Database, Big Data And Business Intelligence

Storage and Protection of Business Data 1

STORAGE AND PROTETION OF BUSINESS DATA

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Storage and Protection of Business Data 2

Table of Contents

Introduction ................................................................................................................................... 3

Database, Big Data, and Business Intelligence ........................................................................... 3

Database ...................................................................................................................................... 3

Big data ....................................................................................................................................... 4

Business Intelligence ................................................................................................................... 4

How Information Systems Support Decision Making In Organization ...................................... 5

Information .................................................................................................................................. 5

Business Case Scenarios ............................................................................................................... 6

Projections ................................................................................................................................... 6

Implementation............................................................................................................................ 6

The Protection and Safeguarding Of Organizational Databases ............................................. 7

Automate Back-Ups and Build Offsite Redundancies ................................................................ 7

Server Virtualization ................................................................................................................... 8

Run a Full-Service Security Suite ............................................................................................... 8

Have a Big Picture Disaster Preparedness Plan .......................................................................... 9

Conclusions .................................................................................................................................... 9

References .................................................................................................................................... 10

Storage and Protection of Business Data 3

Introduction

The understanding and application of big data, databases and business intelligence are

increasingly becoming important to both business and academic communities. With the current

vast amount of data (big data) in the business environment as facilitated by technological

connectivity, big data analysis using business intelligence to uncover market trends, hidden

patterns, correlations and other important business information is critical for success in a

competitive business environment. To reap the full benefits of big data analytics and business

intelligence, it is not only critical for businesses to understand the importance of their stored data

security, but also how the information system can support organizational decision making. This

paper a discussion on the database, big data and Business Intelligence within the organizational

context, additionally, the paper will give a discussion on how information systems support

decision making in the organization, as well as how organizations can protect and safeguard their

databases.

Database, Big Data, and Business Intelligence

Database

A database is fundamentally an accumulation of data composed in a manner that a PC

program can rapidly choose fancied bits of information. A database can be understood as an

electronic recording framework.

Customary databases are composed are fields, records, and documents. A field is a single

piece of data; a record is one finished arrangement of fields, and a document is an accumulation

of records. For instance, a phone directory is practically equivalent to a record. It contains a

rundown of records, each of which comprises of three fields: name, address, and phone number.

Organizations interact and process big amounts of data on a daily basis while making different

Storage and Protection of Business Data 4

decisions. Storage of such data is critical in future decision making; therefore, it is vital for any

organization to have an effective means of storing its data. It the current digital world, databases

have proved to be the most efficient way of storing data (Coronel & Morris, 2016). To access

data in a database, one requires a database management system (DBMS); this a software

application that allows users you to enter, compose, and select data in a database.

Big data

Big data is a term that describes the expansive volume of information both organized and

unstructured that immerses a business on an everyday premise. Be that as it may, it's not the

measure of information that is critical, it what organizations do with the information that matters.

Big data can be broken down to bits of knowledge that prompt to better choices and vital

business moves. Big data is regularly described by 3Vs: the extreme volume of information, the

wide assortment of information sorts and the speed at which the information must be handled

(Vossen, 2014). Albeit enormous information doesn't liken to a particular volume of information,

the term is regularly used to portray terabytes, petabytes and even exabytes of information

caught after some time.

Business Intelligence

Business intelligence (BI) is an innovation driven process for investigating information

and introducing noteworthy data to help corporate officials, business administrators and flip side

clients settle on more educated business choices (Debortoli, Muller & vom Brocke, 2014). BI

includes a wide assortment of devices, applications, and techniques that empower associations to

gather information from inner frameworks and outer sources. It aids in setting up such

information for examination, create and run questions against the information, and make reports,

Storage and Protection of Business Data 5

dashboards and information representations so as to make the information outcomes accessible to

corporate leaders and also operational laborers (Vossen, 2014).

The potential advantages of business knowledge programs incorporate quickening and enhancing

basic leadership; upgrading inside business forms; expanding operational effectiveness; driving

new incomes; and increasing upper hands over business rivals (Demirkan & Delen, 2013). BI

frameworks can likewise help organizations recognize advertise patterns and spot business issues

that should be tended to.

How Information Systems Support Decision Making In Organization

Management information system or decision support systems join equipment,

programming and system items in an incorporated arrangement that gives directors information

in an organization appropriate for investigation, observing, basic leadership and detailing

(Galliers & Leidner, 2014). The framework gathers information, stores it in a database and

makes it accessible to clients over a safe system.

