Monthly Archives: March 2017
By Matt Ball, Esri Writer
The Salt Lake City Department of Public Utilities has transitioned from an analog to an entirely digital workflow to manage and maintain its water, storm water, and streetlight operations. While it’s hard for some office personnel to remember working with paper maps, some field personnel clearly recall their experiences.
Try riffling through paper on a cold snowy morning, looking for the right mapbook to locate a meter. If the meter was installed less than six months ago, it likely hasn’t made it into your book. If you do find the location in one book, you’ll need to grab another book for more detail.
The first book gives you the block and the side of the street, while the second measures the distance from the curb. Unfortunately, the meter you need to service isn’t showing up in the second book. Work needs to be done, so days can’t be wasted getting an updated map. It isn’t long before you exit the cozy cab of your truck and start digging.
Written by Mike Dyer, Business Development Lead
Where? This is perhaps the most common question in government. Where informs our decision-making. Where improves our operational efficiency and quality of service to citizens. Where also enhances civic engagement.
Governments of all sizes recognize the critical role that spatial data plays in developing smart communities. Most governments have had GIS implementations in place for years, but CIOs today are looking for the practical knowledge they need to modernize those implementations that help enable smarter government.
If you have ever camped, hiked, or fished in a national forest, you probably picked up a visitor map at the forest’s office. The first-rate cartography of these pocket maps is sure to get you to your favorite campground or … Continue reading
Esri participated in the first UN World Data Forum , which took place January, 15–18, 2017, in Cape Town, South Africa. This forum convened to explore innovative ways to measure global progress and inform evidence-based policy decisions on the 2030 Agenda for Sustainable Development, which is a plan of action agreement among heads of state and government. Esri joined data statistics experts from government, national statistical offices, the private sector, academia, civil society, and international organizations to discuss interactive platforms that improve the use of data for sustainable development.
As retailers in 2017 continue to face headwinds, the competition is more challenging than ever. Customers are empowered by 24/7 access to the global marketplace. For many retailers, new store growth has slowed, so sales and margin growth are increasingly being driven more by incremental growth from existing stores. To continue to excel in this environment, every business should be mindful of three trends in retail big data:
- Sustainable growth – To grow sales in their existing stores, retailers must find innovative ways to reach customers and drive loyalty.
- Connected consumers – As consumers have become accustomed to growing transparency around the prices and quality of what they buy, retailers must find new ways to engage with and earn the loyalty of their customers.
- Explosion of big data – With the Internet of Things (IoT) maturing, retailers must leverage the vast amounts of useful data available within the network of devices and sensors that are connected online.
Retailers already have access to myriad data from sources like point of sale (POS), mobile devices, inventory management systems, and in-store sensors. As useful as this data is on its own, real insights happen when retailers can connect disparate data to see the conditions that bring success. And one powerful way to do this is by viewing data through the lens of location. Maps enable people to instantly spot and explore patterns and relationships in data.
Location is the common thread of data and enables decisions to be made about matters such as where to position existing merchandise and where to site new stores. Spatial analysis also allows retailers to more efficiently drive traffic through stores by effectively using the data typically only used in the online shopping environment. By tapping into insights derived from in-store sensors and customer mobile devices, retailers can make better decisions about where to allocate goods and employees in a strategic way that is targeted to consumer behavior. Forming a business strategy that leverages integrated location data helps retailers match the in-store customer experience with what consumers experience when shopping online. This is made possible by analyzing demographics, buying patterns, and customer movement in the context of space and time.
Spatial analysis is the key to understanding where, when, and why things happen. With this insight, retailers can engage existing and potential customers and spur in-store sales.