The document describes a proposed relational database system for ABC Healthcare Solutions to address issues with their current non-centralized data storage. The proposed database would consolidate data from various Excel files and systems into a single centralized Microsoft Access database. This would improve data accuracy, reduce redundancy, and allow for more efficient use of resources through standardized forms, queries, and reports. The database design includes eight entities with relationships represented in an ERD. Examples of forms, queries, and a report demonstrate how the new system would address ABC's needs and reflect their business rules and processes. The proposal aims to provide a reliable single source of truth for ABC's data.
- Traditional data warehousing projects are expensive and time-consuming but often still result in managers not having access to the information they need when they need it. Common excuses include bad or inconsistent data, difficulty accessing data across multiple systems, and requiring technical expertise.
- CXAIR is a next generation business intelligence tool that uses search technology to index and query data across multiple sources. It allows users to perform fast ad-hoc queries and build their own reports without technical expertise or dealing with data quality issues.
- By indexing both internal data sources and other corporate assets, CXAIR provides a single access point for all information. It addresses many of the common problems with traditional BI and removes bad data as an excuse for not being able
Real time responses to events will be feasible when enterprises are designed to be maneuverable and their flow of activity is not disrupted by a breakdown in any one component in the chain of business processes that enable the completion of an activity.
Challenges in integrating various DBMS during SAP implementationVignesh Ravichandran
1) The document discusses challenges in integrating data from different databases and data sources during an ERP (SAP) implementation. Key challenges include social issues in getting departments to share data, the large volume and scope of transactional data, complexity when integrating different data structures, and data quality issues.
2) A case study describes a company that faced data quality problems when merging financial data from a parent company during an SAP implementation. reconciling cash-based and accrual-based accounting ledgers was difficult.
3) Other challenges discussed include query performance issues when integrating data from multiple dynamic sources and lack of information makes optimization difficult for the data integration system.
Enterprise Information Catalogue Another WayVictor Zhang
Here I present another perpective on how to organize,catalogue,share and access information or knowledge within enterprise.
It has some ideas on typical scenarios on how we utilize the information to fulfill daily job and also briefs the features of a software which I used to implement the ideas.
It's just a platform which for in-house use and I think it really make some difference to the way how I and my team to tidy-up and share the information.
Welcome any ideas, comments and discussions. You can reach me at victor.reload@gmail.com
Self-service analytics tools are empowering business users to perform complex data analysis without relying on traditional BI teams. This changes risks that must be addressed, including ensuring proper access controls and understanding where data is sourced from. Key considerations for implementing these tools include whether data contains sensitive personal information, who the audience and purpose of analyses are, and who is responsible for data quality.
Trying to answer the question “Where’s the data?” in the context of Information Management projects which involve
packaged applications can be frustrating and time-consuming.
This white paper offers insight into why the traditional methods are not effective and an alternative software based approach to solving the problem.
Closing the data source discovery gap and accelerating data discovery comprises three steps: profile, identify, and unify. This white paper discusses how the Attivio
platform executes those steps, the pain points each one addresses, and the value Attivio provides to advanced analytics and business intelligence (BI) initiatives.
- Traditional data warehousing projects are expensive and time-consuming but often still result in managers not having access to the information they need when they need it. Common excuses include bad or inconsistent data, difficulty accessing data across multiple systems, and requiring technical expertise.
- CXAIR is a next generation business intelligence tool that uses search technology to index and query data across multiple sources. It allows users to perform fast ad-hoc queries and build their own reports without technical expertise or dealing with data quality issues.
- By indexing both internal data sources and other corporate assets, CXAIR provides a single access point for all information. It addresses many of the common problems with traditional BI and removes bad data as an excuse for not being able
Real time responses to events will be feasible when enterprises are designed to be maneuverable and their flow of activity is not disrupted by a breakdown in any one component in the chain of business processes that enable the completion of an activity.
Challenges in integrating various DBMS during SAP implementationVignesh Ravichandran
1) The document discusses challenges in integrating data from different databases and data sources during an ERP (SAP) implementation. Key challenges include social issues in getting departments to share data, the large volume and scope of transactional data, complexity when integrating different data structures, and data quality issues.
2) A case study describes a company that faced data quality problems when merging financial data from a parent company during an SAP implementation. reconciling cash-based and accrual-based accounting ledgers was difficult.
3) Other challenges discussed include query performance issues when integrating data from multiple dynamic sources and lack of information makes optimization difficult for the data integration system.
Enterprise Information Catalogue Another WayVictor Zhang
Here I present another perpective on how to organize,catalogue,share and access information or knowledge within enterprise.
It has some ideas on typical scenarios on how we utilize the information to fulfill daily job and also briefs the features of a software which I used to implement the ideas.
It's just a platform which for in-house use and I think it really make some difference to the way how I and my team to tidy-up and share the information.
Welcome any ideas, comments and discussions. You can reach me at victor.reload@gmail.com
Self-service analytics tools are empowering business users to perform complex data analysis without relying on traditional BI teams. This changes risks that must be addressed, including ensuring proper access controls and understanding where data is sourced from. Key considerations for implementing these tools include whether data contains sensitive personal information, who the audience and purpose of analyses are, and who is responsible for data quality.
Trying to answer the question “Where’s the data?” in the context of Information Management projects which involve
packaged applications can be frustrating and time-consuming.
This white paper offers insight into why the traditional methods are not effective and an alternative software based approach to solving the problem.
Closing the data source discovery gap and accelerating data discovery comprises three steps: profile, identify, and unify. This white paper discusses how the Attivio
platform executes those steps, the pain points each one addresses, and the value Attivio provides to advanced analytics and business intelligence (BI) initiatives.
EmployeePages The next generation staff directoryTIMETOACT GROUP
Employees need a user interface with all relevant and exact information. With a Coporate Directory and the visualization of all organizational changes in a chartview, the organizational structur become more clear, transparent and personnel.
The document discusses the importance of understanding and properly managing your organization's data. It notes that data is often stored in many different locations like SharePoint, file shares, cloud services, and personal devices. Without proper taxonomy and classification, data becomes difficult to govern and ensure compliance. The author recommends performing full-text reviews of data across all locations to understand what information is stored and ensure policies are followed. Automated processes can then be implemented to enforce compliance by moving, tagging, or modifying data and access permissions based on policy violations found.
Analyzing data quickly for the most relevant information allows you to make informed decisions at the time they matter most: In the moments before a promising prospect turns into a lost opportunity. But the sheer volume of data involved in making business decisions continues to grow exponentially by the day. In addition, the ability to access pertinent information quickly depends on how the data in your Oracle E-Business Suite (EBS) is structured, and whether it is complete, consistent and correct.
View the original Blog post: http://www.eprentise.com/blog/r12/you-cant-find-it-if-its-not-there/
Website: www.eprentise.com
Twitter: @eprentise
Google+: https://plus.google.com/u/0/+Eprentise/posts
Facebook: https://www.facebook.com/eprentise
Ensure your data is Complete, Consistent, and Correct by using eprentise software to transform your Oracle® E-Business Suite.
