By: Jagat Pal Singh, CTO, Cybage
The wave of autonomous emerging market
The continuous evolution of the Next Generation platform is dramatically changing the way technology is being perceived by business in terms of innovation and evolution of business transformation.
The key to this platform is the power of individual technologies such as Cloud, Big Data, Mobile, Social, having said that the value comes into picture when these technologies are applied in an integrated fashion. The value is accrued in terms of generation, aggregation, and analysis of data, and the ease with which the insights acquired from this data are shared with the stakeholders and end customers.
Innovation accelerating technologies such as IoT and others are also built around the NG platform technology, resulting in the expansion of their use cases, business cases, and value. These technologies are also propelling the emergence of ‘Data as a Service’ and influencing the way data is utilized and monetized.
This chain is ultimately lending a touch of autonomy to products, services, and experiences, further leading to shorter product cycles, and the need for efficiency and fully personalized and innovative business models.
Here are some instances of how IoT is affecting the business landscape:
- Autonomous and predictive analytics are freeing up human labor for transition to the supervisor role
- Consumer-facing technology is shaping up to intelligently process and predict consumer preferences
- Wellness sector to continuously improve quality of life.
How IoT can power three major business hacks
These hacks are applicable to the various forms of IoT, such as industrial, consumer, and enterprise.
Improve revenue, bottom line, and customer experience
Considering the bottom-up approach the inbound initiative to improve operational efficiency plays a significant vital role to regain bottom-line and at the same time set the starting point of digital transformation journey. For example, transforming processes to achieve predictive maintenance, optimum asset utilization, benchmark productivity fall under workflow analysis, at a broad level.
The efficiency and flexibility acquired in business by enabling IoT enables enterprises to experiment with different business models for new revenue generation. Anything-As-a-Service, which means selling from a range of products to product-as-a-service, enables manufacturers to charge as per usage, bundling services and maintenance.
Businesses can acquire an edge over their competition by delivering personalized experiences, upselling products, achieving a close integration with customer care, ultimately leading to the redesign and cross-selling of product and services.
Enabling informed decision making
This hack is typically the by-product of IoT implementation, the art of analyzing IOTized data. The other dimension to look into for this business hack is the empowerment of business entities by applying algorithmic capabilities to the IOTized data and its fusion with transactional events to generate business patterns, helping leaders and operational executives to take a quick call through data-driven decision-making techniques.
Visualizing new edge KPIs
With the kind of revolution that is taking place across business lines, it is time to rethink and redraw performance indicators to define success and sustainability in their true sense. Hence, new-age KPIs become very crucial for establishing a framework to measure ROI.
The following snapshot of KPIs can be considered under this evolving segment:
– Measuring and keeping the Mean Time To Repair (MTTR) ratio low
– Ensuring a uniform, device-agnostic user experience
– Providing real-time business insights on performance
– Business performance vs IoT performace
– Ensuring quick, real-time reactions to business issues
Call to action
The focus needs to be on the E2E landscape of IOT realization.
- Evaluation and benchmarking
- Devices/sensors, connective and integration platforms
- Support services and open frameworks
- ROI and business alignment
- Key KPIs and SLAs to be defined
- Data-driven decision making to be encouraged
- Right partnership
- Partners’ longevity with E2E services
- Ability to leverage a decision-making framework