Data quality is essential for delivering reliable analytics that business users and decision-makers trust. Organizations should assess their data to ensure it meets their quality standards. Data quality management (DQM) is the practice of using data to serve an organization’s purposes with flexibility and agility. An assessment can also find gaps in data, such…
If you haven’t already seen Astrid Eira’s article in FinancesOnline, “14 Supply Chain Trends for 2022/2023: New Predictions To Watch Out For”, I highly recommend it for insights into current supply chain developments and challenges. Eira identifies analytics as the top technology priority in the supply chain industry, with 62% of organizations reporting limited…
Market basket analysis, also referred to as affinity analysis, uses machine learning to increase sales by analyzing customer purchasing patterns. You can use market basket analysis for analyzing large data sets, such as purchase history, to reveal products and product groups, that customers are likely to purchase together. Market basket analysis is a very valuable…
For many years, companies have been accumulating large amounts of data with an intuitive feeling that it has value and would be put to good use to make more informed business decisions. As we transition into a new era where machine learning and artificial intelligence are enabling more robust analysis of a company’s data…
