Gathering data that is big and diverse is no longer the concern in today’s networked business world. Who exactly gets access to the data? How one gets access to the data? When does one get access to the data? are crucial to the success of a business. Your approach to analyzing data volumes through Invisible Analytics will directly relate to the big answers that will help you get to the next level.

Analytics operating on your Big Data have to be advanced as well as invisible. Deep analytics operating on your data will account for decisions that are proactive, and forecasts that are impactful.

Invisible Analytics

Being Competitive for Success Rests on Combining the Best in Pervasive Analytics

Organizations are challenged constantly to stay competitive in a highly intelligent business world. For this, they must combine the best-of-breed approaches.

Data mining and statistics will just touch the tip of the iceberg.

To process the terabytes and zettabytes of data available, anything from natural language processing to predictive analytics and machine learning, tend to answer and forecast with great accuracy.

Aligning Well with Technology Trends in Strategic Analytics will be a Key Decision

Gartner in its 2015 technology trends reiterates the value of data in an evolving business environment:

  • Serving smart consumers will be possible through cognitive computing tools and visual data discovery.
  • Big Data and Analytics (BDA) solutions are the future, with rich media paving the way and accounting for triple the spending. Overtime, data platforms will come as unified architectures across organizational functions.
  • Data and content will spell immense value and open never before avenues in monetization.

Eventually, according to the Gartner study, smart machines will persist through the future. For this to happen, the culmination of Pervasive Analytics, Embedded Intelligence, and Ubiquitous Analytics is predicted.

Advanced Invisible Analytics will drive high-value actions that are sensitive to the context in which they take place.

Leading organizations have already begun to see serious returns on deploying a pervasive analytics strategy. Boston Consulting Group surveyed 1,500 global senior executives in 2014 and found that information-driven enterprises that leverage analytics generate 12% higher revenues than their counterparts.

Analytics that are Pervasive and Invisible will Ensure Seamless Stakeholder Benefit

More and more organizations agree that having access to data is not enough. Rather, being able to make sense of it and enabling its use throughout will transform organizations into intelligent entities.

While data might not come as appealing to most stakeholders, its use can be promoted through Apps. In this way, stakeholders attached to data usage tend to more readily identify themselves with the intelligence that has been “invisibly” embedded.

The Internet of Things in conjunction with several diverse data sources is ready to flow into an environment of Advanced Invisible Analytics. Meaningful information will be made available in the way smart machines and context-aware systems start driving organizational decision-making.

To enable insightful decisions, organizations must rely on the simplest possible ways to integrate the most diverse data. The quality of data and extent of information sharing together will determine the success of an organization’s Invisible Analytics strategy.

The Future is about Meaningful Correlations through Pervasive Analytics

Whether it is about Walmart’s famous Gin and Tonic Water correlation for better customer service, or about beer and diapers, Pervasive Analytics has the answer. Data mining is not a simple task anymore. Insights, answers, and ideas should be extracted from the data to make intelligent business decisions.

Over the years, there has been a humungous overflow of information. However, the data that sits unattended in silos does not turn into an asset, unless Invisible Analytics is applied. Data must be made flexible and presentable enough so that it can be used to modify business functioning radically.

From social media data to website traffic and mobile data, information is spread across different verticals. The strategy to align structured and unstructured data from devices and platforms in a manner that is usable might be complex.

However, the trend that is triggered through Invisible Analytics is bound to make businesses function in a much simpler way. It enables organizations to leverage actionable insights based on individual customer interests and deliver beyond their expectations.