Posts tagged ‘Accenture’

Nov 28

84% Of Enterprises See Big Data Analytics Changing Their Industries’ Competitive Landscapes In The Next Year

87% of enterprises believe Big Data analytics will redefine the competitive landscape of their industries within the next three years. 89% believe that companies that do not adopt a Big Data analytics strategy in the next year risk losing market share and momentum.

These and other key findings are from a Accenture and General Electric study published this month on how the combination of Big Data analytics and the Internet of Things (IoT) are redefining the competitive landscape of entire industries. Accenture and GE define the Industrial Internet as the use of sensor, software, machine-to-machine learning and other technologies to gather and analyze data from physical objects or other large data streams, and then use those analyses to manage operations and in some cases to offer new, valued-added services.

Big Data Analytics Now Seen As Essential For Competitive Growth

The Industrial Internet is projected to be worth $500B in worldwide spending by 2020, taking into account hardware, software and services sales according to Wikibon and previously published research from General Electric. This finding and others can be found on the home page of the Accenture and GE study here: How the Industrial Internet is Changing the Competitive Landscape of Industries.

The study also shows that many enterprises are investing the majority of their time in analysis (36%) and just 13% are using Big Data analytics to predict outcomes, and only 16% using their analytics applications to optimize processes and strategies. Moving beyond analysis to predictive analytics and optimization is the upside potential the majority of the C-level respondents see as essential to staying competitive in their industries in the future.

A summary of results and the methodology used are downloadable in PDF form (free, no opt in) from this link: Industrial Internet Insights Report For 2015.

Key take-aways from the study include the following:

73% of companies are already investing more than 20% of their overall technology budget on Big Data analytics, and just over two in ten are investing more than 30%. 76% of executives expect spending levels to increase. The following graphic illustrates these results:

Big Data analytics has quickly become the highest priority for aviation (61%), wind (45%) and manufacturing (42%) companies. The following graphic provides insights into the relative level of importance of Big Data analytics relative to other priorities in the enterprises interviewed in the study:

74% of enterprises say that their main competitors are already using Big Data analytics to successfully differentiate their competitive strengths with clients, the media, and investors. 93% of enterprises are seeing new competitors in their market using Big Data analytics as a key differentiation strategy. The single greatest risk enterprises see from not implementing a Big Data strategy is that competitors will gain market share at their expense. Please see the following graphic for a comparison of the risks of not implementing Big Data strategy.

65% of enterprises are focused on monitoring assets to identify operating issues for more proactive maintenance. 58% report having capabilities such as connecting equipment to collect operating data and analyzing the data to produce insights. The following graphic provides an overview of Big Data monitoring survey results:

Increasing profitability (60%), gaining a competitive advantage (57%) and improving environmental safety and emissions compliance (55%) are the three highest industry priorities according to the survey. The following table provides an analysis of the top business priorities by industry for the next three years with the shaded areas indicating the highest-ranked priorities by industry:

The top three challenges enterprises face in implementing Big Data initiatives include the following: system barriers between departments prevent collection and correlation of data for maximum impact (36%); security concerns are impacting enterprises’ ability to implement a wide-scale Big Data initiative (35%); and consolidation of disparate data and being able to use the resulting data store (29%), third. The following graphic provides an overview of the top three challenges organizations face in implementing Big Data initiatives:

Apr 4

21 Most Admired Companies Making IT A Competitive Advantage

All enterprises, regardless of what they produce or the services they deliver, are really information businesses.

The accuracy, speed and precision of IT systems means the difference between winning or losing customers, keeping supply chains profitable, and solidly translating new concepts into revenue-producing products and services. The world’s best-run services businesses have customer-driven IT as part of their DNA; it is very much who these companies are internally.

In the recently published Garter report CEO and Senior Executive Survey 2013: 21 Top Companies Admired for Competitive IT completed between October and December, 2012, which was part of the 2013 CEO and Senior Business Executive Survey, C-level respondents were asked to name the companies they most admired in terms of their ability to apply IT-related business capabilities for competitive advantage. Respondents were also asked to limit their responses only to their own and related industries.

391 respondents participated in the survey with 147 being CEOs, 149, CFOs; 49, COOs; and 46 being board members including Chairman of the board and president. Geographic distribution included 152 respondents from North America; 124 from Europe; 78 from Asia/Pacific; 20 from Brazil; 12 from South Africa; and 5 from the Middle East with minimum company size being $250M in annual sales or above.

The following is the list of the world’s most admired companies using IT for competitive advantage.

Most Admired Companies Making IT A Competitive Advantage

Accenture
Amazon
Apple
Cleveland Clinic
General Electric
Goldman Sachs
Google
Hospital Corporation of America
IBM
Intermountain Healthcare
JP Morgan Chase
Kaiser Permanente
Mayo Clinic
Microsoft
Nestle
Proctor & Gamble
Progressive Insurance
Schlumberger
Target
Toyota
Wells Fargo

Key Take-Aways

Customer-driven IT is the single most admired trait of all 21 companies in the list. Associated with this attribute is the proven ability of these enterprises to manage complex e-commerce systems & platforms, support multichannel management, in addition to continually show the ability to innovate quickly.

Enterprises need to consider how the business successes their investments in IT are enabling can be used for branding and recruitment. Providing benchmark performance data and stories of how IT helped create entirely new markets and solve customer problems needs to be used for recruiting. Many of the 21 companies mentioned are doing this, using success stories as a catalyst for driving recruitment efforts for analytics, cloud computing and systems integration experts.

Don’t underestimate the disruptive power of cloud computing and mobility to completely re-order enterprise systems quickly. Gartner mentions that there are enterprises whose IT organizations would have made the list had they not slowed down. While not directly stated, Gartner warns IT departments to not become complacent over time. From personal experience working in IT departments however, it is clear that complacency is a leading career hazard. It’s imperative for CIOs to keep challenging their organizations to stay intensely focused on new developments, seeking out how they can be used to strengthen business strategies.

Four of the top five factors that most impressed respondents about the admired companies are customer-related. Customer-facing IT (15%); followed by an integrated/standardized/unified IT organization and process framework (13%); exceptional use of CRM (11%); customer-centered innovation (9%); and product design & offerings (9%) are the most mentioned attributes of the highest-performing companies. Multiple responses were allowed to this area of the survey. The following graphic provides an analysis of which factors most impressed the C-level executives who were respondents to the survey.