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Assignment 1: The New Frontier: Data Analytics

Student First Last Name

Professor Wade M. Poole, Ph.D.

CIS 500 Information Systems for Decision-Making

Today’s Date (Month, Day Year)

Running head: The New Frontier: Data Analytics

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Assignment 1: The New Frontier: Data Analytics

Introduction

The development of Information Systems for Decision-Making presents many IT

management opportunities, challenges and concerns for most influential IT managers. Firstly

(element or topic 1), in this paper, it will define data analytics in general and provide a brief

overview of the evolution of utilizing data analytics in business. Secondly (element or topic 2),

the paper will analyze the main advantages and disadvantages of using data analytics within the

industry or company that you have chosen. Thirdly (element or topic 3), the paper will

determine the fundamental obstacles or challenges that business management in general must

overcome in order to implement data analytics. Next (element or topic 4), the paper will suggest

a strategy that business management could use to overcome the obstacles or challenges in

question with a rationale. Further (element or topic 5), the paper will analyze the overall manner

in which data analytics transformed the industry or company selected with regard to customer

responsiveness and satisfaction.

…Second paragraph is not indented…if it is still a part of the introduction.

Lastly (element or topic 6), the paper will speculate on the trend of using data analytics for the

chosen industry or company in the next ten (10) years by providing the one (1) additional type of

data that one could collect by using data analytics with the rationale.

…Second paragraph is only indented…if it is a new element or topic…

According to (Baker, 2015), the author added that given the (1 st paragraph Element 1)

Data Analytics functions, DBMSs are referred to as online transaction processing (OLTP)

systems. OLTP is a design that breaks down complex information into simple data tables. Jones

(2011) further states that this design is very efficient for analyzing and reporting captured

Running head: The New Frontier: Data Analytics

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transactional data. The authors Wilson and Fields (2003) suggest that OLTP databases are

capable of processing millions of transactions every second.

According to Chou (2011), the advantages and disadvantages of using data analytics (2 nd

paragraph) and real-time Big Data Analytics are not only positive as it also offers some

challenges. It requires special computer power: The standard version of Hadoop is, at the

moment, not yet suitable for real-time analysis. New tools need to be bought and there are

however quite some tools available to do the job which Hadoop will be able to process data in

real-time in the future.

Fundamental obstacles or challenges for business management (3 rd

paragraph) in

(Galperin, 2011) suggest that forecasts receive scrutiny because they’re easy to understand. For

purposes of discussion, consider the number of cars rented on a Monday morning by a car

company at a major airport. The company has reservations information, but some people who

have booked won’t show up. Others will walk up to the counter looking to rent at the last

moment. Forecasts of the actual number of people who rent are invaluable for both profitability

and customer satisfaction. A basic forecast of next week’s demand can be generated by looking

at Mondays in the past. Figure 1 shows both observed demand and forecasts made by averaging

the observed demand from all prior weeks.

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Fig. 1 Demand and Forecasts

Strategy to Overcome Obstacles or Challenges (4 th

paragraph)…

How Data Analytics Transformed the Industry or Company (5 th

paragraph)

…The conclusion restates the problem (elements or topics) the paper addresses and offer

a summation or thoughts in areas for the further development...

In conclusion, this paper defined data analytics in general and provided a brief overview

of the evolution of utilizing data analytics in business. Secondly, the paper analyzed the main

advantages and disadvantages of using data analytics within the industry or company that you

have chosen. Thirdly, the paper determined the fundamental obstacles or challenges that

business management in general must overcome in order to implement data analytics. Next, the

paper will suggested a strategy that business management could use to overcome the obstacles or

challenges in question with a rationale. Further, the paper analyzed the overall manner in which

data analytics transformed the industry or company selected with regard to customer

responsiveness and satisfaction. All in all (summation), the development of Information Systems

for Decision-Making presents many IT management opportunities, challenges and concerns for

most influential IT managers to include total cost, scale and potential risk.

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References

Barker, I. (2015). Kyvos Aims to Change the Big Data Analytics Landscape. Retrieved

August 25, 2015 from http://betanews.com/2015/06/30/kyvos-aims-to-change-the-big-

data-analytics-landscape/.

Chou, T. (2011). Security Threats on Cloud Computing Vulnerabilities. Retrieved

August 26, 2015 from http://airccse.org/journal/jcsit/5313ijcsit06.pdf.

Galperin, E. (2011). Database Optimization Techniques You Can Actually Use.

Retrieved August 26, 2015 from http://www.techfounder.net/2011/03/25/database-

profiling-and-optimizing-your-database-the-generic-version/.

Imperva. (2015). Top Ten Database Security Threats. Retrieved August 27, 2015

from http://www.imperva.com/docs/wp_topten_database_threats.pdf.

Wilson, E. and Fields, J. (2003). Concurrency Problems. Retrieved August 27, 2015

from https://technet.microsoft.com/en-us/library/Aa213029(v=SQL.80).aspx.