Information is the lifeblood of the digital business; more and more
organizations are declaring they are in an information and technology business,
more & more organizations have ‘digital ambition’ to become a customer-centric business,
ecologic business and intelligent business.Analytics becomes a decision discipline and innovation engine to pursue high performance in high mature intelligent enterprises. It pervasively explores BI/analytics applications cross-enterprise scope to improve business agility and results. It is not about the ‘cleverness’ of one BI team or one IT function, the intelligence becomes the nature of the entire business and permeate into all key business processes, the analytics becomes key capability to impact the business’s survival and thriving.
Analytics Convergence:
The convergence of machine learning, artificial intelligence, analytics and
business intelligence, statistics & decision science will make direct
impact on building an intelligent business. Talent, particularly those in a position where they need a dramatic change to the status quo in enterprise
computing, are seeking to exploit the value found in convergence technologies
-- advanced analytics, much more efficient returns, easier to use for entire
knowledge workforce, and on any device anytime anywhere: The analytics is
-The ability to make data-based, on-time decision
-The ability to access the right data at the right time at
the right location
-The ability to make context-based suggestions and
recommendation
Self-Service BI/Analytics:
The only thing about self-service that is accurate is analysts can engage
with their tools or business users can click on their charts in a dashboard. Surely
it doesn’t mean the analytics just serve up pretty charts and graphs. They must
make it easy for business users to explore and correlate multiple dimensions of
data. Visualization and intuitive user interfaces are making it possible for
more people in the workforce to do the data exploration and self-service
analytics, to build a broader culture of inquiry and gain insight upon customer
and business.
Agile BI: BI
agility is achievable through Agile development and project management, the iterative process can significantly shorten development cycles and speeds time
to market for analytics requests. It is now possible to deliver analytics value
to end-users in weeks, not years. Agile BI also means emerging analytics
trends: The next generation of Agile BI such as Social BI/Cloud BI/Mobile BI.,
etc, which are web-based, self-service, to deliver the insight or even
foresight more dynamically, it helps the organization to make the right decision
via recognizing both opportunities and threats and responding to the
customers' requests more promptly.
Cloud-Based
Intelligence: Cloud provides the alternative model to deliver Analytics-as
a-Service, and improve business agility without hassle to upgrade hardware and
software. Though most organizations may take a hybrid approach for in-house
development and cloud-based analytics solution. Through leveraging the cloud
capacity, organizations can have broader access to all relevant types of data,
with updated approaches for mobile access to data and analytic results. BI in
the Cloud environment can provide users with SaaS-based, self-service analytics
capability.
Mobile Intelligence:
Mobile
Social Intelligence:
Social media data can help the enterprise understand their customers better, as
well as their employees. Some hot social analytics trends such as sentiment
analysis-recognizes subjective information that can be used to identify polarity and determine the trends in public opinion, etc. Social intelligence
can also provide companies 360-degree view of business performance, pave the way towards true customer engagement, partner collaboration, and ecosystem
connection, The momentum around social will continue to transform business
models, strategy, structure, and management, and social intelligence will become the key cornerstone for all enterprise BI strategies.
Big Data + Small Data:
Digitalization drives the massive cultural shift that is taking place at an
increasing volume, velocity, variety of data in order to pursue the VALUE of
data, an intelligent organization will develop effective information management
strategy for acquiring, orchestrating and analyzing both Big data and small
data, and continue to explore the innovative way to analyze, model, visualize
and extract value to formulate insight to solving complex business problems, and
weave the foresight to prepare for the future of business. It’s one of the most
powerful tools to debunk the hyper-connected and over the complex digital world.
The beauty of the digital landscape is the fresh insight of
business. An intelligent organization always look for opportunities across
business to increase the usage of predictive analytics, social analytics, and
collaborative decision making accordingly. The digital shift is a mindset shift,
which also comes with information shift, a shift that organizations will take
advantage of information to gain knowledge and insight, a shift to drive
culture and transformation towards a more intelligent enterprise, a shift from
playing smart tools to being smart, intelligent or even wiser within business
and beyond, it's about building such cohesive, agile, and intellectual capabilities. That is a truly intelligent business stands for, to engage employees
and delight customers.
Digital Brainstorming:
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