BIG DATA AND SMART HOMES THE BUSINESS CASE

Transcription

1 BIG DATA AND SMART HOMES THE BUSINESS CASE Matthew Fox 13 th February, 2015

2 MAIN MESSAGE PAYBACK IS ESSENTIAL BUT SLIPPERY

3 WHO GETS PAYBACK? Tenant or Landlord Needs to be Both Depends who funds cost of installation Return to landlord more persuasive Additional payments from tenant to landlord New Profit Centre Additional credit risk for landlord.

4 WHAT SORT OF PAYBACK? Cost and Quality Quality for Tenant Quality for Landlord Cash for Tenant Cash for Landlord.

5 WHAT LEVEL OF PAYBACK? Payback is Yield is Net Return Comparables Development 3% = 33yrs Solar 10% = 10 yrs Smart Home = 50% = 2 years Needs to be at make you sit up level Fast needed because tech changes so fast.

6 HOW TO MEASURE PAYBACK? It s hard.and therefore slippery 2 elements Existing cost / return Future cost / return In energy, allow for price, weather, comfort, user Need pilots to determine payback HA s attractive because can offer big pilots Understand historic costs Cost coming down so fast, so return is the key.

7 EXAMPLES 20,000 home landlord Initial installation costs 300 Each additional sensor costs 50 Some are now; Some are future.

8 Example: USE LESS ENERGY Purpose How Formula To have heating and hot water only when needed Smart Thermostat 20% of typical utility bill of 1,000 pa Prize per transaction 200 Transactions per year 20,000 Total prize 4 million pa for tenants

9 Example: FORMER TENANT ARREARS Purpose How Formula Prize per transaction Transactions per year Total prize To reduce losses on FTA s To use Big Data to trace former tenants 1% of 125million turnover written off each year. Assume recover 50% 625K pa n/a 625K pa for landlord

10 Example: KEYLESS ENTRY Purpose How To avoid need for tenant to be there to admit visitor Digital Door Lock Formula Cost of new locks and time Cost of lost work by resident - 40 Cost of maintenance no shows - 80 Prize per transaction New Keys : 200 No Shows: 100 Transactions per year 80,000 Total prize 2.6 million pa for tenants 1.8 million pa for landlord

11 Example: GAS SERVICING Purpose How Formula To avoid need for Gas Servicing visit Sensors to monitor boiler performance Cost of annual visit Prize per transaction 150 Transactions per year 20,000 Total prize 3 million pa for landlord

12 Example: ILLEGAL SUBLETTING Purpose How Formula To identify illegal subletting in flat Bio-metrics on voice, fingerprint or face Cost of new home. Assume 1% illegally sublet Prize per transaction 300,000 Transactions per year 200 Total prize 60 million!!!! for landlord/government

13 WHAT ARE PROBLEMS? Most don t yet exist; but will soon Products assume all homes have wifi Tech providers focused on tech not property Data is a mess. Need to score quality Separate projects or 1 big project? Products won t talk to each other Pilot Environments not tough enough Sometimes tech solution may not be best!

14 PROCESS Get colleagues and residents interested Instal a few to get a feel Offer yourself as a pilot You and residents will get paid Once you are confident, then ramp up.

15 PAYBACK IS KEY..BUT SLIPPERY DIP YOUR TOE IN!

16 MATTHEW FOX CONNECTED HOME CONSORTIUM MOBILE:

17 QUESTIONS