Data cleaning is process of deleting incorrect, wrongly formatted, and incomplete data within a dataset. Such data leads to false conclusions, making even the most sophisticated algorithm fail.
Building An Easy-To-Understand Data Analytics Dashboard Is Easier Said Than Done Analytics dashboards have evolved over the decades, and now, the latest iteration is the interactive analytical dashboard. With the advent of data analytics, for a business, visualizing the
The Many Routes From Data To Visualization Data visualization makes it comparatively easy for the human brain to comprehend the information, but simultaneously, visualization also helps in detecting patterns and outliers in data sets. The increasing dependence on data has
Even A B2B Business Needs A B2B Customer Data Platform Unlike a B2C company, a B2B company has companies and businesses, not individuals as customers. Not only that, a B2B enterprise has to deal with a lengthy and often intricate buying cycle involving multiple departmen
A recent post on the use of artificial intelligence (AI) to clean data not only elicited tremendous response but CTOs and CEOs wrote in to say they wanted an even more detailed post on dirty data and its consequences. To be candid, we were taken aback by the response. We
In part 1 of this post, we explained what really is poor data and the many ways in which it can impact your business. Now, going ahead, we will learn how data quality can be preserved, and the role of artificial intelligence in helping preserve large data sets. Here̵
5 Popular Data Visualization Tools – A Slideshow
The collection and management of data require the right set of tools to aid the process. But not all data comes in the same form. It can be divided into two – unstructured and structured data. Unstructured and structured data: what’s the difference? Unstructu
The War of the Algorithms: Algorithm-based Marketing Algorithms are biased, opaque, and scalable. Dr. Cathy O’Neil calls them Weapons of Math Destruction in her new book. In particular, those algorithms are used to segment customers into the good, the bad, and the u
