Teaching Note — IBM at the Crossroads
of McGraw-Hill Education.
themselves. IBM made its first foray into the cloud in 2007. The “Blue Cloud” was a combination of
software and hardware components through which IBM sought to provide customized, cloud-based
services for its clients. The company expanded into Cloud Computing Centers in 2008, to enable its
clients to transition to virtualized data centers. Later that same year, it added cloud consulting and
technology services, as well as a cloud-based certification program. It also announced an alliance with
Google to promote educational and commercial cloud-based services. The companies hoped that IBM’s
reputation would drive the sale of Google Apps, while IBM would provide the necessary infrastructure
and services. In its efforts to maintain its reputation as a “reference point” in the industry, IBM has
staked some kind of initial claim on almost every emerging cloud front.
Data analytics (“IBM’s Data Analytics Initiative”) resulted from firms having more information
available than ever before. For example, it is estimated that Walmart collects more than 2.5 petabytes
of data every hour. As a result, IBM, SAS, and other firms are lining up to help customers use the data
they amass. Data analytics, also called Big Data, examine the growing amount of data firms collected
to identify patterns or other relevant information so that managers can make better decisions. The
business implications of data analytics can be compelling. For example, Netflix analyzed its subscriber
data to develop its hit show “House of Cards.” With appropriate data analytics platforms, firms can
boost sales by making relevant recommendations to customers, increase efficiency of operations, and
reduce fraud. In 2009, IBM moved into data analytics with a massive advertising campaign to promote
the idea of building a “smarter” planet. IBM has embraced social media and enjoyed a huge marketing
success by having its computer Watson compete on Jeopardy!, the television game show.
In 2015, Rometty doubled down on the current strategy with a $4 billion investment in “strategic
imperatives,” which included cloud computing and data analytics. However, increased profits and
sales growth from those areas have not offset declining revenues and IBM’s stock price. Will continuing
the current strategy meet current competitive demands, grow revenues, and enable Rometty to avoid
being the CEO that failed IBM?
Suggested Questions
AnAlySIS: FocuS on InternAl And externAl envIronMent
1. Perform an industry analysis for each of IBM’s top market segments: services, software, and
hardware. Are these attractive industries? Why or why not?
2. Looking at IBM’s resources, capabilities, and competencies, can IBM gain (and sustain) a
competitive advantage? Why or why not?