This Case Study Presentation provides the analysis report performed based on the provided inputs for the PwC Capstone Project, on marketing a Home Security System.
This document provides an overview of the banking system in Nepal. It begins by explaining the purpose of banks and then outlines the different types of banks in Nepal, including central banks, commercial banks, development banks, finance companies, and microcredit development banks. A total of 30 commercial banks, 82 development banks, 48 finance companies, and 37 microcredit development banks currently operate in Nepal. The document also includes organizational charts of the banking hierarchy and describes some of the key roles and services provided by banks, such as accepting deposits, lending money, remittances, safe deposit services, and capital market activities.
The document describes a mini project report for an Online Examination System submitted by Vikram Singh Slathia and Rajesh Sahu under the supervision of Mehul Mahrishi. It includes a candidate declaration signed by the students, a certificate signed by the supervisor, and acknowledgements. The abstract provides a brief overview of the Online Examination System as a web-based application for technical evaluation that replaces paperwork and reduces faculty workload.
- The document proposes a machine learning project using the Chicago Crime dataset to build a web application providing insights into crime patterns.
- It will include geospatial analysis and visualizations of crime hotspots and trends over time using ArcGIS maps, as well as statistical analysis and prediction of future crimes.
- The project involves preprocessing the large dataset, performing feature engineering, dividing Chicago into crime clusters, and building prediction models for each cluster to be deployed via REST API and integrated into the web application. Tools include Python, Docker, Azure ML, ArcGIS, and Java for the frontend.
Product and Operation Management Presentation on Standard chartered bankMATIUR R. SHEIKH
Standard Chartered Bank was formed in 1869 through a merger. It is headquartered in Singapore and began operations in Bangladesh in 1948. It is now the largest international bank in Bangladesh with 29 branches, over 60 ATMs, and over 2,000 employees. The bank provides both consumer and wholesale banking services including personal, corporate, institutional, and treasury services. It aims to offer outstanding customer service and match customers with suitable products through understanding their needs. The bank's core competencies include upgrading technology like phone banking and maintaining specialized skills in areas like corporate banking and credit cards.
The document provides an overview of NACHA, the organization that governs the ACH network for electronic payments in the US. It discusses how NACHA was formed in the 1970s by California bankers to develop standards for electronic payments. NACHA establishes the Operating Rules that define roles and responsibilities for financial institutions and other participants in the ACH network. It also discusses the growth of ACH payments over time and how third party service providers can help organizations comply with the complex NACHA Operating Rules.
Credit card fraud detection using random forest & cart algorithmVenkat Projects
This document describes a project that uses random forest and CART algorithms to detect credit card fraud from transaction data. It trains a random forest model on a credit card transaction dataset containing labeled fraudulent and normal transactions. It then uses the trained model to predict whether unlabeled test transactions contain fraudulent signatures. Screenshots show uploading the datasets, training the model, achieving 99.78% accuracy, uploading test data, and obtaining predictions on the test data with a graph of results.
Banks can leverage machine learning models to increase value through stronger customer acquisition, higher customer lifetime value, and lower operating costs. AI-powered decision making allows for personalized experiences, continuous customer engagement, automated document processing, and early risk detection. Advanced analytical models can be organized around significant elements like the customer lifecycle to benefit banks.
This slides helps you to understand the basics of online loan system & its verification. its requirement,s & the procedure it follows with different types of diagrams etc. (This slide is only for idea & its not 100% Accurate.)
For more this report helps you in detailed view of this project.
http://www.slideshare.net/SobanAhmad2/online-loan-application-its-verification-system
This document provides an overview of the banking system in Nepal. It begins by explaining the purpose of banks and then outlines the different types of banks in Nepal, including central banks, commercial banks, development banks, finance companies, and microcredit development banks. A total of 30 commercial banks, 82 development banks, 48 finance companies, and 37 microcredit development banks currently operate in Nepal. The document also includes organizational charts of the banking hierarchy and describes some of the key roles and services provided by banks, such as accepting deposits, lending money, remittances, safe deposit services, and capital market activities.
The document describes a mini project report for an Online Examination System submitted by Vikram Singh Slathia and Rajesh Sahu under the supervision of Mehul Mahrishi. It includes a candidate declaration signed by the students, a certificate signed by the supervisor, and acknowledgements. The abstract provides a brief overview of the Online Examination System as a web-based application for technical evaluation that replaces paperwork and reduces faculty workload.
- The document proposes a machine learning project using the Chicago Crime dataset to build a web application providing insights into crime patterns.
- It will include geospatial analysis and visualizations of crime hotspots and trends over time using ArcGIS maps, as well as statistical analysis and prediction of future crimes.
- The project involves preprocessing the large dataset, performing feature engineering, dividing Chicago into crime clusters, and building prediction models for each cluster to be deployed via REST API and integrated into the web application. Tools include Python, Docker, Azure ML, ArcGIS, and Java for the frontend.
