The New Frontier: Data Analytics
Information Systems Decision Making (CIS500)
Professor Raied Salman
February 6, 2016
The New Frontier: Data Analytics
What is Data Analytics? Data Analytics is the science of examining raw data with the purpose of drawing conclusions about that information. According to Turban, data analytics refers to the specialized software, capabilities, and components geared towards exploring huge volumes of data to provide greater insight and intelligence quickly in order to sale, market or influence the sale of a campaign. Looking closely, you will find that data analytics is used by several businesses and industries to help companies make more informed business decisions and help prove or disprove theories or existing models within the field of science.
The use of data analytics in businesses is for the purpose of examining business data with a special emphasis on statistical data. Business Analytics further help the businesses automate and optimize their business processes, especially in cases where data plays a pivotal role and treats data as a corporate asset for leverage in gaining a competitive advantage over other companies.
Successful business analytics typically depend on data quality, highly skillful and experienced professionals who understand technologies, knows how it works and understands the organizations processes in depth. The organization should have a capable infrastructure to support business operations and analytics. When a company decides to use analytics, they will need to determine how it could benefit them at the same time considering the following:
• Exploration of data so as to find patterns and trends
• Identifying relationships i...
... middle of paper ...
...ess. From Government entities to social media sites, many organizations are incorporating data analytics as a tool to manage the large quantities of data and information that are coming into and out of the information management systems.
Dale, B. G., van der Wiele, T., van Iwaarden, J. (2007). Managing Quality, 5th edition, Oxford,
Blackwell Publishing LtdManaging and using information systems. (5th ed.). Hoboken, NJ: John Wiley & Sons Inc.
Lupan, R., Bacivarof, I. C., Kobi, A., Robledo, C. (2005). A Relationship Between Six Sigma
and ISO 9000:2000, Quality Engineering, Vol. 17, No. 4, 2005, pp. 719–725
IBM Business Analytics in the Cloud. (n.d.). Retrieved from
Turban, E., Volonino, L., & Wood, G. (2013) Information technology for management (9th ed.). Hoboken, NJ: John Wiley & Sons.
Need Writing Help?
Get feedback on grammar, clarity, concision and logic instantly.Check your paper »
- Business Intelligence, Analytics, and Big Data Figure 1 summarizes my understanding of the relationship between Business Intelligence (BI), Business Analytics (BA), and Big Data. At center of the figure is the data used by analytics to generate business intelligence so that companies can make business decisions that is based on strong foundation of data analysis. Business Intelligence (BI) Howard Dresner of the Garner Group introduced the term “Business Intelligence” in 1989 and defined it as, “a set of concepts and methods to improve business decision making by using fact-based support systems (Debortoli et al, 2014), thus it is an all-encompassing field that uses analytics to process big... [tags: Business intelligence, Analytics, Data analysis]
896 words (2.6 pages)
- Analytics can be defined as the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics is used in many industries to allow companies and organization to make better business decisions and in the sciences to verify or disprove existing models or theories. Analytics focuses on inference, the process of deriving a conclusion based solely on what is already known by the researcher. In information technology, the term has a special meaning in context of IT audits, when the controls for an organization’s information systems, operations and processes are examined.... [tags: Data analysis, Business intelligence, Analytics]
963 words (2.8 pages)
- Proposal to Utilize Big Data Analytics to put J. Crew Group Inc. Back on Their Feet I propose that J. Crew Group Inc. adopts the trend of using Big Data Analytics. To make this possible, I suggest that J. Crew Group Inc. subscribes to Big Data Analytics Software Tableau for $20,000 a year. This software will allow J. Crew Group Inc. analytics team to discover why their company fell in a slump, and how they are going to fix it. Current Situation According J Crew Group Inc.’s investor reports last quarter, sales dropped an astonishing 6%.... [tags: Security, Computer security, Data, Data analysis]
732 words (2.1 pages)
- Only when an organization is capable of using analytics to its full potential will it have a sustainable competitive advantage. The number of organizations using analytics is growing exponentially. Much information can be gained just from analyzing one variable, but every piece of information is significant in some way. Businesses use analytics to make improvements, better see future demands, meet sales forecasts, make decisions, come up with strategy plans, and rationalize and validate key performance indicators.... [tags: Management, Strategic management, Data mining]
734 words (2.1 pages)
- Our every day life has changed forever, thanks for the ubiquitous smart phones and technology dependent information age. We leave a trail of data while travelling, shopping, driveing, bloggin, and even voting. All of these activities leave a digital signature unique to us, which if analyzed can predict our next move. Similarly, a large set of data is being created each day by businesses, researchers and the World Wide Web. According to an estimate by the government, there are about 1.2 zettabytes (250 billion DVDs) of electronic data generated each year by everything from underground physics experiments and telescopes to retail transactions and Twitter posts (Mervis 22).... [tags: Technology, Data Growth, Big Data]
1495 words (4.3 pages)
- Knime, Rosetta, and Weka formed the three data mining tools that I selected for comparison from the list. Knime (the Konstanz Information Miner) is an open source data analytics suite that is not based on scripting language for interaction, but instead on an easy to use GUI. Knime uses modular procedures based on a workflow, and nodes in the workflow implement these procedures. The nodes include I/O, database connections, data manipulation, data views for visualization, and mining of all node. Each node can be configured with different parameters.... [tags: Data mining, Data analysis, Business intelligence]
739 words (2.1 pages)
- In today’s society, technology has become more advanced than the human’s mind. Companies want to make sure that their information systems stay up-to-date with the rapidly growing technology. It is very important to senior-level executives and board of directions of companies that their systems can produce the right and best information for their company to result in a greater outcome and new organizational capabilities. Big data and data analytics are one of those important factors that contribute to a successful company and their updated software and information systems.... [tags: Technology, Human Mind, Companies, Outcomes]
1758 words (5 pages)
- There are several pieces to the puzzle when it comes to the Production Possibility Frontier model. The first most important thing to understand about this graph is what a production possibility frontier (PPF for short) actually is. Essentially, a PPF is the curve (line) on the graph that demonstrates the place where a two-good economy is the most efficient in its production of, for example, smartphones and computers and is usually constructed on the basis of inputs and outputs (Afonso, 2013, p. 4488).... [tags: Economics, Production-possibility frontier]
747 words (2.1 pages)
- The recent studies shown that almost 30 million companies have a great investments in “Web Analytics”, but they still struggle to make right or meaningful business decisions. Moreover, there are terabytes of data and gigabytes of reports and megabytes of Excel and PowerPoint files which store in most companies without taking any advantage of all those data and actionable insights. Also, many of those companies lack someone who can analyze the huge amount of data and someone who can make a right decision.... [tags: Web analytics, World Wide Web, Data, Page view]
731 words (2.1 pages)
- Google Analytics in E-commerce Google Analytics offers various features and state of the art tools that can aid website owners to understand their users better. The data collected from Google Analytics will help to monitor the progress and the performance of your website. Google Analytics does not only understand the behavior of website users but it is also a powerful tool that business owners and e-commerce companies can use to uncover a tremendous amount of data that can be used to enhance marketing and business strategies.... [tags: Marketing, Sales, Web analytics, Filters]
863 words (2.5 pages)