Relevant bibliographies by topics / Sales management Data processing

Academic literature on the topic 'Sales management Data processing'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Sales management Data processing"

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Dede Serlina, Anggun Fergina, and Ivana Lucia Kharisma. "Cement Distribution System in CV. Indosatu With a Supply Chain Management Approach." Applied Technology and Computing Science Journal 5, no. 1 (December 29, 2022): 11–20. http://dx.doi.org/10.33086/atcsj.v5i1.3275.

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CV. Indosatu, which is engaged in building material, a three-wheel cement distributor, has more than 80 customers for building shops and projects located in the Sukabumi city and district areas, so a sales and delivery information system is needed that helps customers and receives fast information, as well as for sales. and the admin will make it easier for orders received from the store and forwarded to the admin section to be verified for further delivery by the logistics section, for sales and stock data information it will be easier to get too.This system will be built using PHP Nativ framework, JavaScript, CSS and MySQL databaseThe final result obtained is a system with (SCM) Supply Chain Management used by CV. Indosatu. This system is able to provide information about orders from sales, store information, shipping information and stock information. From the test results on users, it shows that this marketing and logistics management system helps in processing sales data and processing stock shipping data.
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Harjunawati, Sri, Syahrial Addin, Ida Hendarsih, and Amas Sari Marthanti. "Keberhasilan Manajemen Penjualan Lasser Work Service Zigzag di Semarang Menggunakan Java (Netbeans 7.3)." Profitabilitas 1, no. 2 (December 28, 2021): 113–20. http://dx.doi.org/10.31294/profitabilitas.v1i2.756.

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This research examines the success of Sales Information System Management at Zigzag Lasser Work Service, Semarang, Indonesia. The proposed system is a computerized information system where data can be managed and integrated properly and built with Java programming (Netbeans 7.3) based on localhost. With the proposed Sales Information System, it is able to produce fast, accurate and timely information to facilitate processing of product data, order data, payment data, delivery data or delivery of goods. Sales reports and income reports are generated automatically with integrated processing so as to produce reports that are accurate, fast and can be justified. The speed of data processing and minimizing the occurrence of human error can help management reduce costs in order to apply economic principles to achieve maximum profit.
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Dandy, Dandy, and Rino Rino. "Implementation of Business Intelligence in Data Superstore Sales with Online Analytical Processing Method." bit-Tech 3, no. 2 (April 18, 2021): 44–50. http://dx.doi.org/10.32877/bt.v3i2.182.

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Transaction data in superstore sales data are very useful for company development, can be used to describe and forecast or predict future sales transaction data and to study the past about business opportunities and challenges. The use of Business Intelligence (BI) technology can help analyze large amounts of data, in addition, BI is a powerful tool for quality analysis and company analysis. This study designed an information system using the BI approach to analyze transaction data on superstore sales data. The research focus is on report data, namely superstore sales data regarding sales transactions. This study uses the OLAP method to describe data visualization so that it provides benefits and competitive advantages. This system can improve the quality of decisions taken in solving the problem of abundant data accumulation, monitoring operational activities, fulfilling information needs and effective data management. Business intelligence is expected for company leaders to be able to understand the data that will have been processed in understanding visual forms and can easily absorb the information needed to make decisions for the company. In addition, with the design of website-based business intelligence that is effective and efficient to produce opportunities in making decisions to predict the increase or decrease that will occur in the coming years using the histories in the superstore sales data of the previous years
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Dewi, Irma Amelia, Yusup Miftahuddin, Muhammad Assidiq Fattah, Cikal Bingah Palenda, and Syahrul Fathurrahman Erawan. "Point of Sales System in InHome Café Website using Agile Methodology." Journal of Innovation and Community Engagement 1, no. 1 (March 10, 2021): 01–19. http://dx.doi.org/10.28932/jice.v1i1.3321.

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The Point of Sales (POS) system is a system that supports sales transactions where POS is currently evolving because it can record sales, record inventory, print invoices, calculate profits and improve services for businesspeople and entrepreneurs. InHome Café is one of the growing cafe in Subang, Bandung. Ease of access to purchase products through online services led to an increase in transactions. At InHome Café Subang, data management, data processing, and sales transaction processing used to rely on a manual system or paper-based recording, which open to risks in data management and security. Therefore, to solve the problem, a website-based Point of Sales System was developed to record sales, collect inventory, print invoices, calculate profits using the PHP programming language with the CodeIgniter framework, and MySQL. The system was developed using the Agile development system with a reasoning that a short-term system development that emphasizes client satisfaction was required. The system functionality testing resulted in a success rate of 96.15%. Keywords: agile, café, point of sales, scrum, website
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Adzri, Salza, and Vina Merliana. "INFLUENCE OF ONLINE, FINANCIAL MANAGEMENT, AND APPLICATION TOWARDS SALES EFFECTIVENESS." Journal of Accounting INABA (JAI) 1, no. 1 (June 30, 2022): 1–9. http://dx.doi.org/10.56956/jai.v1i1.10.

