mobility analytics — uncovering the root causes that are limiting your mobile deployment
TRANSCRIPT
Mobility Analytics -Uncovering the Root Causes that are
Limiting your Mobile Deployment
Mike Allen, Strategic Account Manager, B2M Solutions
You Have Experienced the Pain- Where is the Gain?
• You made the business decision to mobilize
• Your mobile deployment is complete
• You have the scars from dealing with the technical challenges
• Where is your ROI?
Uncovering the Root Causes that are limiting your Mobile
Deployment
• Shift your way of thinking − view your mobile deployment as a way to gain the
highest profits and create the greatest differentiation
• Take a proactive control of your mobility deployment− target areas for
improvement
• Leverage Mobile Device Performance Analytics
• Adapt a forward thinking “lets change this because it’s not working as well as
it can” approach
• Understand which parts of your mobile infrastructure are impacting efficiency
• Define key metrics associated with your business processes
What Should you Measure and Analyze?
Measure what matters, enabling processes to be improved and optimized:
– Business specific Key Performance Indicators (KPIs)
– Benchmarking and best practice
– User adoption / reasons for poor adoption
– Worker productivity
– User disruption / device downtime
– Charging discipline and battery performance, infrastructure performance
– Worker behavior, patterns and habits
– Operational cost reduction
– Trialling of new processes and process improvements
Mobile Device Analytics Performance
Business Analytics
Technology
Analytics
MDM
On Premise
Business Analytics
Existing MDM
Technology
Analytics
Cloud Hosted
Utilization
Battery
Network
Disruptions
Customer
Specific KPIs
Utilization Analytics
• A real-time measure of how many devices are in use
• A parcel company deployed 4,600 devices across multiple sites
• B2M Software showed only 2,300 device were being used
• Based on an estimated cost of $1,000 per device this highlighted a capital underutilization of $2.3 million
Utilization Analytics
• Natural language sentence chart interpretation
• Overall picture of device population
• Review any individual day in the last 30 days
• Drill down to device level
• View by dimensions such as customer defined groups
• Device usage chart shows Days Used, Days Idle, Days Out of
Contact
• Each column is sortable to show the top devices in that category
Mobile Device Performance Analytics
Business Analytics
Technology
Analytics
MDM
On Premise
Business Analytics
Existing MDM
Technology
Analytics
Cloud Hosted
Utilization
Battery
Network
Disruptions
Customer
Specific KPIs
Battery Analytics
• Real time information on the status of your batteries
• A major retailer experienced productivity issues with their mobile devices
• B2M Software Identified that 15% of the total device count had batteries that were reaching end of life
• The customer replaced the device with ones that were fit for purpose and eliminated $350,000 in lost productivity per year
Battery Analytics
• Natural language sentence chart interpretation
• Overall picture of battery health
• Managing battery charging disciplines and maintaining appropriate
inventory of batteries
• Review any individual day in the last 30 days
• Drill down to device level
• View top 50 devices’ batteries predicted to fail
• Average discharge rates to indicate either battery or charger issues
Mobile Device Performance Analytics
Business Analytics
Technology
Analytics
MDM
On Premise
Business Analytics
Existing MDM
Technology
Analytics
Cloud Hosted
Utilization
Battery
Network
Disruptions
Customer
Specific KPIs
Network Analytics
• A measure of signal availability for WLAN and Mobile Data
• A commercial plumbing wholesaler experienced unexplained service interruptions
• B2M Software identified 22% of disruptions were due to network failure, pinpointed the 2 locations where the downtime occurred and the carrier responsible
• The customer reduce the downtime to just 3% by changing the carrier in those 2 locations
• The company recovered an estimated $240,000 per month in lost labor costs
Mobile Data Analytics
• Mobile data by network type
– Ability to compare cellular and WiFi data at the device level
• Natural language sentence chart interpretation
• Overall picture of device population
• Review any individual day in the last 30 days
• Drill down to device level
Mobile Device Performance Analytics
Business Analytics
Technology
Analytics
MDM
On Premise
Business Analytics
Existing MDM
Technology
Analytics
Cloud Hosted
Utilization
Battery
Network
Disruptions
Customer
Specific KPIs
Disruptions Analytics
• A real-time measure of user and system initiated reboots
• A facility management company was experiencing a large number of user initiated reboots
• B2M software discovered the issue was isolated to an application error
• The solution was a simple update to the application software
• The fix immediately eliminated an estimated 80 hours of reboot-related downtime each week
• That equates to recovering approximately $160,000 of non-productive labor costs per year.
Disruptions Analytics
• Natural language sentence chart interpretation
• Overall picture of device population
• Review any individual day in the last 30 days
• Drill down to device level
• Ability to determine system initiated and/ or user initiated
disruptions
• Will help identify user adoption / training or systems / application
issues
Mobile Device Performance Analytics
Battery Management
---------------------
Low Battery Notification
Discharge Rate for Device Type and Specific Device
Start of Day Charge
Number of Charge Cycles Per Day
Signal Strength
-------------------
Average Daily Signal Strength
Top 50 Devices with Weakest
Signal
Wireless AP
Anomalies in Coverage
Utilization of Devices
-------------------
Trend segmented by Used, Idle and Out of Contact
Total of Used/Unused in Last 24 Hours
Utilization by Location
Over/Under Utilized
Disruptions
-------------------
Reboots
User initiated
System initiated
Disruptions per device over last 30
days
Total disruptions by day for entire
population
Applications
-------------------
Applications installed
Top 10 being used
Top 10 causing the most battery
discharge
Correlation between
applications and battery discharge
Summary
• In order to maximise your ROI
– Consider the key metrics in your mobile processes
– Take a top down view which enables you to gain insights into these metrics
– Use analytics to blend with insights on the performance of your mobile
infrastructure to understand the root causes that are limiting your Mobile
Deployment
– Identify the choke points, bottle necks and exceptions
– Implement changes to optimize the process and productivity
– Expect more from your mobile deployment