Advantages of Enterprise Systems
Discuss about the benefits of Entrprise systems used in conjunction with Big Data.
Enterprise system or ES is the larger scale application software package, which is solely responsible for supporting the business processes, data analysis in the complex companies or reporting and information flows (Sykes, Venkatesh & Johnson, 2014). When the enterprise system works with PEAS or packaged enterprise application software systems, the custom developed system helps in supporting the needs of the organization. There are several types of enterprise systems. They are ERP or enterprise resource planning system, customer relationship management software and enterprise planning system. The systems of business intelligence and data warehousing are the typical enterprise wide packaged application software as they never directly support the execution of various business processes (Sykes, 2015). There are various advantages and disadvantages of enterprise system within any typical organization. Enterprise system is extremely effective when it works with big data.
The following report outlines a brief discussion on the amalgamation of enterprise system with big data. The rapid growth in big data helps to highlight the requirement of the newer tools, techniques and methodologies for augmenting the better practices. Several tangible benefits are obtained after the correlation of existing data in wider range of sources. This report will be highlighting the several significant factors that prove that enterprise system works better when it is added with big data.
Enterprise System
Enterprise system is software application, which has several cross organizational capabilities in any particular organization (Pollock & Hyysalo, 2014). This type of enterprise system is responsible for allowing all kinds of communication and collaboration throughout the organization. Enterprise systems are eventually built on the software platforms, like Fusion of Oracle or NetWeaver of SAP as well as databases. From the perspective of hardware, the enterprise systems are storage, associated software and server, which the larger businesses utilize as foundations of information technology infrastructure (Walther et al., 2013). All of these systems are designed for the purpose of managing larger volumes of critical and vital data. Hence, these enterprise systems are so designed so that they could easily provide high level of transaction performances or security and privacy of data.
Although the systems of business intelligence or data warehousing are enterprise wide packaged application software. These are sold by the enterprise system vendors, as they are not directly supporting the execution of the business processes (Soja & Paliwoda-P?kosz, 2013). The most popular and used types of enterprise systems are ERP or enterprise resource planning software, CRM software or customer relationship management software and enterprise planning systems.
Advantages of Big Data
Big Data
Big data can be defined as the larger data sets, which the traditional data processing application software is inadequate in dealing with. The major challenges of big data mainly include data storage, transfer, capturing of data, updating, sharing, information privacy and visualization (Swan, 2013). The most significant concepts of big data are volume, variety and velocity. These three concepts are together termed as 3Vs of big data. This big data even refer to the proper utilization of predictive analytics or user behaviour analytics. The other advanced methods of data analytics help in extracting value from the data and thus is limited to the specific size of the data set. The significant analysis of data sets is responsible for finding newer correlations to the spotting of business trends and thus helping in other forms of help like preventing diseases (Provost & Fawcett, 2013). Several organizations often suffer through major problems like Internet search, business informatics and urban informatics.
These types of data sets eventually grow rapidly, since they are incriminatingly gathered by the cheaper and numerous information sensing devices of Internet of things (John Walker, 2014). The most utilized and popular devices of Internet of things used in this particular purpose are mobile devices, cameras, aerial or remote sensing, wireless sensor network, RFID or radio frequency identification readers and microphones. Even the desktop statistics and RDMS or relational database management system as well as the software packages use big data for the purpose of visualizing data. These types of systems often undergo major difficulties in handling the big data. This kind of work might require huge parallel software that is being run on numerous numbers of servers (Wu et al., 2014). Big data helps in varying to a larger set on the basis of user’s capability or tools and techniques.
Big data is the most significant type of data, which is responsible for describing any type of voluminous amount of unstructured, semi structured and finally structured data. This type of data has the core potential for mining the information. These voluminous data could come from various sources like Internet of things sensors, business sales records and even collected results of the scientific experiments (Lazer et al., 2014). Big data might either be pre processed or raw with the help of separate software tools even before the analytics are being applied. The best example of structured data is SQL database store and the best example of unstructured data is streaming of data from the sensors or document files.