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This study aims to analyze the effect of online financial management applications on sales of MSMEs (Micro, Small, and Medium Enterprises) in Bandung. The sample in this study used 80 MSMEs with various types of businesses including those engaged in fashion, culinary, services, and trade. This research method is quantitative with a descriptive verification approach. Data processing using SPSS application version 25 with multiple linear regression testing. The results showed that the variables had an effect on sales effectiveness. Partially, application variables have no effect on sales effectiveness, while financial management variables and online variables affect the effectiveness of MSMEs sales in Bandung City.
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Widiadnyana, Putu, M. Azman Maricar, I. Nyoman Arnawan, and Sri Ariyani. "Analysis of Data Warehouse for Transactional Analysis Methods Online Analytical Processing (OLAP) at Company XYZ Silver." International Journal of Engineering and Emerging Technology 2, no. 1 (September 23, 2017): 72. http://dx.doi.org/10.24843/ijeet.2017.v02.i01.p15.

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Utilization of information technology is a necessity in looking at opportunities available for decision making by the management. With the ability of information technology to analyze existing used the data into useful information for a company. OLAP is Able to Overcome problems in the data processing mechanisms guided to know various information from different angles. By utilizing transactional analysis, then we know the reaction of customers in choosing the products that we will market. The result of Web-based sales has Decreased for the Gianyar and Denpasar regions but has Increased for the Ubud and online areas so as to give a benefit in terms of production costs. With the training for a sales increase of sales can evenly across locations and need input from customers related to minimize returns.
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Silalahi, Arina Prima, and Harlen Gilbert Simanullang. "DASHBOARD MANAGEMENT PENJUALAN DAN PEMBELIAN PADA TANGKAHAN IKAN." METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi 4, no. 2 (September 10, 2018): 8–13. http://dx.doi.org/10.46880/mtk.v4i2.63.

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Technology has an important role in the implementation of human activities at this time, including in business activities. Today's technology is widely used to manage business activities with various forms of display/templates that are easy to use. Dashboards are used to display data concisely. Reports can be viewed quickly through a summary of the data displayed on the dashboard. So much data processing makes business activities that still carry out manual recording and see the report data sequence is felt to be less effective. Utilization of technology is highly needed by owners of small businesses when facing business management constraints such as a long time to manage data, loss of sales data, purchases and reports recapitulation errors. Besides, the need for fast and accurate data and information access is also needed to support and monitor business management. Based on these problems, a solution is needed to manage the overall sales and purchasing data, and display reports quickly and accurately by carrying out a study entitled "Dashboard Management of Sales and Purchases of Fish in Fish Spots".
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Dhio Saputra. "Goods Stock Management using the K-Means Algorithm Method." Jurnal Teknologi 10, no. 1 (April 30, 2020): 22–45. http://dx.doi.org/10.35134/jitekin.v9i2.15.

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The grouping of Mazaya products at PT. Bougenville Anugrah can still do manuals in calculating purchases, sales and product inventories. Requires time and data. For this reason, a research is needed to optimize the inventory of Mazaya goods by computerization. The method used in this research is K-Means Clustering on sales data of Mazaya products. The data processed is the purchase, sales and remaining inventory of Mazaya products in March to July 2019 totaling 40 pieces. Data is grouped into 3 clusters, namely cluster 0 for non-selling criteria, cluster 1 for best-selling criteria and cluster 2 for very best-selling criteria. The test results obtained are cluster 0 with 13 data, cluster 1 with 25 data and cluster 2 with 2 data. So to optimize inventory is to multiply goods in cluster 2, so as to save costs for management of Mazayaproducts that are not available. K-Means clustering method can be used for data processing using data mining in grouping data according to criteria.
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Olva, Maria, Ririt Dwiputri Permatasari, Sanusi Majid, Pratiwi Syair, and Afdal Suganda. "Pemanfaatan Dasbor pada Pemantauan Data Transaksi Penjualan." Journal of Engineering, Technology, and Applied Science 3, no. 1 (April 14, 2021): 1–15. http://dx.doi.org/10.36079/lamintang.jetas-0301.188.

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Penelitian ini bertujuan untuk mengimplementasikan dasbor pada pemantauan data transaksi penjualan di PT. Prima Labeling. Data pada sistem diperoleh dari hasil aliran informasi pengolahan data penjualan dan aliran data informasi pemanfaatan dasbor pada pemantauan data transaksi transaksi penjualan pada PT. Prima Labeling. Model sistem yang digunakan adalah UML yang mana pengembangan sistem penelitian menggunakan metode OOAD. Sistem informasi dirancang berbasis situs web dengan menggunakan bahasa pemrograman PHP dan database MySQL. Teknik penelitian kualitatif, dengan mengumpulkan data-data dan informasi secara deskriptif. Hasil penelitian ini pengguna dapat mengelola transaksi dengan mudah sekaligus dapat melakukan memantau transaksi penjualan pada waktu yang sebenarnya sehingga mempermudah proses pengelolaan data dan transaksi penjualan pada PT. Prima Labeling. Implementing a Dashboard for Monitoring Sales Transaction Data Abstarct: Objective of the research is to monitoring sales transaction data at PT. Prima Labeling by implemented a dashboard. Data on the system is obtained from the results of the sales data processing information flow and dashboard utilization information of data flow monitoring sales transaction data at PT. Prima Labeling. System model used is UML where the research system development uses the OOAD method. Information system is designed based on a website using the PHP programming language and MySQL database. Qualitative research techniques is applied by collecting data and information descriptively. Results of this research users can easily manage transactions as well as monitor sales transactions in real time, thus simplifying the process of data management and sales transactions at PT. Prima Labeling. Keyword: Dashboard, Monitoring, Sales Transactions, UML, OOAD.
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Gołaś, Zbigniew. "IMPACT OF STOCK MANAGEMENT ON THE PROFITABILITY OF MILK PROCESSING COMPANIES." Annals of the Polish Association of Agricultural and Agribusiness Economists XXI, no. 3 (August 10, 2019): 82–92. http://dx.doi.org/10.5604/01.3001.0013.3314.

