Research

Abstract: The business success is critical for any organization irrespective of its size. Understanding business value and advanced technology capabilities in Business Intelligence (BI) solutions for analysis and decision making is the need of every management, researchers and analysts.

Data is available at every corner, at every platform and it is being produced all the way using digital equipment. These complex data sets for analysis and decision-making can be used on various platforms and are more accessible than ever to find insights and explanations. There is an abundance of datasets and data analysts, but organizations are still unable to leverage its potential to the fullest and this perhaps is the failure of most data analytics initiatives.

This paper covers the need for Augmented Analytics adoption in companies to maximize business value with respect to added advanced analytics capabilities in BI Tools for effective, accurate and timely decision making, and business analysis. Read more..

Abstract: This study provides a rural viewpoint to the global research and literature on adoption of digital wallet and mobile banking among rural customer. It empirically examines the most influencing factors that stimulating to digital wallet and mobile banking user for service adoption. Primary and secondary data sources are used. A sample of 300 customers was surveyed from the rural areas of Maharashtra state, INDIA. A Simple Random Sampling method is used for selections of area from Maharashtra state and Chi-square testing was used in stated hypothesis. The study concludes that Security-Privacy, Trust and Familiarity has significant impact on Mobile banking adoption. And qualitative factors such has Prestige, Speed, Trust, Safety & Security, Easiness and Familiarity has major influence on rural customer for the adopting of Digital Wallet and Mobile banking services offered from financial institution. Read more..

Abstract: The emergence of IoT has proved to be beneficial to our lives keeping us connected to people and the things around us. The use of such technologies has also changed the way the businesses operate. With the onset of IoT in the telecom industry there seems to a drastic transformation in the way telecom service providers facilitate communication between people and devices. They also implement different models to utilize IoT effectively which in turn adds value to the organization or business. This paper aims to explore the impact of IoT in businesses while focusing more on how IoT data sources can be utilized in the telecom industry. This paper also identifies the different models that can be adopted to utilize IoT more effectively along with the difficulties involved. Read more..

Abstract: The importance of data in business is very vital; because meaningful and actionable decisions can be made only with analyzing the data and these decisions will help organizations to grow further. Both the Business Intelligence and data analytics helps to analyze the data to get the insights from the data deluge. Today, Business Intelligence (BI) and Analytics terms are used interchangeably to some degree. Both the terms generally describe the practice of using Big data to make better business decisions. But are both the technologies actually the same thing? BI and Big data analytics need to be synchronized need to be used together more effectively for better decision making. Both are not the same thing, but they share a lot of the same common goals.

Today Businesses around the world are changing rapidly and the organizations have realize that it not just about customer sales records or it not just about structured data which would otherwise processed, used, analyzed and archived. The goal of BI and Big Data Analytics platform is to explore why, where, what, and how of a sales, customers, products, employees and companies. But, how organizations are coping with these expectations, what is the road ahead for BI, future challenges, opportunities and a need for analytics in BI are documented in this paper. Read more..

Abstract: COVID-19 is one of pandemic community disease. Cycle of COVID-19 is 1 to 14 days. The most widely recognized symptoms of COVID-19 are fever, dry Cough, difficulty in breathing and diarrhea. The safety of the health workers is an important issue. Equipment required for COVID-19 test and certified laboratories where tests are conducted are limited. This paper proposed a perspective model for the prediction of COVID-19 test at early stage based on symptoms. In this perspective model, input sounds of cough are recorded by Smart Voice Recorder and temperature by Bluetooth Thermometer. Classifiers such as random forest tree classifier, decision tree classifier can be used to predict the susceptible population for COVID -19 test on the basis of symptoms. Proposed perspective model will be helpful to reduce the human intervention and use of testing equipment for most infected population. Read more..

Abstract: Rain water harvesting is receiving increased attention worldwide as an alternative source of water especially in drought affected area. India is lucky to be in the tropical monsoon zone and it receives plenty of rainfall during the monsoon season every year. Though the Monsoon brings plenty of water with adequate rainfall as a whole, yet there are large swathes of dry and drought prone areas in the country. Also in many places the quality of groundwater is not good. Some areas having quite even rainfall but there is also problem of a severe scarcity of drinking water. This is because we have rainfall in short spells of high intensity.

Due to this intensity and short duration of heavy rain, most of the rain falling on surface tends to flow away rapidly and leaving very little for the recharge of ground. Therefore, it is necessary to collect and store rainwater. The present study has been undertaken to assess the potential of and Rain Water and Rain Water Harvesting (RWH) technique in the sustainable development of water resources of Pune city although our aim is to proposed Smart Rain Water Harvesting System (SRWHS) Using IoT Enabled Smart Kit for Better Tracking and Management of RWH in Pune City.

The research study is being undertaken to understand the existing RWH system in the Pune city. There is a need of SRWHS but it is also required to consider its potential benefits, challenges, development and effective implementation in the city.

This research research paper highlights the existing RWH system and the proposed design for SRWHS using IoT Enabled Smart Kit and Data Analytics for better monitoring and management of the system. Read more..

Abstract: Business Intelligence (BI) is a system of tools and methods that help in strategic planning and informed decision-making. It is the concept that usually involves the delivery and integration of relevant and useful business information in an enterprise. This process of BI starts with extracting raw data and outputs actionable information that when utilized properly, can provide benefits throughout the enterprise.

