matched across the till and the accounting system, with its books, payouts and leak status in one row. You can match or unlink a store yourself.

  Example findingDT-01 in the till is Downtown in the books. Match them once.

• An email to the owner

  A short note on the stores that need a look, so you do not have to open anything to know.

  

  Example finding3 of your 12 stores need a look.

New to it? “Set up your stores” walks you through the first run: connect your tills, connect your books, and check that your stores are matched.

Screenshots show example data from a demo restaurant group, not a customer; the sample email is made-up too. The other example findings are wording only. Square, QuickBooks and Xero are early-version connections. Cafe photo: Vitaly Gariev, Unsplash.

• Does my data leave my database?

  Where the database supports it (PostgreSQL first), no: the checks run inside it and only the results come back. Datasiq does keep a short preview of each source so you can see it, plus any files you upload. The Privacy Policy lists exactly what is kept and for how long.

• Can Datasiq change my data without asking?

  No. A fix stays a proposal until an owner or admin approves it. See how a fix works.

• What happens if a fix goes wrong?

  For a spreadsheet, Datasiq keeps the previous version before it writes anything, and undo puts it back. If someone edited the file after the fix, undo stops rather than overwrite their change, and the earlier versions stay in the file’s own version history. See how a fix works.

• Which databases and apps do you connect to?

  Spreadsheets and files, business apps, and the common databases, each shown with its status. See everything it works with.

• Do I need to be technical?

  No. You connect a source by signing in or entering a login, and Datasiq tells you what it found in plain words. If you have a question, ask Nyksen the way you would ask a colleague.

• Who is Datasiq for?

  You can use Datasiq on your own or with your team, for any work with data. Right now our focus is retail and restaurant chains: we compare each store’s tills with its books and its card payouts. See what it checks for a chain.

• What do you check for a chain?

  For each store and each day, we compare the till with the books and with the card payouts, down to the cent, and flag a store whose refunds, voids or discounts jump well above its own history and the other stores. For an online shop, we look for orders that were paid but not shipped, refunded twice, cancelled but still charged, or disputed. Square, QuickBooks and Xero are early-version connections. See the checks.

• Is it for big companies too?

  Yes. Larger teams get roles, approvals and an audit trail today. For single sign-on, your own region or a dedicated environment, write to us and we will tell you where each one stands. marketing@datasiq.com