Data management is a critical aspect of modern organizations, as it helps organizations make better decisions and improve their operations. A data management framework is a set of guidelines, policies, and procedures that organizations use to manage their data. A data management framework typically includes processes for data governance, data quality, data integration, and data …read more

IntroductionMaster data management (MDM) is a critical aspect of modern data management practices. MDM is the process of creating, maintaining and governing the master data, which is the core data that is used to support an organization’s business processes and operations. Master data is typically shared across multiple systems and applications, and is used to …read more

Our guest today is Ashish Patel, Chief Data Scientist at IBM. He’ll share his story, how to get into the field and best practices to follow as a business data scientist. He’ll also tell us why the agile methodology is not the best to use for ML/AI projects, what are the important things to follow …read more

A data-driven organization recognizes the importance of collecting raw data and understands that it shouldn’t make business decisions using raw data alone. Instead, they collect, analyze and derive insights from data to address business problems, identify new growth opportunities, and drive profitability. In essence, data-driven organizations use data for several use cases, such as analyzing …read more

With the fast-paced growth in data professionals: Data scientists, analysts, engineers,  and the lines between data roles being blurred, measuring and communicating the ROI of data teams is no easy feat. But given the large investment in this area, understanding this value presents an existential question for the data industry. Holistically, to understand the ROI …read more

In this digital age, the growth and success of businesses depend on the utilization of data. According to a 2020 report by Experian, 98% of organizations say that having high quality data is extremely important in achieving their company objectives. While data is a valuable asset, historically it has been controlled by in-house IT teams. Data …read more

How to get started with Data Governance when the odds are against you?In the past few years I have been asked to introduce data governance at several clients. It became obvious there is not a magical method that would allow you to be successful in this task. The approach you should take, depends a lot …read more

If you’re looking to get a start in Data Governance, but you’re… well, not sure where to start! We’ve done some of the hard work for you by identifying the top ten Data Governance courses! Not only that, but we’ve also summarized them and identified what sets them apart and what you’ll get out of it …read more

Learning and acquiring the skills required to be a data scientist can be hard and sometimes cost-prohibitive. Some courses and some tools are definitely expensive. But you shouldn’t let this deter you from achieving your goal of becoming a data scientist or improving your existing skill set. There are some great FREE resources out there …read more