Product and Operation Management Presentation on Standard chartered bankMATIUR R. SHEIKH
Standard Chartered Bank was formed in 1869 through a merger. It is headquartered in Singapore and began operations in Bangladesh in 1948. It is now the largest international bank in Bangladesh with 29 branches, over 60 ATMs, and over 2,000 employees. The bank provides both consumer and wholesale banking services including personal, corporate, institutional, and treasury services. It aims to offer outstanding customer service and match customers with suitable products through understanding their needs. The bank's core competencies include upgrading technology like phone banking and maintaining specialized skills in areas like corporate banking and credit cards.
The document provides an overview of NACHA, the organization that governs the ACH network for electronic payments in the US. It discusses how NACHA was formed in the 1970s by California bankers to develop standards for electronic payments. NACHA establishes the Operating Rules that define roles and responsibilities for financial institutions and other participants in the ACH network. It also discusses the growth of ACH payments over time and how third party service providers can help organizations comply with the complex NACHA Operating Rules.
Credit card fraud detection using random forest & cart algorithmVenkat Projects
This document describes a project that uses random forest and CART algorithms to detect credit card fraud from transaction data. It trains a random forest model on a credit card transaction dataset containing labeled fraudulent and normal transactions. It then uses the trained model to predict whether unlabeled test transactions contain fraudulent signatures. Screenshots show uploading the datasets, training the model, achieving 99.78% accuracy, uploading test data, and obtaining predictions on the test data with a graph of results.
Banks can leverage machine learning models to increase value through stronger customer acquisition, higher customer lifetime value, and lower operating costs. AI-powered decision making allows for personalized experiences, continuous customer engagement, automated document processing, and early risk detection. Advanced analytical models can be organized around significant elements like the customer lifecycle to benefit banks.
This slides helps you to understand the basics of online loan system & its verification. its requirement,s & the procedure it follows with different types of diagrams etc. (This slide is only for idea & its not 100% Accurate.)
For more this report helps you in detailed view of this project.
http://www.slideshare.net/SobanAhmad2/online-loan-application-its-verification-system
1) The document discusses designing a computerized automated student admission system to make the admission process faster and easier compared to the current manual paper-based system.
2) The proposed system would manage student personal details, academic details, fees, generate reports, and store information in a database for easy access and processing.
3) It would automate the current manual admission process, eliminate paper-based work, and efficiently manage student data to speed up the admission process.
The document discusses key performance indicators (KPIs) for a credit risk analyst position. It provides examples of KPIs, steps for creating KPIs, common mistakes to avoid, and how to design effective KPIs. The document recommends visiting an external website for additional KPI samples and materials related to performance appraisal forms, methods, and review phrases.
Predicting Credit Card Defaults using Machine Learning AlgorithmsSagar Tupkar
This is a project that I worked on as a Capstone for my Masters in Business Analytics program at the University of Cincinnati. In this project, I have performed an end-to-end data mining exercise including data cleaning, distribution analysis, exploratory data analysis, model building etc. to identify and predict Credit Card defaults using Customer's data on past payments and general profile. In the process for building Machine Learning models, I have fit and compared the performance of multiple models and algorithms like Logistic Regreesion, PCA, Classification tree, AdaBoost Classifier, ANN and LDA.
Guard Against Fraud and Financial Crime with NICE Actimize & AWS PPTAmazon Web Services
Learn why financial institutions, investors, and consumers worldwide rely on NICE Actimize solutions on AWS to protect their assets. Actimize technology quickly identifies anomalous behavior enabling real-time, cross-channel fraud, anti-money laundering, bribery, corruption, and trading surveillance detection while exceeding your regulatory compliance requirements on AWS.
This is my college final field work report about online cab booking system. In this online cab booking how it works and some suggestions , analysis about cab booking . All information is in the report. ..
Thank you..
SBI is looking to launch a new digital banking platform called "X-by SBI" to attract younger customers. The presentation discusses conducting research on youth banking habits which found that youth prefer private banks for their better technology and customer service. It also found SBI is perceived as outdated. The presentation recommends "X-by SBI" focus on providing a seamless "carefree consumerism" experience for youth by aggregating services, integrating payments across accounts, and offering deals/discounts. It suggests the brand have a creative, attitude-driven identity to stand out from competitors and gain social media traction among youth.
1. Bank branch expansion into rural unbanked areas of India significantly reduced rural poverty by increasing deposit mobilization and credit disbursement.
2. Preliminary analysis suggests mobile money like M-Pesa has a higher transaction velocity than other monetary instruments typically held by households, especially cash.
3. In Kenya, the outstanding e-float balance held in M-Pesa accounts was over 757 million shillings in August 2008, while the average currency in circulation was only 85.2 billion shillings over the same period.
The document is a project report for developing a college website. It includes sections on requirements analysis, system design, and testing. The proposed system involves creating a dynamic website with database connectivity to replace the existing static site. This would allow recruiters to post job listings and students to apply to opportunities. The project was developed using a three-tier architecture and tested at the unit, integration, and system levels to ensure proper functionality.
The document provides documentation for an online examination system. It discusses the need for the system to automate the exam process for educational institutions and reduce paperwork. It outlines the functional requirements including features for administrators to create exams and monitor results and features for students to register and take exams. Diagrams are provided that illustrate the entity relationship model and data flow between system components at different levels of abstraction.
