by Dylan Lamb | Jul 3, 2023 | AICA, Dirty Data
It is no question that businesses are finding themselves in an ocean of data, struggling to navigate towards the shores of insight, analytics, and intelligence. What’s concerning is that even though millions are being invested in data management solutions, a...
by Dylan Lamb | Jan 5, 2023 | Dirty Data
Data is one of the most valuable resources for any business or organisation, but it can be difficult to ensure that the data is clean and accurate. Dirty data can cause serious problems for a business, including inaccurate analysis, financial losses, and decreased...
by Dylan Lamb | Jan 5, 2023 | Dirty Data
What Is Dirty Data ? Dirty data is a major issue in data management and can have serious consequences for businesses. Dirty data is any data that is incomplete, inaccurate, or duplicate. It can be caused by a variety of factors, ranging from human error to inadequate...
by Dylan Lamb | Dec 5, 2022 | Dirty Data, SEO
SEO stands for search engine optimisation, and it’s the process of getting your site or business to show up in search results on Google and other sites. SEO is important because it helps you connect with people who are looking for your product or service—and get...
by Dylan Lamb | Nov 17, 2022 | Data Cleansing, Dirty Data
Many businesses worry about the data that is published for public consumption, but few realise how damaging it can be to the internal business operations when it includes incorrect information.Inaccurate, incomplete and duplicated data can affect the internal...
by Dylan Lamb | Oct 31, 2022 | Dirty Data
What Is Dirty Product Data? Dirty product data is a term that describes inaccurate or incomplete information in the database of a company. It’s not just dirty data, it’s bad data. The problem with dirty product data is that it can cause issues in your...
