Enterprise Data Deluge - How to Handle it through the Latest Practices? - Jinz Haiggh Blog

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Enterprise Data Deluge - How to Handle it through the Latest Practices?

Make sure you step on the right transformation for future readiness

The most important part of any leader's job is to make life easier and better for workers. With organizational targets and challenges, few managers and bosses are remembered for having provided a especiallygood work-life balance, one worth remembering. Enterprise technology, fortunately, has over the years taken away much of that burden from them, although gradually and over decades.

Besides growing volume of data, organizations must meet the growing demand for it as well. The fundamentals of converting data and helping a decision maker is widely sought in retail, manufacturing, and multiple service sectors. An automated approach to decision making seems set for a world where machines have "taken over", but analytics will need to advance manifold.


Today, offering millions of raw data, contacts, and real-time correlations, hybrid storage is perceived as an essential part of getting ready for learning analytics. Organizational software should be an asset and not something that needs changing every time a new requirement comes. It should be able to create its own functions by responding to the requirement.

Enterprise analytics solutions

Platform-based IT implementation has brought workers and business partners to the same data-driven environment. Field executives and customers are better connected because of cloud apps. A web-based platform for enterprise data analysis and insight can be achieved through on-premise analytics. It has become the norm in e-commerce and other functions.

However, the infrastructure that such an organization needs is highly software based. It relies less on hardware, which was proving too expensive. Now organizations can cost effectivelymodify their IT, and also scalewithout major setbacks.

App-based customer facing activities

Customers have embraced the app and dumped the dial-a-number approach when it comes to solving issues. Moreover, with companies offering "self-service portals", the voice process has become necessary only during unexpected circumstances. However, the next level, AI-based service is also entering the foray, as one expects to see more automation at the executive level. But apps with customer interfaces are becoming the only way for customer service.

Intelligence capabilities of enterprise software

The ability to build knowledge based on continuously generated data is one of the leading-edge organizational capabilities. Many business leaders have relied strongly on hard, number-driven strategies, which often failed due to lack of insight.

Much of the accuracy that makes a difference today, is due to machine-learning capabilities on flexible platforms, where applications to build the intelligence can be easily accommodated and altered as per necessities, especially if the software is unable to "write the code" for itself. This type of learning analytics vastly reduces the burden of solving real-time issues on the organization's CFO. 

Smart abilities and smart offices

The ability to share responsibility and tasks with intelligent machines goes beyond saving time and money. The process automation of a home or office system is also about interaction with the users of the space. Biometric tools have been attractive in organizations that care about the health of their employees.

Aviation data storage, retail communication, and supply chain networking are also some of the areas that will experience a quantum leap in data-communication quality. Machine-to-machine and machine-to-human (usually through smart phones) will be a stepping stone to consumer-level AI, which cooks breakfast and drive people to work, for example.

The headway IT makes, goes deep into AI-based capabilities, but the readiness to implement depends largely on how well you get a digital transformation today. Mobile-based workforces, connected to hybrid storage, and on-premise analytics is the least one needs -for stepping into the future feasibly.

Companies that will be equipped with IoT service platforms today, need integrated security and the digital know-how to make use of the technology. It is helping achieve something basic, but with a very high precision level, as organizations should be able to function globally without any hiccups in daily operations.
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