BRIDGING DATA SILOS USING BIG DATA INTEGRATIONijmnct
1) The document discusses how big data integration can be used to bridge data silos that exist in many enterprises due to different business applications generating structured, semi-structured, and unstructured data. 2) It explains that traditional data integration techniques are not well-suited for big data due to issues with scale and handling semi-structured and unstructured data. 3) Big data integration techniques like Hadoop, Spark, Kafka and data lakes can be better suited for integrating large heterogeneous data sources in real-time or in batches at scale.
Avail our Data Appending Services to ensure that your Data Management services are up-to-date with the latest information. We help you identify obsolete and missing data with most recent, relevant information to gain an edge over your competitors.
Moreover, our Data Cleansing Services promptly and accurately append the missing information in the database like email addresses, telephone numbers, fax numbers, titles etc and keeps your target lists error-free.
Microsoft SQL Server 2014 mission critical performance tdm white paperDavid J Rosenthal
This document discusses how organizations now require mission-critical capabilities to handle increasing data volumes and complexity. It examines how SQL Server provides enterprise-grade security, availability, performance and support for complex data types to meet these new mission-critical needs. It also compares the total cost of solutions that provide built-in mission-critical functionality versus those requiring additional purchased features.
This document discusses three ways to improve healthcare data quality when implementing an Enterprise Data Warehouse (EDW). It recommends establishing realistic expectations about data quality issues, understanding the operational causes of data problems, and improving data quality upfront through data governance, identifying subject matter experts, and standardizing the data model. Addressing data quality proactively can help ensure a successful, efficient EDW implementation.
Slow Data Kills Business eBook - Improve the Customer ExperienceInterSystems
We live in an era where customer experience trumps product features and functions. How do you exceed customer’s expectations every time they interact with your organization? By leveraging more information and applying insights you have learned over time. Turning data-driven power into delightful experiences will give you the advantages required to succeed in today’s climate of one-click shopping and crowd-sourced feedback. Whether you are a retailer, a banker, a care provider, or a policy maker, your organization must harness the power of growing data volumes, data types, and data sources to foster experiences that matter.
This document discusses the business case for advanced data visualization (ADV). It argues that ADV provides benefits like enabling users to process larger amounts of data more efficiently and detect trends more easily. ADV enhances the computer-human interface by increasing user awareness and focus. It allows enterprises to optimize human capital and performance. The document outlines best practices for implementing ADV, including making solutions agile, interactive, collaborative, and relevant to specific business needs.
Tim Mills-Groninger has over 25 years of experience in business intelligence, data warehousing, and analytics. He has implemented SQL Server Integration Services, Analysis Services, and Reporting Services at AXA-Assistance to consolidate data and create reports and dashboards. Mills-Groninger also has experience consulting for non-profits on software selection, database design and maintenance, and operational support using Microsoft tools.
IT plays a critical role in managing big data and selecting infrastructure to support current and future analytics needs. CIOs can lead IT reactively to needs or proactively implement strategic solutions. This document outlines key elements of a strategic big data analytics architecture, including in-database analytics, in-memory processing, and Hadoop, and criteria for evaluating solutions like analytical speed and flexibility. CIOs who implement strategic solutions that meet business needs can raise IT's profile in the organization.
Presented at SharePointFest Seattle 2019 by Microsoft RD + MVP Christian Buckley (@buckleyplanet) and Sr. Product Manager at Microsoft, Mark Kashman (@mkashman).
There are many solutions that allow for collaboration with customers, partners, and virtual teams that stretch inside and outside of your organization, but which tools work the best in different scenarios?
In this session geared toward end users, we'll discuss how the latest Office 365 tools and solutions can be leveraged for different extranet scenarios, and help you to decide which of them best fit your specific needs. Solutions to be discussed include SharePoint, Teams, Yammer, OneDrive, Stream, and more.
Tim Mills-Groninger has over 20 years of experience in business intelligence, data warehousing, and database management. He has implemented CRM, OLTP, and analytics solutions for various organizations. His technical skills include SQL Server, SSIS, SSAS, and SSRS. He has experience conducting root cause analysis on data irregularities and designing OLAP and complex reporting environments.
How Can a SharePoint Solution Help Your BusinessSunil Jagani
Document on introduction to sharepoint, its features and How Can a SharePoint Solution Help Your Business? you can visit http://www.alliancetek.com/collaboration-tools.html for More Information on SharePoint.
Andrew Skolnick has created several databases and presentations to showcase his work as a business consultant. Some of his accomplishments include an intake database to capture client information, a custom contact database that uses a flexi-grid to import varied data formats, and an insurance database. He is involved in all aspects of business from database design to report generation to broader operational tasks.
The document discusses the current and future use of real-time data in healthcare. It describes how one hospital is already using connected devices to monitor patients' health metrics in real-time. However, most healthcare providers currently make limited and uncoordinated use of real-time data. The biggest challenges are integrating real-time data into processes and designing new processes around it. Hospitals are investing in experts and technologies to better utilize real-time data through clinical decision support systems and predictive analytics. While still early, real-time data has the potential to greatly improve personalized and preemptive healthcare.
This document discusses how software-as-a-service (SaaS) solutions like online workspaces are changing how businesses share information in today's environment. Traditional document sharing methods are slow and insecure, while on-premise software is expensive and complex to implement. SaaS solutions offer rapid deployment, security, compliance support, and low costs. Online workspaces in particular provide a secure way for companies to grant access to internal and external users anywhere. They are proving beneficial for reducing costs and transaction times in processes like financial transactions, safety reporting, and investor communications. As work becomes more decentralized, businesses are recognizing SaaS as a better solution for document management needs.
AssigmentRespond to two or more of your colleagues in one or mo.docxjane3dyson92312
Assigment:
Respond to two or more of your colleagues in one or more of the following ways:
· Offer your colleague one or more lessons you have learned, based on your own experience with the types of data resources and systems presented.
· Expand on your colleague's post by sharing how your organization has used these data resources and systems.
· Offer ideas for how the data resources or systems presented might be used in your organization. Identify any obstacles that your organization might face or has faced when using these data resources and systems.
· Compare your colleague's findings with your own to develop a set of recommendations from which organizations with similar data resource and processing needs might benefit most.
· Expand upon potential issues that could arise and offer one or more additional recommendations about how you would address those.
Please be specific, and use citations and references as appropriate and necessary.
1st Colleague to respond to:
Shared Practice—Data Resources and Processes That Matter to Your Organization
Within my current organization, there are multiple utilizations of data resources, data processing, and or storage systems. Without such services and systems our organization would be non-existent and unable to compete within the industry today. The four most critical data systems are our electronic health record which would be identified as a data processing system, an accounting system that utilizes a database application to track receipts for payments and donations, Paylocity a web-based data system that tracks time and attendance through payroll software, as well as serves both physical and virtual which would be considered a data storage system.
The Electronic Health Record (EHR) is hosted on a virtual server that allows the organization to collaboratively document and track the status of clientele. The virtual server is a secured server that has an encrypted single host to ensure the confidentiality and safety of all information being computed and stored. Thus, allowing everyone at the agency to work from the same portal and have shared access to all organizational records. Enhancing patient coordination and care. Within the utilization of a virtual server when updates are made to the physical server, we are not able to access the virtual servers. We also have slow response times due to high traffic times within the system. All these technical issues interfere with productivity. I feel that a viable solution to resolve such issues would be to have a physical server within each region that the company provides services rather than just one central hub.
