What is big data?
Big data is a mix of structured, semi-structured, and unstructured data gathered by organizations that can be dug for data and used in machine learning projects, predictive modeling, and other advanced analytics applications.
Systems that process and store big data have turned into a typical part of data the board architectures in organizations, joined with tools that support big data analytics uses. Big data is regularly portrayed by the three V's:
the enormous volume of data in numerous environments; • the wide variety of data types regularly stored in big data systems, and
the velocity at which a significant part of the data is created, gathered and processed.
These characteristics were first recognized in 2001 by Doug Laney, then, at that point, an analyst at consulting firm Meta Group Inc.; Gartner further promoted them after it gained Meta Group in 2005. All the more as of late, several other V's have been added to various descriptions of big data, including veracity, value and variability.
Albeit big data doesn't liken to a specific volume of data, big data deployments frequently involve terabytes, petabytes, and even exabytes of data made and gathered over time.
Big Data is Here for Financial Services White PaperExperian
Conquering Big Data Challenges
Financial institutions have invested in Big Data for many years, and new advances in technology infrastructure have opened the door for leveraging data in ways that can make an even greater impact on your business.
Learn how Big Data challenges are easier to overcome and how to find opportunities in your existing data and scale for the future.
Big Data is Here for Financial Services White PaperExperian
Conquering Big Data Challenges
Financial institutions have invested in Big Data for many years, and new advances in technology infrastructure have opened the door for leveraging data in ways that can make an even greater impact on your business.
Learn how Big Data challenges are easier to overcome and how to find opportunities in your existing data and scale for the future.
Introduction to Big Data: Definition, Characteristic Features, Big Data Applications, Big Data vs Traditional Data, Risks of Big Data, Structure of Big Data, Challenges of Conventional Systems, Web Data, Evolution of Analytic Scalability, Evolution of Analytic Processes, Tools and methods, Analysis vs Reporting, Modern Data Analytic Tools
March Towards Big Data - Big Data Implementation, Migration, Ingestion, Manag...Experfy
Gartner, IBM, Accenture and many others have asserted that 80% or more of the world’s information is unstructured – and inherently hard to analyze. What does that mean? And what is required to extract insight from unstructured data?
Unstructured data is infinitely variable in quality and format, because it is produced by humans who can be fastidious, unpredictable, ill-informed, or even cynical, but always unique, not standard in any way. Recent advances in natural language processing provides the notion that unstructured content can be included in data analysis.
Serious growth and value companies are committed to data. The exponential growth of Big Data has posed major challenges in data governance and data analysis. Good data governance is pivotal for business growth.
Therefore, it is of paramount importance to slice and dice Big Data that addresses data governance and data analysis issues. In order to support high quality business decision making, it is important to fully harness the potential of Big Data by implementing proper Data Migration, Data Ingestion, Data Management, Data Analysis, Data Visualization and Data Virtualization tools.
Check it out: https://www.experfy.com/training/courses/march-towards-big-data-big-data-implementation-migration-ingestion-management-visualization
Now companies are in the middle of a renovation that forces them to be analytics-driven to
continue being competitive. Data analysis provides a complete insight about their business. It
also gives noteworthy advantages over their competitors. Analytics-driven insights compel
businesses to take action on service innovation, enhance client experience, detect irregularities in
process and provide extra time for product or service marketing. To work on analytics driven
activities, companies require to gather, analyse and store information from all possible sources.
Companies should bring appropriate tools and workflows in practice to analyse data rapidly and
unceasingly. They should obtain insight from data analysis result and make changes in their
business process and practice on the basis of gained result. It would help to be more agile than
their previous process and function.
This article useful for anyone who want to introduce with Big Data and how oracle architecture Big Data solution using Oracle Big Data Cloud solutions .
Big Data Analytics: Recent Achievements and New ChallengesEditor IJCATR
The era of Big data is being generated by everything around us at all times. Every digital process and social media
exchange produces it. Systems, sensors and mobile devices transmit it. Big data is arriving from multiple sources at an alarming
velocity, volume and variety. To extract meaningful value from big data, you need optimal processing power, analytics
capabilities and skills. Big data has become an important issue for a large number of research areas such as data mining,
machine learning, computational intelligence, information fusion, the semantic Web, and social networks. The combination of
big data technologies and traditional machine learning algorithms has generated new and interesting challenges in other areas
as social media and social networks. These new challenges are focused mainly on problems such as data processing, data
storage, data representation, and how data can be used for pattern mining, analysing user behaviours, and visualizing and
tracking data, among others. In this paper, discussion about the new concept big data and data analytic their concept, tools
and methodologies that is designed to allow for efficient data mining and information sharing fusion from social media and of
the new applications and frameworks that are currently appearing under the “umbrella” of the social networks, social media
and big data paradigms.
Governance ERP in Bangladesh | PrideGov | Pridesys IT Ltd Implementing an Enterprise Resource Planning (ERP) system with a focus on governance is essential for enhancing efficiency, transparency, and accountability in government operations in Bangladesh. ERP systems can help streamline processes, centralize data, and improve decision-making. Here are some key considerations for implementing a Governance ERP in Bangladesh:
Needs Assessment and Planning:
Conduct a comprehensive needs assessment to understand the specific requirements and challenges faced by various government departments and agencies in Bangladesh.
Create a detailed project plan that outlines the scope, objectives, timeline, and budget for the Governance ERP implementation.
Customization and Localization:
Customize the ERP system to meet the unique needs of the Bangladeshi government, including compliance with local laws and regulations.
Ensure that the ERP system can support multiple languages, as well as the Bengali language, to facilitate widespread adoption.
Data Integration:
Integrate the ERP system with existing government databases and systems to ensure data consistency and accuracy.
Implement data migration strategies to transfer legacy data into the new ERP system.
Transparency and Accountability:
Implement robust access controls and user authentication mechanisms to ensure that only authorized personnel can access sensitive government data.
