Kenny Lee

VP, PMDO

December 1, 2014

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How Location Intelligence Benefits to Your Business?

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You have heard that over than 80 percent of enterprise data has spatial components based on IDC market. But what is Location Intelligence got to do with it? and how can it transform your data from an underutilized asset into a source of competitive advantage?

By mapping locations, agencies and businesses can find new insights about business operations and processes, and improve services for customers. For organizations, the use of business location data and GIS increases collaboration across the agency, along with improving business functions. In many instances, GIS software can be layered on top of CRM or ERP systems, making implementation very easy, and leveraging resources in new ways.

Location analytics is a critical business asset that will provide a competitive advantage by adding geographic and location context to information enables organizations to understand more about their customers, whether they are other businesses or consumers. It provides critical business insights, enables better decisions and improves processes and performance. Location awareness can benefit efforts in marketing, sales, and customer acquisition and retention; logistics and supply chain management; and financial and operational decisions, not least among them where to place retail outlets, business assets and people in various functions. It also can increase the value of technological innovations such as business and social collaboration, and even mobile technology that is used by the business and customers along with the analysis of social media commentary and other expressions of customer sentiment that could be part of big data efforts.

Here are a few examples of how location intelligence is being used today in a variety of different industries.

  • Site Selection: The decision about where to locate a new store or facility, is probably the most common application of location intelligence today. When location data is combined with available real estate, demographic data, current customers characteristics, and information on the most likely prospective customers, the resulting Location Intelligence can help identify a site location with maximum revenue potential.
  • Store Performance Management: Detect and categorize poorly performing stores and assess the strategies to uncover the relationship between stores, products and customer types that affect sales performance. In addition, location intelligence can be used to forecast and develop store-specific budgets and expectations based on the size of surrounding demographics and other location specific information.

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  • Risk Assessment: Location is extremely important in the insurance industry, where customers and natural disasters are both tied to a location. When a natural disaster occurs, insurance companies have the capability to instantly understand their claims exposure by visually plotting their customer data and the affected area on a map. This also allows them to more accurately estimate the number of resources they will need to service claims in an affected area.
  • Customer Preference: Understand who your consumers are and where and when they want to engage with you. Optimize retail stores for maximum customer engagement increasing profits and brand loyalty.
  • Healthcare: a significant percentage of disease is caused by environment.  There is a tremendous amount of knowledge to be gained and disease to be reduced or eradicated by understanding these effects.  Health records tied to user home and work location can be a massive benefit for researchers.
  • Government Public Affairs: Monitor and identify pollution violators.  Determine deteriorating areas of a city and revitalize.  Gain more input from citizen reporters and be able to analyze and take action.  Create transparency to stimulate self-regulation at scale.

Also worth reading:
Why SNO Is The New SEO For Retailers
How Big Data & Social Media Are Changing Retail
5 New Technologies Boosting Retail Sales
 

 

 

Hubert Tsai

Business Analyst

November 24, 2014

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10 Reasons You Should Be Using A Business Intelligence Tool

Why BI tools are fast becoming companies most important business strategy.

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Large retailers receive mountains of transaction numbers daily, and they know there are insights to be found in these numbers, but they first need to be translated into useful information and knowledge so that managers can use this information to respond to markets immediately.

In the past, staff would use a variety of analytic tools and methods, and managers would often ask assistants to spend more time gathering vast arrays of additional information. This was both time consuming and costly. Now, Business Intelligence (BI) tools are becoming the go-to solution for processing, visualizing and utilizing spatial data.

Here are the top 10 benefits of using a BI tool that should compel you and your team to start looking for a BI tool today:

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Chris Hubbard

@chriswhubbard Market Strategy

July 10, 2014

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The 10 Things That Will Make Or Break Retail Potential In Any City

Want to know the retail potential in any city? Look at these ten things first:

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Retail potential in a city can make or break your brand. If you’re a retailer or brand who’s ever thought about expanding or establishing your business in a new city, then you know how important assessing retail potential is, and hard it can be to do accurately. These days brands collect an arsenal of tools to help them do this effectively, but there are some basic fundamentals to retail potential that any brand or business can easily assess themselves. Here are the 10 you’ll need to start with:

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Edward Eng

Business Development Manager

May 29, 2014

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The Surprising Truth About Data – Why Process Is The Backbone Of Victory

A presentation by Edward Eng.

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Presentation Summary

Data and big data are terms that now permeate business conversation and yet clear understanding of what data means for business and how to leverage that data is often missing. In this getchee-8 presentation Edward Eng explains why the real power of data for business use lies in building a process.

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