Tuesday, March 15, 2016

Data Analytics for Restaurant

Data works in two directions. Firstly, it gives businesses access to unprecedented volumes of real-time data about customer behaviour, preferences and context. It also provides consumers with information about where they should go for the best product range, experience, and pricing.

Thanks to smartphones, consumers have this information at hand whenever they research purchases, shop, and interact with brands.

Consider, for example, someone in a mall looking for the best nearby restaurant. He or she will look up nearby pizzerias on Apple or Google Maps or look up best restaurants on Zomato’s app. This provides the local owner of a pizzeria to target him or her with a contextual ad and perhaps an offer for a complimentary drink.

Think about someone trying on a jacket in a clothing store – having checked out the colour and the fit, he or she may decide to find the cheapest price and order it online. This may be done via their mobile phone, a mobile app or a tablet, for next day delivery. Why not offer to match pricing from the biggest online competitors in a PPC ad when the customer does his or her mobile search on Google?

The trail of behavioural, location, demographic and even psychographic data customers leave behind as they use mobile search and social media enables us to understand consumer behaviour and personalise messaging and right place right offer opportunity. Bear in mind that is aggregated customer data rather than information that identifies them personally.

Continue reading at Memeburn.


Restograph

Brian Dimarucot, Bud Britanico, Chino Adasa, and Sky Salanio co-own an inasal (chicken barbecue) restaurant and they wanted a way to get their sales data without going to the store and printing the transactions recorded on their legacy point-of-sale (POS) machines or calling their manager to ask about the day’s figures.

So they created Restograph, a software-as-a-service platform, which doesn’t only gather but also transforms their POS data into readable trends and projections, therefore helping them strategize better and grow their business.

Dimarucot says Restograph is perfect for small and medium-sized restaurants that share the same pain.

“We want restaurant owners to use Restograph as a business intelligence tool so they can discover ways to improve their bottom line.”

In today’s world of big data, business intelligence is benefiting businesses in amazing ways. In a nutshell, it gives companies the big picture of their operations and helps them understand where they are and where they want to go next.
Restograph’s business intelligence platform powers up ordinary POS systems

How does Restograph work?


Clients would export their transaction reports from their POS to Restograph, as a CSV file. From there, clients can see their POS data transformed into insight on consumer demographics, demand, and behavior. Clients can then process and analyze their POS data and discover sales trends and projections.

With Restograph, restaurant owners can get data from their POS from their laptops, tablets and mobile phones. They can also immediately spot menu items that sell easily, track their monthly, weekly and daily sales, and analyze trends and opportunities.




Restograph also offers “extensions” or add-on features for their clients. For instance, owners may get a Twitter or Instagram extension, which will allow them to monitor what consumers are posting or sharing about their restaurants or products. Another extension is movie theater schedules, which owners can use in crafting promos to capture foot traffic from the cinemas.
Learn more about online POS in the Philippines

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