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This paper analyzes the relationships between the productivity of stocks and the return on assets of milk processing companies. Productivity of stocks was measured as the Days Sales of Inventory (DSI) for materials, intermediate products, work-in-progress, finished products and commodities, and as the DSI for total stocks. The study was based on corporate micro-data from 2007–2016 retrieved from the EMIS database. Based on panel regression models, it was concluded that an improvement in stock management efficiency, measured with the Days Sales of Inventory, is positively correlated to the return on assets of milk processing companies. Although it was considerably shorter in the milk sector than in the entire food industry throughout the study period, it grew longer each year. This evolution means a deterioration in the efficiency of stock management of finished products which, in the long run, may adversely affect the financial performance of milk producers. The parameters of the estimated regression models clearly confirm it is reasonable to reduce DSIs.
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Dissertations / Theses on the topic "Sales management Data processing"

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李安敏 and On-man Andrew Lee. "Some thoughts on the applications of management science in sales and marketing activities on the professional products." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31267397.

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Ponelis, S. R. (Shana Rachel). "Data marts as management information delivery mechanisms: utilisation in manufacturing organisations with third party distribution." Thesis, University of Pretoria, 2002. http://hdl.handle.net/2263/27061.

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Customer knowledge plays a vital part in organisations today, particularly in sales and marketing processes, where customers can either be channel partners or final consumers. Managing customer data and/or information across business units, departments, and functions is vital. Frequently, channel partners gather and capture data about downstream customers and consumers that organisations further upstream in the channel require to be incorporated into their information systems in order to allow for management information delivery to their users. In this study, the focus is placed on manufacturing organisations using third party distribution since the flow of information between channel partner organisations in a supply chain (in contrast to the flow of products) provides an important link between organisations and increasingly represents a source of competitive advantage in the marketplace. The purpose of this study is to determine whether there is a significant difference in the use of sales and marketing data marts as management information delivery mechanisms in manufacturing organisations in different industries, particularly the pharmaceuticals and branded consumer products. The case studies presented in this dissertation indicates that there are significant differences between the use of sales and marketing data marts in different manufacturing industries, which can be ascribed to the industry, both directly and indirectly.
Thesis (MIS(Information Science))--University of Pretoria, 2002.
Information Science
MIS
unrestricted
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Wang, Yi. "Data Management and Data Processing Support on Array-Based Scientific Data." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1436157356.

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Vijayakumar, Nithya Nirmal. "Data management in distributed stream processing systems." [Bloomington, Ind.] : Indiana University, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3278228.

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Thesis (Ph.D.)--Indiana University, Dept. of Computer Science, 2007.
Source: Dissertation Abstracts International, Volume: 68-09, Section: B, page: 6093. Adviser: Beth Plale. Title from dissertation home page (viewed May 9, 2008).
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Aronsson, Henrik. "Modeling strategies using predictive analytics : Forecasting future sales and churn management." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167130.

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This project was carried out for a company named Attollo, a consulting firm specialized in Business Intelligence and Corporate Performance Management. The project aims to explore a new area for Attollo, predictive analytics, which is then applied to Klarna, a client of Attollo. Attollo has a partnership with IBM, which sells services for predictive analytics. The tool that this project is carried out with, is a software from IBM: SPSS Modeler. Five different examples are given of what and how the predictive work that was carried out at Klarna consisted of. From these examples, the different predictive models' functionality are described. The result of this project demonstrates, by using predictive analytics, how predictive models can be created. The conclusion is that predictive analytics enables companies to understand their customers better and hence make better decisions.
Detta projekt har utforts tillsammans med ett foretag som heter Attollo, en konsultfirma som ar specialiserade inom Business Intelligence & Coporate Performance Management. Projektet grundar sig pa att Attollo ville utforska ett nytt omrade, prediktiv analys, som sedan applicerades pa Klarna, en kund till Attollo. Attollo har ett partnerskap med IBM, som saljer tjanster for prediktiv analys. Verktyget som detta projekt utforts med, ar en mjukvara fran IBM: SPSS Modeler. Fem olika exempel beskriver det prediktiva arbetet som utfordes vid Klarna. Fran dessa exempel beskrivs ocksa de olika prediktiva modellernas funktionalitet. Resultatet av detta projekt visar hur man genom prediktiv analys kan skapa prediktiva modeller. Slutsatsen ar att prediktiv analys ger foretag storre mojlighet att forsta sina kunder och darav kunna gora battre beslut.
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Griffin, Alan R., and R. Stephen Wooten. "AUTOMATED DATA MANAGEMENT IN A HIGH-VOLUME TELEMETRY DATA PROCESSING ENVIRONMENT." International Foundation for Telemetering, 1992. http://hdl.handle.net/10150/608908.