The document discusses SBI home loans. It provides an introduction to SBI as a bank and describes the various types of home loans offered, including home purchase loans, home improvement loans, and loans for NRIs. Key features of SBI home loans are discussed such as eligibility, repayment periods up to 30 years, and floating interest rates starting from 10%. The document outlines the application process and required documents. Various SBI home loan schemes targeting different customer groups like Yuva loans for young customers and loans for women are also mentioned. Finally, it discusses SBI's partnership with Bankbazaar.com to market its home loans online.
Machine Learning (ML) for Fraud Detection.
- fraud is a big problem (big data, big cost)
- ML on bigger data produces better results
- Industry standard today (for detecting fraud)
- How to improve fraud detection!
Criminal Record Management System in the Perspective of Somalia fowzi mohamed
The project Criminal Record Management System in the perspective of Somalia is a Criminal record management system that uses to record crime activities of criminals. It can be used to report crime activities. This project is mainly useful for law and enforcement agencies in Somalia. The law and enforcement authority can preserve records of the criminals and search any criminal using the system. This is an online web application with database system in which police will keep the record of criminals who have been arrested. We have used HTML, JavaScript, CSS, PHP, MySql and Bootstrap to develop this project. We also used binary search algorithm to find a
This document outlines the modules and functionality of a library management system. It describes 4 main modules: books entry, user entry, issue of books, and return of books. It also discusses cataloging books in the database and tracking book loans and returns. The user entry module section focuses on collecting user details like name, ID, and priority to check books in and out.
Online Examination System For Android AAD Report Akshay KalapgarAkshayKalapgar
Online Examination System is used for conducting online objective test. The test will be customized such that system will have automated checking of answers based on the user interaction. This project helps the faculties to create their own test based on the subject. This also helps the instruction to perform online quiz, test paper such that the academic performance of the students can be increased and can take the feedback from both students and parents.
This Android application (stand alone too), where one can set the question for different technology i.e. Android, Java etc and one can register them self for test as a student, he can choose the choice of technology (Android, Java), and simultaneously he can get the exam result. After submit or End of the Test the form will be submitted and evaluated. Scores will be given to the user on his request. The question and answers can be text or pictures or audios or even videos. Initial plan is to develop a objective type text based question and answer. The main programming language is android/Java database as a sqlite3.
Retail Banking India 2015 - Now and PredictionsMayur Nanotkar
The document highlights
- the Retail Banking Industry in India using the stats
- future predictions for the retail banks in India in terms of Technological advancement and Customer Engagement
- Top 10 Predictions from the World of Retail Banking.
This document is a project report submitted for the degree of Bachelor of Technology. It summarizes the development of an Online Quiz Examination System. The system was developed to automate the exam process and reduce workload for faculty. It allows students to take exams online without needing to go to a physical location. The system includes modules for administrators, faculty, and students. Testing was performed and the system was validated against requirements. Screenshots of the system are also included.
NBL was established as a joint venture between the government and private shareholders. It started with authorized capital of NPR 10 million and paid-up capital of NPR 842,000 shared among 10 shareholders. Currently NBL has 114 branches across Nepal offering services like ABB, SMS banking, safe deposit vaults, and e-banking. NBL also offers various saving accounts and remittance services both within Nepal and internationally to facilitate funds transfer for Nepalese expatriates. Analysis of NBL deposit trends shows deposits are increasing over time, with most from saving accounts. The bank utilizes deposits effectively and recommendations include investing more in different sectors to increase deposits and loan offerings.
The document provides information about Dubai Airport Freezone (DAFZA). It summarizes DAFZA's trade statistics and economic growth in Dubai. It also outlines the benefits of establishing businesses in DAFZA, including tax exemptions and industry diversity. DAFZA aims to be a regional business hub and continues expanding its facilities and services to attract more investors.
This document describes a student project to build a machine learning model to predict loan eligibility. A group of 4 students created a model using random forest classification that achieved 77.92% accuracy. They built a web application with a user interface to input applicant data and receive predictions. The web app includes additional features like an interest rate calculator and finance news section. The project aims to streamline the loan approval process and reduce human workload and errors.
The document describes an OCR system for recognition of Urdu text written in Nastaliq font. It discusses the characteristics of Urdu script, existing approaches for cursive script recognition, and the methodology used in the system. The system employs two holistic approaches - a multi-tier approach using neural networks and a multi-stage classification approach combining multiple classifiers. Results show the 20 most frequent ligatures identified from analyzing BBC Urdu news text, and feature vectors extracted for segmentation.
WizMaps aggregates hard-to-find economic data at the block and neighborhood levels from over 18 sources and uses predictive models to forecast trends and property values at these local levels. Their tools integrate this hyper-local data and forecasting into interactive reports and heat maps to help assess risk, monitor opportunities, and optimize portfolio value for firms like ISGN. WizMaps is seeking a strategic partnership with a company interested in gaining a unique competitive advantage through exclusive access to their real-time risk analysis and market insights.