The accounting information system (AIS) which utilizes a database application allows for efficiency within tracking and monitoring the financial gains and losses/disbursements within the organization. Thus, being able to recoup lost capital and consistently working towards balancing the financial ledgers. Even though we are a non-profit organizat.
The vast pool of data is a goldmine for all. However, only the information that gives an accurate picture can serve the purpose. As such, learn about the different ways to enhance the success of data scraping like never before. Data extraction is the process of gathering relevant information from different sources. The objective is to standardize it to have structured data. This data can then get used to performing queries or analytics calculations. Businesses today rely on different forms of data to run their enterprises. If the information collected is accessible and accurate, it can transform into valuable intelligence.
Only extracting data is not enough for any enterprise, but having relevant and accurate data is necessary too. As such, here are some of the ways in which the success of web extraction can get improved.
With the addition of a large amount of data in the internet world every day, the importance of web extraction is increasing. Today, several companies offer customized web scraping tools to users. It has helped in faster data gathering from the internet. These then get arranged into understandable information.
As such, web scraping has reduced human efforts, which is time-consuming. Collecting data now does not require manually visiting each website. It has aided companies in making informed decisions. Indeed, the future of web scraping is bright and will become more prominent for different businesses with time.
With the growth of the internet and companies' dependence on data and information, the future of web scraping is full of new adventures and successes. With a data-driven approach, enterprises can improve their services and offer, giving better output and grabbing customers' attention over time.
Employees can perform to the highest standards up to certain limits that should get set at the behest. Overloading them with too much data or unreasonable deadlines can lead to errors. However, an automated extraction system eliminates the potential risk of human errors. It also helps reduce potential biases and provides faster results.
EmployeePages The next generation staff directoryTIMETOACT GROUP
Employees need a user interface with all relevant and exact information. With a Coporate Directory and the visualization of all organizational changes in a chartview, the organizational structur become more clear, transparent and personnel.
The document discusses the importance of understanding and properly managing your organization's data. It notes that data is often stored in many different locations like SharePoint, file shares, cloud services, and personal devices. Without proper taxonomy and classification, data becomes difficult to govern and ensure compliance. The author recommends performing full-text reviews of data across all locations to understand what information is stored and ensure policies are followed. Automated processes can then be implemented to enforce compliance by moving, tagging, or modifying data and access permissions based on policy violations found.
Analyzing data quickly for the most relevant information allows you to make informed decisions at the time they matter most: In the moments before a promising prospect turns into a lost opportunity. But the sheer volume of data involved in making business decisions continues to grow exponentially by the day. In addition, the ability to access pertinent information quickly depends on how the data in your Oracle E-Business Suite (EBS) is structured, and whether it is complete, consistent and correct.
View the original Blog post: http://www.eprentise.com/blog/r12/you-cant-find-it-if-its-not-there/
Website: www.eprentise.com
Twitter: @eprentise
Google+: https://plus.google.com/u/0/+Eprentise/posts
Facebook: https://www.facebook.com/eprentise
Ensure your data is Complete, Consistent, and Correct by using eprentise software to transform your Oracle® E-Business Suite.
BRIDGING DATA SILOS USING BIG DATA INTEGRATIONijmnct
1) The document discusses how big data integration can be used to bridge data silos that exist in many enterprises due to different business applications generating structured, semi-structured, and unstructured data. 2) It explains that traditional data integration techniques are not well-suited for big data due to issues with scale and handling semi-structured and unstructured data. 3) Big data integration techniques like Hadoop, Spark, Kafka and data lakes can be better suited for integrating large heterogeneous data sources in real-time or in batches at scale.
Avail our Data Appending Services to ensure that your Data Management services are up-to-date with the latest information. We help you identify obsolete and missing data with most recent, relevant information to gain an edge over your competitors.
Moreover, our Data Cleansing Services promptly and accurately append the missing information in the database like email addresses, telephone numbers, fax numbers, titles etc and keeps your target lists error-free.
Microsoft SQL Server 2014 mission critical performance tdm white paperDavid J Rosenthal
This document discusses how organizations now require mission-critical capabilities to handle increasing data volumes and complexity. It examines how SQL Server provides enterprise-grade security, availability, performance and support for complex data types to meet these new mission-critical needs. It also compares the total cost of solutions that provide built-in mission-critical functionality versus those requiring additional purchased features.
This document discusses three ways to improve healthcare data quality when implementing an Enterprise Data Warehouse (EDW). It recommends establishing realistic expectations about data quality issues, understanding the operational causes of data problems, and improving data quality upfront through data governance, identifying subject matter experts, and standardizing the data model. Addressing data quality proactively can help ensure a successful, efficient EDW implementation.
Slow Data Kills Business eBook - Improve the Customer ExperienceInterSystems
We live in an era where customer experience trumps product features and functions. How do you exceed customer’s expectations every time they interact with your organization? By leveraging more information and applying insights you have learned over time. Turning data-driven power into delightful experiences will give you the advantages required to succeed in today’s climate of one-click shopping and crowd-sourced feedback. Whether you are a retailer, a banker, a care provider, or a policy maker, your organization must harness the power of growing data volumes, data types, and data sources to foster experiences that matter.
This document discusses the business case for advanced data visualization (ADV). It argues that ADV provides benefits like enabling users to process larger amounts of data more efficiently and detect trends more easily. ADV enhances the computer-human interface by increasing user awareness and focus. It allows enterprises to optimize human capital and performance. The document outlines best practices for implementing ADV, including making solutions agile, interactive, collaborative, and relevant to specific business needs.
Tim Mills-Groninger has over 25 years of experience in business intelligence, data warehousing, and analytics. He has implemented SQL Server Integration Services, Analysis Services, and Reporting Services at AXA-Assistance to consolidate data and create reports and dashboards. Mills-Groninger also has experience consulting for non-profits on software selection, database design and maintenance, and operational support using Microsoft tools.
IT plays a critical role in managing big data and selecting infrastructure to support current and future analytics needs. CIOs can lead IT reactively to needs or proactively implement strategic solutions. This document outlines key elements of a strategic big data analytics architecture, including in-database analytics, in-memory processing, and Hadoop, and criteria for evaluating solutions like analytical speed and flexibility. CIOs who implement strategic solutions that meet business needs can raise IT's profile in the organization.
Presented at SharePointFest Seattle 2019 by Microsoft RD + MVP Christian Buckley (@buckleyplanet) and Sr. Product Manager at Microsoft, Mark Kashman (@mkashman).
There are many solutions that allow for collaboration with customers, partners, and virtual teams that stretch inside and outside of your organization, but which tools work the best in different scenarios?
In this session geared toward end users, we'll discuss how the latest Office 365 tools and solutions can be leveraged for different extranet scenarios, and help you to decide which of them best fit your specific needs. Solutions to be discussed include SharePoint, Teams, Yammer, OneDrive, Stream, and more.
Tim Mills-Groninger has over 20 years of experience in business intelligence, data warehousing, and database management. He has implemented CRM, OLTP, and analytics solutions for various organizations. His technical skills include SQL Server, SSIS, SSAS, and SSRS. He has experience conducting root cause analysis on data irregularities and designing OLAP and complex reporting environments.
