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Hatem Benaghil

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Hatem BenAghil has MSc. in Business analytics and M.S. in Technology management. He has over ten years' work experience in small to large international companies. He has held various technical and managerial positions throughout his career that include Senior business analyst Regional manager.Mr. Aghil's work experience includes Information Systems, Data Analytics, marketing manager, Project Management, Financial advisor.Hatem BenAghil is a certified data analysis and a member of the international institute of business analysis.

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Theresa Akpoghome

Felicite Fairer-Wessels

University of Wisconsin Milwaukee

Anabela Mesquita

ISCAP

Universidade Nova de Lisboa

Syed Muhammad Ali

Laurence Prusak

Katarzyna Materska

University of Silesia in Katowice

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Papers by Hatem Benaghil

What kind of resource is information?

International Journal of Information Management, 1991

The idea of 'information as resource', and the related 'information as commodity' is reviewed. At... more The idea of 'information as resource', and the related 'information as commodity' is reviewed. Attributes of information which make it appear similar to, and different from, other resources are evaluated. The term is used in two rather different ways: to indicate the importance of information within an organization, and to imply the appropriateness of a resource management model to handle information. We find the first to be valid, and the second unjustified. The resource view of information is a useful analogy, but it should not be pushed too far.

Willingness to Provide shoppers Information Online.docx

Willingness to Provide shoppers Information Online, 2018

Analyze House Price for King County.docx

The dataset has a good mix of categorical independent variables, and a continuous dependent varia... more The dataset has a good mix of categorical independent variables, and a continuous dependent variable (price). This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold from May 2014 to May 2015. It is a useful dataset for evaluating simple regression models. In this dataset, I predict the sales price of houses in King County, Seattle. It includes homes sold between May 2014 and May 2015. The most significant obstacle I encountered was while cleaning our original dataset. Initially, the data I planned to use was from data.boston.gov. Based on professor recommendation, I replaced the data set. The old dataset needs a large amount of work, not enough variables, and data is old. I chose newly cleaned data-set to work on instead of Boston city data-set. The new data-set for “King County” in Washington state.

Analyze House Price for King County copy.docx

The dataset has a good mix of categorical independent variables, and a continuous dependent varia... more The dataset has a good mix of categorical independent variables, and a continuous dependent variable (price). This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold from May 2014 to May 2015. It is a useful dataset for evaluating simple regression models. In this dataset, I predict the sales price of houses in King County, Seattle. It includes homes sold between May 2014 and May 2015. The most significant obstacle I encountered was while cleaning our original dataset. Initially, the data I planned to use was from data.boston.gov. Based on professor recommendation, I replaced the data set. The old dataset needs a large amount of work, not enough variables, and data is old. I chose newly cleaned data-set to work on instead of Boston city data-set. The new data-set for “King County” in Washington state.

Willingness to Provide shoppers Information Online.docx

What kind of resource is information

Analyze House Price for King County, Washington

The information .docx

The information is a new commodity spawns a profitable product and fast-growing industry. A many ... more The information is a new commodity spawns a profitable product and fast-growing industry. A many years ago, the resource in question was coffee and oil, today the concerns are being raised by the technology giants that work mostly with user's data. The information is considering the oil of the digital era. The giant technology firms such as Google, and Facebook are the most valuable companies in the market. Facebook and Google ranked the highest revenue growth in digital There is a political issue raised for public few weeks ago that shows how vital the information as a precious resource is the political issue that affects Facebook. When it occurred that political company calls Cambridge Analytical hired by the president Trump campaign attained access to private user's information on millions of Facebook accounts has flashed new questions about how the social media information is valuable for political campaigns and how is the data that users provided in the social media are valuable. Cambridge Analytica, a political data company that hired by President Donald Trump's in the 2016 election campaign, got access to more than 50 million private user's information in Facebook. Cambridge Analytica offered tools that can identify the behaviors and personality of American voters and use it for president Trump benefit. The information was a part of which was disclosed by the New York Times, included the user's private information and user's identities, friend's networks and their likes and shares. The main idea was to track the personality traits based on what those users like on Facebook pages. The value of information is increasing day after day and becomes a strategic asset for most of the companies. Information can be used effectively by a firm to maintain a competitive edge in the market. For shareholders, user's data or " customer's data " is a financial potential. For the firm itself, the information can be used to enhance the way it does to improve business. However, the value of information still based on who uses it, and how it is being used for, also what context that used. The value of information or " Raw data " differs from cents to a hundred dollars per person. The knowledge of 'information as a resource,' and the related 'information as product' is reviewed. Qualities of information which make it looks similar to other resources that are evaluated. The term used in two slightly different ways: to specify the importance of information within a company, and to suggest the appropriateness of a resource management model to handle data. I find that the first to be valid and the second unjustified.