Enable audit trails and reporting features to track and monitor user activities within the ERP system, promoting accountability.
Financial Management:
Integrate financial modules into the ERP system to manage budgeting, accounting, procurement, and fund allocation efficiently.
Ensure compliance with government financial regulations and reporting requirements.
Human Resource Management:
Use the ERP system to manage government employee records, payroll, attendance, and performance evaluations.
Implement a self-service portal for employees to access HR-related information and services.
Procurement and Supply Chain Management:
Streamline procurement processes through the ERP system, ensuring transparency and efficiency in procurement activities.
Implement inventory management modules to optimize supply chain operations.
Public Services and Citizen Engagement:
Develop citizen-centric modules within the ERP system, allowing citizens to access government services online.
Enable features for citizens to provide feedback and report issues through the ERP system.
Training and Capacity Building:
Train government employees at all levels on how to use the ERP system effectively.
Establish a dedicated helpdesk or support team to address user inquiries and issues.
Scalability and Sustainability:
Ensure that the ERP system can scale to accommodate the growth of government operations and data.
Develop a long-term sustainability plan, including regular system updates and maintenance.
Cybersecurity:
Implement robust cybersecurity measures to protect
Introduction to Big Data: Definition, Characteristic Features, Big Data Applications, Big Data vs Traditional Data, Risks of Big Data, Structure of Big Data, Challenges of Conventional Systems, Web Data, Evolution of Analytic Scalability, Evolution of Analytic Processes, Tools and methods, Analysis vs Reporting, Modern Data Analytic Tools
March Towards Big Data - Big Data Implementation, Migration, Ingestion, Manag...Experfy
Gartner, IBM, Accenture and many others have asserted that 80% or more of the world’s information is unstructured – and inherently hard to analyze. What does that mean? And what is required to extract insight from unstructured data?
Unstructured data is infinitely variable in quality and format, because it is produced by humans who can be fastidious, unpredictable, ill-informed, or even cynical, but always unique, not standard in any way. Recent advances in natural language processing provides the notion that unstructured content can be included in data analysis.
Serious growth and value companies are committed to data. The exponential growth of Big Data has posed major challenges in data governance and data analysis. Good data governance is pivotal for business growth.
Therefore, it is of paramount importance to slice and dice Big Data that addresses data governance and data analysis issues. In order to support high quality business decision making, it is important to fully harness the potential of Big Data by implementing proper Data Migration, Data Ingestion, Data Management, Data Analysis, Data Visualization and Data Virtualization tools.
Check it out: https://www.experfy.com/training/courses/march-towards-big-data-big-data-implementation-migration-ingestion-management-visualization
Now companies are in the middle of a renovation that forces them to be analytics-driven to
continue being competitive. Data analysis provides a complete insight about their business. It
also gives noteworthy advantages over their competitors. Analytics-driven insights compel
businesses to take action on service innovation, enhance client experience, detect irregularities in
process and provide extra time for product or service marketing. To work on analytics driven
activities, companies require to gather, analyse and store information from all possible sources.
Companies should bring appropriate tools and workflows in practice to analyse data rapidly and
unceasingly. They should obtain insight from data analysis result and make changes in their
business process and practice on the basis of gained result. It would help to be more agile than
their previous process and function.
This article useful for anyone who want to introduce with Big Data and how oracle architecture Big Data solution using Oracle Big Data Cloud solutions .
Big Data Analytics: Recent Achievements and New ChallengesEditor IJCATR
The era of Big data is being generated by everything around us at all times. Every digital process and social media
exchange produces it. Systems, sensors and mobile devices transmit it. Big data is arriving from multiple sources at an alarming
velocity, volume and variety. To extract meaningful value from big data, you need optimal processing power, analytics
capabilities and skills. Big data has become an important issue for a large number of research areas such as data mining,
machine learning, computational intelligence, information fusion, the semantic Web, and social networks. The combination of
big data technologies and traditional machine learning algorithms has generated new and interesting challenges in other areas
as social media and social networks. These new challenges are focused mainly on problems such as data processing, data
storage, data representation, and how data can be used for pattern mining, analysing user behaviours, and visualizing and
tracking data, among others. In this paper, discussion about the new concept big data and data analytic their concept, tools
and methodologies that is designed to allow for efficient data mining and information sharing fusion from social media and of
the new applications and frameworks that are currently appearing under the “umbrella” of the social networks, social media
and big data paradigms.
Governance ERP in Bangladesh | PrideGov | Pridesys IT Ltd Implementing an Enterprise Resource Planning (ERP) system with a focus on governance is essential for enhancing efficiency, transparency, and accountability in government operations in Bangladesh. ERP systems can help streamline processes, centralize data, and improve decision-making. Here are some key considerations for implementing a Governance ERP in Bangladesh:
Needs Assessment and Planning:
Conduct a comprehensive needs assessment to understand the specific requirements and challenges faced by various government departments and agencies in Bangladesh.
Create a detailed project plan that outlines the scope, objectives, timeline, and budget for the Governance ERP implementation.
Customization and Localization:
Customize the ERP system to meet the unique needs of the Bangladeshi government, including compliance with local laws and regulations.
Ensure that the ERP system can support multiple languages, as well as the Bengali language, to facilitate widespread adoption.
Data Integration:
Integrate the ERP system with existing government databases and systems to ensure data consistency and accuracy.
Implement data migration strategies to transfer legacy data into the new ERP system.
Transparency and Accountability:
Implement robust access controls and user authentication mechanisms to ensure that only authorized personnel can access sensitive government data.
Enable audit trails and reporting features to track and monitor user activities within the ERP system, promoting accountability.
Financial Management:
Integrate financial modules into the ERP system to manage budgeting, accounting, procurement, and fund allocation efficiently.
Ensure compliance with government financial regulations and reporting requirements.