The purpose of this video is to provide an overview of the recent events and trends that have transpired in the residential housing environment, and to provide an overview of the home-price level for a select group of cities that make up the Adkins 60-City Home Price Index. This analysis is for the second quarter of 2015.
1) The document discusses designing a computerized automated student admission system to make the admission process faster and easier compared to the current manual paper-based system.
2) The proposed system would manage student personal details, academic details, fees, generate reports, and store information in a database for easy access and processing.
3) It would automate the current manual admission process, eliminate paper-based work, and efficiently manage student data to speed up the admission process.
The document discusses key performance indicators (KPIs) for a credit risk analyst position. It provides examples of KPIs, steps for creating KPIs, common mistakes to avoid, and how to design effective KPIs. The document recommends visiting an external website for additional KPI samples and materials related to performance appraisal forms, methods, and review phrases.
Predicting Credit Card Defaults using Machine Learning AlgorithmsSagar Tupkar
This is a project that I worked on as a Capstone for my Masters in Business Analytics program at the University of Cincinnati. In this project, I have performed an end-to-end data mining exercise including data cleaning, distribution analysis, exploratory data analysis, model building etc. to identify and predict Credit Card defaults using Customer's data on past payments and general profile. In the process for building Machine Learning models, I have fit and compared the performance of multiple models and algorithms like Logistic Regreesion, PCA, Classification tree, AdaBoost Classifier, ANN and LDA.
Guard Against Fraud and Financial Crime with NICE Actimize & AWS PPTAmazon Web Services
Learn why financial institutions, investors, and consumers worldwide rely on NICE Actimize solutions on AWS to protect their assets. Actimize technology quickly identifies anomalous behavior enabling real-time, cross-channel fraud, anti-money laundering, bribery, corruption, and trading surveillance detection while exceeding your regulatory compliance requirements on AWS.
This is my college final field work report about online cab booking system. In this online cab booking how it works and some suggestions , analysis about cab booking . All information is in the report. ..
Thank you..
SBI is looking to launch a new digital banking platform called "X-by SBI" to attract younger customers. The presentation discusses conducting research on youth banking habits which found that youth prefer private banks for their better technology and customer service. It also found SBI is perceived as outdated. The presentation recommends "X-by SBI" focus on providing a seamless "carefree consumerism" experience for youth by aggregating services, integrating payments across accounts, and offering deals/discounts. It suggests the brand have a creative, attitude-driven identity to stand out from competitors and gain social media traction among youth.
1. Bank branch expansion into rural unbanked areas of India significantly reduced rural poverty by increasing deposit mobilization and credit disbursement.
2. Preliminary analysis suggests mobile money like M-Pesa has a higher transaction velocity than other monetary instruments typically held by households, especially cash.
3. In Kenya, the outstanding e-float balance held in M-Pesa accounts was over 757 million shillings in August 2008, while the average currency in circulation was only 85.2 billion shillings over the same period.
The document is a project report for developing a college website. It includes sections on requirements analysis, system design, and testing. The proposed system involves creating a dynamic website with database connectivity to replace the existing static site. This would allow recruiters to post job listings and students to apply to opportunities. The project was developed using a three-tier architecture and tested at the unit, integration, and system levels to ensure proper functionality.
The document provides documentation for an online examination system. It discusses the need for the system to automate the exam process for educational institutions and reduce paperwork. It outlines the functional requirements including features for administrators to create exams and monitor results and features for students to register and take exams. Diagrams are provided that illustrate the entity relationship model and data flow between system components at different levels of abstraction.
The document discusses SBI home loans. It provides an introduction to SBI as a bank and describes the various types of home loans offered, including home purchase loans, home improvement loans, and loans for NRIs. Key features of SBI home loans are discussed such as eligibility, repayment periods up to 30 years, and floating interest rates starting from 10%. The document outlines the application process and required documents. Various SBI home loan schemes targeting different customer groups like Yuva loans for young customers and loans for women are also mentioned. Finally, it discusses SBI's partnership with Bankbazaar.com to market its home loans online.
Machine Learning (ML) for Fraud Detection.
- fraud is a big problem (big data, big cost)
- ML on bigger data produces better results
- Industry standard today (for detecting fraud)
- How to improve fraud detection!
Criminal Record Management System in the Perspective of Somalia fowzi mohamed
The project Criminal Record Management System in the perspective of Somalia is a Criminal record management system that uses to record crime activities of criminals. It can be used to report crime activities. This project is mainly useful for law and enforcement agencies in Somalia. The law and enforcement authority can preserve records of the criminals and search any criminal using the system. This is an online web application with database system in which police will keep the record of criminals who have been arrested. We have used HTML, JavaScript, CSS, PHP, MySql and Bootstrap to develop this project. We also used binary search algorithm to find a
This document outlines the modules and functionality of a library management system. It describes 4 main modules: books entry, user entry, issue of books, and return of books. It also discusses cataloging books in the database and tracking book loans and returns. The user entry module section focuses on collecting user details like name, ID, and priority to check books in and out.
