Finding and Analysis

Data bases are one of the most effective concepts involved within the domain of technological development. In contrast with this fact, I am considering that these concept of Big Data comes from the huge amount of data used for data analytics within technological areas. Business Intelligence is one part of the Big Data Analytics and this is used for decision making purposes within organizations.

This report is elaborating about one real life case study that is using Big Data and business intelligence for their decision making perspectives. In addition to this, two functional areas are analyzed and recommendations are provided: support of information system in business decision making and protection of databases. I have chosen Avoisys Technology for analyzing these concepts within this report.

Databases: Database is nothing but one structured set of data that are used for storing data and information involved within any system architecture and information collection measures. There are various organizations those are using big data for managing their important applications and stores data within these databases.

Big Data: Big data is considered as the operational measures incorporated within the system architecture of any organization that mainly operates for managing huge amount of data within their organization. I found that big data is extremely large amount of data sets that are analyzed in computational way and revel patterns, trends to the operational heads within specific organizations. These set of data are also used for managing business decision makings and other operational and functional measures involved within the system architecture of any organization.

Business Intelligence: Business Intelligence is nothing but an umbrella term that is used for variety of software applications that are mainly used for comparing and analyzing the raw data of any considered organization. According to findings, Business Intelligence can easily analyze the raw data of the concerned organization.

The concept of business intelligence is also called the savvy manager’s guide. Business intelligence is nothing but one information system that is used for managing their internal and external business data and information within concerned organization. According to my concern, in contrast with these facts, the concept of business intelligence also focuses on the segments that are utilized by the organizations for detecting their critical functional segments within the system architecture of the organization. I have found that the information system architecture based on business intelligence empowers the decision making perspectives and real time insights involved within the supply chain and inventory management processes. The situation is oriented to the segmentation of business process of Avoisys Technologies that are managed with the help of business intelligence functionalities. I analyzed that the problems associated with the technical domain of business intelligence are being elaborated in this part of the report for managing Avoisys Technology application and other important aspects.

There are various significant issues and aspects that are managed and with the help of business intelligence applications within the organization. In contrast with these facts, various problems and issues are being elaborated in this part of the report.

Support of Information system in decision making for Avoisys Technology

Management of huge amount of data: Without the use of database management system and business intelligence system architecture the Avoisys faced various issues about managing the different databases over their competitive marketplaces and business segments.

Lack of Control over huge amount of data: Avoisys Technologies showed that the organization faced huge problems and issues while controlling their set of unstructured and structured databases, that made me concerned about their system architecture and its weakness with respect to their system architecture and organizational objectives.

Lack of information of rivals: Lack of information about the rivals is another problem associated with the system architecture that has no support for knowing their trends and technological innovations. Therefore, I found that they become weak in front of their rivals.

Lack of Information about evolving trends: I also found this aspect to be their problem associated with the organizational structure and culture and Avoisys also had conceptions about their lack of information collection for evolving trends and technological support systems.

The solution was nothing but the application of business intelligence tools and technological supports to their system architecture and organizational structure with respect to the evolving trends and technologies within their rival companies. I have identified some set of solution measures for managing their internal and external applications, and these solutions are given as follows:

Optimization of performance: I have also found that the optimization of performance is also achieved by Avoisys Technology with the help of utilizing the business intelligence application for analyzing their important databases and information.

Improvised decision making: The business intelligence concept has improvised the decision making concepts within the organization.

Information data collection: Business intelligence also provides the effective data collection processes within the project development of Avoisys.

Utilization effective tools and supportive elements: utilization of the effective tools and supportive aspects during the project development is helpful in solving various critical aspects involved within the project development aspect.

In contrast with the research and information collected from the researches and information about the Avoisys Technology, I have found that the organization has introduced various critical aspects within the segmentation of business processes that helped the organization in solving and managing various data sets within the internal and external world of the business processes. I can easily state that Avoisys Technology easily managed with the tools and supportive aspects of business intelligence involved within the project development perspective of the organization.

