Author: Jayendra Konduru
Secure your data by Fraud Detection AnalyticsWhat is Fraud Detection Analytics?Fraud detection refers to the detection of potential or actual fraud in a company. In its anti-fraud strategy, it needs a robust process and system to discover frauds sooner and before they happen, utilising either reactive and proactive methods or automated/manual fraud prevention and detection analytics. Traditional data analysis approaches have been used to detect fraud for a long time. These methods necessitated much research and time, and they dealt with a wide range of topics, including economics, law, finance, and business procedures. https://www.meaningcloud.com/wp-content/uploads/2014/10/insurance-fraud-detection.jpg Banks, telecommunications corporations, and insurance organisations…
Understanding Real-Time AnalyticsThe process of processing and measuring data as soon as it enters the database is referred to as real-time analytics. In other words, users gain insights or can draw conclusions as soon as the data enters their system (or very soon after). Businesses can react quickly using real-time analytics. They have the ability to seize opportunities and prevent issues before they occur. Businesses lose money due to delays in decision-making and operations. Real-time analytics overcomes this problem by allowing company leaders to make decisions based on rapid and actionable data insights. This means that businesses can avoid costly…
Smart way of using predictive analysis: What is predictive analysis? Predictive analytics is a type of data analytics that uses historical data and analytics techniques like statistical modelling and machine learning to make predictions about future outcomes. Predictive analytics is a science that can generate future insights with a high degree of accuracy. Any firm may now use historical and present data to predict patterns and behaviours milliseconds, days, or years in the future with the use of advanced predictive analytics tools and models. The predictive analytics process starts with establishing business objectives and datasets to be used, then developing…
Ever wonder how GIS works!? What is GIS? A geographic information system (GIS) is a computer system that generates, manages, analyses, and maps various types of data. GIS connects data to a map by combining location data (where things are) with various types of descriptive data (what things are like there). This lays the groundwork for mapping and analysis, which are used in science and almost every industry. GIS assists users in comprehending patterns, relationships, and geographic context. Improved communication and efficiency, as well as better management and decision making, are among the advantages. GIS allows you to compare and…
What is Data Governance and Data Quality and how is that useful to us: Introduction: Organizations generate massive amounts of data at breakneck speeds in today’s connected environment. However, regardless of the size of the data environment that houses all of this data whether it’s a traditional data warehouse or a big data environment like a data lake the common denominator is raw data, which is ingested from multiple internal and external sources and is typically of unknown quality. Many organisations struggle with deciding which step to take first in their data environments: data quality or data governance, as they…
WHAT IS AI? Artificial intelligence (AI), the ability to perform tasks commonly associated with intelligent beings by a computer-controlled robot or digital computer. The term is often used in the development of systems that are equipped with human intellectual processes like the ability to understand, find meaning, generalize or learn from previous experience. Since the development of the digital computer in the 1940s, computers have been shown to work very complexly In other terms, artificial intelligence (AI) is a broad discipline of computer science concerned with the development of intelligent machines that can perform activities that would normally need human…
GET TO KNOW ABOUT “DATA MODELING”Data modelling, at its most basic level, is the process of visualising and representing data in preparation for storage in a data warehouse. The model is a representation of the data, data relationships, and rules in a conceptual form. Data and its relationships can be represented using diagrams, symbols, or text in the modelling process. Because of the structure that data modelling imposes on data, the process improves data analytics while also increasing uniformity in nomenclature, rules, semantics, and security. Simply put, data modelling is the process of storing data structurally in a database format.…
A GUIDE TO DATA ARCHITECTUREWHAT IS DATA ARCHITECTURE:Data architecture refers to a set of goods and technologies that a company utilises to manage its data. But there’s a lot more to it. The processes for capturing, transforming, and delivering usable data to business users are defined by a data architecture. Most importantly, it identifies the people who will consume the data, as well as their specific needs. From data consumers to data sources, a strong data architecture flows right to left. https://statswiki.unece.org/display/hlgbas/2018+Modernisation+Updates The data architecture is entirely accountable for a company’s ability to migrate throughout the globe. If agility is…
LEARN “SEO” TO BOOST YOUR ORGANIZATION WHAT IS SEO? SEO stands for “search engine optimization”. The term “search engine optimization” refers to the process of optimizing a website for search engines. In basic terms, it refers to the process of upgrading your website in order to boost its exposure when consumers use Google, Bing, and other search engines to look for products or services linked to your company. The higher your pages rank in search results, the more likely you are to attract new and existing clients. The art and science of getting pages to rank higher in search engines…
WHAT IS DATA MINING? The practice of collecting information from a given data set in order to uncover trends, patterns, and useful data is known as data mining. The goal of data mining is to make data-driven judgments based on massive data sets. Predictive analysis, a branch of statistical science that uses complex algorithms to solve a specific set of issues, works in tandem with data mining. Predictive analysis first finds patterns in massive volumes of data, which data mining then generalizes to make predictions and forecasts. Data mining has a singular goal: to identify patterns in datasets for a…