Human Resource Management:
Use the ERP system to manage government employee records, payroll, attendance, and performance evaluations.
Implement a self-service portal for employees to access HR-related information and services.
Procurement and Supply Chain Management:
Streamline procurement processes through the ERP system, ensuring transparency and efficiency in procurement activities.
Implement inventory management modules to optimize supply chain operations.
Public Services and Citizen Engagement:
Develop citizen-centric modules within the ERP system, allowing citizens to access government services online.
Enable features for citizens to provide feedback and report issues through the ERP system.
Training and Capacity Building:
Train government employees at all levels on how to use the ERP system effectively.
Establish a dedicated helpdesk or support team to address user inquiries and issues.
Scalability and Sustainability:
Ensure that the ERP system can scale to accommodate the growth of government operations and data.
Develop a long-term sustainability plan, including regular system updates and maintenance.
Cybersecurity:
Implement robust cybersecurity measures to protect
Apr 04, 2023
Digital Transformation in Bangladesh: How Pridesys is Contributing
Pridesys IT Ltd, the country's top software company, is playing a critical role for the digital transformation in Bangladesh. Pridesys has been actively involved in multiple government projects aimed at digitizing various industries and services. Due to its competence in ERP, cybersecurity, and other software services. In this blog article, we'll look at how Pridesys is helping the Bangladesh government in building a digital Bangladesh.
Where we worked
Pridesys has worked on a variety of government projects over the years. Including those for the Planning Commission, Dhaka WASA, the Bangladesh Council of Scientific and Industrial Research, the Department of Public Libraries, the Wage Earners' Welfare Board, the Directorate of Madrasha Education, Teletalk, the Department of Agricultural Extension, the Department of Fisheries, the Bangladesh Freedom Fighter Welfare Trust, and the Bangladesh Press Council. Let's take a closer look at some of these projects:
Dhaka WASA
Pridesys created a system that controls the Dhaka Water Supply and Sewerage Authority (WASA) supply chain, Human Resource Management System (HRMS), assuring seamless and efficient water delivery.
GIS-based software for the Planning Commission
Pridesys created Geographic Information System (GIS)-based software for the Planning Commission that allows them to gather, store, analyze, and present geographic data.
Digital Chemical Inventory Software for the Bangladesh Council of Scientific and Industrial Research (BCSIR)
Pridesys created an inventory management system for the Bangladesh Council of Scientific and Industrial Research (BCSIR) to assist them track and manage chemicals in their labs.
Teletalk
Pridesys maintains and supports Teletalk's Enterprise Resource Planning (ERP) system, Design & Development of Purchase Module and Up- Gradation of Human Resource Module, Design & Development of Dealer Management System Software (DMS), guaranteeing its smooth operation and timely upgrades.
PIU-NATP 2
Design and Development of Knowledge and Learning Platforms for PIU-NATP 2 by the Department of Agricultural Extension (DAE), Department of Fisheries (DOF), Department of Livestock Services (DLS). Pridesys created a knowledge and learning platform that allows farmers to access crucial agricultural information and resources online.
Pridesys Government Client List:
• Teletalk
• Bangladesh ICT Division
• Planning Commission
• Wage Earners' Welfare Board (WEWB)
• Dhaka WASA
• Bangladesh Council of Scientific and Industrial Research (BCSIR)
• Department of Public Libraries
• Directorate of Madrasha Education(DME)
• Department of Agricultural Extension (DAE) PIU-NATP-2
• Department of Fisheries (DOF). PIU-NATP 2
• Department of Livestock Services (DLS)_ NATP 2
• Bangladesh Freedom Fighter Welfare Trust (BFFWT)
• Bangladesh Press Council
Digital Transformation in Bangladesh_ How Pridesys is Contributing.pdfPridesys IT Ltd.
Digital Transformation in Bangladesh: How Pridesys is Contributing
Pridesys IT Ltd, the country's top software company, is playing a critical role for the digital transformation in bangladesh as it moves forward. Pridesys has been actively involved in multiple government projects aimed at digitizing various industries and services due to its competence in ERP, cybersecurity, and other software services. In this blog article, we'll look at how Pridesys is helping the Bangladesh government in building a digital Bangladesh.
Pridesys has worked on a variety of government projects over the years, including those for the Planning Commission, Dhaka WASA, the Bangladesh Council of Scientific and Industrial Research, the Department of Public Libraries, the Wage Earners' Welfare Board, the Directorate of Madrasha Education, Teletalk, the Department of Agricultural Extension, the Department of Fisheries, the Bangladesh Freedom Fighter Welfare Trust, and the Bangladesh Press Council. Let's take a closer look at some of these projects:
Dhaka WASA
Pridesys created a system that controls the Dhaka Water Supply and Sewerage Authority (WASA) supply chain, Human Resource Management System (HRMS), assuring seamless and efficient water delivery.
GIS-based software for the Planning Commission
Pridesys created Geographic Information System (GIS)-based software for the Planning Commission that allows them to gather, store, analyze, and present geographic data.
Digital Chemical Inventory Software for the Bangladesh Council of Scientific and Industrial Research (BCSIR)
Pridesys created an inventory management system for the Bangladesh Council of Scientific and Industrial Research (BCSIR) to assist them track and manage chemicals in their labs.
Teletalk
Pridesys maintains and supports Teletalk's Enterprise Resource Planning (ERP) system, Design & Development of Purchase Module and Up- Gradation of Human Resource Module, Design & Development of Dealer Management System Software (DMS), guaranteeing its smooth operation and timely upgrades.
PIU-NATP 2
Design and Development of Knowledge and Learning Platforms for PIU-NATP 2 by the Department of Agricultural Extension (DAE), Department of Fisheries (DOF), Department of Livestock Services (DLS). Pridesys created a knowledge and learning platform that allows farmers to access crucial agricultural information and resources online.