There are various issues related to the protection of databases involved within any specific set of data. Avoisys Technology also had various issues that are involved and introduced within the system architecture due to lack of security measures within organizational databases. Therefore, these databases should be protected for managing the data used for organizational system architecture management. I have identified various security issues involved within the system architecture of the organization. In contrast with these facts, some of the issues are being elaborated in the next part of this assignment as per investigation on various security measures related to database management within Avoisys Technology.

Protection and Safeguarding of Databases within Avoisys Technology

There are various problems and issues I have identified during the analysis based on the Avoisys Technology. Among all of these solutions some are being elaborated within this segment for identifying their solutions measures that are undertaken by Avoisys for protecting their databases.

Loss of integrity: Loss of integrity was one of problems associated with the database management and business intelligence applications within Avoisys. According to my concern the organization has lost various data due to lack of integrity over their databases.

Loss of availability: I found that Loss of availability of databases is another problem that Avoisys faced during their functional measures about their distribution of databases and management of it.

Loss of confidentiality: Loss of confidentiality is another part of the system architecture that does not include the database architecture of business analytics within it. This aspect makes the organizational system not compatible with the organization with respect to my concern for Avoisys.

Loss of authorization: Without the databases and business analytics tool, the system architecture becomes so much tough to be managed and as there are chances of loss of authorization within the system architecture within the information system of the organization.

There are various ways of solving and managing the databases involved within any system architecture of Avoisys Technology. I found that in contrast with these facts, there are various significant ways of making these databases more compatible and secured within the system architecture of the organization. Following are the ways that Avoisys uses for managing their database security perspectives within the organizational structure of Avoisys. In contrast with these facts, following are the significant areas of solution measures for protecting the databases of Avoisys.

Separate databases and web servers: According to me, Separate databases and web servers are effective in reducing the chances of security measures involved within the database management system architecture. In addition to this, there separate database and web servers are helpful in solving various critical aspects and reduces the chances of security issues involved within the database management system.

Encryption of stored files and backups: Encryption of stored files and backups are one of the most effective ways to utilize the sources involved within the system architecture within the organization. I found that the valuable files needs to be secured with respect t the demands and dependencies of the system architecture within organization.

Use of Web Application Firewalls: Use of effective web application firewalls are protective towards the system architecture of the organization for managing the databases involved within the organizational structure.

Enabling of security controls: Enabling the security controls are also provides effective support to the system architecture of databases. Security controls monitors the effective measures of the organizational architecture and it demands for databases.

Implementation of DBAS:     DBAS is one of the effective measures that are use for crucial security measures involved within the database management process.  

According to my analysis on this particular topic, I have found that the security measures are very important securing any set of databases involved within the system architecture of Avoisys Technology. I also noted that there are various different security issues and problems associated with the system architecture of Avoisys. I have analyzed all of these problems and security measures involved within the system architecture of Avoisys Technology. In contrast with these facts, I also found various solution measures that the organization can implement easily for managing their system architecture of databases and also I noticed that these security system architecture is enough secured to protect the databases over a range of activities related to databases and data sets.

Conclusion

This can be concluded that the concept of big data and databases are nothing but one revolution to the world of technology and technological advancements and improvisations. In contrast with these facts, I have also found that there are various segments and area of interest where we can put our concern for further analysis related to big data analytics and its impact analysis with respect to organizational development and growth. In addition to this, I have chosen Avoisys Technology for analyzing the impactful situations, problems and their resolutions with the help of big data analytics and databases within organization. Therefore, my concern is to highlight the impact, causes and solutions of the problems associated with the business functionalities involved within the system architecture of concerned organization. A detailed finding and analysis section provides effective solutions for managing the use of business intelligence and big data analytics within Avoisys Technology.