How Can a SharePoint Solution Help Your BusinessSunil Jagani
Document on introduction to sharepoint, its features and How Can a SharePoint Solution Help Your Business? you can visit http://www.alliancetek.com/collaboration-tools.html for More Information on SharePoint.
Andrew Skolnick has created several databases and presentations to showcase his work as a business consultant. Some of his accomplishments include an intake database to capture client information, a custom contact database that uses a flexi-grid to import varied data formats, and an insurance database. He is involved in all aspects of business from database design to report generation to broader operational tasks.
The document discusses the current and future use of real-time data in healthcare. It describes how one hospital is already using connected devices to monitor patients' health metrics in real-time. However, most healthcare providers currently make limited and uncoordinated use of real-time data. The biggest challenges are integrating real-time data into processes and designing new processes around it. Hospitals are investing in experts and technologies to better utilize real-time data through clinical decision support systems and predictive analytics. While still early, real-time data has the potential to greatly improve personalized and preemptive healthcare.
This document discusses how software-as-a-service (SaaS) solutions like online workspaces are changing how businesses share information in today's environment. Traditional document sharing methods are slow and insecure, while on-premise software is expensive and complex to implement. SaaS solutions offer rapid deployment, security, compliance support, and low costs. Online workspaces in particular provide a secure way for companies to grant access to internal and external users anywhere. They are proving beneficial for reducing costs and transaction times in processes like financial transactions, safety reporting, and investor communications. As work becomes more decentralized, businesses are recognizing SaaS as a better solution for document management needs.
AssigmentRespond to two or more of your colleagues in one or mo.docxjane3dyson92312
Assigment:
Respond to two or more of your colleagues in one or more of the following ways:
· Offer your colleague one or more lessons you have learned, based on your own experience with the types of data resources and systems presented.
· Expand on your colleague's post by sharing how your organization has used these data resources and systems.
· Offer ideas for how the data resources or systems presented might be used in your organization. Identify any obstacles that your organization might face or has faced when using these data resources and systems.
· Compare your colleague's findings with your own to develop a set of recommendations from which organizations with similar data resource and processing needs might benefit most.
· Expand upon potential issues that could arise and offer one or more additional recommendations about how you would address those.
Please be specific, and use citations and references as appropriate and necessary.
1st Colleague to respond to:
Shared Practice—Data Resources and Processes That Matter to Your Organization
Within my current organization, there are multiple utilizations of data resources, data processing, and or storage systems. Without such services and systems our organization would be non-existent and unable to compete within the industry today. The four most critical data systems are our electronic health record which would be identified as a data processing system, an accounting system that utilizes a database application to track receipts for payments and donations, Paylocity a web-based data system that tracks time and attendance through payroll software, as well as serves both physical and virtual which would be considered a data storage system.
The Electronic Health Record (EHR) is hosted on a virtual server that allows the organization to collaboratively document and track the status of clientele. The virtual server is a secured server that has an encrypted single host to ensure the confidentiality and safety of all information being computed and stored. Thus, allowing everyone at the agency to work from the same portal and have shared access to all organizational records. Enhancing patient coordination and care. Within the utilization of a virtual server when updates are made to the physical server, we are not able to access the virtual servers. We also have slow response times due to high traffic times within the system. All these technical issues interfere with productivity. I feel that a viable solution to resolve such issues would be to have a physical server within each region that the company provides services rather than just one central hub.
The accounting information system (AIS) which utilizes a database application allows for efficiency within tracking and monitoring the financial gains and losses/disbursements within the organization. Thus, being able to recoup lost capital and consistently working towards balancing the financial ledgers. Even though we are a non-profit organizat.
The vast pool of data is a goldmine for all. However, only the information that gives an accurate picture can serve the purpose. As such, learn about the different ways to enhance the success of data scraping like never before. Data extraction is the process of gathering relevant information from different sources. The objective is to standardize it to have structured data. This data can then get used to performing queries or analytics calculations. Businesses today rely on different forms of data to run their enterprises. If the information collected is accessible and accurate, it can transform into valuable intelligence.
Only extracting data is not enough for any enterprise, but having relevant and accurate data is necessary too. As such, here are some of the ways in which the success of web extraction can get improved.
With the addition of a large amount of data in the internet world every day, the importance of web extraction is increasing. Today, several companies offer customized web scraping tools to users. It has helped in faster data gathering from the internet. These then get arranged into understandable information.
As such, web scraping has reduced human efforts, which is time-consuming. Collecting data now does not require manually visiting each website. It has aided companies in making informed decisions. Indeed, the future of web scraping is bright and will become more prominent for different businesses with time.
With the growth of the internet and companies' dependence on data and information, the future of web scraping is full of new adventures and successes. With a data-driven approach, enterprises can improve their services and offer, giving better output and grabbing customers' attention over time.
Employees can perform to the highest standards up to certain limits that should get set at the behest. Overloading them with too much data or unreasonable deadlines can lead to errors. However, an automated extraction system eliminates the potential risk of human errors. It also helps reduce potential biases and provides faster results.
This document discusses the evolution of accounting information systems models over time, from manual processes to more advanced database models. It describes the key characteristics and limitations of the manual process model, flat file model, database model, and REA (resources, events, agents) model. Specifically, it notes that the manual process model involved physical record keeping tasks, while the flat file model stored data across multiple locations, leading to issues with data redundancy, currency, and integration. The database model centralized data storage, eliminating redundancy and improving data management. Finally, the REA model incorporated both accounting and non-accounting data based on economic resources, events, and agents relationships.
Governance and Architecture in Data IntegrationAnalytiX DS
This document discusses starting a data governance program in an agile way using AnalytiXTM Mapping ManagerTM. It describes AnalytiXTM Mapping ManagerTM as an enterprise mapping tool that can manage all metadata related to data integration projects, including documenting mappings, business rules, and providing traceability and auditability of data. Implementing AnalytiXTM Mapping ManagerTM can help satisfy regulatory compliance needs like those in the Sarbanes-Oxley Act by providing a centralized metadata repository and standardizing processes. Starting a data governance program with AnalytiXTM Mapping ManagerTM can help address metadata management gaps and jumpstart governance in a flexible manner.
White Paper-1-AnalytiX Mapping Manager-Governance And Architecture In Data In...AnalytixDataServices
The document discusses starting a data governance program in an agile way using AnalytiXTM Mapping ManagerTM. It describes AnalytiXTM Mapping ManagerTM as a tool that can help address metadata management gaps, document data mappings and rules, and establish data stewardship to enable regulatory compliance. Implementing AnalytiXTM Mapping ManagerTM allows jumping starting a data governance program by providing standardized metadata management, version control, and data lineage tracing across data integration projects.
200 Words-Describe three types of systems used in organizations..docxeugeniadean34240
200 Words-
Describe three types of systems used in organizations. Note the factors that normally lead to adopting the system and requirements that will likely push its future growth of each type.
Discuss an IT system that has transformed the way organizations in at least one field carry out work. Note what requirements drove the system to be developed and what requirements are likely to drive it to change in the future.
Reply with 150 words-
(DO YOU AGREE WITH THE BELOW POST? WHY OR WHY NOT? IF SO WHY? IF NOT WHY NOT?)