Combining Enterprise System and Big Data
The enterprise systems and big data comprise of several important and vital advantages. The major advantages of enterprise systems are as follows:
Efficiency: The first and the foremost advantage of enterprise system is that it is extremely efficient in terms of service (Lokuge & Sedera, 2014). It helps in the elimination of several repetitive processes and also reduces the requirement of manual entry of information.
Security: The next important advantage of this enterprise system is that it is absolutely secured from any type of threat or discrepancy. Thus, could be utilized by any user.
Collaboration: The third advantage of enterprise system is that it helps to collaborate amongst several departments and this is extremely important for any business (Rice, 2013). This particular system subsequently touches all the aspects of business and hence collaboration is encouraged.
Competition: The other important advantage of enterprise system includes providing better competition to the rivals of the organization. Since, all the methods become systematic and updated, the business gains competitive advantages from this specific system.
Integrated Information: Anther significant advantage of this system is that it helps to integrate the information easily and promptly (Leonard & Higson, 2014). The databases are well maintained and there is no need of separate databases. Each and every information is stored in one single database and hence complexity is removed.
Cost Efficiency: Enterprise system is extremely costs effective and thus is utilized by several businesses irrespective of their sizes. The administrative and the operations expenses are reduced to a greater level with the successful implementation of enterprise system (Pollock & Hyysalo, 2014). Disruptions and delays are prevented and information is broken, hence the users get the opportunity to make decisions even faster.
Scalability: Enterprise systems are both scalable and flexible and thus could be utilized from any department or any part. Due to higher scalability and flexibility, enterprise systems are extremely popular even for the smaller organizations.
Streamlining of Processes: A typical business consists of several processes or procedures. All of these should be well streamlined for removing any type of complexity from the business. When the manufactures are growing, the operations eventually become more and more complicated and complex (Sykes, Venkatesh & Johnson, 2014). Enterprise systems are responsible for removing the complexities to a greater level and thus streamlining the processes. This helps in executing the processes easily and promptly.
Big data also comprise of various important advantages. They are as follows:
Conclusion
Cost Savings: The first and the foremost advantage of big data is that it helps in cost savings and hence is termed as cost efficient. Some of the major tools of this big data such as cloud based analytics and Hadoop helps to provide several cost advantages to the business that has acquired it (Murdoch & Detsky, 2013). The larger amounts of data are easily stored with the help of big data and also with cost effectiveness.
Higher Speed: The second important benefit of big data is that it does its work with high speed. The tool like Hadoop is considered as the faster tool of big data and hence can easily identify the newer sources of data. Thus, the business gets help in analyzing the data almost immediately and quicker decisions are taken.
Product Development: The third important benefit of big data is that the newer products are developed easily only after knowing the current requirements of customers (Gandomi & Haider, 2015). The customer satisfaction is extremely important for any business. Big data makes sure to develop the new product much efficiently and by fulfilling the requirements of the customers.
Understanding the market conditions: The next significant benefit of big data is that it helps to understand the condition of the market better in respect to any specific business. Once the market conditions are known and analyzed, it becomes extremely easier for the business to reduce its complexities.
Providing Competitive Advantages: The next significant benefit of big data is that it helps to provide several competitive advantages (Chen, Mao & Liu, 2014). These competitive advantages are important for the business to become successful from its rivals.
The proper conjunction of big data and enterprise system leads to a better system that provides much more advantages to the organization. When these two are amalgamated, the new information sources are eventually obtained (Lazer et al., 2014). The various sources of information are given below:
Ready for Iteration: The conjunction of big data and enterprise system helps in easier iteration via different analytics.
Seeking high Value: The next factor is that this type of conjunction helps to seek higher value in the process (Provost & Fawcett, 2013). Due to the presence of big data and its advantages, seeking of higher value is done substantially.