Information

When an organization constructs choices in light of management information accessible

from data management frameworks, they reflect information that originates from the operations

of the organization (Baltzan & Phillips, 2016). Management decision support systems take

information produced by the organization working level and arrange them into valuable

configurations. Decision support systems take in business figures like costs, ventures and

workforce information, processes them to give the best possible course of actions that can be

taken based on the business figures (Pettigrew, 2014). On the off chance that there is a need to

know how much profit an organization has made in a financial year or over the years so as to

Storage and Protection of Business Data 6

make informed decisions, management information data frameworks can give precise reports

giving you that data

Business Case Scenarios

The ability to run scenarios is a key basic leadership apparatus. Some decision support

systems have this component worked in, while others can give the data required to running

scenarios on different applications, for example, spreadsheets (Xu, Da Xu, Cai, Hu & Bu, 2014).

A business choice is affected by what happens on the off chance that a specific way path is

chosen. Imagine a scenario in which there is a demonstration on how diverse factors change

when a specific choice is settled upon. A business can enter lessened staff levels or expanded

advancement spending plans to see what happens to income, costs, and benefit from various

levels of cuts or increments. Management information systems assume a basic part in making

reasonable scenarios conceivable.

Projections

Any choice a business rolls out, there is always an expectation in outcome improvements

and may oblige alterations to your business system and general objectives. Management

information system either have to drift examination worked in or can give data that gives a

business a chance to do such an investigation (Pettigrew, 2014). Run of the mill business

methodologies incorporates projections for all essential working outcomes. A pattern

investigation permits the visualization on what such outcomes would be in the present

circumstance, and how they will change once executed based on the choices taken (Galliers &

Leidner, 2014). The new values shape the premise of the key approaches taken by the business.

Implementation

Storage and Protection of Business Data 7

When a business settles on a choice based on particular objectives and has the

documentation from management information system and pattern investigation to bolster the

desires, there is a need to track organization results to ensure they do not deviate from the plan

(Laudon & Laudon. 2013). Management information system avails the information needed to

figure out if the selected choices have had the coveted impact, or whether there is a need to make

a remedial move to achieve your objectives (Scott & Davis, 2015). On the off chance that

particular outcomes are not on track, management information system can be utilized to assess

the circumstance to facilitate the taking of extra measures if necessary.

The Protection and Safeguarding Of Organizational Databases

Organizations often strive to ensure that their data is not lost or is retrievable in case of a

calamity happen; however, loops are inevitable. It is critical that any organization’s data is

protected particularly organizations dealing with sensitive client information, for example,

money related data. For this reason, it is essential for business organizations to have a formal

crisis or disaster readiness and recovery plan (Gibson & Holland, 2014).

Moving down nearby may not be adequate to shield independent companies from cataclysmic

events – especially if the business is situated in a region inclined to hurricanes and flooding

emergencies. The improvement of a readiness plan that incorporates answers for securing basic

data, such as, backing data off-line (Zsambok & Klein, 2014), could be the difference between

getting a business on its approach to recuperation and stressing over its survival. The following

four ways can be used to protect organizational data

Automate Back-Ups and Build Offsite Redundancies

Ensuring there is a copy of an organizational database is an absolute necessity for

organizational survival (Demirkan & Delen, 2013). Though the cost of having a duplicate copy

Storage and Protection of Business Data 8

of a database may be significantly high; the estimation of buying a hard drive that will store

terabytes of information is about $100; however, this cannot be compared to the cost of losing

organizational data in case of a catastrophe. Organizations ought to likewise consider moving

down to an outsider or off-site backup. In the event that business information is obliterated in a

catastrophe, the business will have the genuine feelings of serenity of realizing that the

information is retrievable. Cloud back-ups are increasingly becoming common among the

present organizations (Laudon & Laudon, 2013).

Server Virtualization

Currently, most organizations have virtualized their servers as a way of securing their

data in case of a catastrophe. This move comes with enhanced information security referred to as

an immediate advantage (Deshmukh, Pasha, Qureshi, 2013). Server virtualization permits

organizations to take one physical server and run a few virtual server conditions, for instance,

your email, database, and web servers on it. Basically, one server plays out the work of

numerous. Alongside money-saving advantages, virtualization likewise makes catastrophe

recuperation less demanding (Zsambok & Klein, 2014).