Business had changed a great deal in the past fifty years. Businesses used to keep everything on paper and file it in cabinet. Trying to find the information that you needed was a long process that took a lot of man power. Paper files also came with a lot of error and you had to depend on the people writing the data to get accurate information. For large organizations this was a painful and unreliable process and it you couldn't get it right then your business would have a hard time succeeding. There are many systems that can help organize information and place it where it needs to be. One of the information systems that sticks out to me is the ERP system. This system may be costly and may take a lot of training to implement, but if it is done right it can show great results. Take a large manufacturing company for instance. You have a finance and accounting department, an HR department, sales department, and an operations department. Imagine keeping all of that information on paper and relying on hundreds of employees to fill out the paper work correctly. That sounds like a nightmare to me. ERP systems were designed to organize all of the information from each department and accurately make decisions based on that information. ERP systems can be difficult to use and train others on how they work. I believe that ERP systems will become more user friendly and easier to implement into any organization in the future.
Transformational IT technologies transform organizations, as they provide businesses with new opportunities for strategic advantage while challenging previously successful techs. It changes the basic ways that people and departments work and may even change the very nature of the business enterprise. The most important and significant transformational IT system that I can think of that changed the way organizations work was the World Wide Web, or the Web. This multimedia was invented by Sir Tim Berners-Lee, a British computer scientist, in 1989. The Web transformed how business was made worldwide, the interaction between a company and consumer was closer than ever. It allowed organizations to make information instantaneously available throughout the world, targeting more consumers, and all this at a lower cost, saving companies alot of money. Now with the new techs, such as social media and ad revenue, organizations are able to reach people even faster. That is the future, social media, videos, etc..Where compani.
The document provides a business scenario and assignment for students to analyze how a database management system (DBMS) could help the fictional ABC Corporation. It includes prompts for students to discuss key aspects of a DBMS including definition, purpose, benefits, data collection, management and usage. Students are asked to provide a minimum 1000 word analysis from the perspective of a contractor recommending a DBMS for ABC Corporation.
This white paper will discuss prioritizing actuarial innovation, insurance business oriented architecture, evaluating your actuarial environment, enterprise actuarial data architecture, potential solutions, and critical success factors.
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Running head DATABASE AND DATA WAREHOUSING DESIGNDATABASE AND.docxtodd271
Running head: DATABASE AND DATA WAREHOUSING DESIGN
DATABASE AND DATA WAREHOUSING DESIGN 10
Database and Data Warehousing Design
Necosa Hollie
Dr. Ford
Information Systems Capstone CIS499
May 5, 2019
Introduction
Somar and Co. Data Collection Company collects and analyzes data by using operational systems and web analytics. The data used in the analysis is collected from diverse operating systems such as ERP software. Various applications such as payrolls, human resources, and insurance claims are used in, modern-day enterprises and data from them keep on increasing day by day (Schoenherr, & Speier‐Pero, 2015). The ever-increasing data has been overwhelming organizations’ ability to analyze it due to its complex nature. This challenge has forced Somar and Co. Data Collection Company to seek a solution to it to deliver quality results to their clients. As the chief information officer (CIO) at the company, will be in charge of designing the solution that will incorporate data warehousing. This will make it possible to be consolidating large amounts of data quickly and be creating quality analytical reports within the shortest time possible.
Need for Data Warehousing
Data warehouses are central storage systems in companies where vital information from other applications such as ERP system is deposited. The data is periodically extracted from these applications. Data is sent to the data warehouse in different formats as different applications have distinct ways of keeping information. Then the data warehouse by having a uniform operational system will process and analyze discrete data into a more straightforward form. Somar and Co. Data Collection Company manages data from various clients with the information having been collected from multiple departments such as marketing, sales, and finance. To develop an active data warehouse, data consistency from different applications plays a crucial part (Waller, & Fawcett, 2013). This enables establishing of a constant process for all types of data. The information is analyzed for analytical reports, market research and decision report. The processed data also gives insight about the direction of the company to the management. The data is considered by the management during decision making and strategic planning.
Due to the importance of the data reposted in the data warehouse to the management, it should be analyzed in such a way that it is easy to comprehend and interpret (Schoenherr, & Speier‐Pero, 2015). As the processed data originates from different departments of the organization, this makes it be a reliable source of information to the management. If every department were to analyze its data, this would result in different information in different formats hence tricky for the administration to interpret it accurately. The data warehouse helps to resolve this problem by offering a centralized syste.
This document discusses the evolution of data systems and business intelligence, from traditional systems relying on manual Excel reporting to future systems driven by real-time data and automation. It describes the limitations of traditional systems and outlines several stages in the evolution, including centralized data consolidation, "big data" technologies, automated business processes, and a future with real-time decision making. The goal is for organizations to become truly data-driven by codifying processes and decisions.
This document discusses designing databases for both production and end-user access. It argues that end-user access should be treated as its own application, with databases designed to support both production and user needs. The document outlines strategies for database design that minimize tables, include complete information in rows, and make the data intuitive for users. These strategies are aimed at making it easier for users to access and understand the data without requiring complex queries. The document uses an example database for a fraternal organization to illustrate challenges with production database designs for end-user access.
Of the millions of Microsoft users, few are unfamiliar with Excel. As a product, it is intuitive, mature and part of the Office package which might be Microsoft’s most successful package on the market. Gathering data with Excel is not only easy, it allows the user to foresee possible changes and problems in data trends, move to avoid business risks, and take action.
The document provides an overview of database management systems, including their history and importance in organizations. It discusses the evolution of databases from file management systems to hierarchical and network databases to modern relational database systems. The key advantages of relational database management systems are consistent data access, flexibility, standardized products, use of the SQL query language, and easier management of data security.
This document provides information about an HR software system called SRRK IT LTD. The software aims to help companies efficiently manage employee data and HR processes. It includes features such as employee record keeping, benefits management, training tracking, recruitment tools, and document management. The software claims to provide benefits like reduced administrative costs, improved access to information, opportunities for data analysis, enhanced communication, and risk mitigation. The company, SRRK IT LTD, positions itself as socially responsible and committed to environmental protection, employee well-being, and upholding values like integrity and responsibility.
[Database assignment is1060]UOL Student Number 090404702.docxdanielfoster65629
[Database assignment is1060]
UOL Student Number: 090404702
Introduction
Mable Skin Clinic has 5 different branches within the City of Singapore. It offers medical treatment and consultation to the public on various skin illnesses. Its popularity has grown its customer base in Singapore. Mable’s 5 branches that are located in various parts of Singapore handle tour enquiries and bookings from customers.
Each branch is assigned with two skin specialist doctors. Besides treating normal skin diseases these specialists hold different field of expertise. Customers usually make bookings on the specialists that they deem appropriate to their skin illness.
Adding value to a company’s customer service by providing the necessary information and instruction prior to a product or service purchase is essential. The purpose of my report is to showcase how a database management system is able to help a Mable Skin Clinic use the data captured from its patients to better serve them and also help the clinics to better manage and plan the medical appointment schedules better.
Problem & Concern
There are some voices of concerned within the Mable’s management that there is an increase in internal operational problems and complaints from patients. The problems concerned are listed below;
· Increase in the number of patients that cancelled their medical appointment that they have previously made online at the very last minute. This has certainly caused a disruption and wastage of resources as the doctors and specialists were unproductive during that appointment slot where the booking has been cancelled.
