Tomorrows Enterprise And Big Data

Published Date: 02 Nov 2017

This article throws lights on the various opportunities revealed in the corporate world due to expansion in Information technology. In today’s dynamic world, opportunities have become inseparably linked with IT developments. Enterprises are continuously striving for new resources in IT to gain competitive advantage and possess economies of scale over others. The article focuses on the two latest trends in Information technology- Tomorrow’s enterprise first and BIG DATA later which aspires today’s generation to compete for future. Transformational process change unlocks the key levers of any growing business. The article explains the core revolving business concepts of Tomorrow’s Enterprise and BIG DATA.

Tomorrow’s Enterprise is a relative concept whose nucleus is creating and exploring "possible" enterprises of tomorrow. As the information network keeps on growing, there is a need for securing personal information in a business organization. Security system has to be boosted to keep the information data intact. Emphasis is given on infoasset management and securing personal enterprise network (PEN). Orders of magnitude for Tomorrow’s Enterprise will be even more surprising in future with more innovation in computronics. Diagrammatic representation and emerging forms of Tomorrow’s enterprise are mentioned below:

FIGURE 1: Framework of Tomorrow’s Enterprise

Tomorrow’s Enterprise of Green Innovation

Smart organizations and start ups are emerging rapidly through effective resource utilization and green innovation concepts. Smart solutions and analytical insights provide companies navigate the challenges of sustainable growth. A road map ensures sustained action to become more profitable.

Tomorrow’s Enterprise of Service oriented architecture (SOA)

Along with cloud computing burst to manage and share resources, there is a high level need for service oriented architecture which could provide agility, efficiency and productivity along with loosely coupled system orientation.

Tomorrow’s Enterprise of Measurable Business Value

Enterprise IT (EIT) for integration of resources, efficient operations through best practices in supply chain, powerful research to emphasize innovation, business transformation to identify critical shareholders value has led to high ROI for any organization

Tomorrow’s Enterprise of "Reverse Innovation" and Business Process Re-engineering

Emerging economies started transforming the global marketplace through the use of reverse innovation techniques. Products, services and ideas are reengineered rather than recreated to satisfy the needs of micro segments.

Tomorrow’s Enterprise of Web 2.0 and Digitization

Dynamics is the new word coined in the growing business architecture. Web 2.0 provides the platform of dynamic information activity flowing across several verticals of an organisation. A better collaboration and interaction with end users to quench their issues related to complicated business activities is the growing priority nowadays. Professionals spend significant time in designing a business dashboard which could automate the activities. These Web 2.0 interactions happen outside the transactional network.

Tomorrow’s Enterprise of Search Based Applications

Search based architectures are given due importance with time as the organizations becomes more and more complex. To access information related to any customer, there is a need of high search mechanism which could use various text semantics to systematically organize personal data.

Tomorrow’s Enterprise of Real Time Systems (RTS)

Computing, processing capability, security and storage infrastructure plays a vital role in cost efficiency, agility and quality of service (QOS). Firms are switching more towards pervasive computing through use of various fuzzy logics and artificial intelligence techniques to get real time information.

BIG DATA

BIG DATA refers to an umbrella term for the explosion in the diverse and huge quantity of large and complex series of data. With growing needs for social networks and interaction, it becomes impossibly difficult to manage customer based data using traditional database management techniques. BIG DATA innovation would allow business decision makers to track growth progress, improve social protection and suggest adjustments in data storage. BIG DATA serves as a panacea for banking activities, social networks, business transactions, online searches and real time information capture of hundreds of gigabytes, terabytes of data created. Big Data analysis for several purposes is shown below:

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FIGURE 2: BIG DATA ANALYSIS PIPELINE

BIG DATA technology could be successfully deployed in the following areas:

BIG DATA for managing databases

There is a hue and cry for managing huge information of data on a secured database that requires less operations and easy handling. BIG DATA and Oracle are in the operations of implementing relational database that possess the features of NoSQL and integrated portfolio platform to better organize the diverse data.

BIG DATA for Information extraction, aggregation and Integration

On a large scale analysis, given the heterogeneity of flood of data and presence of outliers, BIG DATA provides simpler way of trend analysis by combination of high techniques of data mining and data cleaning to give the best suited results. Scaling down the complex data into minor pieces and then re-clustering again the homogeneous sets for useful information feedback.

BIG DATA for scientific research

Scientific research has been revolutionized by Big Data. Astronomy, biological sciences, pharmaceuticals are enjoying the fruits of BIG DATA implementation. As technology for BIG DATA advances with the exploration of Next generation sequencing, the size and number of experimental data sets for research keeps on increasing.

BIG DATA for improving education standards

Academic performance and effectiveness while accessing huge set of student data might seem to be tedious but now BIG DATA contribution to manage information more wisely have eased the workload. There is a strong trend of massive web deployment of educational and academic related activities, and this would generate surplus data to measure student’s performance with great accuracy.

BIG DATA for society growth and modernization

Big Data is widely used for urban planning through high fidelity geographical networks, intelligent transportation though detection of well versed road network data, environmental modelling and energy saving through use of smart materials, computer security and data privacy through implementation of global Security information and Event Management (SIEM). Big Data is also used to get the data regarding employment status regionally, country wise as well as globally.