Data Analytics Insights

The insurance industry is fraught with danger. Navigating tricky claims procedures, pricing and promotion, risk mitigation, cash repression, natural perils, and ensuring compliance are some of the industry’s most complex challenges. Insurance companies have traditionally relied on statistics and data to drive their decisions, owing to the massive amount of daily data generated in this […]

For businesses in data-intensive industries to make decisions quickly, they need to invest in support systems that help them make well-informed, important decisions. Energy, commodities, agriculture, shipping, mining, insurance, finance, renewable energy, oil and gas, and utility businesses all need data support systems that give them high-quality and up-to-date information. This information can directly affect […]

Data is generated every second, whether you use the internet to learn about a specific topic, conduct financial transactions online, order food, or anything else. The use of social media, online shopping, and video streaming services has all contributed to the increase in data. According to Domo’s research, every human will generate 1.7MB of data […]

What is data mining? Data mining is the process of sorting through large data sets to identify patterns and relationships that can aid in the resolution of business problems through data analysis. Data mining techniques and tools enable businesses to forecast future trends and make better business decisions. Data mining, which uses advanced analytics techniques […]

I’m sure we’ve all faced the problem of determining the best data visualization for our data sets. The correct data visualization will increase the impact of data storytelling and informed decision-making. Business intelligence platforms for large companies, like PowerBI, help visualize large amounts of data in the best way possible. What is PowerBI? Microsoft PowerBI […]

Big data drives most modern businesses, and big data never sleeps. That means data integration and data migration must be well-established, seamless processes, regardless of whether the data is migrating from inputs to a data lake, from one repository to another, from a data warehouse to a data mart, or in or through the cloud. […]

People outside of IT can now analyze and create data visualizations and dashboards on their thanks to the rise of self-service BI tools. That was great when the data was ready for analysis, but it turned out that most of the time spent developing BI applications was spent on data preparation. It still does, and […]

Organizations may benefit from real-time data analytics applications such as faster decision-making, increased business agility, better customer service, and more. When consulting with clients a few years ago, I would have stressed the importance of distinguishing between real-time and right-time data. Why deploy expensive real-time data analytics tools to deliver updates every few seconds if […]

Advanced analytics is a data analysis methodology that analyzes business information from various data sources using predictive modeling, machine learning algorithms, deep learning, business process automation, and other statistical methods. Beyond traditional business intelligence (BI) methods, advanced analytics uses data science to predict patterns and estimate the likelihood of future events. This, in turn, can […]

Data visualization translates information into a visual context, such as a map or graph, to make data easier for the human brain to understand and extract insights. The primary goal of data visualization is to make identifying patterns, trends, and outliers in large data set easier. Information graphics, information visualization, and statistical graphics are all […]