Moreover
Pridesys has been helpful in digitizing numerous sectors in Bangladesh by the path of Digital transformation in Bangladesh, ranging from water supply management to agricultural information distribution, through these projects and others. Pridesys has assisted the government in streamlining processes, increasing efficiency, and improving service delivery to residents by offering cutting-edge software solutions.
Conclusion
Finally, Pridesys IT Ltd has played an important role in Digital transformation in Bangladesh path, collaborating with the government to create a digital Banglade
SEO (Search Engine Optimization) is essential for every writer. In order to increase organic traffic in today's oversaturated environment and frequent algorithm changes, it's important to focus on the right tips and implement the right techniques. These 12 effective SEO tips will help you increase your organic traffic in 2022.
Increase traffic with long tail keywords
Analyze search intent
Optimize on-page technical SEO
Perform a website audit
Conduct a content gap analysis
ERP FAQ_ Frequently Asked Questions About ERP.pdfPridesys IT Ltd.
The implementation of enterprise resource planning software, also called ERP, often surprises companies. Most companies misjudge the work expected to implement their chosen ERP solution. If the software is not implemented accurately, the company will not profit from the speculation of the new business software system. In this article, you can find the ERP FAQ with answers.
PridesysERP - Frequently asked questions about ERP
The path to effective implementation incorporates numerous factors that must be considered before designing the solution into the flow of daily business tasks. Let us discuss some important queries and answers as frequently asked questions for people who want to learn more about the ideal ERP implementation essays.
ERP FAQ: What is an ERP system and why is it used?
Enterprise resource planning is a type of software application used most often by medium and large businesses, and occasionally by smaller organizations. ERP software focuses on embedding business processes in a single, smooth data set and user interface by offering modules for each of the core business regions: Human Resources, Finance, Inventory Management, Sales, and Relationship Management. with customers, along with other core businesses. functionalities
The main goal of ERP software is to coordinate previously separate databases and processes into a single source of truth, rather than these databases and processes running in warehouses. The moment a customer submits an item request, the ERP performs data exchanges within the customer relationship management and inventory management modules, along with other modules related to sales exercises.
PridesysERP - Frequently asked questions about ERP
In this way, the ERP cultivates the permeability and examination of information in various business divisions from a single system. At the same time, staff do not have to physically enter the exchange into numerous databases.
Associated through an ERP system, data sources that monitor distinct business goals can communicate with each other. These directions reduced manual handling of information, faster business cycles, IT cost reserve funds, and business development potential without hiring new faculty or bringing in additional capital.
ERP FAQ: What are some ERP implementation approaches?
Well-known approaches incorporate all-inclusive complete set-up, unit-by-unit, and key process set-up. The system you choose should match the needs of your association. For example, smaller companies may attempt a large installation, while this type of approach is unimaginable for most larger organizations.
Before implementation begins, the software determination cycle should have led your association to choose an ERP software that is a good fit for your core business processes. In any case, during the implementation of the ERP, minor changes must be made to ensure that the processes fit as well as might be expected with the upcoming software solution
Monuwar Iqbal crafting future for local, international software industry with...Pridesys IT Ltd.
Monuwar Iqbal, the CEO of Pridesys IT Ltd and Pridesys Global LLC, is a successful IT entrepreneur, technology enthusiastic and visionary leader having expertise on business transformation to build up global ecosystem. He has been working in national and international ICT market for model development of citizen social service innovation, business process reengineering and service decentralization for last 15 years and place a footprint in more than 10 countries like USA, Thailand, Singapore, Japan etc.
Monuwar Iqbal leading ICT sector to grow – Dhaka Tribune.pdfPridesys IT Ltd.
Monuwar Iqbal is the CEO of two internationally recognized corporations, Pridesys IT Ltd and Pridesys Global LLC
Industry automation through a secure and scalable ERP increases its growth by eliminating existing business gaps using process reengineering, maximizing customer expectation, and minimizing resource and data management costs resulting in profit maximization.
The latest technology-based self-developed ERP product of Pridesys IT incorporates multi-dimensional business operational factors leading to place a prestigious milestone in different sectors like garments, textile, trading, manufacturing, telecommunication, insurance, financial, health, education, footwear etc of the national and international market.
This ICT Transformation Leadership Improvement solution has been developed based on Monuwar Iqbal’s successful experience and extensive global industry practices, reads a press release.
For years, our large companies have been seeking this ERP from international providers, and we were transferring a large amount of money from the country. However, an enthusiastic entrepreneur, Monuwar Iqbal, developed his ERP products to solve this problem. He made revolutionary ERP products for local and foreign manufacturing, trading, and service companies.
Monuwar Iqbal is the CEO of two internationally recognized corporations, Pridesys IT Ltd and Pridesys Global LLC. These companies offer many types of application delivery services like BlockChain, IoT, Big Data, Machine Learning, mobile apps, ERP services etc.
Hundreds of private and governmental companies are taking service from Monuwar Iqbal and his team, consisting of more than 150 IT experts by his company Pridesys IT.
The way Iqbal leads Pridesys IT and helps our technical sector grow is much related to the plans and goals of making ‘Digital Bangladesh’ of the Bangladesh government.
Monuwar Iqbal is skillfully leading his team to provide high-quality services with clear objectives to their clients from different countries with high expectations and demands. Iqbal and his team from Pridesys IT got many local awards, 5 national awards, and 2 international awards for their hard work.
Since Monuwar Iqbal is offering this magic business growth service at a very low rate than other ERP providers, our Bangladeshi companies are becoming fans of Pridesys IT. Even with a lower rate, the benefit of their team and product is top-notch like other costly providers.
Read On Dhaka Tribune
Big data is a mix of structured, semistructured, and unstructured data gathered by organizations that can be dug for data and used in machine learning projects,
Java is perhaps the most famous programming language used to make Web applications and platforms. It was intended for flexibility, permitting developers to
Business Intelligence (BI) Can Help Fin-tech to Grow Faster.pdfPridesys IT Ltd.
