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Improving Data Quality with Data Stewardship

To get value from data, data stewards must understand and apply business requirements. When business ambiguity arises about how to best serve data stakeholders, data stewards need to know how to find out this information and with whom to speak. By doing so, stewards can align fit-for-purpose data with business needs and improve data quality. Data stewards understand […]

Future-Proofing Your Data Strategy: A Deep Dive into Data Engineering Trends

Businesses today rely heavily on data and strive to harness its full potential while navigating a constantly changing landscape. The secret is to combine smart analytics with a strong data engineering strategy. As we continue into 2024, data engineering trends and insights will continue to be critical for businesses hoping to prosper in this cutthroat industry. Future-proofing […]

A Deep Dive into Data Strategy: Accelerating AI Adoption for Businesses

In today’s digital age, vast amounts of business data are gathered from different sources. Even when organizations strategically invest in analytics tools, they still face challenges in the form of data silos, unstructured data management, and failure of business-driven insights from tools. To combat these challenges, more businesses are revamping with data strategy to seamlessly […]

Evaluating Enterprise Data Literacy

Any organization that aims toward complete digital transformation must move toward enterprise data literacy. So, what exactly is data literacy? Gartner defines data literacy as: “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied – and the ability to describe the […]