Data quality problem

Understanding the leading cause that comes behind the data quality problem is a critical primary ... more Understanding the leading cause that comes behind the data quality problem is a critical primary step in an actual data quality initiative. By evaluating data quality problems, companies can start to turn off the continues flow of low-quality data. Organizations looking to develop data quality should be alert of potential red flags to prevent drawbacks and improve analytical insights. Inaccurate Client Data: The capability to reach current and potential clients data effectively is essential to any organization. The challenge of the company's face is that client personal data touches every aspect of an organization, and personal data flows through all phases of the client's lifecycle. This includes personal data that collected at the time of purchase or order placement to cross-sell offers are generated. When it comes to cleaning personal data, the marketing leaders and IT department need to understand the data to find the source of common errors such as address records with missing digits or incomplete phone numbers. Once identified the data quality issue, the company team can provide emphasis on cleaning up data quality issues. Next, data capture standards should be evaluated by related departments in the company and then all gatherings need to reach an agreement on standardized formatting and controls the data collection process. It is hard to focus on data quality with big data: Big data is usually a challenge for IT departments, CIOs and marketing managers because of the nature of relational databases. The company's data systems often struggle to keep pace with the size of data collected and the difference of information sources. When lousy quality data enters the system even it is a small error like an incorrect entry data such as (ID, Date) there is a growing effect as data is analyzed, compiled and filtered throughout the company's ERP, CRM billing and dataset from deferent recourses. A big data collection action aims to capture diverse data points that provide a more understanding of the client's needs. Captured high-quality data can boost competitive research and enhance the performance of analytics. Big data captured divided into three categories: unstructured (videos, text, audio), semi-structured data (spreadsheets, email, reports,), and structured data (machine data, financial models). Understanding the relevance of data type will certify data quality is preserved and the data shows presented in a meaningful and relevant way. The organization sometimes are unaware of how many issues are hiding in their data. Companies should always be profiling the data and gaining an eagle eye view into the data that they have in their system. Firms often caught off guard when an issue came up because of data quality problems in the system. Between all the numbers, dates and mix languages in the company's databases, the organizations should be proactive address the data quality problems for the business before the data issues impact the business negatively.

Legal Sea Foods Final report

Finale—Just Desserts

F elicity Klass took the top document out of her in-box and considered the note attached: "What d... more F elicity Klass took the top document out of her in-box and considered the note attached: "What do you think of this? Paul." Paul Conforti, one of the owners of Finale, the Boston dessert restaurant chain, wanted Felicity to look at the April 2010 market research summary from Survey on the Spot, a mobile market research application. This application allowed customers to fill out a real-time survey about their experience on their smartphones or online while still in the restaurant. In early 2010, Conforti had been one of the first to adopt the new survey method, seeing it as direct information from the customer.

Drafts by Hatem Benaghil

Research statement.docx

Hatem Ben Aghil , 2018

Risk, and improve electronic payments The importance of this research is to explain and enhance t... more Risk, and improve electronic payments The importance of this research is to explain and enhance the trust relationship between online shoppers and websites. The purpose of this research is to enhance shoppers trust in websites by discussing the privacy risk and work on to improve electronic payments. Also, addressing the factors that can strengthen shopper's confidence in sites by identifying the critical role played by the factors that strengthen customer privacy and improving the electronic payment which can lead to a successful business. The success of electronic commerce businesses based on how the shoppers willing to provide their personal information to the online shops. Information Systems field lacks research conducted on the factors that enhance customer trust in e-commerce Web sites. The research that does is mostly anecdotal and exploratory. Even so, there has been an extensive study in the field of IS success. However, determining the success of an electronic payments system carries its unique issues that need to be addressed. The most notable of these issues is what Web design factors can be applied to e-commerce Web site success.