How about we have a more intensive gander at how banking and finance institutions can use business intelligence (BI) answers to drive profitability, diminish
Cloud computing is the contribution of an application or administration that is presented over various gadgets, or areas. This offering can be given north of
Reason To Choose Oracle APEX (Application Express).pdfPridesys IT Ltd.
Oracle APEX is a mobile application development framework included with the Oracle database at no expense and is completely upheld by Oracle Corporation.
AI chatbot are frequently called menial helpers. Chatbots are normal in showcasing, presently taking spots in numerous angles to make speedy and shrewd help.
Employees are your most valuable asset, providing the solid foundation needed to build long-term success. Human capital management (HCM) values the employee as an important business asset that has a concrete measurement of value. This value can be increased and enhanced with the concerted investment of a dedicated company. HCM is in part the monitoring and measuring of employee performance to help improve the value of this human asset. People and their skills are the most important and valuable asset in any organization. So, maintaining each of task and the responsibility is very crucial in an organization. And if an organization has thousands of people working on different field it is very much tough to maintain the payroll, attendance, benefits, administration cost. Human Capital Management in ERP helps this department to maintain the good flow of employee information and evaluate the performance of each employee. ERP and HCM solutions are a natural pairing, Pridesys human capital management is packed with functionalities that enable you to comprehensively, and yet simplistically, handle payroll processing. Pridesys ERP provides you the ultimate way to control your whole Human Resource (HR) in just one simple click. Evidently speaking, efficiency in any organization begins at the point of impact where a worker performs a job. Employees who have the right skills, knowledge, and abilities can have an impact on your company’s bottom line. Unfortunately, even good employees don’t manage themselves. It takes fast, reliable information and a system behind it to let your people have the greatest positive impact for them and for you. Our HR module will give you the access to keep in touch with every possible activity related with your human resource. The way will be so integrated and effortless that you can easily pursue and achieve any kind of goals. Why should you always have to spy on your employees to track their progress and performance? Try the Pridesys Human Capital Management ERP Module. This will help you with the personnel management, staffing schedules, shift planning, time recording, absence, leave management and the skill development of your employees.
http://bit.ly/human-resources-management-software
যাত্রা যুক্তরাষ্ট্রে মাদাগাস্কারে | জনাব মনোয়ার ইকবাল | প্রাইডসিস আইটি লিমিটেডPridesys IT Ltd.
তৈরি পোশাক খাতে বিদেশি সফটওয়্যারকে টেক্কা দিতে পারে এমন সফটওয়্যার তৈরি হয়েছে বাংলাদেশেই। অনন্যবৈশিষ্ট্য ও নতুন প্রযুক্তির সেই সফটওয়্যারের যাত্রা এখন যুক্তরাষ্ট্র ও মাদাগাস্কারেও। চার বছর ধরে গবেষণা ও উন্নয়নের পর দেশের তরুণেরা তৈরি করেছেন এই সফটওয়্যার। এই দেশি সফটওয়্যার তৈরির প্রতিষ্ঠান প্রাইডসিস আইটির উদ্যোক্তা মনোয়ার ইকবাল।
প্রাইডসিস গবেষণা আর উন্নয়নে গুরুত্ব দেয় বেশি। পণ্য নিখুঁত বা টেকসই না হলে প্রতিযোগিতার বাজারে আস্থা অর্জন করে টিকে থাকা সম্ভব নয়। এটাই তাদের মূলমন্ত্র। তাই তারা পণ্য শতভাগ প্রস্তুত করে গ্রাহকসেবা নিশ্চিত করে বাজারে ছাড়ে।
কম্পিউটারবিজ্ঞানে স্নাতক সফটওয়্যার উদ্যোক্তা মনোয়ার ইকবালের বাড়ি গাজীপুরের শ্রীপুরে। ২০০১ সালে পড়াশোনার পাশাপাশি জুনিয়র প্রোগ্রামার হিসেবে ৬ হাজার টাকা বেতনে একটা সফটওয়্যার প্রতিষ্ঠানে চাকরি শুরু করেন। চাকরির অভিজ্ঞতা তাঁর নিজের প্রতিষ্ঠান তৈরির কাজে এসেছে। ২০১৩ সালে কোম্পানি প্রতিষ্ঠা করার সিদ্ধান্ত নেন হঠাৎ করে। শুরুতে কোনো রকম চলার মতো গ্রাহকের ব্যবস্থাও হয়ে যায়। প্রকল্প সফল করতে নিয়োগ দেওয়া হয় খালেদ, সজিব ও লিপুকে। এ সময় সাহায্য পেয়েছেন সাইনেসিস আইটির ব্যবস্থাপনা পরিচালক সোহরাব আহমেদ এবং মাহমুদ গ্রুপের কর্মকর্তাদের। শুরুতে কোনো অফিস ছিল না। গ্রাহকের দেওয়া ছোট্ট একটা টেবিলই ছিল অফিস। এই ছোট্ট টেবিল থেকেই শুরু হয় প্রাইডসিস আইটির স্বপ্নযাত্রা।
প্রথম দিকে ছোট কিছু প্রকল্প করলেও পরে মনোয়ার ইকবাল মনোযোগ দেন ইআরপি সফটওয়্যার তৈরিতে। তাঁর নিজের অভিজ্ঞতা ও বাজার যাচাই করে তিনি তৈরি পোশাক ও বস্ত্র খাতের উপযোগী সফটওয়্যার তৈরিতে কাজ শুরু করেন। এই খাতে পুরোপুরি একক সমাধান দিতে পারে এমন কোনো প্রতিষ্ঠান তখন ছিল না। বিদেশি সফটওয়্যারের খরচও বেশি ছিল। দেশি ইআরপি সফটওয়্যার কোম্পানি হিসেবে আস্থা অর্জন চ্যালেঞ্জ ছিল।