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International Telemetering Conference Proceedings / October 26-29, 1992 / Town and Country Hotel and Convention Center, San Diego, California
The vast amount of data telemetered from space probe experiments requires careful management and tracking from initial receipt through acquisition, archiving, and distribution. This paper presents the automated system used at the Phillips Laboratory, Geophysics Directorate, for tracking telemetry data from its receipt at the facility to its distribution on various media to the research community. Features of the system include computerized databases, automated generation of media labels, automated generation of reports, and automated archiving.
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Karlsson, Mathias. "Sales Information Provider." Thesis, Linköping University, Department of Science and Technology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7174.

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Denna rapport utreder möjligheten till att ta in stora mängder data in i en databas och göra sammanslagningar. Detta för att sedan skicka en mängd data på ett smidigt sätt till en klient som ska bearbeta datat. Arbetet sträcker sig från databas till ett API möjligt att implementera i en applikation som önskar hämta informationen. Arbetet innebär en intelligent hämtning av data för visualisering. Det är ett av två examensarbeten som ligger till grund för en visualisering av försäljningsdata för sportbutikskedjan Stadium AB. Stadium AB har idag ca 80 butiker, vilket innebär en stor försäljning per vecka. Tanken är att detta ex-jobb tillsammans med det parallellt gående ex-jobbet ska vara till hjälp för Stadium AB vid inköp av produkter till nästkommande säsonger. Det ex-jobb som löpte parallellt med detta visualiserar mängden av produkter som säljs för en viss tidpunkt vilket ger Stadium möjlighet att se vilka tidpunkter de har för lite produkter i butiken samt när de har för mycket produkter. Detta ex-jobb ska förse visualiseringsapplikationen med den information som krävs. Sales Data Provider, som applikationen heter, bygger på en datalager lösning som grund. Den innehåller beräknade försäljningsdata på olika nivåer för att lätt kunna gräva sig ner i hierarkin och se information om hur olika produkter säljer. Som transportmedel från datalager till klient använder den Web Services med XML som media, för att möjliggöra en distans mellan datalager och klient. Dessutom innehåller den en logisk klient som tar hand om alla anrop mot Web Servicen och exponerar ett API som visualiseringsapplikationen kan använda sig av. Klienten innehåller både logik för att hämta data från Web Servicen och att exponera data genom en objektmodell.

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容勁 and King Stanley Yung. "Application of multi-agent technology to supply chain management." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31223886.

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Bashir, Omar. "Management and processing of network performance information." Thesis, Loughborough University, 1998. https://dspace.lboro.ac.uk/2134/10361.

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Intrusive monitoring systems monitor the performance of data communication networks by transmitting and receiving test packets on the network being monitored. Even relatively small periods of monitoring can generate significantly large amounts of data. Primitive network performance data are details of test packets that are transmitted and received over the network under test. Network performance information is then derived by significantly processing the primitive performance data. This information may need to be correlated with information regarding the configuration and status of various network elements and the test stations. This thesis suggests that efficient processing of the collected data may be achieved by reusing and recycling the derived information in the data warehouses and information systems. This can be accomplished by pre-processing the primitive performance data to generate Intermediate Information. In addition to being able to efficiently fulfil multiple information requirements, different Intermediate Information elements at finer levels of granularity may be recycled to generate Intermediate Information elements at coarser levels of granularity. The application of these concepts in processing packet delay information from the primitive performance data has been studied. Different Intermediate Information structures possess different characteristics. Information systems can exploit these characteristics to efficiently re-cycle elements of these structures to derive the required information elements. Information systems can also dynamically select appropriate Intermediate Information structures on the basis of queries posted to the information system as well as the number of suitable Intermediate Information elements available to efficiently answer these queries. Packet loss and duplication summaries derived for different analysis windows also provide information regarding the network performance characteristics. Due to their additive nature, suitable finer granularity packet loss and duplication summaries can be added to provide coarser granularity packet loss and duplication summaries.
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Agarwalla, Bikash Kumar. "Resource management for data streaming applications." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34836.

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This dissertation investigates novel middleware mechanisms for building streaming applications. Developing streaming applications is a challenging task because (i) they are continuous in nature; (ii) they require fusion of data coming from multiple sources to derive higher level information; (iii) they require efficient transport of data from/to distributed sources and sinks; (iv) they need access to heterogeneous resources spanning sensor networks and high performance computing; and (v) they are time critical in nature. My thesis is that an intuitive programming abstraction will make it easier to build dynamic, distributed, and ubiquitous data streaming applications. Moreover, such an abstraction will enable an efficient allocation of shared and heterogeneous computational resources thereby making it easier for domain experts to build these applications. In support of the thesis, I present a novel programming abstraction, called DFuse, that makes it easier to develop these applications. A domain expert only needs to specify the input and output connections to fusion channels, and the fusion functions. The subsystems developed in this dissertation take care of instantiating the application, allocating resources for the application (via the scheduling heuristic developed in this dissertation) and dynamically managing the resources (via the dynamic scheduling algorithm presented in this dissertation). Through extensive performance evaluation, I demonstrate that the resources are allocated efficiently to optimize the throughput and latency constraints of an application.
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Books on the topic "Sales management Data processing"

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Pentland, Leslie. Salesbook spreadsheets: Sales management, cash management, general management. New York: McGraw-Hill, 1985.

