In the modern business landscape, data is often considered one of the most valuable assets a company can have. It drives decision-making, informs strategy, and helps companies understand their customers and market. However, the effectiveness of data is heavily dependent on its quality. This is where data cleansing becomes crucial. Data cleansing, or data cleaning, […]
Big Data in Healthcare Industry: Benefits, Challenges, and Use Cases
The healthcare sector inherently thrives on innovation, given that the global well-being and lives of individuals hinge on the effective integration of cutting-edge technologies within medical facilities. Among the transformative forces transcending multiple industries, Big Data has redefined the collection, utilization, and retention of information, with healthcare being no exception. The incorporation of Big Data […]
Why Do Data Analytics Initiatives Still Fail?
Strong data analytics is a digital business imperative — and it all begins with data governance, the right strategy and an emphasis on data-conscious culture. Data and analytics remain top priorities for organizations in the digital era, with 37 percent of IT leaders saying that data analytics will drive the biggest chunk of their IT […]
How Fashion Can Stop Greenwashing By Cleaning Dirty Data
Here are three ways businesses can clean up their dirty data to improve the accuracy of their ESG reporting. Regarding sustainability and corporate social responsibility, the fashion industry is one of the most scrutinized and criticized in the world. Too often, fashion brands attempt to improve their environmental, social, and governance (ESG) reputation through greenwashing, […]
Overcoming Challenges of Data Integration in Healthcare
How many people go to the doctor every year? While healthy people go once a year, patients with debilitating diseases may visit multiple specialists daily. This fact, combined with the world’s population of around 8 billion people, results in many healthcare records being created yearly. The amount of healthcare data available for analysis is enormous. […]
Why Can Cloud Data Warehouses Help Save Cost?
Data is essential in today’s organizations. They analyze a large amount of data at various speeds and make well-informed, data-driven, more accurate, and reliable decisions. However, legacy data warehouses built decades ago may be incapable of solving modern-day problems and meeting current demands. With data growing exponentially, businesses worldwide will require a cloud-based infrastructure to […]
A quick guide to Data and Analytics Modernization
Analytics modernization – you must have come across this term in some way. In a rapidly digitizing world, data is the most valuable asset. Companies want to use available data to make error-free, timely decisions, perform better analyses, and stay ahead of customer expectations. To stay ahead of the competition, every organization prioritizes data and […]
6 Use Cases of Advanced Analytics for the Insurance Industry
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 […]
Advantages of Outsourcing Data Management Services
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 Processing: Cycle, Types, Methods
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 […]