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
12 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.
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