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McMahon, Timothy F. Solving the sales manager/sales automation equation. Chicago: Dartnell Corp., 1996.

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A, Berry Micahel J., ed. Data mining techniques: For marketing, sales, and customer relationship management. 3rd ed. Indianapolis, IN: Wiley Pub., 2011.

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Patton, Wesley E. Sales force: A sales management simulation game. Chicago: Irwin, 1995.

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Berry, Dick. Forecasting sales with the personal computer: Guidelines for marketing and sales managers. New York: Quorum Books, 1988.

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Gordon, Linoff, ed. Data mining techniques: For marketing, sales, and customer relationship management. 2nd ed. Indianapolis, Ind: Wiley Pub., 2004.

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Sales productivity measurement. Milwaukee, Wis: ASQC Quality Press, 1995.

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Seley, Anneke. Sales 2.0: Improve business results using innovative sales practices and technology. Hoboken, N.J: Wiley, 2009.

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Thomas, Gey. EDV-orientierte Aussendienststeuerung: Einsatz in der Konsumgüterindustrie. Wiesbaden: Deutscher Universitäts-Verlag,c, 1990.

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Futuresell: Automating your sales force. Boulder, Colo: Cross Communications Co., 1990.

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Book chapters on the topic "Sales management Data processing"

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Bingham, John. "Data Management." In Data Processing, 157–80. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-19938-9_12.

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Pearson, William. "Leveraging Checkpoint Processing." In Data Management, 247–55. 3rd ed. Boca Raton: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9780429114878-25.

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Johnston, Mark W., and Greg W. Marshall. "Linking Strategies and the Sales Role in the Era of CRM and Data Analytics." In Sales Force Management, 65–104. Thirteenth edition. | Abingdon, Oxon; New York, NY:Routledge, 2021.: Routledge, 2020. http://dx.doi.org/10.4324/9781003134688-3.

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Mueller, Florian. "Empirical Data." In Sales Management Control Strategies in Banking, 165–200. Wiesbaden: Gabler, 2011. http://dx.doi.org/10.1007/978-3-8349-6209-6_5.

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Lancaster, Geoffrey A., and Robert A. Lomas. "Data collection." In Forecasting for Sales and Materials Management, 39–62. London: Macmillan Education UK, 1985. http://dx.doi.org/10.1007/978-1-349-17851-3_3.

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Xu, Jianghong, Cherry Jiang, Yezun Qu, Wenting Zhong, and Zhiwang Gan. "Analysis and FP-Growth Algorithm Design on Discount Data of Department Store Members." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 797–804. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_80.

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AbstractThis paper mainly studies the discount data of department store members. The researsh shows that the total supply of discounted goods and the number of reward points issued have the most significant relationship with customer activation rate, the increase of discount rate and coverage scale would increase the activation rate of inactive members and invalid members. The increase of the score rate may have a stronger incentive effect on active members, but it has no obvious incentive effect on inactive and ineffective members. In addition, by integrating the commodity records of each purchase, and analyzing association rules, commodity combinations with associated consumption relationships are obtained, and the analysis model of commodity portfolio association rules is established. This paper is mainly based on the data of the member information, the sale water meter, the member consumption detailed list, the merchandise information table, through the data processing and analysis, rejects the abnormal data, prepares for the following processing. By analyzing the characteristics of member consumption and the difference between member and non-member consumption, we can provide marketing suggestions for the store manager FP-growth Algorithm is designed to evaluate the purchasing power of members based on their gender, length of membership, age and consumption frequency, and each parameter of the model is explained, so as to improve the management level of the shopping mall. On this basis, Suggestions for promotional activities in shopping malls are given.
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Zhao, Liang, Sherif Sakr, Anna Liu, and Athman Bouguettaya. "Big Data Processing Systems." In Cloud Data Management, 135–76. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04765-2_9.

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Spoorthy, S., Sandhyasree Thaskani, Adithya Sood, M. Girish Chandra, and P. Balamuralidhar. "Missing Data Interpolation Using Compressive Sensing: An Application for Sales Data Gathering." In Machine Intelligence and Signal Processing, 27–35. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2625-3_3.

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Johnson, Diane. "Implementing a Hybrid Online Analytical Processing (HOLAP) Solution." In Data Management, 747–53. 3rd ed. Boca Raton: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9780429114878-69.

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Plattner, Hasso. "Parallel Data Processing." In A Course in In-Memory Data Management, 113–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36524-9_17.

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Conference papers on the topic "Sales management Data processing"

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Turini, Turini, Willy Eka Septian, and Widya Jati Lestari. "ACCOUNTING INFORMATION SYSTEM FOR SPARE PARTS CASH SALES USING THE CASH BASIS METHOD AT THE VIE JAYA MOTOR WORKSHOP CIREBON." In Global Conference on Business and Management Proceedings. Goodwood Conferences, 2022. http://dx.doi.org/10.35912/gcbm.v1i1.13.