When big data is analyzed in combination with traditional enterprise data through BI, enterprises can develop a more thorough and insightful understanding of their business, which can lead to enhanced productivity, a stronger competitive position and greater innovation: all of which can have a significant impact on the decision-making and enterprise growth.

Businesses and the enterprise world are changing. It is no longer just about customer sales data. The goal of an BI and big data analytics platform is to dig deeper into the why, where, what, and how of a customer, product, people and company.

Enterprises are in a real-time competitive fight to know when something happens which will benefit them. For example when customers buy something, where they buy, and what they are thinking before they walk into a store or visit a website. The power of big data, big data analytics, and BI platform can help to find the answers of these questions.

This paper highlights the role of big data in enhancing business value through business intelligence and big data analytics. Read more..

Abstract: Nowadays organizations have more data than ever at their disposal which we generally called Big Data and which is composed of Structured, Semi-structured and Unstructured nature of the data. Today, deriving meaningful insights from that Big data and converting knowledge into action is much easier said than done.The Big data analytics involves examining large amounts of data. To uncover the hidden patterns, correlations and valuable insights so as to make proper business decisions is important for every business organization whether it is small, medium or large. Basically, organizations have realized the need for evolving from a knowing organization to a learning organization. Essentially, businesses want to be more objective and data-driven, and so they are embracing the power of big data and analytics technology.The big data concept has been around us for many years. Businesses are applying analytics on the data they collected so as to gain insights and uncover trends. This involved capturing numbers on a spread sheet and manually examining the numbers.On the other hand Big data analytics is done using advanced software systems and analytics techniques. This allows businesses to reduce the analytics time for faster decision making. Basically, the modern data analytics systems allows for fast and efficient analytical processes. This ability to work faster and achieve agility offers a competitive advantage to businesses. In the meantime, businesses enjoy lower cost using big data analytics techniques. Organizations have invested in big data analytics and they are looking forward to Big Data Analytics in many such cases. This paper highlights how companies are effectively using Big Data in enhancing business value through big data analytics. Read more..

Abstract: Big data is not a new type of data. More recently we have witnessed an amazing progression in amount of data produced from the advent of mainframes to client server to ERP to data warehouses and now everything is digital. For years the overwhelming amount of data produced was deemed useless. But data has always been an integral part of every enterprise, big, medium or small and has now treated as a valuable assets.

While most common applications of big data analytics have been in government and industries including health care, insurance, industrialized and natural resources, transportation services, banking sectors and fraud detection type of applications, and most people associate the use of analytics in these areas – it is hard to find any other area of human endeavor where analytics have not been used to either describe or predict, whether it is research, science and technology or any other area where there is question, historical data relevant to that question and some analytical skills and technology.

Big data also means complexity, security, and risks to privacy, as well as a need for new technology and human skills along with the capabilities like data discovery, rapid data insights and advanced data visualization. There are several areas where government and industries can address big data challenges and finds new opportunities to better serve citizens.

This paper focuses on the unexpected use of big data and analytics along with opportunities and challenges of it in governments and various industry domains. Read more..

Abstract: Big Data refers to massive amounts of data captured by IT systems that are too big and complex to be analyzed and processed using conventional software. Using analytics, companies across the world attempt to get insights into customer behavior and also, in certain cases, solve business problems. 

The use of Big Data and Analytics in the Banking and Financial Services Industry is not a new phenomenon. Big Data represents a huge opportunity for Banks and Financial Services Industry. The ones who will manage to get the best insights out of the huge amount of structured and unstructured data they already have will be able to better serve their customers and comply to new regulations without putting too much hurdle on their employees. 

Banks, have more data about their consumers but relatively very little intelligence about them. The world is increasingly interconnected, instrumented and intelligent and in this new world the velocity, volume, and variety of data being created is unprecedented. As the amount of data created about a consumer by Amazon, Flipkart or other such companies is growing the percentage of data that banks can process is going down fast. The Big Data market is growing exponentially. While banking executives agree that Big Data has the potential to transform their businesses, they are often unsure which Big Data and Analytics Use Cases they should consider when implementing a Big Data solution. While working with banks, Big Data and Analytics use cases can be identified and addressed that are delivering significant business value. 

This paper gives an insight on Big Data and Analytics Use Cases for Banking and Financial Services Industry. Read more..

Abstract: The data held by Government and Public Sector is both a national and government asset. It is also a potential source of opportunity. Governments and the public sector are rich in data that could be used to better serve citizens. However leveraging massive amounts data is at best a complex project. Big data analytics can improve efficiency and effectiveness across the broad range of government responsibilities, by improving existing processes and operations and enabling completely new ones. While Big Data has great potential to make governments and public sector more efficient and effective, there are practical and perception hurdles to clear. Chief among these is ensuring citizens that their data are safe and protected. But government and citizens stand to reap substantial benefits - from streamlining energy production to increasing medical safety to predicting emergencies before they happen.

Big data also means new challenges involving complexity, security, and risks to privacy, as well as a need for new technology and human skills. There are several areas where government can address big data challenges and finds new opportunities to better serve citizens. Big data thus provides plenty opportunities for governments to save a lot of public money.

In particular, government services could be greatly improved through the use of big data and associated analytics. This paper focuses on the transformative potential benefits of big data along with opportunities and challenges of it in governments and public sector domains. Read more..