Next up in this transformations series is the sixth enabler: sense and respond systems. These systems are critical to the transformation agenda, as most of the disruptive technologies likely to impact the enterprise in the next decade have data at its core. The resulting data explosion promises to complicate information management for most companies. As the speed of business accelerates and the amount of data flowing through company ecosystems expands, the need to sense stimuli and enable a real time response intensifies. Fortunately, rapid advancements in the price and performance of technology make realizing this sense and respond paradigm achievable and economical for a wide range of use cases – but this is arguably one of the most difficult components of transformation road maps.
Tag Archives: Sense and Respond
11 Comments | tags: Advanced Analytics, Analytics, Big data, Digital, Digital Enterprise, Digital Transformation, Geoffrey Moore, IBM Watson, In-memory, Machine learning, Predictive Analytics, Sense and Respond, systems of engagement, Text Analytics, Transformation | posted in Digital Enterprise
This recent Big Data Article from the Mckinsey Global Institute focuses on three key themes – some or all of which will impact every company in the future.
- Big Data will increasingly form the foundation of competitive advantage for years to come.
- Big Data will drive new business models across every industry.
- Decision processes will forever be changed.
A company’s use of Big Data will increasingly be driven by competitive pressures from those that effectively leverage its insight. As these companies mature in their use of data, they will shift from competitive response to competitive advantage. Decisions will improve, driven by an ability to simulate and model various scenarios that enable optimal outcomes.
The really interesting aspect of Big Data – and the analytics that help us derive insight – is the potential impact on complete value chains. This article provides some good examples of this phenomenon at work. In essence, data will drive new business models. Members of a value chain that own data may have an ability to monetize it. Those that have a proven ability to deliver insight from this data can monetize a core competence. Some companies may find themselves driving revenue from a business model that was never envisioned.
Whether it is new business models, better decisions, or enabled actions, the effective use of Big Data requires a level of analytic excellence that few companies have with any level of scale. This Mckinsey article echoes an earlier report that identifies a scarcity of analytic resources as a key obstacle to Big Data success. As I talk to companies about their digital strategies, I continue to focus on Big Data as the centerpiece of the strategy.
Leave a comment | tags: Advanced Analytics, Big data, Business Analytics, Sense and Respond, Social Analytics, Text Analytics | posted in Big Data, Business Analytics, Predictive Analytics, Text Analytics
Customer support is evolving to handle an ever-growing number of channels. Social media interaction is playing an expanding role in how companies provide support to their customers. I believe this Press Release from Attensity gives us a view into the future call center. As the press release points out, social media is quickly becoming a key component of customer care strategies.
7 Comments | tags: Business Analytics, Call Center, Sense and Respond, Social Analytics, Social CRM, Social Media, Social Media Monitoring, Social Technologies | posted in Business Analytics, CRM, Social Media, Social Technologies, Voice of the Customer
In his Industry Trend Blog for 2010, Nenshad Bardoliwalla identified the top ten trends in analytics, business intelligence, and performance management. The author sees a vibrant market and a resurgence of innovation.
This recent Attensity Announcement describes what I believe to be the next wave in the use of semantic technologies. We will see the rise of applications that leverage these technologies to deliver business outcomes. The discussion will shift from the semantic technologies themselves, to the application.
- @brandnewpurpose doesn't matter in my book 1 day ago
- 17.7 million Americans last year worked more than 1/2 their time as independents: wp.me/p17Oju-n6 #SharingEconomy 2 days ago
- @lisasurber good luck at #DF14 2 days ago
- Car-sharing drives revenue loss of at least $270K to manufacturers by reducing car ownership by 9-13 cars: wp.me/p17Oju-n6 #Sharing 3 days ago
- @driverlesstrans not sure how real the number is to begin with - but even with cost - it's still 3X what a NYC cab driver makes 4 days ago
- The Fourth Listening Post: Re-Learn Your Customer for Insight-driven Customer Experience“All we have left is customer experience.” Telco Panelist, Social Shake-up 2013, annual social media conference, Atlanta, Georgia The Customer Experience Advantage Digital technology has driven consumerization and commoditization across every industry, eradicating many of the historical advantages in product, …
- A Closer Look at Transformation – Part 14Next up in this transformation series is the ninth and final enabler: thinking differently. How can we enable the characteristics so important to future success, if we don’t start thinking differently? Status quo thinking is the cause of many transformation …
- A Closer Look at Transformation – Part 13Next up in this transformation series is the eighth enabler: the evolution from descriptive to predictive analytics. At the heart of future success lies the ability to leverage insight for competitive advantage. Yet, analytic capability and data driven cultures are …
- A Closer Look at Transformation – Part 12Next up in this transformation series is the seventh enabler: Collective Intelligence. One of the key themes throughout this transformation series is the clear movement from an enterprise entity to an extended enterprise of stakeholders. This extended enterprise – or …
- A Closer Look at Transformation – Part 11Next up in this transformations series is the sixth enabler: sense and respond systems. These systems are critical to the transformation agenda, as most of the disruptive technologies likely to impact the enterprise in the next decade have data at …
- A Closer Look at Transformation – Part 10Next up in this transformations series is the fifth enabler: systems of engagement. Geoffrey Moore introduced the Systems of Engagement concept about two years ago. This vision for the future of Information Technology is gaining broader acceptance – but a …
- A Closer Look at Transformation – Part 9Next up in this transformations series is the fourth enabler: next generation experiences. As we are now deep into this transformation series, some of the drivers and tactics are similar across the various enablers, so you will start to see …
- A Closer Look at Transformation – Part 8The next focus of this transformation series shifts to the emergence of value ecosystems and their role in driving the Enterprise of 2020. As we look at the Apple ecosystem and offerings like the connected car, mobile commerce, energy efficiency, …
- The Digital Enterprise and the Changing Role of ITDigital transformation involves the four pillars of technological disruption, namely Big Data and analytics, cloud computing, mobility and social networks. These together can provide major benefits to the enterprise, including easier customer reach and personalized customer care, leading to improved …
- A Closer Look at Transformation – Part 7Next up in this transformation series is edge-driven design, the second enabler. This key enabler is growing in importance as developed economies are moving away from command and control models and towards edge interaction that is value-based. The design principles …
- The Fourth Listening Post: Re-Learn Your Customer for Insight-driven Customer Experience
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