পরে মাহমুদ গ্রুপে বিদেশি সফটওয়্যার গ্রুপের সঙ্গে প্রতিযোগিতা করে প্রকল্প পায় প্রাইডসিস। চুক্তি হয় ২ কোটি টাকার। তিন বছরের মধ্যে মাহমুদ গ্রুপের ১০টি কোম্পানি পুরোপুরি ইআরপি সফটওয়্যারের আওতায় আসে। এরপর প্রাইডসিস আরও প্রোগ্রামার নিয়োগ দেয়। উত্তরায় দুই কক্ষের একটা অফিস নেওয়া হয়। এরই মধ্যে আরও কিছু নতুন প্রকল্প যুক্ত হয়। দেশের মোবাইল অপারেটর টেলিটকের ইআরপি সেবা দেওয়ার চুক্তি হয়। এরপর নতুন অফিস নেওয়ার প্রয়োজন হয়ে পড়ে। কারওয়ান বাজারে শুরু হয় নতুন অফিস। প্রাইডসিস এরপর তৈরি পোশাক ও বস্ত্রশিল্পের জন্য ‘প্ল্যানিং অ্যান্ড কাটিং’ সফটওয়্যার তৈরিতে কাজ শুরু করে। প্রথম চার বছরে মাত্র পাঁচজন গ্রাহকের কাজ করেছিল প্রাইডসিস। তবে এরপর থেকে গ্রাহক বাড়তে থাকে। শুরু হয় দেশের বাইরের কাজ।
প্রাইডসিসের প্রধান প্রযুক্তি কর্মকর্তা (সিটিও) ওমর ফারুক বলেন, প্রাইডসিস তাদের সফটওয়্যার নিয়ে মাদাগাস্কারের সবচেয়ে বড় গার্মেন্টস গ্রুপের সঙ্গে কাজ শুরু করেছে। সেখানে অফিসের কার্যক্রম শুরু হয়েছে। এর বাইরে যুক্তরাষ্ট্রেও কাজের পরিধি বাড়ানো হচ্ছে। নতুন ডোমেইন হিসেবে বিগ ডেটা, আর্টিফিশিয়াল ইনটেলিজেন্স, ক্লাউড কম্পিউটিং নিয়ে কাজ করছে। বিশ্বের অন্যতম একটি বড় রোবটিকস প্রতিষ্ঠানের জন্য রোবটের চোখের সফটওয়্যার তৈরিতে কাজ করা হচ্ছে। দেশের ও বিদেশের উপযোগী অনেক অ্যাপ ও ফেসবুকের মতো যোগাযোগের ওয়েবসাইট প্রস্তুত করা হয়েছে। এখন থাইল্যান্ডের এক কোম্পানির অফশোর ডেভেলপমেন্ট সেন্টারের হাসপাতাল ম্যানেজমেন্ট সফটওয়্যার নিয়ে কাজ চলছে। নতুন প্রযুক্তি হিসেবে বিজনেস ইনটেলিজেন্স, ব্লকচেইনের মতো নতুন প্রযুক্তির গবেষণার কাজও চলছে। জাপানে শুরু হচ্ছে বিগ ডেটা নিয়ে কাজ।
Cracking the Workplace Discipline Code Main.pptxWorkforce Group
Cultivating and maintaining discipline within teams is a critical differentiator for successful organisations.
Forward-thinking leaders and business managers understand the impact that discipline has on organisational success. A disciplined workforce operates with clarity, focus, and a shared understanding of expectations, ultimately driving better results, optimising productivity, and facilitating seamless collaboration.
Although discipline is not a one-size-fits-all approach, it can help create a work environment that encourages personal growth and accountability rather than solely relying on punitive measures.
In this deck, you will learn the significance of workplace discipline for organisational success. You’ll also learn
• Four (4) workplace discipline methods you should consider
• The best and most practical approach to implementing workplace discipline.
• Three (3) key tips to maintain a disciplined workplace.
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s DholeraAvirahi City Dholera
The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
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Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
Kseniya Leshchenko: Shared development support service model as the way to ma...Lviv Startup Club
Kseniya Leshchenko: Shared development support service model as the way to make small projects with small budgets profitable for the company (UA)
Kyiv PMDay 2024 Summer
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What are the main advantages of using HR recruiter services.pdfHumanResourceDimensi1
HR recruiter services offer top talents to companies according to their specific needs. They handle all recruitment tasks from job posting to onboarding and help companies concentrate on their business growth. With their expertise and years of experience, they streamline the hiring process and save time and resources for the company.
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
1. Blog Support Career Contact Us
27/03/2022
What Is Big Data? How Big Data Works
“Big data can be contrasted with small data, a term that is sometimes used to describe data sets that can be easily used for self-service BI and analytics. A
usually cited maxim is, “Big data is for machines; small data is for individuals.”
What is big data?
Big data is a mix of structured, semi-structured, and unstructured data gathered by organizations that can be dug for data and used in machine learning projects,
predictive modeling, and other advanced analytics applications.
Systems that process and store big data have turned into a typical part of data the board architectures in organizations, joined with tools that support big data
analytics uses. Big data is regularly portrayed by the three V’s:
• the enormous volume of data in numerous environments;
• the wide variety of data types regularly stored in big data systems; and
• the velocity at which a signi�cant part of the data is created, gathered and processed.
These characteristics were �rst recognized in 2001 by Doug Laney, then, at that point, an analyst at consulting �rm Meta Group Inc.; Gartner further promoted
them after it gained Meta Group in 2005. All the more as of late, several other V’s have been added to various descriptions of big data, including veracity, value
and variability.
Albeit big data doesn’t liken to a speci�c volume of data, big data deployments frequently involve terabytes, petabytes, and even exabytes of data made and
gathered over time.
Why is big data important?
