In today’s digital era, the success of a brand is defined by interactions with customers. It has become a major challenge for marketers. Despite its speedy growth, it is surrounded by lost profits, wasted budgets, and poor targeting and monitoring of the operators in th
In recent years, data analytics has seen exponential growth across multiple industries. The consumer goods and retail industries are among them. The implementation of data analytics in this industry is transforming the way product manufacturers operate, allowing them to
Data analytics has been transforming different sectors for many years, and the QSR (Quick Service Restaurant) sector is one of them. There is an increase in demand for Quick Service Restaurants (QSRs) with the change in consumption patterns, hectic schedules of people, a
Time series analysis produces a series of information in a specific sequence, so it is not the same as other analyses. The added advantage of such analysis is that it takes responsibility for a smoother data-cleaning process in a business. Time series Analysis is an impo
Data Processing: Steps, Types and More In part 1 of this blog post, we discussed data preprocessing in machine learning and how to do it. That post will help you understand that preprocessing is part of the larger data processing technique; and is one of the first steps fr
While analyzing data, you must ensure that it has no errors. Mistakes give a false impression of the overall statistics of the data. To cut down errors, you need to prepare your data. Here's how.
ETL is an integral part of data warehousing. In addition to being complex, it can also be time-consuming. In recent years, reverse ETL has grown in popularity because it is simpler and faster to complete than traditional ETL.
Are you struggling with identity resolution in your business? Learn about the common mistakes that marketers make and how to avoid them!