In 2014, 5 of the 12 global HD OEMs were already independently and
through collaborations with IT companies engaged in developing Big Data
analytics. By 2019, all 12 top global HD OEMs are likely to leverage Big
Data analytics to increase their margins through sales, service,
maintenance, financing, and warranty cost reduction.
Vehicle driving and maintenance data monetization is increasingly
becoming a significant business activity for value chain participants,
most of whom lack experience or expertise in harnessing the potential of
Big Data. Predictive and prescriptive analyses through Big Data hold the
potential to deliver times the return on investment (ROI) in harnessing
Big Data.
Global Tier-1 suppliers are evaluating or implementing Big Data
platforms across their enterprises, with more focus on warranty and
parts management. Large Tier-1 suppliers such as Cummins, Wabco, ZF, and
Dana are expected to become increasingly involved in the prognostics
value chain with associated data analytics capabilities across their
product lines.
By 2020, emerging Class 8 truck sales and rental businesses are likely
to gain benefit from data as fleet managers begin to make purchase and
rental/leasing decisions based on "functional obsolescence (how long can
we run a truck?) and "economic obsolescence (when is the optimal point
to replace to a new truck?).
A sustainable Big Data strategy relies on collaborating and coordinating
among IT suppliers and internal IT functions within OEMs/Tier-1
companies. HD OEMs are expected to increasingly rely on IT companies for
Big Data analytics, securing vehicular systems, and developing
customizable design and service offerings.
OEMs are developing strategies to leverage Big Data to harness more
robust customer and dealership management systems, to better understand
end-user buying patterns and to accelerate their innovation-to-value
cycle. In North America and Europe, several OEMs are already ushering in
Big Data through telematics and prognostics.
Credit: Businesswire.com
No comments:
Post a Comment