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2. Companies use big data in their systems to improve operations, provide better customer service, make personalized promoting campaigns and make different
moves that, eventually, can increase revenue and pro�ts. Businesses that use it effectively hold a likely competitive advantage over those that don’t because
they’re ready to settle on faster and more educated business decisions
For instance, big data provides valuable insights into customers that companies can use to re�ne their showcasing, advertising, and promotions to increase
customer commitment and conversion rates. Both historical and continuous data can be broken down to assess the evolving preferences of consumers or
corporate buyers, empowering businesses to turn out to be more responsive to customer wants and needs.
Big data is also used by clinical researchers to distinguish disease signs and risk factors and by doctors to assist with diagnosing illnesses and ailments in
patients. What’s more, a blend of data from electronic wellbeing records, social media sites, the web, and different sources gives medical care organizations and
government agencies forward-thinking data on infectious disease threats or outbreaks.
Here are some more examples of how big data is used by organizations:
• In the energy industry, big data helps oil and gas companies distinguish potential penetrating locations and screen pipeline operations; likewise, utilities use it
to follow electrical grids.
• Monetary services �rms use big data systems for the risk the board and ongoing analysis of market data.
• Manufacturers and transportation companies depend on big data to deal with their supply chains and upgrade delivery routes.
• Other government uses incorporate crisis response, wrongdoing prevention and smart city initiatives.
What are examples?
Big Data Sources
Big data comes from myriad sources – – some examples are transaction processing systems, customer databases, documents, emails, clinical records, web
clickstream logs, portable apps and social networks. It also includes machine-created data, such as organization and server log �les and data from sensors on
assembling machines, industrial gear and web of things devices.
Notwithstanding data from inner systems, big data environments frequently join outer data on consumers, monetary markets, climate and tra�c conditions,
geographic data, scienti�c research and then some. Images, videos and sound �les are forms of big data, as well, and numerous big data applications involve
streaming data that is processed and gathered on a persistent basis.
Breaking down the V’s of big data:
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3.
Volume is the most normally referred to as a characteristic of big data. A big data environment doesn’t have to contain a lot of data, however, most do because
of the idea of the data being gathered and stored in them. Clickstreams, system logs, and stream processing systems are among the sources that commonly
produce massive volumes of data on a continuous basis.
Big data also encompasses a wide variety of data types, including the accompanying:
• structured data, such as transactions and monetary records;
• unstructured data, such as text, documents, and mixed media �les; and
• semistructured data, such as web server logs and streaming data from sensors.
Various data types might be stored and overseen together in big data systems. Furthermore, big data applications regularly incorporate different data sets that
may not be coordinated forthright. For instance, a big data analytics task might endeavor to forecast sales of an item by corresponding data on past sales,
returns, online reviews, and customer service calls.
Velocity refers to the speed at which data is produced and must be processed and examined. Generally speaking, sets of big data are refreshed on a genuine or
close ongoing basis, instead of the day to day, week by week, or month to month updates made in numerous customary data warehouses. Overseeing data
velocity is also signi�cant as big data analysis further expands into machine learning and arti�cial intelligence (AI), where logical processes consequently track
down patterns in data and use them to produce insights.
More characteristics:
Looking past the �rst three V’s, here are details on some of different ones that are currently frequently associated with big data:
• Veracity refers to the level of precision in data sets and how trustworthy they are. Crude data gathered from various sources can cause data quality issues
that might be hard to pinpoint. On the off chance that they aren’t �xed through data cleansing processes, terrible data leads to analysis errors that can subvert
the value of business analytics initiatives. Data the executives and analytics teams also need to ensure that they have an adequate number of exact data
available to deliver valid results.
• Some data scientists and consultants also increase the value of the list of big data’s characteristics. Not every one of the data that is gathered has genuine
business value or bene�ts. As a result, organizations need to a�rm that data relates to relevant business issues before it’s used in big data analytics projects.
• Variability also frequently applies to sets of big data, which might have various meanings or be organized distinctively in separate data sources – – factors
that further muddle big data the executives and analytics.
Some individuals ascribe even more V’s to big data; various lists have been made with somewhere in the range of seven and 10.
How is It stored and processed?
Big data is regularly stored in a data lake. While data warehouses are normally based on social databases and contain structured data just, data lakes can
support various data types and commonly are based on Hadoop clusters, cloud object storage services, NoSQL databases, or other big data platforms.
Numerous big data environments join various systems in distributed engineering; for instance, a focal data lake may be coordinated with different platforms,
including social databases or a data warehouse. The data in big data systems might be left in its crude structure and afterward separated and coordinated as
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4. required for speci�c analytics uses. In different cases, it’s preprocessed using data mining tools and data planning software so prepared for applications are run
routinely.
Big data processing places heavy demands on the hidden register infrastructure. The expected registering power regularly is provided by clustered systems that
distribute processing workloads across hundreds or thousands of item servers, using technologies like Hadoop and the Spark processing motor.
Getting that sort of processing limit in a cost-effective manner is a test. As a result, the cloud is a well-known area for big data systems. Organizations can send
their own cloud-based systems or use oversaw big-data-as-a-service offerings from cloud providers. Cloud users can scale up the necessary number of servers
just long enough to �nish big data analytics projects. The business just pays for the storage and �gure time it uses, and the cloud instances can be switched off
until they’re required once more.
How big data analytics works:
To come by valid and relevant results from big data analytics applications, data scientists and different data analysts must have a nitty gritty understanding of
the available data and a sense of what they’re searching for in it. That makes data readiness, which includes pro�ling, cleansing, validation and transformation of
data sets, a urgent �rst step in the analytics process.
When the data has been assembled and ready for analysis, various data science and advanced analytics disciplines can be applied to run various applications,
using tools that provide big data analytics features and capabilities. Those disciplines incorporate machine learning and its profound learning offshoot,
predictive modeling, data mining, statistical analysis, streaming analytics, text mining and then some.