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Bengkel Vie Jaya Motor is a business unit engaged in the sale of motorcycle spare parts and provides motorcycle service. The Vie Jaya Motor workshop in handling sales still uses a manual system, namely recording every transaction that occurs in the workshop still using a daily sales report book without detailed information, so that making reports takes a long time. With the problems that exist in the Vie Jaya Motor workshop, the purpose of this research is to create an accounting information system for motorcycle spare parts cash sales which can later provide an overview of the workshop in the data processing process. For the method of collecting data through interviews and conducting library research by searching for information through other sources such as books and the internet related to the problem to be discussed with the aim of making it easier to solve the problem. The analysis and system design stages are described using flowcharts, flowmaps, context diagrams, DFD, and ERD. After this, the next stage is the design of the software system. The design of the software system uses PHP (Hypertext Pre Processor) as a programming language and MySQL as database management. The result of the cash sales accounting information system that has been made by the researcher is to make records and calculations in carrying out cash sales transactions for motorcycle spare parts with the cash basis method. This method was chosen because revenue recognition is recorded when a transaction has occurred where the money is actually received or issued. The accounting information system created can also streamline the time of business activities in making sales journals and reports.
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NEAMȚU, Daniela Mihaela, and Cristian Valentin HAPENCIUC. "STATISTICAL COORDINATES OF YOUNG ENTREPRENEURS IN THE ROMANIAN BUSINESS ENVIRONMENT IN THE NORTH-EAST REGION." In International Management Conference. Editura ASE, 2022. http://dx.doi.org/10.24818/imc/2021/01.06.

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The terms "entrepreneurship "and "entrepreneur" have become increasingly used around the world because entrepreneurship tends to be associated with the economic development and well-being of a nation. When we refer to entrepreneurship education, we must consider not only formal education, which is very important in fact business administration, marketing, sales, human resources, communication and PR, finance but also getting in touch with entrepreneurial models. Therefore, entrepreneurship education is different from traditional academic education and involves the soading of unique aspirations and attitudes to entrepreneurs, which can only develop through contact with entrepreneurial success stories and through contact with entrepreneurs who have succeeded. But just as importantly, young people need to understand not only a romanticised interpretation of entrepreneurship, but also the negative aspects of starting a business. Comparing with entrepreneurs from other countries we are among the last to see the potential of success stories in entrepreneurship education and we are the first by the perceived importance of formal tertiary education. This last type of education could best be supported by government measures, because the universities in Romania are predominantly "state-owned". The general objective of the present research is represented by identifying the profile of young people from the North-East area who intend to open a business in the near / distant future in order to be able to get an overview of the interest that young people show in the business environment. Within quantitative methods of data processing, the basic is the sociological survey, and the main tool for collecting data is the questionnaire. All study tools are administered and applied online, and the collection and centralization of data is done automatically and securely.
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Nanda, Jyotirmaya, Rob Iera, Stella Clarke, Timothy W. Simpson, and David Klinikowski. "A Web-Based Information Management System for Bus Test Data for the Pennsylvania Transportation Institute." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/cie-34455.

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Computer-based information management systems have allowed many companies and facilities to greatly improve their data storage and processing capabilities over traditional paper and file methods. The Internet and its associated web-based technologies have further contributed to information processing capabilities. The Federal Transit Administration’s Bus Testing Program, operated by the Pennsylvania Transportation Institute at the Pennsylvania State University requires an upgrade to such a system. Currently, all bus test data is entered directly into a hardcopy report, and data analysis must be performed manually. The objective in this research is to develop an information management system for the bus test data to facilitate access to the data, enable search queries, and perform statistical analyses to examine current trends or predict performance characteristics of future buses. A database has been created in Microsoft Access and linked to a user-friendly graphical user interface developed in Visual Basic for fast and nearly error-free data entry. A web-based infrastructure comprised of HTML, XML, ASP, and customized COM objects is used to display, search, and analyze the bus test data. The resulting information system saves time and money for PTI while enabling easy access to bus test reports.
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Zhang, Yan, Hui Zhang, and Anyuan Deng. "Coal sales system based on data mining." In 2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2013. http://dx.doi.org/10.1109/iciii.2013.6703548.

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Razmochaeva, Natalya V., and Dmitry M. Klionskiy. "Data Presentation Problems in Retail Sales Management Task." In 2019 XXII International Conference on Soft Computing and Measurements (SCM). IEEE, 2019. http://dx.doi.org/10.1109/scm.2019.8903915.

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Shan, Wenhui. "Research on Refined Sales Management, Data Analysis and Forecasting under Big Data." In 2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). IEEE, 2020. http://dx.doi.org/10.1109/mlbdbi51377.2020.00065.

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Schauer, Raymond H., and Leah K. Richter. "Breaking Ground for a New 3,000 Ton Per Day Waste to Energy Facility." In 20th Annual North American Waste-to-Energy Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/nawtec20-7040.