· Customer complaints that the instruction and information prior to the medical appointment are inaccurate.
· Employees do not have any reports to refer to.
· Management have problems tracking the customer’s data.
Mable skin clinic operates in 5 different locations in the city. They are as follows;
1. Woodlands Branch
2. Bishan Branch
3. Jurong Branch
4. Orchard Branch
5. Tampines Branch
Data Analysis
Naming Data Items
Full Name
Assigned Name
Appointment No
Appt No
Clinic No
ClinicNo
Appointment Date
ApptDate
Appointment Time
ApptTime
Consultation Fee Only
ConsultationFee
Specialist No
SpecialistNo
Specialist Name
SpecialistName
Expertise
Expertise
Specialist Telephone No
SpecialistTelNo
Clinic Name
ClinicName
Room No
RoomNo
Booking No
BKNo
Booking Date
BKDate
Booking Time
BKTime
Booking Instructions
BKInst
Customer No
CustNo
Customer Name
CustName
Customer Address
CustAddr
Customer Telephone No
CustTelNo
Entity Types & Named Data Items
APPOINMENT (ApptNo, ApptDate,ApptTime,ConsultationsFee, [ClinicNo])
Note: Different appointments may be held at the same clinic. [] represents a repeating group
BOOKING (BKNo, CustNo,ApptNo, BKDate,BKTime,BKInst,)
CLINIC (ClinicNo,RoomNo,ClinicName)
Note: Each clinics holds two unique room no.
CUSTOMER (CustNo, CustName, CustAddr, CustTelNo)
SPECIALIST (SpecsNo,ClinicNo, Expertise,SpecsName,SpecsTelNo)
Notes: Each specialist wi.
Rethinking payroll performance: In-House vs OutsourcingBARRY ROSS
Our cloud based payroll solution combines a powerful payroll & web-based HR application along with the convenience of services typically offered by payroll outsourcing providers. Companies currently using payroll software for small business will benefit from the lower maintenance costs & improved security that our payroll solution has to offer.
Proposal for hrm software and dynamic websiteMohammad Sayem
The document provides information about an HR software system called SRRK IT LTD. It discusses the features and benefits of the software, including employee data management, job opening management, applicant tracking, training records, benefits information, documentation management, and an employee termination process. The software aims to improve efficiency, reduce costs, provide easy access to information, enable data analysis, improve communication and security, and mitigate risks for human resource departments.
A Deep Dive into NetSuite Data Migration.pdfPratik686562
NetSuite data migration is the process of moving data from one system to another, usually from an older system to the most recent version of NetSuite. Throughout the migration process, it makes sure the data is accurate and reliable.
System Analysis 1
System Analysis 6
Current System of the Healthcare Organization
The current information system utilized by ABC Healthcare center is one that can be described as a mixture of pen and paper information system, with a lot of records kept in manual files. Each branch uses a different information system, with different applications. For an organization with over 350 physicians and 100 workers, the amount of information stored, processed, and accessed is immense. The system serves close to over five thousand five hundred patients in a month across the country. With a constant rise in the business as a result of increase in patient turnout, the company is finding it hard to maintain, access, store, and retrieve information in a speedy way using the manual pen and paper information system. The organization’s current information system is slowly becoming obsolete, as the amount of data to be processed and accessed increase tremendously. For instance, information that is supposed to be processed include: patient profiles, appointment records, inventories, human resource, employment data, as well as financial and supply chain information.
Problems with the Current Information system
The current information system, being pen and paper, has various problems. First, there are numerous cases of redundancies and repetitiveness in the information stored. This is because branches are not interconnected. Therefore, patients’ records stored in one branch cannot be retrieved in another, making the physicians to start a new test once again. Secondly, the systems that are present cannot be used to execute more than one task. In addition, the information system is prone to security problems like unauthorized access (Shelly & Rosenblatt, 2009). This is because some data are kept in computer systems that are not properly secured, while other classified data are stored in manual files in cabinets. Furthermore, the system is inefficient in the sense that it is very slow, costly to operate, and energy consuming for employees operating them. The process of verifying and ensuring data reliability is burdensome and next to impossible. Finally, accuracy is a challenge, since pen and paper entries are prone to human errors, especially when they feel tired following a long-day work (Shelly & Rosenblatt, 2009).
Expected Changes and impacts of implementing the new system
After implementing the new information system, the healthcare organization is going to witness various transformations and benefits. First, the company’s operational efficiency will be improved, since all business processes, such as transactions, recording, retrieval and storage of patients’ employees’ and stakeholders’ data (AO'Brien, Marakas, Hills & Lalit, 2006). Additionally, ...
This document discusses the limitations of relying solely on data systems of record for customer engagement and service delivery. Systems of record only contain historical transaction data and do not consider real-time data, incomplete data, or data from other sources which are important for customer service. Additionally, systems of record are not well-suited for managing back-office staff. The document argues that companies need an omnichannel engagement strategy that leverages both systems of record and systems of engagement.
1. Page | 1
Sajid Saleem
Kelly Rasmussen
Prof. Eom
BUS 591
December 6, 2015
Pair Project: ABC Healthcare Solutions
Contents
Company Background ............................................................................................................................2
Company Information Concerns.............................................................................................................2
Company Information Needs..................................................................................................................3
Table 1: ABC Business Needs ..........................................................................................................3
Company Business Rules and Processes ................................................................................................4
Relational Database Design ....................................................................................................................4
Entity-Relationship Diagram ..................................................................................................................5
Microsoft Access Database Structure .....................................................................................................6
Proposed Database System .....................................................................................................................6
Query #1: Approve ...........................................................................................................................8
Query #2: Interview..........................................................................................................................9
Query #3: Offer.................................................................................................................................9
Conclusion ..............................................................................................................................................9
Table 2: ABC Recommended Business Solutions ........................................................................10
Appendix...............................................................................................................................................11
Note: The real name of the company has been replaced with ABC Healthcare Solutions to protect its
identity. All names have been replaced with fictional names. The report refers to our database
implementation proposal created using Microsoft Access.
2. Page | 2
Company Background
ABC Healthcare Solutions, a for-profit national staffing agency that supplies nurses
and other allied health professionals for hospitals in need, was examined because of the gap
between the business needs and current status quo. Also, the opportunity was provided to us
for direct observation using company-generated materials, reports, and data. For purposes of
this project, only the most relevant departments, or “branches,” were selected to reflect the
implementation of a relational database. By identifying key issues and possible solutions
within one department, Travel Sales, it would best answer the current business problems and
improve the process of reputing and organizing data. If the database proves beneficial for the
Travel Sales branch, we hope to continue the use of this software throughout other branches
within the company.