Online Examination System For Android AAD Report Akshay KalapgarAkshayKalapgar
Online Examination System is used for conducting online objective test. The test will be customized such that system will have automated checking of answers based on the user interaction. This project helps the faculties to create their own test based on the subject. This also helps the instruction to perform online quiz, test paper such that the academic performance of the students can be increased and can take the feedback from both students and parents.
This Android application (stand alone too), where one can set the question for different technology i.e. Android, Java etc and one can register them self for test as a student, he can choose the choice of technology (Android, Java), and simultaneously he can get the exam result. After submit or End of the Test the form will be submitted and evaluated. Scores will be given to the user on his request. The question and answers can be text or pictures or audios or even videos. Initial plan is to develop a objective type text based question and answer. The main programming language is android/Java database as a sqlite3.
Retail Banking India 2015 - Now and PredictionsMayur Nanotkar
The document highlights
- the Retail Banking Industry in India using the stats
- future predictions for the retail banks in India in terms of Technological advancement and Customer Engagement
- Top 10 Predictions from the World of Retail Banking.
This document is a project report submitted for the degree of Bachelor of Technology. It summarizes the development of an Online Quiz Examination System. The system was developed to automate the exam process and reduce workload for faculty. It allows students to take exams online without needing to go to a physical location. The system includes modules for administrators, faculty, and students. Testing was performed and the system was validated against requirements. Screenshots of the system are also included.
NBL was established as a joint venture between the government and private shareholders. It started with authorized capital of NPR 10 million and paid-up capital of NPR 842,000 shared among 10 shareholders. Currently NBL has 114 branches across Nepal offering services like ABB, SMS banking, safe deposit vaults, and e-banking. NBL also offers various saving accounts and remittance services both within Nepal and internationally to facilitate funds transfer for Nepalese expatriates. Analysis of NBL deposit trends shows deposits are increasing over time, with most from saving accounts. The bank utilizes deposits effectively and recommendations include investing more in different sectors to increase deposits and loan offerings.
The document provides information about Dubai Airport Freezone (DAFZA). It summarizes DAFZA's trade statistics and economic growth in Dubai. It also outlines the benefits of establishing businesses in DAFZA, including tax exemptions and industry diversity. DAFZA aims to be a regional business hub and continues expanding its facilities and services to attract more investors.
This document describes a student project to build a machine learning model to predict loan eligibility. A group of 4 students created a model using random forest classification that achieved 77.92% accuracy. They built a web application with a user interface to input applicant data and receive predictions. The web app includes additional features like an interest rate calculator and finance news section. The project aims to streamline the loan approval process and reduce human workload and errors.
The document describes an OCR system for recognition of Urdu text written in Nastaliq font. It discusses the characteristics of Urdu script, existing approaches for cursive script recognition, and the methodology used in the system. The system employs two holistic approaches - a multi-tier approach using neural networks and a multi-stage classification approach combining multiple classifiers. Results show the 20 most frequent ligatures identified from analyzing BBC Urdu news text, and feature vectors extracted for segmentation.
WizMaps aggregates hard-to-find economic data at the block and neighborhood levels from over 18 sources and uses predictive models to forecast trends and property values at these local levels. Their tools integrate this hyper-local data and forecasting into interactive reports and heat maps to help assess risk, monitor opportunities, and optimize portfolio value for firms like ISGN. WizMaps is seeking a strategic partnership with a company interested in gaining a unique competitive advantage through exclusive access to their real-time risk analysis and market insights.
The purpose of this video is to provide an overview of the recent events and trends that have transpired in the residential housing environment, and to provide an overview of the home-price level for a select group of cities that make up the Adkins 60-City Home Price Index. This analysis is for the second quarter of 2015.
This document provides an overview of opportunities for pro AV companies in the state and local government market. It discusses key points such as:
- The total market size for AV products and services in state and local government is estimated at $1.2 billion annually, with most of the opportunity coming from local governments.
- State and county/district entities tend to have the largest AV budgets, with 50% of states spending over $100,000 annually and 30% over $500,000.
- The IT department is typically the primary decision maker for AV purchases, which are often included under IT budgets.
- Innovative procurement strategies used by some states include best value bidding, public-private partnerships
The document provides an overview of the Chicago multifamily real estate market. Key points include:
- The economy is cooling as the Federal Reserve raises interest rates aggressively, which is slowing inflation but may cause a recession.
- Job growth in Chicago is strongest in the education/health services and professional/business services sectors.
- Multifamily construction levels in Chicago remain high but absorption continues to outpace deliveries, keeping vacancy low relative to the national average.
- Rent growth in Chicago is expected to moderate in 2023 but remain positive, with the strongest growth in suburban submarkets. Concessions are rising in the downtown area.
United States Consumer Electronics and Appliances Market - Industry Size, Sha...TechSci Research
According to #TechSci Research report, United States Consumer Electronics and Appliances Market is expected to be valued at USD165 billion in 2026F and grow with a CAGR of 3.70% by 2026.
Gain More Insight: https://bit.ly/3pZ0sS8
Get Sample Report: https://bit.ly/3w4b1XV
Press Release: https://bit.ly/3I8MjIa
Website: https://www.techsciresearch.com/
Market Research News: https://techsciblog.com/
- Home sales in Metro Vancouver increased modestly in May 2019 compared to April, reaching over 2,000 for the first time this year, though demand remains below historical averages.