What kind of resource is information?

International Journal of Information Management, 1991

The idea of 'information as resource', and the related 'information as commodity' is reviewed. At... more The idea of 'information as resource', and the related 'information as commodity' is reviewed. Attributes of information which make it appear similar to, and different from, other resources are evaluated. The term is used in two rather different ways: to indicate the importance of information within an organization, and to imply the appropriateness of a resource management model to handle information. We find the first to be valid, and the second unjustified. The resource view of information is a useful analogy, but it should not be pushed too far.

Willingness to Provide shoppers Information Online.docx

Willingness to Provide shoppers Information Online, 2018

Analyze House Price for King County.docx

The dataset has a good mix of categorical independent variables, and a continuous dependent varia... more The dataset has a good mix of categorical independent variables, and a continuous dependent variable (price). This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold from May 2014 to May 2015. It is a useful dataset for evaluating simple regression models. In this dataset, I predict the sales price of houses in King County, Seattle. It includes homes sold between May 2014 and May 2015. The most significant obstacle I encountered was while cleaning our original dataset. Initially, the data I planned to use was from data.boston.gov. Based on professor recommendation, I replaced the data set. The old dataset needs a large amount of work, not enough variables, and data is old. I chose newly cleaned data-set to work on instead of Boston city data-set. The new data-set for “King County” in Washington state.

Analyze House Price for King County copy.docx

The dataset has a good mix of categorical independent variables, and a continuous dependent varia... more The dataset has a good mix of categorical independent variables, and a continuous dependent variable (price). This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold from May 2014 to May 2015. It is a useful dataset for evaluating simple regression models. In this dataset, I predict the sales price of houses in King County, Seattle. It includes homes sold between May 2014 and May 2015. The most significant obstacle I encountered was while cleaning our original dataset. Initially, the data I planned to use was from data.boston.gov. Based on professor recommendation, I replaced the data set. The old dataset needs a large amount of work, not enough variables, and data is old. I chose newly cleaned data-set to work on instead of Boston city data-set. The new data-set for “King County” in Washington state.

Willingness to Provide shoppers Information Online.docx

What kind of resource is information

Analyze House Price for King County, Washington

The information .docx

The information is a new commodity spawns a profitable product and fast-growing industry. A many ... more The information is a new commodity spawns a profitable product and fast-growing industry. A many years ago, the resource in question was coffee and oil, today the concerns are being raised by the technology giants that work mostly with user's data. The information is considering the oil of the digital era. The giant technology firms such as Google, and Facebook are the most valuable companies in the market. Facebook and Google ranked the highest revenue growth in digital There is a political issue raised for public few weeks ago that shows how vital the information as a precious resource is the political issue that affects Facebook. When it occurred that political company calls Cambridge Analytical hired by the president Trump campaign attained access to private user's information on millions of Facebook accounts has flashed new questions about how the social media information is valuable for political campaigns and how is the data that users provided in the social media are valuable. Cambridge Analytica, a political data company that hired by President Donald Trump's in the 2016 election campaign, got access to more than 50 million private user's information in Facebook. Cambridge Analytica offered tools that can identify the behaviors and personality of American voters and use it for president Trump benefit. The information was a part of which was disclosed by the New York Times, included the user's private information and user's identities, friend's networks and their likes and shares. The main idea was to track the personality traits based on what those users like on Facebook pages. The value of information is increasing day after day and becomes a strategic asset for most of the companies. Information can be used effectively by a firm to maintain a competitive edge in the market. For shareholders, user's data or " customer's data " is a financial potential. For the firm itself, the information can be used to enhance the way it does to improve business. However, the value of information still based on who uses it, and how it is being used for, also what context that used. The value of information or " Raw data " differs from cents to a hundred dollars per person. The knowledge of 'information as a resource,' and the related 'information as product' is reviewed. Qualities of information which make it looks similar to other resources that are evaluated. The term used in two slightly different ways: to specify the importance of information within a company, and to suggest the appropriateness of a resource management model to handle data. I find that the first to be valid and the second unjustified.

