Friday, January 3, 2014

Digital Shift: An Intelligent Enterprise

Being a Smart Business goes beyond just Playing Analytics Tools Only!

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 is pervasive these days, it is a strategic imperative to leverage mobile technologies to share information, gather input in order to make on-time decisions. Mobile intelligence means to take advantage of the mobile platform to deliver and present information in a concise, user-friendly way by leveraging interactive and visual capability. It also means to enhance collaboration capabilities to open up strategy setting and performance management solutions, to seamlessly link the boardroom with operations cross the organization. With the convenience to access information at any time, any location via mobile computing, bother consumers and businesses can make better and faster decisions.

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.


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