Search here

Can't find what you are looking for?

Feel free to get in touch with us for more information about our products and services.

Location Analytics: ‘Where’ is the Knowledge of Data


Digital Technology and Rediscovery of Geography

A substantial amount of data that Grepsr processes and provides to its business partners worldwide contains location-specific information. According to IDC, an American data research firm, 80% of data collected by organizations has location element, and according to ABI Research, location analytics market will rise up to $9 billion by 2016.

Apart from Grepsr, there are a number web-based companies—ESRI, SAP, Centigon Solutions, Spatial Point, Galigeo, MomentFeed, Sense Networks etc.—fully devoted to locating, collecting and managing spatial data, or providing location analytics services.

These days, almost all mobile operating systems and apps run with built-in location sensors. Social media sites encourage the users to enable GPS tracking, and take advantages of location-related features like check-ins and geotagging. Highlighting the location information in pictures with augmented reality and 3D visualization have become a commonplace in mobile apps and social media. 

It seems as if a new renaissance of digital cartography is taking place around the world, and location has been brought back to the center of everything.

So, why has location become so important like never before?

The reasons have much to do with the growing significance of big data, visualization, and analytics in business. In the age of big data, analytics has begun to occupy the central space in decision making and has become something like a ‘theory of everything’ in business.

The values of big data analytics in business analytics and that of location analytics in big data analytics are becoming more and more obvious. There is no turning back from the big data superhighway in which location analytics works as a navigator.

Location Analytics in Action

In December 05, 2012, Howard D. Schultz, president and CEO of Starbucks Corporation, announced that Starbucks had reformed its data analytics strategy, and had achieved major successes “as a result of the demography, the data, the science and the experience.”

Assured by the successful experimentation of the location-related data, Mr. Schultz further claimed, “Now I could spin around the globe and isolate many countries where we have opportunities.”

In fact, Starbucks is not the first—nor the only–company to understand and harness the opportunities location-related data and location analytics have unveiled. Many companies today heavily rely on location-specific data and analytics for leveraging their profits and for maintaining their competitive edge. FedEx Crop. and Wal-Mart Inc. are the forerunners in this area.

It is estimated that about 51% of the Fortune 500 companies have begun using Google Analytics, and an equal number companies depend on the data-smart start-ups for for doing the job. Even the mid-size companies have now begun to follow suit.

According to David Fogarty and Peter C. Bell, “By the turn of the 21st century, the birth of the analytics BPO was firmly established. A number of well-known Fortune 500 companies outsource and offshore at least some of their analytics.”

Business Implications of Location Analytics

There is a direct and strong correlation between the businesses and their locations. A good choice of location and effective marketing strategies based on the distinct realities of the location are the key to success in business.

As a data service start-up, Grepsr gets data-related jobs of aggregating, processing, and managing data about the physical addresses and geographical locations of business chains and retailers and the demographic distribution of certain areas from both Fortune 500 and mid-size companies around the world.

For us, it is a tangible sign of the growing role of location analytics in business intelligence. As a core analytics, location analytics has a number of implications. The major implications are:  

  • Getting a Better Sense of the Place – The fact is businesses never had a powerful tool like location analytics in their disposal that has now helped them to gather a vast amount of data of a place and its demography, its cultural milieus and consumer habits, the business that are already operating in the area and the opportunities available to the newcomers.
  • Mapping and Visualization – Today, companies have the benefits of visualizing a vast amount of data in graphs, charts, and interactive maps and take quick decisions based on the findings. With location-related data and analytics at hand, opening a business in a new location no longer feels like going on a blind dating. Instead, with predictive analytics, businesses can tell what the outcomes would be like.
  • Connecting with the Customers – Internet and advanced geospatial technologies have significantly improved the business capabilities of the companies in many fronts. With data and information, now businesses have better idea who their customers are and where they are. This knowledge has helped the businesses to become more proactive and to reach out to the customers and influence them through advertising and other customized services.
  • Knowing the Competition – Likewise, location Analytics has also become an important tool for better understanding the competitors in the market. By converting the subtle nuances of data into visualized information, it helps them to identify who the competitors are, how they are distributed across a location, and what strategies are working in their advantage.

In a nutshell, location analytics has become an indispensable tool for business owners to understand the underlying dynamics and specificities of a place in relation to marketing.

