80% of the world’s data has a location component. Amazing right? Data is everywhere now and the list of things it could do is limitless!

According to Ohio Geographically Referenced Information Program (OGRIP) “80% of data collected, stored, and maintained by local governments includes some reference to geography.”

The way cab aggregators have inspired a revolution in daily commuting and hiring is phenomenal and has brought immense disruption in the transportation segment.

Using the map as a platform to connect the consumer to the cab has transformed day-to-day commuting and has led to many new models of hiring and sharing cabs. This, in turn, has led to the rise of the on-demand economy or what we call the ‘gig economy’.

So, what is "Gig economy?"

A gig economy is characterized by the prevalence of temporary jobs such as short-term contracts or freelance work, as opposed to permanent jobs.

A study by Intuit predicted that by 2020, 40% of American workers would be independent contractors. With the rise in technology, in this digital age, the workforce has become very flexible and employees are more contractors than regular employees.

Although this shift has sparked fierce debates considering the effects on the economy, we strongly feel this shift has encouraged a huge new wave of entrepreneurship and possibilities that was non-existent before.

Maps and the Spatial Information Platform

“Maps are 100% content” – Edward Tufte

Harnessing data and information analytics is going to be the biggest differentiator for most business that depend on location.

Maps and the Spatial Information Platform (SIP) will transform from being just data aggregators to providing analytics and insights into consumer tracking and behaviour, traffic movements, target audience – and these are just a few. The possibilities with maps and the spatial information platform are limitless!

Carly Fiorina, the CEO at Hewlett-Packard (HP) rightly said, “the goal is to turn data into information, and information into insight.” Through analytics, companies can interpret data in many new ways, this will provide a whole new perspective to the way information is perceived. Our data is really only as good as the way it is analysed.

XOOCAR - From Data Aggregator to Data Science

XOOCAR provides a unique platform that has transcended from being just a data aggregator to becoming a data science company in the transportation segment.

By using data science on top of Google Maps API, they focus on providing affordable, reliable, and comfortable rides to commuters. By analyzing consumer behavior, commuting pattern, preferences of choosing a cab type, they provide targeted information to users.

XOOCAR allows tracking of your driver’s identity and cab identity on the go. This provides a safer transportation experience as only verified chauffeur’s/drivers can be a part of the process.

Safety is a growing concern in today’s world and it definitely plays a profound role in the experience of the customer throughout their entire journey using the platform. With the entire process automated, the experience provided is very smooth and pleasing – just what the modern urban commuter needs.

Why Data Science matters to XOOCAR

Data Science has indeed brought a critical difference to the experience in commuting and has allowed the XOOCAR to give more focus to the ‘human’ aspect of the entire journey.

By properly analysing past data, XOOCAR provides more personalized experiences, based on trends, for their users; allowing more efficient interaction between the company and its subscribers.

Without professional expertise that will turn information into actionable insights, big data is practically useless. Here’s where expertise or an idea transforms to innovation.

Growing from 100,000 subscribers in just five months from April 2017, XOOCAR is expected to reach a whopping 500,000 subscribers. Judging by the tremendous pace of growth, the profound impact spatial information has played in driving the data science algorithms, and consequently, the growth of the company is quite evident.

These algorithms, powered by quantifiable and data-driven evidence, will effectively rule out the need to take high-stake risks.

The XOOCAR platform with data science at its core is a transportation platform which facilitates the exchange of accurate information where maps and geospatial information are bringing substantial value into analytics.

Data science makes use of past data to make future predictions. In a world where the global travel industry is expected to grow to 10 percent of the total GDP by 2022, greater business intelligence means bigger bucks.

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