Artificial Intelligence and allied technologies such as Machine Learning, Neural Networks, Natural Language Processing, etc. can influence businesses across industries. By 2030, AI is believed to have the potential to contribute about $13 trillion to global economic activity. And yet, the rate at which businesses are adopting AI is not as high as one would expect. The … [Read more...] about Data Cleaning and Preparation for AI Implementation
data cleansing
5 Reasons Why Businesses Must Invest in Data Cleansing Practices
Data has become digital gold today. As a valuable asset for most businesses whether it is an aggregator startup, small and mid-sized firm, or a global corporate-businesses leverage data-driven insights to roll out multi-channel marketing campaigns. Keeping records of potential leads for immediate use and future reference is a topmost priority for most organizations.As most … [Read more...] about 5 Reasons Why Businesses Must Invest in Data Cleansing Practices
What is Data Profiling and How To Use It To Understand Financial Data?
Businesses - especially financial and insurance companies - invest a lot of resources in gathering data from a wide variety of sources. They also strategize and implement processes that utilize the collected data for making decisions, calculating risks, and forecasting profits. But 24 percent of insurers say that they are 'not very confident' about the data they use to assess … [Read more...] about What is Data Profiling and How To Use It To Understand Financial Data?
Importance of Data Cleansing: 6 Reasons Why the Quality of Data Matters
Data quality is the foundation of many critical business decisions, processes, and functions. For instance, customer experience, analytics, campaign management, reporting, etc., are only possible with good quality data. Keeping a check on the quality of data is, therefore, an important function for organizations regardless of their sizes. This article highlights 6 significant … [Read more...] about Importance of Data Cleansing: 6 Reasons Why the Quality of Data Matters
How To Merge Purge Large Databases
An average enterprise uses 464 custom applications to digitize its business processes. But when it comes to generating useful insights, the data residing at disparate sources must be combined and merged together. Depending on the number of sources involved and the structure of data stored in these databases, this can be quite a complex task. For this reason, it is imperative … [Read more...] about How To Merge Purge Large Databases