Related reads:


A collection of articles, announcements and updates from Grepsr


Data-Driven Decision Making: Why a Data Strategy is Business 101

Are you drowning in, or swimming through your data? Your business is likely flooded with data: customer intel, operational data, and market insights, pouring in like a torrent. And most enterprises, George Kobakhidze of ZL Tech says, “…are not drowning in data because of its depths, they are drowning because they don’t know how to […]

3 Pillars of a Powerful Data Strategy + Real-Life Examples (2024)

By the time you’re done reading this post, human activity on the web and across devices will generate 27.3 million terabytes of data. According to Bernard Marr, author of Data Strategy, in the 21st century, “every business is a data business.” What information do you want to collect? Where are you going to store the […]


IMDb Data Scraping: Turn Raw Entertainment into Actionable Insights

What if you could predict the next sleeper hit, build your own personalized recommendation engine, and forecast trending travel destinations? This isn’t science fiction. This is the power of IMDb data scraping.  IMDb is perhaps the most authoritative voice in movie and TV content for good reason — with 200+ million unique monthly visitors and […]

Benefits of Proactive Analytics

What is Proactive Analytics? How Netflix, Spotify, and Walmart Make Billions (2024)

Netflix, Spotify, Walmart, and other giants haven’t bet on their billion-dollar fortunes by shooting in the dark.  These companies’ proactive analytics allow them to curate hyper-targeted services that offer a core feature to their customers: personalization. The question is — are you still relying only on historical data to drive your business?  We’re living in […]


Boosting Business Intelligence with Managed Data Extraction

Did you know that Lotte, a South Korean conglomerate increased their sales up to $10 million thanks to Business Intelligence? Business Intelligence is the process of collecting, analyzing, and presenting raw data that is transformed into meaningful insights. It involves methodologies that ultimately aid the business in making strategic and actionable data-driven decisions. For a […]

data analysis guide

Data Analysis: Five Steps to Superior Data

This is one piece of a three-part series that looks at the various data analysis methods, techniques, and essential steps to ensure its superiority. According to Wikipedia, data analysis is a process within data science of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful insights, informing conclusions, and supporting decision-making. Data […]

Qualitative and Quantitative Data Analysis Methods

This is one piece of a three-part series that looks at the various methods, techniques, and essential steps to ensure superior data analysis. The majority of leaders from high-performing businesses attribute their success to data analytics. According to a survey done by McKinsey & Company, respondents from these companies are three times more likely to […]

Make Data Make Sense: Most-Used Techniques in Data Analysis

This is one piece of a three-part series that looks at the various methods, techniques, and essential steps to superior data analysis.

data analysis

Business Data Analytics — Why Enterprises Need It

Objectivity vs subjectivity The stories we hear as children have a way of mirroring the realities of everyday existence, unlike many things we experience as adults. An old folk tale from India is one of those stories. It goes something like this: A group of blind men goes to an elephant to find out its […]

Why Data Visualization Matters to Your Business

There are several reasons why we believe that visual representation of data is becoming an integral part of Big Data analytics or any other kind of data-driven analytics, for that matter

covid test centers

Insights into Covid-19 Test Locations in the USA

An analysis of coronavirus testing facilities — geographic distribution, types, franchises, and testing and turnaround times

data mining during covid

Role of Data Mining During the COVID-19 Outbreak

How web scraping and data mining can help predict, track and contain current and future disease outbreaks

Five Major Impacts of Location Data on Marketing

It’s not merely a coincidence that today almost all of the major business enterprises run online store locator services to their customers. They want their stores and services to be easily found and accessed. Moreover, they are extensively using location data to pursue their customers where they are and to persuade them to buy their […]

Data Extraction for BI: Picking the Right Services is Crucial

Finding the appropriate data warehousing and Business Intelligence (BI) platforms that can understand and address your business concerns, priorities, and needs is a daunting task. Specifically, the ones that can have cohesive approaches in generating and deploying your data

Data Mining for Developing Business Intelligence

The growing use of digital technologies in every sphere of life has resulted in the rapid escalation of digital data. While digitization of the facilities of everyday use has given rise to datafication, the process of datafication has produced a byproduct known as big data, which is regarded as a new oil of the digital […]

Maximizing the Benefits of Location Information Data: A Case Study

A good amount of location information with geospatial details is vital for developing and carrying out business plans Advantages of Location Information Data Obtaining and integrating location information data into the day-to-day business operation policies and practices are the vital tasks in business and marketing. A good amount of data with geospatial details helps businesses […]

Data Analytics for Better Business Intelligence

Advanced information technology has brought a massive paradigm shift in every aspect of human life We spend more and more of our working hours on the digital screens, either generating or aggregating digital data. Internet, what would have seemed something unimaginable only a few decades ago, has become an essential part of our daily businesses. […]

Data Mining: How Can Businesses Capitalize on Big Data?

In the recent years, data mining has become a prickly issue. The big controversies and clamors it has gathered in the political and business arenas suggest its importance in our time. No wonder, it is used as a household name in the business world. Data mining, in fact, is an inevitable consequence of all the technological innovations […]