Data quality problem

Understanding the leading cause that comes behind the data quality problem is a critical primary ... more Understanding the leading cause that comes behind the data quality problem is a critical primary step in an actual data quality initiative. By evaluating data quality problems, companies can start to turn off the continues flow of low-quality data. Organizations looking to develop data quality should be alert of potential red flags to prevent drawbacks and improve analytical insights. Inaccurate Client Data: The capability to reach current and potential clients data effectively is essential to any organization. The challenge of the company's face is that client personal data touches every aspect of an organization, and personal data flows through all phases of the client's lifecycle. This includes personal data that collected at the time of purchase or order placement to cross-sell offers are generated. When it comes to cleaning personal data, the marketing leaders and IT department need to understand the data to find the source of common errors such as address records with missing digits or incomplete phone numbers. Once identified the data quality issue, the company team can provide emphasis on cleaning up data quality issues. Next, data capture standards should be evaluated by related departments in the company and then all gatherings need to reach an agreement on standardized formatting and controls the data collection process. It is hard to focus on data quality with big data: Big data is usually a challenge for IT departments, CIOs and marketing managers because of the nature of relational databases. The company's data systems often struggle to keep pace with the size of data collected and the difference of information sources. When lousy quality data enters the system even it is a small error like an incorrect entry data such as (ID, Date) there is a growing effect as data is analyzed, compiled and filtered throughout the company's ERP, CRM billing and dataset from deferent recourses. A big data collection action aims to capture diverse data points that provide a more understanding of the client's needs. Captured high-quality data can boost competitive research and enhance the performance of analytics. Big data captured divided into three categories: unstructured (videos, text, audio), semi-structured data (spreadsheets, email, reports,), and structured data (machine data, financial models). Understanding the relevance of data type will certify data quality is preserved and the data shows presented in a meaningful and relevant way. The organization sometimes are unaware of how many issues are hiding in their data. Companies should always be profiling the data and gaining an eagle eye view into the data that they have in their system. Firms often caught off guard when an issue came up because of data quality problems in the system. Between all the numbers, dates and mix languages in the company's databases, the organizations should be proactive address the data quality problems for the business before the data issues impact the business negatively.

Legal Sea Foods Final report

Finale—Just Desserts

F elicity Klass took the top document out of her in-box and considered the note attached: "What d... more F elicity Klass took the top document out of her in-box and considered the note attached: "What do you think of this? Paul." Paul Conforti, one of the owners of Finale, the Boston dessert restaurant chain, wanted Felicity to look at the April 2010 market research summary from Survey on the Spot, a mobile market research application. This application allowed customers to fill out a real-time survey about their experience on their smartphones or online while still in the restaurant. In early 2010, Conforti had been one of the first to adopt the new survey method, seeing it as direct information from the customer.

Research statement.docx

Hatem Ben Aghil , 2018

Risk, and improve electronic payments The importance of this research is to explain and enhance t... more Risk, and improve electronic payments The importance of this research is to explain and enhance the trust relationship between online shoppers and websites. The purpose of this research is to enhance shoppers trust in websites by discussing the privacy risk and work on to improve electronic payments. Also, addressing the factors that can strengthen shopper's confidence in sites by identifying the critical role played by the factors that strengthen customer privacy and improving the electronic payment which can lead to a successful business. The success of electronic commerce businesses based on how the shoppers willing to provide their personal information to the online shops. Information Systems field lacks research conducted on the factors that enhance customer trust in e-commerce Web sites. The research that does is mostly anecdotal and exploratory. Even so, there has been an extensive study in the field of IS success. However, determining the success of an electronic payments system carries its unique issues that need to be addressed. The most notable of these issues is what Web design factors can be applied to e-commerce Web site success.