Restaurant Management System with Big Data - Malaysia

Big Data and Restaurants: Something to Chew On

Big data. It’s what Amazon uses to track millions of products and customers to deliver personalized buying suggestions whenever anyone visits its website. Or how Netflix recommends movies to keep its customers coming back. Maybe you’ve heard the term, but you don’t see how bigdata could possibly apply to your restaurant. It seems so big and so complex. Actually, big data isn’t that big anymore, thanks to tremendous gains in computing power, storage space, access to the cloud, and new software designed to help restaurants of all sizes unlock the secrets of their data and put useful information at their fingertips. The data from your POS, marketing, accounting, inventoryand scheduling systems is a vein of gold just waiting to be mined. Now your establishment can benefit from the same predictive analytics and business insights previously reserved for the likes of Amazon or Google. This guide will help you understand what big data is and how you can collect, measure and use it to make improvements to your operation and your customers’ dining experience. Big data can help you reduce costs and maximize your marketing ROI. It can lead to new customer insights, enhance guest service, build loyalty and increase profits.


What are you waiting for? Big data isn’t just for tech giants like Google and Amazon. Restaurants can take advantage of sophisticated analytical tools that just a few years ago were out of reach for all but the largest companies. With increased competition and growing demand for personalized service, you owe it to yourself and your operation to explore your big data options. At the very least, you’ll discover a wealth of information to explore and draw insights from

The Future of the Internet of Things Before It Gets Better

Right now, the Internet of Things (IoT) is primarily the realm of futuristic-minded early tech adopters. Think of the pioneers who use Google Glass to snap pictures, Nest to control their home temperature or turn to their smartphone to dim the light bulbs in their bedroom. In a decade, things will look much different. By 2025, the Internet of Things will become more mainstream, having an economic impact between $3.9 trillion and $11.1 trillion per year.

That’s a pretty staggering estimate, especially given that today the Internet of Things is still “in the early stages of growth,” according to the McKinsey report. While IoT has a lot of potential, getting it to become a more established industry could be challenging.

One of the primary reasons Internet-connected devices are still so rare is because often, each device requires its own separate operating software. Yet between 40 and 60 percent of the potential value of the IoT industry depends on devices being able to operate on the same software system, according to the McKinsey report. It’s onerous to manage dozens of software programs on your smartphone, along with all the push notifications and alerts. This is a fact of life that will likely get worse before it gets better, said Price.  “We are going to go through this phase where we have 10 to 15 different devices, and they will just be notifying the hell out of you, and you will have to turn them off manually.”

In addition to software applications needing to consolidate, for the Internet of Things industry to become more widely adopted, the buildings and city infrastructure we live and work in will have to become embedded with Internet connectivity for devices to seamlessly and continuously work.

The industry’s scalability will also be determined by a shift in our mindset. Indeed, as counterintuitive as it may seem, Internet of Things inventors and entrepreneurs envision a world where we spend less time glued to our smartphones, computer screens or other connected tablet. 

The long-term goal with inventors and entrepreneurs in the IoT space is pretty grand. By living in a hyper-connected world, we will all be more connected to each other, not less so -- as it sometimes seems in our current technology-driven world of smartphones, computers and tablets.

“The first round of the Internet is creating a very individualistic, detached experiences,” said Price. “In one way it has even taken us away from social networking. We are still in a box in a room. I think when the Internet becomes this kind of fabric on top of everyday life it will open up new opportunities to reestablish group and commonwealth experiences.”

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What is Big Data

Big data is a popular term used to describe the exponential growth and availability of data, both structured and unstructured. And big data may be as important to business – and society – as the Internet has become. Why? More data may lead to more accurate analyses.

More accurate analyses may lead to more confident decision making. And better decisions can mean greater operational efficiencies, cost reductions and reduced risk.

Big data defined

As far back as 2001, industry analyst Doug Laney (currently with Gartner) articulated the now mainstream definition of big data as the three Vs of big data: volume, velocity and variety1.

• Volume. Many factors contribute to the increase in data volume. Transaction-based data stored through the years. Unstructured data streaming in from social media. Increasing amounts of sensor and machine-to-machine data being collected. In the past, excessive data volume was a storage issue. But with decreasing storage costs, other issues emerge, including how to determine relevance within large data volumes and how to use analytics to create value from relevant data.
• Velocity. Data is streaming in at unprecedented speed and must be dealt with in a timely manner. RFID tags, sensors and smart metering are driving the need to deal with torrents of data in near-real time. Reacting quickly enough to deal with data velocity is a challenge for most organizations.
• Variety. Data today comes in all types of formats. Structured, numeric data in traditional databases. Information created from line-of-business applications. Unstructured text documents, email, video, audio, stock ticker data and financial transactions. Managing, merging and governing different varieties of data is something many organizations still grapple with.

Big Data Software