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Created in 1978, the Solid Waste Authority of Palm Beach County (Authority) has developed an “award winning” solid waste management system that includes the following facilities to service the residents and businesses in Palm Beach County, Florida: • North County Resource Recovery Facility (NCRRF); • Residential and Commercial Recovered Materials Processing Facility; • Six Transfer Stations; • Class I Landfill; • Class III Landfill; • Biosolids Processing Facility; • Ferrous Processing Facility; • Woody Waste Recycling Facility; • Composting Facility; and • Two Household Hazardous Waste Facilities. The Authority has proactively planned and implemented an integrated program to provide for the long term, reliable, economically sound and environmentally sustainable management of solid waste in Palm Beach County. The County’s anticipated growth necessitated that the Authority evaluate several options for long-term processing and disposal capacity. This resulted in a decision to expand its WTE capacity with a new mass burn facility, the first facility of its kind to be constructed in the US in almost two decades, reaffirming its commitment to waste-to-energy. The planned 3,000 TPD facility will provide the Authority with a total disposal capacity of 5,000 TPD generating approximately 150MW of renewable energy. The decision to proceed with the expansion was approved by the Authority’s Board in October 2008. The Authority, with its Consulting Engineer, Malcolm Pirnie/ARCADIS, has since made significant progress in the implementation of this landmark project including the completion of the preliminary design, securing environmental permits, procuring a full service vendor, issuance of nearly $600 million revenue bonds for signing an electrical sales contract, and ongoing extensive public outreach efforts. This presentation will focus on the ongoing development of the new mass burn facility and an update of the status of activities conducted to date such as: • Environmental Permitting – Issuance of the PPSA Conditions of Certification and submittal of the Post Certification/Pre Construction requirements; • Vendor Procurement – Iterative procurement process designed to obtain vendor input through final selection and contract award of a full service vendor (Design, Build and Operate); • Preliminary Design – Innovative design features such as the utilization of SCR technology for control of NOx emission and incorporation of rainwater harvesting and water reuse; • Public Outreach – the Authority’s efforts to keep the public informed through mass mailings, community meetings, television commercials and educational materials for all audiences; and • Financing – Approach designed to preserve alternative minimum tax benefits.
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Liu, Jiyan. "Sales Prediction Model based on Multifactorial Linear Regression." In The International Conference on Big Data Economy and Digital Management. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011195100003440.

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Guo, Jingyi. "Market Sales Forecasting Related to the Semiconductor Manufacturing Industry." In The International Conference on Big Data Economy and Digital Management. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011235800003440.

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Wang, Guanyi. "Sales Forecasting for Firms based on Multiple Regression Model." In The International Conference on Big Data Economy and Digital Management. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011198600003440.

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Reports on the topic "Sales management Data processing"

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Clark, R. E. Waste receiving and processing facility module 1 data management system software project management plan. Office of Scientific and Technical Information (OSTI), November 1994. http://dx.doi.org/10.2172/10105127.

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Rosnick, C. K. Waste Receiving and Processing Facility Module 1 Data Management System software requirements specification. Office of Scientific and Technical Information (OSTI), April 1996. http://dx.doi.org/10.2172/341303.

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Brann, E. C. II. Waste Receiving and Processing Facility Module 1 Data Management System Software Requirements Specification. Office of Scientific and Technical Information (OSTI), September 1994. http://dx.doi.org/10.2172/10186533.

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Palmer, M. E. W-026, Waste Receiving and Processing Facility data management system validation and verification report. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/345061.

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PALMER, M. E. Waste Receiving & Processing (WRAP) Facility Test Report For Data Management System (DMS) Security Test DMS-F81. Office of Scientific and Technical Information (OSTI), May 2001. http://dx.doi.org/10.2172/807106.

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Volkova, Nataliia P., Nina O. Rizun, and Maryna V. Nehrey. Data science: opportunities to transform education. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3241.

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The article concerns the issue of data science tools implementation, including the text mining and natural language processing algorithms for increasing the value of high education for development modern and technologically flexible society. Data science is the field of study that involves tools, algorithms, and knowledge of math and statistics to discover knowledge from the raw data. Data science is developing fast and penetrating all spheres of life. More people understand the importance of the science of data and the need for implementation in everyday life. Data science is used in business for business analytics and production, in sales for offerings and, for sales forecasting, in marketing for customizing customers, and recommendations on purchasing, digital marketing, in banking and insurance for risk assessment, fraud detection, scoring, and in medicine for disease forecasting, process automation and patient health monitoring, in tourism in the field of price analysis, flight safety, opinion mining etc. However, data science applications in education have been relatively limited, and many opportunities for advancing the fields still unexplored.
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PALMER, M. E. Waste Receiving and Processing (WRAP) Facility PMS Test Report For Data Management System (DMS) Security Test DMS-Y2K. Office of Scientific and Technical Information (OSTI), September 1999. http://dx.doi.org/10.2172/798056.

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Avis, William. Drivers, Barriers and Opportunities of E-waste Management in Africa. Institute of Development Studies (IDS), December 2021. http://dx.doi.org/10.19088/k4d.2022.016.