Company Information Concerns
ABC was chosen as the company of interest because of the several issues revolving
around the storage and production of data and information. ABC relies on a non-centralized
database system that uses Microsoft Excel files, an online software system, and paper
records. The current database system used is the online software system where travelers,
recruiters, and contract managers can all access and change at their will. While this may be
helpful to have all eyes on the same database system, issues arise when two disparate parties
are updating the same information at once, or when one entity creates an application, such as
the traveler and the recruiter may or may not see this application and create a new one. Also,
since all of the entities have access to this online software system, there is no effective way to
backup data in case of a power outage or server malfunction. ABC also relies heavily on
paper records. This file storing system leads to several issues such as inaccurate data,
redundant data, and inefficient resource utilization. Eventually, between the Microsoft Excel
files, online software system, and database records, data is not jointly updated, thus making it
hard to trust in the end. Without the ability to trust the data, there is no effective way to
create, update, and delete current records. As it will be evident from the later part of this
section, the issues of inaccuracy, redundancy and inefficient resource utilization are clearly
interlinked.
The company allows the user to download the Excel data files and update them
individually. Furthermore, the employees do not adhere to a standard procedure. For
example, recruiters are responsible to updating files on the travelers they recruit. But
occasionally, contract managers recruit a new traveler bypassing the recruiter. The current
system is incapable of enforcing the standard business policies of ABC. Such decentralized
way of updating the system also gives rise to the concerning issue of lack of accuracy of data
in the system, and plausibly provide mechanisms for employees to practice favoritism.
3. Page | 3
Furthermore, the current file system, does not have any means to identify the entities
in a unique way. It is plausible to have several records in several entities with the same name.
Finding the relevant record to make updates can require time and cost company resources,
which could have been spent on other productive activities. Observing the current business
practice reveals that the user of the data file frequently creates a new record every time he or
she has difficulty in finding the original record. This multitude of different copies of the same
file causes excess storage space need, redundant data, and most importantly inaccuracies in
the data storage system.
Within the travel sales department, when the current business processes do not match
the business rules, it can negatively affect all entities. For example, if all the disparate
database systems do not reflect the most updated information, a traveler may be sent to the
wrong facility or start on the wrong shift. This avoidable error affects the commissions of
both the recruiter and the contract manager. If the facility sees these errors repeatedly, they
may or may not choose to hire travelers from ABC Healthcare Solutions because of the
continuous miscommunications. The unreliable nature of such a database makes it difficult to
drive business decisions.
Company Information Needs
ABC Healthcare Solutions needs a database system that would easily update
employee demographic information, track productivity of employees and managers,
distinguish employees and hired staff with unique identifiers, simplify data that is shared
between internal employees and external contracted facilities, and standardize the process in-
line with business policies. The company wants to be able to efficiently produce accurate
reports like it currently does (See Appendix), eliminate the issues found in the prior section,
and enable a better utilization of its resources.
Table 1: ABC Business Needs
Problem Category Information Needs
Accuracy Reliable data source
Redundancy Efficient use of employee time and company resources
Resource utilization Database reflecting company policy
Lack of standardization Overcome the current issues which hinder growth
We are confident that with the help of an efficient and easy to understand centralized
relational database, we would be able to overcome company’s issues and meet its information
needs. A centralized database system will synchronize all changes, resulting in more accurate
data. In addition, instilling one standardized database that provides access to all entities
eliminates the possibility of data redundancy with the use of unique primary key values. Also,
this centralized database will mitigate any unnecessary time and energy spent sorting through
various Excel files or paper records, reassuring that all possible resources are utilized. A
database with the embedded business process rules will ensure that communication between
4. Page | 4
employees is optimized. With the implementation of queries (using SQL), the database will
mitigate the need to laboriously create similar reports each day, thus overcoming any data
redundancy and data accuracy issues for queries to generate relevant information for reports.
In addition, an efficiently managed relational database system will provide the
company with valuable information, such as which employees are the most productive, what
states typically offer the highest pay rates, and the number of offers accepted at each facility,
etc. Such pertinent information can give the company the competitive advantage they need.
Company Business Rules and Processes
Within ABC Healthcare Solutions, there are four main entities in which information is
interdependently exchanged, as seen in the Entity-Relationship Diagram below. The first
entity is the traveler. The traveler can either voluntarily submit an application via the ABC
Healthcare Solutions webpage (in which case the value for app sent field will be null), or a
recruiter, the second entity, sends out applications to the traveler. A traveler will have one
application with information such as traveler type (example: nurse or medical assistant) and
application complete. The third entity, the facility, posts job opening for these prospective
travelers with details including the role, average pay, shift time, and other requirements. A
facility may have several job postings active at the same time. The recruiter tries to match
their traveler’s with these job postings and sends a review to the contract manager, the fourth
entity. The contract manager approves or disapproves the review sent by the recruiter. If the
contract manager believes that the traveler is a good fit for the job posting, he or she will
forward the review to the facility. If the facility accepts this review, the traveler will be asked
to complete a virtual interview. Based on the success of the interview, the traveler may or
may not be offered the position. If the traveler does not receive an offer, the recruiter
continues to search for other jobs that fit his or her criteria. If the traveler accepts the offer, it
becomes a contract. The contract includes all the finalized details about the job. The
approval, interview, offer and contract are frequently used for productivity report (See
Appendix).
Relational Database Design
As discussed earlier, the proposed database will reflect the current company needs of
the Travel Sales department. This database contains 8 different entities. Each entity contains
a primary key, relevant information, and a foreign key if necessary. The entities are listed
below:
1. Traveler
2. Application
3. Review
4. Contract
5. Facility
6. Job Postings
7. Recruiter
5. Page | 5
8. Contract Manager
Entity-Relationship Diagram
The ER diagram lists out the relationships, the modality, and the cardinality created
between these separate entities as they are aligned with the current business needs. The ER
model designed is in the 3rd
normal form. There is no data redundancy except in the foreign
key attributes.
Figure 1: Entity-Relationship Diagram
6. Page | 6
Microsoft Access Database Structure
Figure 2: Microsoft Access Database Structure
Proposed Database System
As the issues of inaccuracy, redundancy, and inefficient resource utilization are clearly
interlinked, all the attempts to eliminate any one issue will also contribute towards
eliminating other issues. For example, removing data redundancy makes the database more
accurate and reduces the storage space needed, making efficient use of the available
resources.
The proposed centralized database structure uses unique identifiers and drop down
menus in the forms to reassure the individual entering the data is using the correct primary
key. Data entry is done using forms, instead of tables, which prevent the users creating
mistakes when entering data directly into the tables in Microsoft Access database. This
methodology prevents users from messing up the proposed database structure. The screenshot
below is an example of one of the forms proposed in the new database structure (See Figure
frm_Review). In the frm_Review, the submittal number is listed as the primary key. In the
previous database, when an employee could not track the name of the traveler or duplicate
copies of the same traveler (as traveler’s names are not unique), the recruiter would create a
new record. This original style of thinking creates data redundancy issues, leading to
inaccurate data. However, in our proposed database structure, any search would be conducted
7. Page | 7
using the primary key as the keyword. Each primary key is unique, eliminating any
possibility of duplicate records and resulting in non-redundant and accurate data. The
ContractManager_ID, Recruiter_ID, and Traveler_ID in the frm_Review are the foreign
keys. The employee entering the data will use the drop-down menu to select each foreign key
derived from the primary keys from their respective table. The drop-down menu feature
ensures that only the values existing in those primary key attributes of the related tables exist
already in the database preventing any errors during data entry. When the foreign key record
is selecting, the corresponding name will appear in the adjacent box reassuring that the
correct foreign key was selected. The fields that list the dates of approval, interview, and
offer appear only when the corresponding checkboxes are selected. This improvement
mitigates any unnecessary clouding of the form. The search box created at the top of the
frm_Review makes it easy for employees to search for the review form based on the
submittal number, a unique identifier, selected. This update helps to easily navigate between
different submittals to make changes, improving the efficiency of the user.