Run a Full-Service Security Suite

Protecting information is about more than supporting it up. Interruption endeavors, PC

infections, and malware all can undermine business information. Considering the introducing an

equipment firewall can be a sure way of securing organizational data (Alruwaili & Gulliver,

2014). Most frameworks will attempt to ensure the security of data; however, such measures may

not be sufficient for both external and internal threats. However, firewalls are actuated; the risk is

minimized to only the risks (Jager, Monitzer, Rieken, Ernst & Nguyen, 2014). A protected

Storage and Protection of Business Data 9

machine-based firewall between the Internet and the business information will filter gate crashers

and dangers before they enter the organizational system.

Have a Big Picture Disaster Preparedness Plan

Between 40-60% of private companies never revive their entryways after a catastrophe

(Chavhan, Wankhade & Tagalpallewar, 2013). While the estimation of business information is

endless, having a plan on how to secure or retrieve business and clients’ data is a guarantee that a

business is ready up for the consequence of man-made or natural catastrophes. It is critical to

have a plan in place to reduce the effect of calamities, and a debacle recuperation plan to

guarantee the business is operational sooner after a calamity.

Conclusions

The business application of big data is increasingly growing as businesses devote their

resources towards tapping vast information flowing into their organizations. This has a

tremendous effect on business intelligence and how such data is stored. The ability to store and

retrieve, as well as, to recover data in case of a calamity is critical for the success of any

organization. Stored data (database) can be useful to an organization in making business

projections and creating simulated business scenarios. With the aid of Business Intelligence, this

enables business executives to test different scenarios before their implementation. An

organizational database can be protected and safeguarded through, automate back-ups and build

off-site redundancies, server virtualization, run a full-service security suite and have a big picture

disaster preparedness plan.

Storage and Protection of Business Data 10

References

Alruwaili, F. F., & Gulliver, T. A. 2014., Safeguarding the Cloud: An Effective Risk

Management Framework for Cloud Computing Services.International Journal of

Computer Communications and Networks (IJCCN), 4(3), 6-16.

Baltzan, P., & Phillips, A. 2016., Business driven information systems. McGraw Hill Education.

Chavhan, N. B., Wankhade, P. J., & Tagalpallewar, S. K. (2013). Implementation of data leakage

detection & protection using allocation strategies. International Journal for Engineering

Applications and Technology, 174-181.

Coronel, C., & Morris, S., 2016. Database systems: design, implementation, & management.

Cengage Learning.

Debortoli, S., Müller, O., & vom Brocke, J., 2014. Comparing business intelligence and big data

skills. Business & Information Systems Engineering, 6(5), 289-300.

Demirkan, H., & Delen, D., 2013. Leveraging the capabilities of service-oriented decision

support systems: Putting analytics and big data in cloud. Decision Support

Systems, 55(1), 412-421.

Galliers, R. D., & Leidner, D. E., 2014. Strategic information management: challenges and

strategies in managing information systems. Routledge.

Gibson, N., & Holland, G., 2014. A dual-database trusted broker system for resolving protecting

and utilizing multi-sourced data. In Information Quality and Governance for Business

Intelligence (pp. 352-362). IGI Global.

Jager, H. A., Monitzer, A., Rieken, R., Ernst, E., & Nguyen, K. D., 2014. Sealed cloud-a novel

approach to safeguard against insider attacks. InTrusted Cloud Computing (pp. 15-34).

Springer International Publishing.

Storage and Protection of Business Data 11

Laudon, K. C., & Laudon, J. P., 2013. Management Information Systems 13e.

Pettigrew, A. M. (2014). The politics of organizational decision-making. Routledge.

Scott, W. R., & Davis, G. F., 2015. Organizations and organizing: Rational, natural and open

systems perspectives. Routledge.

Vossen, G., 2014. Big data as the new enabler in business and other intelligence. Vietnam

Journal of Computer Science, 1(1), 3-14.

Xu, B., Da Xu, L., Cai, H., Xie, C., Hu, J., & Bu, F., 2014. Ubiquitous data accessing method in

IoT-based information system for emergency medical services. IEEE Transactions on

Industrial Informatics, 10(2), 1578-1586

Zsambok, C. E., & Klein, G., 2014. Naturalistic decision making. Psychology Press

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