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Population growth, increasing prosperity and changing consumer habits globally are increasing demand for consumer electronics. Further to this, rapid changes in technology, falling prices and consumer appetite for better products have exacerbated e-waste management challenges and seen millions of tons of electronic devices become obsolete. This rapid literature review collates evidence from academic, policy focussed and grey literature on e-waste management in Africa. This report provides an overview of constitutes e-waste, the environmental and health impacts of e-waste, of the barriers to effective e-waste management, the opportunities associated with effective e-waste management and of the limited literature available that estimate future volumes of e-waste. Africa generated a total of 2.9 million Mt of e-waste, or 2.5 kg per capita, the lowest regional rate in the world. Africa’s e-waste is the product of Local and imported Sources of Used Electronic and Electrical Equipment (UEEE). Challenges in e-waste management in Africa are exacerbated by a lack of awareness, environmental legislation and limited financial resources. Proper disposal of e-waste requires training and investment in recycling and management technology as improper processing can have severe environmental and health effects. In Africa, thirteen countries have been identified as having a national e-waste legislation/policy.. The main barriers to effective e-waste management include: Insufficient legislative frameworks and government agencies’ lack of capacity to enforce regulations, Infrastructure, Operating standards and transparency, illegal imports, Security, Data gaps, Trust, Informality and Costs. Aspirations associated with energy transition and net zero are laudable, products associated with these goals can become major contributors to the e-waste challenge. The necessary wind turbines, solar panels, electric car batteries, and other "green" technologies require vast amounts of resources. Further to this, at the end of their lifetime, they can pose environmental hazards. An example of e-waste associated with energy transitions can be gleaned from the solar power sector. Different types of solar power cells need to undergo different treatments (mechanical, thermal, chemical) depending on type to recover the valuable metals contained. Similar issues apply to waste associated with other energy transition technologies. Although e-waste contains toxic and hazardous metals such as barium and mercury among others, it also contains non-ferrous metals such as copper, aluminium and precious metals such as gold and copper, which if recycled could have a value exceeding 55 billion euros. There thus exists an opportunity to convert existing e-waste challenges into an economic opportunity.
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Apiyo, Eric, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Improving Pharmacovigilliance Quality Management System in the Pharmacy and Poisions Board of Kenya. Purdue University, December 2021. http://dx.doi.org/10.5703/1288284317444.

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The purpose of this study was to explore ways of improving the pharmacovigilance quality system employed by the Pharmacy and Poisons Board of Kenya. The Pharmacy and Poisons Board of Kenya employs a hybrid system of pharmacovigilance that utilizes an online system of reporting pharmacovigilance incidences and a physical system, where a yellow book is physically filled by the healthcare worker and sent to the Pharmacy and Poisons Board for onward processing. This system, even though it has been relatively effective compared to other systems employed in Africa, has one major flaw. It is a slow and delayed system that captures the data much later after the fact and the agency will always be behind the curve in controlling the adverse incidents and events. This means that the incidences might continue to arise or go out of control. This project attempts to develop a system that would be more proactive in the collection of pharmacovigilance data and more predictive of pharmacovigilance incidences. The pharmacovigilance system should have the capacity to detect and analyze subtle changes in reporting frequencies and in patterns of clinical symptoms and signs that are reported as suspected adverse drug reactions. The method involved carrying out a thorough literature review of the latest trends in pharmacovigilance employed by different regulatory agencies across the world, especially the more stringent regulatory authorities. A review of the system employed by the Pharmacy and Poisons Board of Kenya was also done. Pharmacovigilance data, both primary and secondary, were collected and reviewed. Media reports on adverse drug reactions and poor-quality medicines over the period were also collected and reviewed. An appropriate predictive pharmacovigilance tool was also researched and identified. It was found that the Pharmacy and Poisons Board had a robust system of collecting historical pharmacovigilance data both from the healthcare workers and the general public. However, a more responsive data collection and evaluation system is proposed that will help the agency achieve its pharmacovigilance objectives. On analysis of the data it was found that just above half of all the product complaints, about 55%, involved poor quality medicines; 15% poor performance, 13% presentation, 8% adverse drug reactions, 7% market authorization, 2% expired drugs and 1% adulteration complaints. A regulatory pharmacovigilance prioritization tool was identified, employing a risk impact analysis was proposed for regulatory action.
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KHAIRALLAH, Sara, and EL HARROUDI Tijani. Delayed coloanal anastomosis technique in the management of low-lying rectal cancer: systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2022. http://dx.doi.org/10.37766/inplasy2022.2.0002.

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Review question / Objective: Is there a difference in terms of post-operative events between delayed and immediate coloanal anastomoses in the management of rectum carcinoma? Condition being studied: Rectal carcinoma. Eligibility criteria: We defined the lower rectum as any rectal tumor located within 6cm of the anal margin or within 2cm of the upper edge of the sphincter ring.- All scientific articles published or not published between 01/1985 and 09/2021 that aim to demonstrate the postoperative, oncological and functional results of ACAD in the curative treatment of adenocarcinoma of the lower rectum or rectal cancer including the lower rectum.- Scientific articles that discuss case series treated with ACAD in different benign or malignant pathologies, but where patient data and results of this procedure are well individualized in patients operated on rectal adenocarcinoma. - Abstracts of conference sessions, theses or unpublished articles (grey literature) with complete data, allowing their extraction and processing in our review.Translated with http://www.DeepL.com/Translator (free version).
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