|Master Tomato Gardener|
Blind spots are defined as, “Areas where a person's view is obstructed.” Many business decisions today are still made based on conjecture (unsubstantiated assumptions), because the data needed to make a data-driven decision lies in an operational “blind spot.”
Smart companies when designing mobile applications consider how they can personalize the user experience. They ask themselves how they can utilize all the accumulated data they have collected on their customers or prospects, plus third-party data sources, to make the experience as beautiful and pleasurable as possible. To start, they can often access the following kinds of data from their own and/or purchased databases to personalize the experience:
- Demographic data
- Income estimate
- Credit history
- Education level
- Marital status
- Social media profile and sentiment
- Job title
- Purchase history
- Locations of purchases
- Preferences, tastes and style
- Browsing/Shopping history
Sensors connected to the IoT (Internet of Things) will play an important role in reducing blind spots. Sensors, often cost only a few dollars, and can be set-up to detect or measure physical properties, and then wirelessly communicate the results to a designated server. Also as smartphones (aka sensor platforms) increase the number of sensors they include, and then make these sensors available to mobile application developers through APIs, the competitive playing field will shift to how these sensors can be used to increase the level of personalization.
Let’s imagine a garden supply company, GardenHelpers, developing a mobile application. The goal of the application is to provide competitive differentiation in the market by offering personalized garden advice and solutions. The GardenHelpers use the following smartphone sensors in their design to provide more personalized gardening advice:
- GPS sensor (location data)
- Cell Tower signal strength (location data)
- Magnetometer sensor (location of sun)
- Ambient light sensor (available sunlight)
- Barometer sensor (altitude)
- GIS (geospatial information system on terrain, slopes, angles, watershed, etc.) data
- Historic weather information
- Government soil quality information
- Government crop data, recommendations and advice
GardenHelpers now understands a great deal about the gardener (mobile app user), the garden location, size, lay of the land and sunlight at various times. However, there remain “blind spots.” GardenHelpers doesn't know the exact temperature, wind speeds, humidity levels, or the amount of water in the soil of the garden. How do they remedy these blind spots? They offer to sell the gardeners a kit of wireless IoT sensors to measure these.
With all of this information now the blind spots are now greatly reduced, but some remain. What about local pests, soil issues and advice? GardenHelpers adds a social and analytics element to their solution. This enables gardeners to share advice with other local gardeners with similar garden sizes and crops.
GardenHelpers can now deliver a mobile app that is hyper-personalized for their customers and prospects. The products they offer and recommend are not selected randomly, but are now based on precise smartphone and sensor data. The mobile app combined with the IoT sensors become an indispensable tool for their customers which leads to increased brand loyalty and sales.
Writer, Speaker, Senior Analyst
Digital Transformation, EBA, Center for the Future of Work Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Browse the Mobile Solution Directory
Subscribe to Kevin'sYouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies
***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and digital transformation analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.