Implementation of Big Data Analytics - Big Data Analytics: Disruptive Technologies for Changing the Game - page 68

Analytics Business Maturity Model
As I stated earlier, Big Data Analytics is a journey and can be implemented using
a number of iterative phases, each advancing the capability via well-deined yet
small steps to reduce risk. The Information Agenda team has observed a large
number of analytics programs worldwide and has developed a set of bench-
marks for analytics at different levels of maturity. These benchmarks have been
captured using a business maturity model that allows us to specify current and
target levels of maturity and what can be achieved in each phase. The model has
ive levels of maturity:
• Breakaway —A company that is generally considered to be the
best in the class in its execution of key business strategies, able
to exhibit the characteristics of an agile, transformational, and
optimized organization. This classiication excludes “bleeding-
edge” or pioneering aspects; however, these aspects may also
be evident in such companies. Key predictive performance
indicators are used in modeling for outcomes, and information
is utilized enterprise-wide for multidimensional decision
making.
• Differentiating —A company whose execution of key business
strategies through utilization of information is viewed as
generally better than most other companies, creating a degree
of sustainable competitive advantage. Management has the
ability to adapt to business changes to a degree, as well as
measure business performance. Business leaders and users
have visibility to key information and metrics for effective
decision making.
• Competitive —A company whose capabilities generally are in
line with the majority of similar companies, with a growing
ability to make decisions on how to create competitive
advantage. This maturity level is also the starting point to
establish some consistency in key business metrics across the
enterprise.
• Foundational —A company whose capabilities to gather key
information generally lag behind the majority of its peers,
which could potentially result in a competitive disadvantage.
Information is not consistently available or utilized to make
enterprise-wide business decisions. A degree of manual efforts
to gather information is still required.