Today every organization contains data of different forms pouring in from different systems. Hence, the existing system may need to be upgraded to a larger one or its data may need to be relocated to another plan. How about data migration, though? How does it...
Data Management, Data privacy & Big Data Analytics
How Business Data Analytics Benefits Organizations?
Recent years have been revolutionary with respect to big data and the Internet of Things (IoT). Both of them have had large impacts in a variety of areas, including business, digital marketing, and healthcare. And with the extremely large amount of data at our...
Why Is Data Analytics In Healthcare Relevant?
Data is flooding the planet. Just to put that into perspective, did you know that Forbes reported a 5000% increase in the growth of data between 2010 and 2020? And that is not the end of it. And the importance of data and data analytics really hits home when you...
Data Governance Framework: Key Benefits and Importance
Every organization is led by a set of business drivers, which are crucial elements or procedures for the ongoing success of the company. A data governance framework is a set of rules, methods, and role assignments to maintain data accessibility and usability while...
Data Integration Solutions: Benefits And Key Features
The world is constantly going through a change that is a digital wave establishing technologies left and right, bringing a new horizon in favor of data at its core. This has also led to technology becoming an integral part of our lives, and along with that, the...
What Does It Mean to Have Chatbots for Insurance Agents?
AI-driven automation has been the aim of many enterprises across industries over the past several years, and recent events such as the COVID-19 pandemic have only acted as catalysts that emphasize this priority. The insurance sector is not untouched by this trend...
Predictive Data Analytics: Importance And Use
A subset of advanced analytics called predictive analytics uses historical data along with statistical modeling, data mining, and machine learning to forecast future results. Utilizing trends in this data, businesses use predictive analytics to spot dangers and...
Key Steps And Importance of Data Quality Strategy for Businesses
The modern business world has organizations collecting customer data through several channels and maintaining contact records across various databases. But simply having access to this data is not enough as it is also essential to proactively the validity and...
Steps of Data Migration Strategy
Most businesses today are driven by big data. This has made it necessary for data integration and data migration to be a well-established, seamless process. A competent data migration strategy is a great way for businesses to run operations smoothly without being...
Steps of Data Migration Strategy
Most businesses today are driven by big data. This has made it necessary for data integration and data migration to be a well-established, seamless process. A competent data migration strategy is a great way for businesses to run operations smoothly without being...