- The number of homes currently listed for sale reached a 5-year high of over 14,000 in May 2019, up 30% from May 2018.
- Prices continued to decline across property types, with the composite benchmark price down 0.4% from April and 8.9% from May 2018.
- Home sales in Metro Vancouver increased modestly in May 2019 compared to April, reaching over 2,000 for the first time this year, though demand remains below historical averages.
- The number of homes currently listed for sale reached nearly 14,700, the highest level since 2014, as high prices and stress test qualification issues reduce buyer demand.
- While sales increased slightly from the previous month, they remained well below 10-year averages for May and were the lowest for the month since 2000.
The Adobe Digital Economy Project finds for June that in the U.S., topline inflation is down across DPI categories for the third month in a row (-0.2% in the all-items index and -0.5% in the all-items less grocery index). This is the third month of deflation in the DPI following four straight months of inflation. Prices remain down year-over-year in the all-items index (-0.9%) and down for the all-items less grocery index (-1.9%)
Annie Williams Real Estate Report Aug-Sept 2016Jon Weaver
The major problem with all automated home estimate sites is they are limited to the data on hand. Typically, that includes only square footage, number of beds and baths, recent sales prices and assessor tax values.
What is not included are location nuances such as is the property on a quiet street or next to a main thoroughfare. Did the owners remove that cheap carpeting and replace it with hardwood floors? Were the appliances replaced with high-end
hardware? Granite countertops or tile?
Risk Management - No Longer an Afterthought in the Real Estate BusinessTom Blefko
This document provides information on risk management strategies and protocols implemented by Homesale Realty. It discusses protecting consumer information through network security measures like firewalls and encryption. It also covers training employees on fraud prevention and testing email security. Protocols are in place for secure electronic contracts, encrypted file transfers, and confirming any changes to financial transactions. Overall, the document emphasizes Homesale's focus on risk management and data security to protect clients.
Foreclosure Effects on Neighborhood Property Assessments: National League of ...RWVentures
RW Ventures' recent analysis of the impact of foreclosures on neighborhood property values has begun to garner attention from civic sector stakeholders. Bob Weissbourd and Michael He have presented the findings of the firm's work for the Cook County Assessor's office in addresses to both the National League of Cities' Community and Economic Development Committee and the City of Milwaukee's Community Economic Development Committee.
2019 Election| Housing and Real Estate| Canada| July 2019paul young cpa, cga
Paul Young, a CPA and expert in various financial fields, discusses making housing more affordable in Canada. He outlines issues like rising real estate prices, lack of housing supply, and the need for cooperation across levels of government. New technologies like 3D printing offer promising solutions. The 2019 federal election will likely focus on housing affordability as no party has sufficiently addressed systemic problems to date. All stakeholders must work together using innovative ideas to increase housing availability and affordability going forward.
The document discusses ways to make housing more affordable in Canada. It provides an overview of housing affordability indexes, real estate prices and housing starts. It also examines systemic issues in real estate, the potential for 3D printing in home building, different parties' platforms in the 2019 election around affordable housing, and the need for cooperation across levels of government and the private sector to address availability and affordability issues long-term. Specific policies mentioned include foreign buyer taxes, stimulus programs, mortgage rules, and the need for a rural housing strategy.
Weichert, Princeton January Market Recap & ForecastWeichert Realtors
Want your Phd in Princeton area real estate? Have a look at some of the most detailed data on the Mercer, Middlesex and Somerset County real estate markets. Whether you are buying or selling this will give you insight into both.
The housing market in Metro Vancouver has returned to more typical seasonal levels in the spring of 2022, with home sale activity decreasing 31.6% from May 2021 levels due to rising interest rates. The benchmark home price for all residential properties in Metro Vancouver is $1,261,100, a 14.7% increase from May 2021 but a 0.3% decrease from April 2022. While upward pressure on home prices has begun to ease over the last two months, housing supply needs to more than double to bring the market close to balanced.
The Adobe Digital Economy Project finds a slight uptick in inflation, a strong labor market and a stable housing market. Domestic and international flight prices are up in October from the previous month (1.6 and 1.3% respectively), signaling an end to the summer travel season and the beginning of holiday travel bookings. In the U.S., Tablets saw a 3.7 percent decline in prices month-over-month signaling that retailers are discounting tablets more than other electronics in advance of the holiday season. Holiday discounts are starting to appear for toys as well, where prices dropped 1.2% MoM. More categories this month in the DPI show inflation, likely an early indication of inflation increases in advance of the Fed’s probable interest rate hike in December. Weighted average inflation across categories (excluding groceries) is up 0.1% YoY in October to 0.2%.
This document provides an overview of the Econometric Semiconductor Forecast Service. It uses an econometric model to link global GDP forecasts to semiconductor demand forecasts. It forecasts silicon area for the global semiconductor industry on a quarterly basis. The model captures over 96% of long-run variation in semiconductors. The service provides quarterly forecasts with monthly updates to help subscribers plan for short-term fluctuations in the volatile semiconductor industry. It also details the 2013 forecast, which predicts slightly weaker growth in the first half and stronger growth in the second half of the year.
