Data quality, a major challenge for business management Each year, 10 to 15% of the data contained in the Customer databases are subject to changes related to, among other things, addresses, telephone or company name changes. Improving the quality of the client database also requires deduplication actions and better organization of their business data. It is always possible to use traditional techniques such as “siretisation” of addresses for French customers, optimization of the management of the DUNS number internationally or even the certification of addresses with the help of specialized third-party companies. But today, there is a much more innovative and efficient approach, the analysis and the recovery of the addresses thanks to the geocoding!! What does that mean exactly ? The geolocation of its customers involves the geocoding of addresses, namely the addition of X, Y coordinates in order to be able to visualize on the basis of the map, the positioning of prospects and customers. The geocoding will reveal ‘visually’ and in a very explicit way the problems (Addresses nonexistent, duplicates, …). Today, geocoding engines allow geocoding addresses in more than 140 countries How it works ? When you run a geocoding on an […]
All is about location in Public Transports: stations, lines, customer location, customer destination, train location… In the near future, we can guess that public transports will continue to grow up as cities continue to expand all other the world with car traffic and pollution issue. To be successful, public transports have to face many challenges to become more efficient, quicker, safer, greener and smarter. Innovation such as IoT, IA and Predictive Analytics will contribute to make things easier. Some of the challenges have been listed in the following post SAP Digital Boardroom Improves Public Transport Insights on Repairs, Delays, and More written by Iver Van De Zand, Business Analytics Leader at SAP. But all is about location in Public Transports: stations, lines, customer location, customer destination, train location, failures, events… Let’s see how Location Intelligence makes analytics operational. Maintenance and supervision Location Intelligence allows to Optimize resource planning through spatiotemporal analysis of historical data (Cold data). These location analytics explain what kinds of issues happen where and when, with which impact on traffic or customer service, and so help to define the relevant workforce in each sector Allocate workforce to issues according proximity and availability thanks to real time notification […]
In the beginning God created the heaven and the earth. And the earth was without form, and void; and darkness was upon the face of the deep. And the spirit of God moved upon the face of the waters. And God said, Let there be light: and there was light.
And God saw the light, that it was good: and God divided the light from the darkness. …
This was the beginning of Creation, and we could say that it was binary in nature: heaven-earth, light-darkness. Time was thus also created as day and night also came into being. Every day other “things” were created, and the World became more and more crowded.
The word triad Safer, Faster and Cheaper is counter intuitive. In general, if something is Faster it will most likely be pricier and/or riskier. Yet, thanks to Location Intelligence and Analytics it is possible to reconcile these terms to increase quality and improve business outcomes. Here we give an example related to commercial air travel…
The 3 cores of Location Intelligence By Olivia Sedant, Galigeo Business Development Location Intelligence is known as the use of spatial reference for the improvement of Data Visualization, Analysis, and Event Forecast. Through the connection of alphanumeric and spatial data an additional and intuitive view is created, which makes it possible to recognize spatial patterns, trends and potentials.