Figure 3: Review Form
In the proposed database structure, any derivable attributes will not be saved to
prevent any data redundancy and improve resource utilization of servers storing the data. The
report below elaborates this point further (see Figure Efficiency Report of Contract
Manager). This report displays the count of each tallied attribute: approval, interview, and
offer. This report can easily be derived by counting the records of the review table which
include approved, interviewed, and offered corresponding to the contract manager. The report
also features a filter option which allows the user to filter data by date in which the review
Foreign key
Primary key
8. Page | 8
was approved. The current business practice requires that this report is produced frequently
(Sample in appendix), thus the queries combined with the filter feature of Microsoft Access,
making the whole process very efficient and saving valuable time for the employee.
Figure 4: Efficiency Report
The queries used to generate the Efficiency Report are listed below, following SQL
formatting.
Query #1: Approve
SELECT Count(Review.Approved) AS CountOfApproved,
ContractManager.Employee_Name AS ContractManagerName, Review.Approved_Date
FROM ContractManager INNER JOIN Review ON ContractManager.ContractManager_ID
= Review.ContractManager_ID
WHERE (((Review.approved)=True))
GROUP BY ContractManager.Employee_Name, Review.Approved_Date;
9. Page | 9
Query #2: Interview
SELECT Count(Review.interview) AS CountOfInterview,
ContractManager.Employee_Name AS ContractManagerName, Review.Interview_Date
FROM ContractManager INNER JOIN Review ON ContractManager.ContractManager_ID
= Review.ContractManager_ID
WHERE (((Review.interview)=True))
GROUP BY ContractManager.Employee_Name, Review.Interview_Date;
Query #3: Offer
SELECT Count(Review.Offer) AS CountOfOffer, ContractManager.Employee_Name AS
ContractManagerName, Review.Offer_Date
FROM ContractManager INNER JOIN Review ON ContractManager.ContractManager_ID
= Review.ContractManager_ID
WHERE (((Review.Offer)=True))
GROUP BY ContractManager.Employee_Name, Review.Offer_Date;
The proposed database reflects the current business practices and rules by using forms
to ensure relevant information is recorded during the data entry process. More business rules
can easily be embedded into the forms to enforce standardized daily business practices. For
example, if the business rule requires that a recruiter needs to communicate with a traveler
before a contract manager approves him or her for the suggested job posting, both recruiter
and contract manager must be involved before the traveler can move forward in the approval
process (to avoid any unwarranted traveler favoritism). The database can embed additional
VBA code to make sure that the contract manager’s foreign key value is visible only after a
recruiter’s foreign key value is entered. Furthermore, only after the contract manager and
recruiter foreign key values are added, then the approval, interview, and offer checkboxes are
enabled.
Conclusion
The proposed database system will remove all data redundancy concerns. The updated
database will significantly reduce unnecessary storage space on the server by consolidating
various Excel spreadsheets and other files. Furthermore, it will help improve the accuracy of
the data, keeping all information relevant to the business practice. The ease of usage for
forms, queries, and reports will help employees stay informed and better utilize their time.
Keeping the database current will strengthen communication between all the participants,
giving ABC the competitive advantage of having data and information accessible in real time.
These advancements will exponentially improve the resource utilization of the entire business
unit and related departments.
10. Page | 10
Table 2: ABC Recommended Business Solutions
Issues Solution
Accuracy By implementing centralized relational database which has
only a single copy of data.
Updates regarding any attribute of an entity is made in only
one place keep data accurate and relevant.
Redundancy The only place redundancy is allowed is in the foreign keys.
Only one copy of data is maintained.
Resource utilization Since data is in non-redundant form, storage space required
will be significantly less.
Efficient use of
employee time
Data will be readily available to access and thus, save
employees time needed to search using primary keys.
SQL queries will make the task of create daily tailored reports
easy and efficient.
Lack of standardization Rules will be embedded in the database which reflect business
policies. This will ensure that the business data storage and
information needs reflect its policy. This will standardize the
business process.
Reliable data source Since data will be up-to-date and relevant, information created
by the user will be reliable creating an environment where the
users trust the database. This can help drive business decisions.
Overcome the current
issues which hinder
growth
Issues discussed in the sections above will be resolved using
the relational database implemented without redundancy and
accuracy issues, saving time and resources. This will help the
company grow by allowing optimal utilization of resources,
and by creating an environment where new insights can
uncovered.
11. Page | 11
Appendix
Figure 5: Original Contract Activity Report
Figure 6: Original Distinct Submittal Report
12. Page | 12
Figure 7: Original Derived Approval, Interview, Offer Report
Figure 8: Original Web-based Reporting Method
13. Page | 13
Table 3: Data Dictionary
Address The current address of the facility
App_Sent A yes/no variable showing whether the traveler has completed an
application
Application_# The unique application identifier number
Approved A yes/no value if the contract manager forwards the review to the
facility
Bill_Hourly The amount that ABC bills the hospital per hour of work for the
traveler
Bill_Rate The rate in which the facility is willing to pay for that traveler
City The current city of the facility
Complete_Profile Explains if the traveler has completed their profile which includes all
necessary vaccinations, licenses, classes, and certifications.
Contract_# The unique contract identifier number
ContractManager_I
D
The unique contract manager identifier number
Duration The length of the contract (in weeks)
Duration The recommended length of the job
Employee_Name The contract manager’s first and last name
Facility_# The unique facility identifier number
Facility_Name The name of the facility
Housing A yes/no variable showing whether or not ABC is responsible for
finding housing for the traveler
Interview A yes/no value indicating if the traveler completed an interview for
the facility
Offer A yes/no value indicating if the traveler completed an offer for the
facility
Posting_# The job posting created by the facility
Profession The current occupation of the traveler
14. Page | 14
Rank Junior or Senior, the rank of each recruiter
Recruiter_ID The unique recruiter identifier number
Referral_Type The source in which the referral came from (ex: past employee,
monster, craigslist)
Region Area within the United States in which the Contract Manager is
responsible for
Role The occupation for the recommended traveler
Shift_Type Day, Middle, or Night Shift
Specialty The current specialty of the traveler (ex: critical care, post-partum,
NICU)
Spread_Margin The percentage of commission necessary to prove whether or not a
contract will be profitable for the company
Start_Date The start date of a contract
Start_Date The day in which the job starts
State The current state of the facility
Submittal/Market Explains if the traveler was matched to an existing job posting
(submittal) or if the contract manager suggested a traveler to a
facility without an existing job posting (market)
Submittal_# The unique submittal number that occurs when the recruiter has sent
a completed application to a contract manager
Traveler_ID The unique traveler identifier number
Traveler_Name The first and last name of the traveler
Traveler_Type Explains the traveler’s current occupation
Type Explains the way a traveler was hired. The type is either a new hire,
a new deal, or an extension
VMS Vendor Management System, the web-based portal that displays the
job postings for the facility’s that they are contracted with
Year_of_Hire The year in which the employee was hired
Zip The current zip code of the facility