Use of data
innovation for valuable solutions and competitive advantage Questions points
How did alibaba and ANT Financials use data innovation (from the case) to deliver
a solution to meet the value proposition?
• all active data usage from
the case
• all passive data usage from
the case
• all inverted data usage from the
case
The Alibaba Group of Businesses is renowned for using data in its
operations at all levels, from tactical to tactical-strategic. The unique
feature of Alibaba was to guarantee that the platform offered all the assets
that an online firm would require to flourish and, as a result, encouraged the
ecosystem's expansion. As such value proposition necessitates new skills in
network coordination and advanced analytics. The ecosystem managed by Alibaba
and ANT is far more financially sensible and customer-focused than conventional
sectors. Therefore, analysing measures evoked by Alibaba and ANT is crucial in determining
the various value acquisition processes needed in the utilization of data by
the firms in managing and expanding their market reach.
Technology advancements have made it possible for people and corporations
to gather massive volumes of data—both organized and unorganized- from various
sources. Thus, Big data is a key factor in a company's competitive edge. Big
data analytics are benefiting firms that are participating in big data in a
variety of ways. In the cases of Alibaba and Ant, data from various sources has
increased tremendously (Campbell, 2018). This trend has made it difficult to identify links and
reveal hidden correlations due to the complexity of large data. As a result, the
companies are now employing data analytics as a solution. The endeavor aimed to
get profound and rich insights to provide a competitive edge by better
comprehending clients, merchandises, and marketplaces. Big data is indeed
threatening old business models and upending established sectors (Shahid and Sheikh, 2021). Companies adept at utilizing
big data, like Alibaba, do better than those not. The rationale behind this is
that similar to brand equity, data equity is extremely significant and was
greatly optimized using a transformative process. Data was collected,
automated, optimised and further fine-tuned to meet the companies’ objectives
as a means of integrating active, passive and inverted data usage (Campbell, 2018). Since big data analytics
may define new concepts and help firms better comprehend their clients, merchandises,
and marketplaces, data and big data are the driving force behind creating value
for firms and a strategic edge.
Analyzing measures evoked by Alibaba and ANT is crucial in determining
the various value acquisition processes needed in utilizing data by the firms
in managing and expanding their market reach. For instance, businesses adept at
using big data, like Alibaba, do better than those not since big data analytics
extract concepts and help establishments better comprehend their clients, merchandises,
and marketplaces. Data and big data are the driving force behind creating value
for firms and a strategic edge. Moreover, data from various sources has
increased, and because of the complexity of this enormous data, it is
challenging to find and uncover hidden connections. As a result, data analytics
are invoked in cases where they provide organizations with particularly
beneficial knowledge. Therefore, the proper utilization of data is crucial in
the value proposition of Alibaba and ANT.
References
Campbell,
H. (2018, August 21). Everything Alibaba does differently — and better.
Retrieved from https://hbr.org/2018/09/alibaba-and-the-future-of-business
Shahid,
N. U., & Sheikh, N. J. (2021). Impact of Big Data on innovation,
competitive advantage, productivity, and decision making: Literature Review. Open
Journal of Business and Management, 09(02), 586–617.
https://doi.org/10.4236/ojbm.2021.92032