According to my analysis I have analyzed two aspects within this report, these are security measures used for databases used by Avoisys Technology and the second one is support of information system in decision making of Avoisys. Some recommendations are being provided in this part of the assignment for improving these aspects. These are as follows:

Implementation of SAP: Implementation of SAP is one of the most effective way that manages the database security structure within Avoisys. Therefore, I think that these aspects will be helpful in solving various critical aspects from the system architecture of the organization.

Implementation of Ad Hoc analysis: Ad hoc analysis is also helpful in analyzing the demands and support of business intelligence for decision making of Avoisys.

Encryption: Encryption is also helpful for impact analysis of information system in decision making of Avoisys and I have found this aspect with proper investigation in this domain.

Database security statistical method: Statistical method is also helpful in solving security and impact analysis issue of business intelligence for Avoisys.

Acland, A., Agarwala, R., Barrett, T., Beck, J., Benson, D.A., Bollin, C., Bolton, E., Bryant, S.H., Canese, K., Church, D.M. and Clark, K., 2014. Database resources of the national center for biotechnology information. Nucleic acids research, 42(Database issue), p.D7.

Finn, R.D., Coggill, P., Eberhardt, R.Y., Eddy, S.R., Mistry, J., Mitchell, A.L., Potter, S.C., Punta, M., Qureshi, M., Sangrador-Vegas, A. and Salazar, G.A., 2016. The Pfam protein families database: towards a more sustainable future. Nucleic acids research, 44(D1), pp.D279-D285.

Lazer, D., Kennedy, R., King, G. and Vespignani, A., 2014. The parable of Google Flu: traps in big data analysis. Science, 343(6176), pp.1203-1205.

Lombard, V., Ramulu, H.G., Drula, E., Coutinho, P.M. and Henrissat, B., 2014. The carbohydrate-active enzymes database (CAZy) in 2013. Nucleic acids research, 42(D1), pp.D490-D495.

Make Decisions Using Business Intelligence – Avosys Healthcare & Technology. (2017). Avosys Healthcare & Technology. Retrieved 3 March 2017, from https://www.avosys.com/solutions/make-decisions-using-business-intelligence/

Marchler-Bauer, A., Derbyshire, M.K., Gonzales, N.R., Lu, S., Chitsaz, F., Geer, L.Y., Geer, R.C., He, J., Gwadz, M., Hurwitz, D.I. and Lanczycki, C.J., 2014. CDD: NCBI’s conserved domain database. Nucleic acids research, p.gku1221.

Marz, N. and Warren, J., 2015. Big Data: Principles and best practices of scalable realtime data systems. Manning Publications Co..

Monroe, B.L., Pan, J., Roberts, M.E., Sen, M. and Sinclair, B., 2015. No! Formal theory, causal inference, and big data are not contradictory trends in political science. PS: Political Science & Politics, 48(01), pp.71-74.

NCBI, R.C., 2014. Database resources of the National Center for Biotechnology Information. Nucleic acids research, 42(Database issue), p.D7.

NCBI, R.C., 2015. Database resources of the National Center for Biotechnology Information. Nucleic acids research, 43(Database issue), p.D6.

Peltier, T.R., 2013. Information security fundamentals. CRC Press.

Peltier, T.R., 2016. Information Security Policies, Procedures, and Standards: guidelines for effective information security management. CRC Press.

Rawlings, N.D., Waller, M., Barrett, A.J. and Bateman, A., 2014. MEROPS: the database of proteolytic enzymes, their substrates and inhibitors. Nucleic acids research, 42(D1), pp.D503-D509.

Siponen, M., Mahmood, M.A. and Pahnila, S., 2014. Employees’ adherence to information security policies: An exploratory field study. Information & Management, 51(2), pp.217-224.

Swan, M., 2013. The quantified self: Fundamental disruption in big data science and biological discovery. Big Data, 1(2), pp.85-99.

Wu, X., Zhu, X., Wu, G.Q. and Ding, W., 2014. Data mining with big data. ieee transactions on knowledge and data engineering, 26(1), pp.97-107.