big data analytics

With the growing prominence of big data in contemporary society, businesses are turning to data to guide business decisions, performance enhancements as well as customers’ satisfaction. To get the greatest benefit from their information assets, businesses require strong architectures for observing, planning, structuring and controlling data. This is where both the enterprise data modeling and the Enterprise Data Services come in. Combined, they offer the guidelines for handling the data effectively, thus assisting organizations to improve their performance and bring the desired outcome.    Understanding Enterprise Data Modeling  EDM stands for Enterprise Data which is an approach in which one draws a model of how the data of an organization is maintained, how it is related and how it is processed. This serves as the roadmap of how information is gathered, managed and used in the different parts of the organization and systems. It offers better perspective and central con...

In the current technological era organizations are faced with large volumes of information that is being produced from many sources. The solutions, which have come to be applied in making sense of large volumes of data include big data analytics and master data management (MDM). Despite the fact that both work in different fields, their combination can be effective for organizations that need high accuracy and efficiency as well as strategic development.    Understanding Big Data Analytics   Big data analytics is the action of analysing big data to reveal hitherto unknown patterns, relationships, and trends. It employs intricate means of handling and analysing structured and unstructured data in big proportions. It assists organizations in managing risks, understanding customer behaviour, increasing its organizational efficiency, and gaining a competitive advantage.    Big data analytics focuses on four main characteristics: and these are volume, velocity, vari...

These days, the term known as ‘Big Data’ is frequently used. But what does it really mean, and why is it important? Here is how I want to explain ‘ big data analytics ’ so that anyone can grasp its usefulness.    What are Big Data Analytics? Big Data can be described as a massive volume of data channelled in various formats around the clock through social media, online purchase, sensors, and others. Such data is predominantly big and intricate to be processed by conventional techniques.    Big Data Analysis is defined as the evaluation of these huge datasets in order to identify some interesting patterns or trends. I liken it to the hopeless task of looking for a needle in a haystack and this ‘needle’ is the valuable information that enterprises can use to make huge accurate decisions. How does big data analytics Operate?  Data Collection: The first process of creating this program shall, therefore, involve data collection from various sources. This may well be ...

In the information age knowledge and information are two characteristics that organizations receive a sheer volume of information from different sources. As more such data are produced, the challenge of making sense of these figures becomes even more critical. Big Data and the system of Master Data Management are two main sub-processes that contribute to effective management of big data. In their own right, they deliver value but, when linked together, there are large gains to be made in terms of data reliability, decision making and organizational performance.    Big Data Analytics is a process of analysing big and heterogeneous data to find out useful and meaningful information such as patterns, associations, trends and many more. The data can be collected through various sources like social media, sensors, transactional systems, and many other streams. These are some of the factors that make big data analysis to be unique; the amount of data is large, and it comes in variou...

Big data is not just a trendy phrase witnessed in the current society given the reality that it impacts many organizations and firms globally. It is the analysis of big and heterogeneous data to discover such paradigms that are new, tendencies, requirements or anything that might be pertinent in the market. There are several possibilities that may be obtained as the result, including the improvement of business performance, customers’ satisfaction level, and internal processes, as well as the new profit streams.    What is Big Data?  Big data by definition therefore implies large volumes of data which cannot efficiently be processed by conventional data processing methods. These data sets come from various sources: Creation of web OPs, sensors, digital consignments, weblogs and many more formations. The problem is not in the availability of the big data, but the volume, velocity and the variety of the master data management that makes it difficult to manage it in the mod...

It is possible to state that business data today can be discussed as one of the greatest organization’s resources along with the digitalization perspective. Organizations nowadays are involved in data collection from the internal and external environment to a great extent and hence the problem of data management arises. Enterprise data modeling and Enterprise data services are subcomponents, which are responsible for structuring and organizing the company’s data appropriately and making them as accessible and usable for the organization as possible. Altogether, they provide a technique to manage the data and help in achieving organizational goals and enhance the decision-making execution.     Enterprise Data Modeling     Business data modeling can be defined as the act of creating documentation of the organization’s structures of data. This includes the determination of the structure of the data in relation to entities, their characteristics, the relationsh...