Introduction Master 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…

Data catalogs are here to stay and a great asset to data-driven organizations. But how do you best implement a data catalog? In this episode, Rupal Sumaria joins us to explore how to implement a data catalog. …

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. …

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. …

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…

Change is the only constant in business, and it’s up to leaders to make sure their employees are on board with it. If your company wants to succeed in today’s rapidly changing environment, it’s critical that employees learn how to adapt and thrive in the face of change. …

The process of creating a successful data strategy depends on key players of the organization. For the business to succeed you need a data strategy that is in line with the business strategy, of course keeping in mind the business goals, vision, and mission. Data strategy has key pillars such…

“The ability to effectively communicate and telling a story with data is no longer a luxury in today’s economy; it is a necessity.” …

What does the future hold for data? Today, it is everywhere. Our world is filled with it: from the data that we generate ourselves, to the data that is generated by machines. It’s in our pockets, our cars, our homes, and even in our offices. Consequently, there’s an opportunity to…