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jerryking : telematics   8

The Evolving Automotive Ecosystem - The CIO Report - WSJ
April 6, 2015| WSJ | By IRVING WLADAWSKY-BERGER.

An issue in many other industries. Will the legacy industry leaders be able to embrace the new digital technologies, processes and culture, or will they inevitably fall behind their faster moving, more culturally adept digital-native competitors? [the great game]

(1) Find new partners and dance: “The structure of the automotive industry will likely change rapidly. Designing and producing new vehicles have become far too complex and expensive for any likely one company to manage all on its own.
(2) Become data masters: “Know your customers better than they know themselves. Use that data to curate every aspect of the customer experience from when they first learn about the car to the dealership experience and throughout the customer life cycle. Having data scientists on staff will likely be the rule, not the exception.
(3) Update your economic models: “Predicting demand was hard enough in the old days, when you did a major new product launch approximately every five years. Now, with the intensity of competition, the rapid cadence of new launches, and the mashup of consumer and automotive technology, you may need new economic models for predicting demand, capital expenditures, and vehicle profitability.
(4)Tame complexity: “It’s all about the center stack, the seamless connectivity with nomadic devices, the elegance of the Human Machine Interface.
(5) Create adaptable organizations: “It will take a combination of new hard and soft skills to build the cars and the companies of the future. For many older, established companies, that means culture change, bringing in new talent, and rethinking every aspect of process and people management.
Apple  automotive_industry  autonomous_vehicles  ecosystems  Google  know_your_customer  adaptability  CIOs  layer_mastery  competitive_landscape  competitive_strategy  connected_devices  telematics  data  data_driven  data_scientists  customer_experience  curation  structural_change  accelerated_lifecycles  UX  complexity  legacy_players  business_development  modelling  Irving_Wladawsky-Berger  SMAC_stack  cultural_change  digitalization  connected_cars  the_great_game 
april 2015 by jerryking
New software allows insurers to track driving habits and personalize premiums - The Globe and Mail
OMAR EL AKKAD

The Globe and Mail

Published Monday, Aug. 19 2013,

The ability to monitor and adapt to the behaviour of individual customers, for example, was part of the rationale for last month’s announcement by Loblaw Cos. Ltd. that it will acquire Shoppers Drug Mart Corp. for $12.4-billion. Shoppers’ Optimum loyalty program will give Loblaw purchasing information on some 10 million customers.
Omar_el_Akkad  telematics  insurance  personalization  massive_data_sets  pattern_recognition  data_mining  sensors  meat_space  SAP  Shoppers  loyalty_management  Loblaws 
january 2014 by jerryking
Car Companies Tap Data Trove - WSJ.com
March 7, 2013 | WSJ| By IAN SHERR And MIKE RAMSEY.
Drive Into the Future
Your car knows a lot about you. And it's talking....Automakers are exploring ways to use information form cars on the road to improve the driving experience, car design, fuel efficiency and financing, among other things...Improving safety, however, isn't the only way car companies can use that data. Mr. Koslowski estimates that by 2016, up to a third of all interactions between car companies and their customers will happen in the vehicle. Car companies, for example, could collect and analyze data about how customers use leased vehicles, and based on that information suggest other cars a driver might like around the time his or her lease is expiring, he says.

"They can notice all the vehicle seat belts are occupied and they can say, hey, maybe you want a family vehicle," Mr. Koslowski says....In the coming years, auto makers like Ford, Audi AG NSU.XE +0.34% and others see even more potential in big data. They envision taking information from customers' typical driving patterns, schedules and movements on the road to recommend routes the drivers might feel more comfortable with, either because they prefer city streets to freeways or don't respond well to bumper-to-bumper traffic.
massive_data_sets  automotive_industry  data  pattern_recognition  traffic_congestion  data_driven  product_recalls  social_media  telematics  customer_experience  UX 
march 2013 by jerryking
The Next Boom in Mobile Devices Is the Car - NYTimes.com
October 13, 2011, 8:26 am
The Next Boom in Mobile Devices Is the Car
By QUENTIN HARDY
mobile  automobile  telematics  connected_devices  connected_cars 
october 2011 by jerryking

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