Using customer data for instance, the various branches of analytics that should be possible with sets of big data incorporate the accompanying:
Comparative analysis: This examines customer behavior metrics and continuous customer commitment to analyze an organization’s products, services and
marking with those of its competitors.
Social media listening: This analyzes what individuals are talking about on social media about a business or item, which can assist with recognizing possible
problems and ideal interest groups for marketing campaigns.
Marketing analytics: This provides data that can be used to improve marketing campaigns and limited time offers for products, services and business initiatives.
Sentiment analysis: All of the data that is assembled on customers can be investigated to reveal how they feel about an organization or brand, customer
satisfaction levels, possible issues and how customer service could be improved.
Management technologies:
Hadoop, an open-source distributed processing framework released in 2006, initially was at the center of most big data architectures. The development of Spark
and other processing engines pushed MapReduce, the engine built into Hadoop, more to the side. The result is an ecosystem of big data technologies that can
be used for different applications but often are deployed together.
Big data platforms and managed services offered by IT vendors combine many of those technologies in a single package, primarily for use in the cloud.
Currently, that includes these offerings, listed alphabetically:
• Amazon EMR (formerly Elastic MapReduce)
• Cloudera Data Platform
• Google Cloud Dataproc
• HPE Ezmeral Data Fabric (formerly MapR Data Platform)
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5. • Microsoft Azure HDInsight
For organizations that want to deploy big data systems themselves, either on premises or in the cloud, the technologies that are available to them in addition to
Hadoop and Spark include the following categories of tools:
• storage repositories, such as the Hadoop Distributed File System (HDFS) and cloud object storage services that include Amazon Simple Storage Service (S3),
Google Cloud Storage and Azure Blob Storage;
• cluster management frameworks, like Kubernetes, Mesos and YARN, Hadoop’s built-in resource manager and job scheduler, which stands for Yet Another
Resource Negotiator but is commonly known by the acronym alone;
• stream processing engines, such as Flink, Hudi, Kafka, Samza, Storm and the Spark Streaming and Structured Streaming modules built into Spark;
• NoSQL databases that include Cassandra, Couchbase, CouchDB, HBase, MarkLogic Data Hub, MongoDB, Neo4j, Redis and various other technologies;
• data lake and data warehouse platforms, among them Amazon Redshift, Delta Lake, Google BigQuery, Kylin and Snow�ake; and
• SQL query engines, like Drill, Hive, Impala, Presto and Trino.
Challenges:
Regarding the processing limit issues, designing a big data engineering is really di�cult for users. Big data systems must be custom-made to an association’s
speci�c needs, a DIY undertaking that requires IT and data supervisory groups to sort out a customized set of technologies and tools. Conveying and overseeing
big data systems also require new skills contrasted with the ones that database administrators and developers focused on social software commonly possess.
Both of those issues can be eased by using an oversaw cloud service, yet IT managers need to watch out for cloud usage to ensure costs don’t go crazy. Also,
relocating on-premises data sets and processing workloads to the cloud is frequently a complicated process.
Different challenges in overseeing big data systems incorporate making the data accessible to data scientists and analysts, especially in distributed
environments that incorporate a blend of various platforms and data stores. To assist analysts with tracking down relevant data, data the executives and
analytics teams are increasingly assembling data catalogs that consolidate metadata the board and data ancestry functions. The process of coordinating sets of
big data is frequently also convoluted, especially when data variety and velocity are factors.
Keys to an Effective Strategy:
In an organization, developing a big data strategy requires an understanding of business goals and the data that’s currently available to use, plus an assessment
of the need for additional data to help meet the objectives. The next steps to take include the following:
• prioritizing planned use cases and applications;
• identifying new systems and tools that are needed;
• creating a deployment roadmap; and
• evaluating internal skills to see if retraining or hiring are required.
To ensure that sets of big data are clean, consistent and used properly, a data governance program and associated data quality management processes also
must be priorities. Other best practices for managing and analyzing big data include focusing on business needs for information over the available technologies
and using data visualization to aid in data discovery and analysis.
Collection practices and regulations:
As the assortment and use of big data have increased, so has the potential for data misuse. A public objection about data breaches and other personal privacy
violations drove the European Union to approve the General Data Protection Regulation (GDPR), a data privacy regulation that produced results in May 2018.
GDPR limits the types of data that organizations can gather and requires select in consent from individuals or consistence with other speci�ed reasons for
gathering personal data. It also includes an option to-be-neglected provision, which lets EU residents ask companies to erase their data.
While there aren’t similar government laws in the U.S., the California Consumer Privacy Act (CCPA) aims to give California residents more command over the
assortment and use of their personal data by companies that carry on with work in the state. CCPA was signed into regulation in 2018 and produced results on
Jan. 1, 2020.
To ensure that they conform to such laws, businesses need to painstakingly deal with the process of gathering big data. Controls must be set up to distinguish
controlled data and prevent unapproved employees from accessing it.
The human side of big data management and analytics:
At last, the business value and bene�ts of big data initiatives rely upon the workers tasked with overseeing and dissecting the data. Some big data tools
empower less specialized users to run predictive analytics applications or assist businesses with sending a suitable infrastructure for big data projects, while
limiting the requirement for equipment and distributed software ability.
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Successfully completion of the Al-Muslim Group project
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Successfully completion of the Al-Muslim Group project The Bangladeshi apparel industry Al-Muslim Group is a global leader in readymade
garments products. We have started ERP Implementation at 1st December 2019 and the successfully completion of the project at 30th
November 2021.
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Pridesys IT Ltd. Signed with the Cute Dress industry to implement the ERP. we feel very confident and proud to have a client like the Cute
Dress industry.
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Material Management Module
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Material Management Module eradicates the mismatch of inventories and thus reduces the cost for the business to a larger extent.
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