Real Estate's Big Data Revolution: The New Way to Create ValueHouseCanary
HouseCanary invited a group of leading developers, land investors, builders and architects to discuss how Big Data is revolutionizing the real estate industry on January 21st, 2015.
Bill payment trends in the United States - wave 9PAULINE NDAMBUKI
- 43% of consumers skipped or partially paid at least one bill payment over the past month.
- Almost 1/3 of consumers with a credit card expect to skip or partially pay their next credit card payment.
- 42% of consumers with a credit card and a household income under $25k expect to skip or partially pay their next credit card payment.
- Most consumers who received or expect to receive a government stimulus check plan to use it to pay bills.
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Similar to Electric growers coursera-capstone-project-report-vikram_v2 (20)
06-18-2024-Princeton Meetup-Introduction to MilvusTimothy Spann
06-18-2024-Princeton Meetup-Introduction to Milvus
tim.spann@zilliz.com
https://www.linkedin.com/in/timothyspann/
https://x.com/paasdev
https://github.com/tspannhw
https://github.com/milvus-io/milvus
Get Milvused!
https://milvus.io/
Read my Newsletter every week!
https://github.com/tspannhw/FLiPStackWeekly/blob/main/142-17June2024.md
For more cool Unstructured Data, AI and Vector Database videos check out the Milvus vector database videos here
https://www.youtube.com/@MilvusVectorDatabase/videos
Unstructured Data Meetups -
https://www.meetup.com/unstructured-data-meetup-new-york/
https://lu.ma/calendar/manage/cal-VNT79trvj0jS8S7
https://www.meetup.com/pro/unstructureddata/
https://zilliz.com/community/unstructured-data-meetup
https://zilliz.com/event
Twitter/X: https://x.com/milvusio https://x.com/paasdev
LinkedIn: https://www.linkedin.com/company/zilliz/ https://www.linkedin.com/in/timothyspann/
GitHub: https://github.com/milvus-io/milvus https://github.com/tspannhw
Invitation to join Discord: https://discord.com/invite/FjCMmaJng6
Blogs: https://milvusio.medium.com/ https://www.opensourcevectordb.cloud/ https://medium.com/@tspann
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Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.
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Let me know in the comments if you liked what you saw, how I can improve and what should I show next? Thanks, hope to see you soon at a Meetup in Princeton, Philadelphia, New York City or here in the Youtube Matrix.
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https://github.com/tspannhw/FLiPStackWeekly/blob/main/141-10June2024.md
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https://www.meetup.com/unstructured-data-meetup-new-york/
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Electric growers coursera-capstone-project-report-vikram_v2