Identifying Unique Customers: Another significant factor of the proper conjunction of big data and enterprise system is that it helps in the perfect identification of unique customers.
Better Return of Investments: Since, enterprise systems help in cost savings to a greater level, the marketing investments get a better return in respect to others (Soja & Paliwoda-P?kosz, 2013). Thus, the business is benefitted in all aspects.Faster Access of Data: The next important advantage of this conjunction is that it provides faster access of data for any specific business or organization. Due to this faster access, the users gets benefitted to an intense level.
Analysis of Multi Channel: The multi channel analysis is done easily with the conjunction of big data and enterprise system. The initial inputs are monitored and hence the online activities are tracked without any type of complexity.
Prediction of Future Situations: This particular advantage is important for any business as it helps to reduce the risks or threats that are possible for any business (Rice, 2013). The proper prediction of the future situations is also done with the help of the conjunction of big data and enterprise system.
Conclusion
Therefore, from the above discussion, it can be concluded that enterprise system is the total combination of computer software or hardware, which any business is using for organizing as well as running the operations. The integrated enterprise system would be handling more than one operation for any organization to facilitate the requirements of management and business reporting. The small scale organizations eventually implement the complete framework of this enterprise system for picking up far access and increasing the worker profitability and hence minimizing the information duplication. These enterprise systems could easily empower the business in diminishing the costs of IT or information technology. Hence the manual input of information is minimized or reduced. Various significant advantages are present for the enterprise system and hence big data is being used with this specific type of system. The above report has clearly outlined the topic of enterprise system with the configuration of big data. This big data comprises of the inherent focus on various new information sources that are originating from wider range of providers. The several types of advantages are present for the enterprise systems with big data. Relevant details are provided in this report.
References
Chen, M., Mao, S., & Liu, Y. (2014). Big data: A survey. Mobile networks and applications, 19(2), 171-209.
Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144.
John Walker, S. (2014). Big data: A revolution that will transform how we live, work, and think.
Lazer, D., Kennedy, R., King, G., & Vespignani, A. (2014). The parable of Google Flu: traps in big data analysis. Science, 343(6176), 1203-1205.
Leonard, J., & Higson, H. (2014). A strategic activity model of Enterprise System implementation and use: Scaffolding fluidity. The Journal of Strategic Information Systems, 23(1), 62-86.
Lokuge, S., & Sedera, D. (2014). Enterprise System Lifecycle-wide Innovation.
Murdoch, T. B., & Detsky, A. S. (2013). The inevitable application of big data to health care. Jama, 309(13), 1351-1352.
Pollock, N., & Hyysalo, S. (2014). The business of being a user: The role of the reference actor in shaping packaged enterprise system acquisition and development. MIS quarterly, 38(2), 473-496.
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Rice, A. L. (2013). The enterprise and its environment: A system theory of management organization. Routledge.
Soja, P., & Paliwoda-P?kosz, G. (2013). Comparing benefits from enterprise system adoption in transition and developed economies: An ontology-based approach. Information Systems Management, 30(3), 198-217.
Swan, M. (2013). The quantified self: Fundamental disruption in big data science and biological discovery. Big Data, 1(2), 85-99.
Sykes, T. A. (2015). SUPPORT STRUCTURES AND THEIR IMPACTS ON EMPLOYEE OUTCOMES: ALongitudinal FIELD STUDY OF AN ENTERPRISE SYSTEM IMPLEMENTATION. Issues, 11401.
Sykes, T. A., Venkatesh, V., & Johnson, J. L. (2014). Enterprise system implementation and employee job performance: Understanding the role of advice networks. Mis Quarterly, 38(1).
Walther, S., Sedera, D., Sarker, S., & Eymann, T. (2013). Evaluating Operational Cloud Enterprise System Success: An Organizational Perspective. In ECIS (p. 16).
Wu, X., Zhu, X., Wu, G. Q., & Ding, W. (2014). Data mining with big data. IEEE transactions on knowledge and data engineering, 26(1), 97-107.
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