1. Electric Growers – Home Security System:
Market Analysis Report
Date: Sunday, June 25, 2017
By Vikram Gopalan
PwC Client Confidential - Copyright 2017
1
2. Agenda
• Home Security – Notable Stats and Facts
• Customer Profile – Key Attributes
• Customer Profile – Analysis Report
• Top segments and their description – Week-2 Analysis Results
• Demographics – Analysis Report
• Key Markets by Score - Week-3 Final Report
• Final Proposal – for Electric Grower Marketing
• Questions
PwC Client Confidential - Copyright 2017
2
3. Home Security – Notable Stats and Facts
1. More than 2M home burglaries are reported each year in the United States.
2. Nearly 66% of all burglaries are residential (home) break-ins.
3. According to the FBI, Home Burglary is the most common threat to our homes.
4. In the U.S. a home burglary occurs every 13 seconds.
5. Only 17% of the homes in U.S. have a security system.
6. Homes without security systems are up to 300% more likely to be broken into.
7. The average property dollar loss per burglary is a staggering $2,251.
8. Burglars tend to avoid homes with security systems.
9. Renters are just as likely to be the victims of property crime as homeowners.
10. People want security and need peace of mind.
PwC Client Confidential - Copyright 2017
3
5. Customer Profile – Key Attributes
Criterion Preferred Profile
Top-3 Customer Segments Identified 1. Diverse Workers
2. Mass Markets
3. Young Upscale Families
Customer Median Age 33 years old
Average Home Value 300k
Positive Survey Contribution 40% (combined)
Top-3 Survey Answers Considered 1. Prefer Products With the Latest Technology
2. Willing to Pay More for Top Quality Electronics
3. Will Switch Brands to Use a Cents-Off
PwC Client Confidential - Copyright 2017
5
6. Customer Profile – Analysis Report
2.64%
2.83%
2.13%
2.43%
2.84%
2.24%
2.90%
2.75%
1.87%
Diverse Workers
Mass Markets
Young Upscale Families
Customer Segments Vs Survey Results
Will Switch Brands to Use a Cents-Off Coupon- Agree
I am Willing to Pay More for Top Quality Electronics- Agree
Prefer Products With the Latest Technology- Agree
19%
19%
26%
9%
27%
Financial Status
(Dollar split)
Bronx Brooklyn Fort Worth
Los Angeles San Antonio
PwC Client Confidential - Copyright 2017
6
7. Top segments and their description – Week-2 Analysis Results
Results
Identified top 3
segments to target:
• 1.Diverse Workers
• 2.Mass Markets
• 3.Young Upscale
Families
Who they are:
• 1.Prefer Products
With the Latest
Technology
• 2.Willing to Pay More
for Top Quality
Electronics
• 3.Will Switch Brands
to Use a Cents-Off
Data Visualizations – Week-2 Analysis Results
Segments and Survey
Counts
Prefer Products With
the Latest
Technology- Agree
I am Willing to Pay
More for Top
Quality Electronics-
Agree
Will Switch Brands
to Use a Cents-Off
Coupon- Agree
People Ask Me for
Purchasing
Advice- Agree
Own Burglar
Alarm
I am Among First of
my Friends to try
new Technology
Products- Agree
Would like to buy
Security Devices
Grand
Total
Comfortable Retirees
5126538 0.92% 0.68% 0.96% 0.57% 0.31% 0.36% 0.15% 3.96%
Diverse Workers
3653326 2.64% 2.43% 2.90% 2.00% 0.90% 1.52% 0.42% 12.81%
Elder Midscale Class
6709160 1.45% 1.27% 1.37% 0.88% 0.75% 0.51% 0.54% 6.77%
Elite Households
3922926 1.30% 1.46% 1.13% 0.89% 1.21% 0.70% 0.98% 7.67%
Mass Markets
3782280 2.83% 2.84% 2.75% 2.15% 1.54% 1.64% 1.02% 14.77%
Modest Families
2647809 1.18% 1.10% 1.36% 1.08% 0.18% 0.77% 0.28% 5.97%
Prosperous Acheivers
5455273 1.13% 1.21% 0.89% 0.70% 1.14% 0.52% 1.08% 6.67%
Upscale Matures
6370407 0.85% 0.82% 0.76% 0.49% 0.78% 0.36% 0.57% 4.62%
Well-Heeled Affluents
9066740 0.85% 0.96% 0.66% 0.55% 0.89% 0.43% 1.49% 5.85%
Young Affluent Mobiles
2990662 2.01% 2.14% 1.71% 1.39% 1.28% 1.13% 0.54% 10.19%
Young Upscale Families
3502870 2.13% 2.24% 1.87% 1.36% 1.68% 1.08% 0.47% 10.82%
Young Urban Masses
8944892 2.09% 2.16% 2.14% 1.57% 0.48% 1.30% 0.17% 9.91%
Grand Total 19.38% 19.31% 18.49% 13.63% 11.13% 10.34% 7.72% 100.00%PwC Client Confidential - Copyright 2017
7
9. Demographics – Analysis Report
0% 20% 40% 60% 80% 100%
Bronx
Brooklyn
Fort Worth
Los Angeles
San Antonio
Population by Race
White Black Hispanic Hawaiian Asian Indian Others
20%
19%
27%
27%
7%
Population Growth Rate
Bronx
Brooklyn
San Antonio
Fort Worth
Los Angeles
• On left Pie-chart, Population Growth Rate of the
identified 5 locations are shown, by their
contribution to the Pie.
• Below is a bar chart projecting the ethnicity of the
identified Customer segments, by City.
PwC Client Confidential - Copyright 2017
9
10. Key Markets by Score - Week-3 Final Report
City State
Population
Growth Rate
Total Crime Total Crime %
Housing
Construction
Segment
Population
Final Score
BRONX NY 1.59% 34,700.625 1.52% 0.82% 70.08% 18.50%
BROOKLYN NY 1.46% 51,354.125 2.25% 1.25% 58.48% 15.86%
SAN ANTANIO TX 2.16% 31,554.375 1.38% 0.87% 58.33% 15.69%
FORT WORTH TX 2.09% 27,930.875 1.22% 0.74% 55.81% 14.97%
LOS ANGELES CA 0.53% 37,202.625 1.63% 0.37% 54.31% 14.21%
0.00%
0.50%
1.00%
1.50%
2.00%
2.50%
Bronx Brooklyn San Antonio Fort Worth Los Angeles
Population Growth
Total Crime
Housing Construction
PwC Client Confidential - Copyright 2017
10
12. Final Proposal – for Electric Grower Marketing
Target Locations
• Out of 5028 Cities
analyzed, 5 key
proposed targets
are:
1. Bronx
2. Brooklyn
3. San Antonio
4. Fort Worth
5. Los Angeles
Target Segments
• Identified top 3
Segments to target:
• Diverse Workers
• Mass Markets
• Young Upscale
Families
Targeted Survey Feedbacks
• Who they are:
• Prefer Products With
the Latest
Technology
• Willing to Pay More
for Top Quality
Electronics
• Will Switch Brands to
Use a Cents-Off.
12
PwC Client Confidential - Copyright 2017
Targeted Criteria’s
• Other Criteria’s
considered are:
• Population Growth
Rate
• Total Crime
• Housing Construction
• Segment Population
• Final Score
• Data set used: