Your Data’s GPS: Navigating Modernisation with Precision

In this episode of the Don’t Panic, It’s Just Data podcast, Kevin Petrie, VP of Research at BARC, is joined by Nidhi Ram, Vice President of Global Services Strategy and Operational Excellence at Precisely. The duo explore the idea of focusing on data modernisation and improving accessibility rather than constantly implementing new technologies.Both Petrie and Ram highlight the importance of traditional mainframes, especially in modern data strategies. They delve into how companies can combine cloud tools with data in order to handle diverse data systems. This removes the need for replacing the mainframe, keeping the data accessible for all users.Going into the critical role of data quality and governance — especially in the age of AI — Ram emphasises that “garbage in, garbage out” has never been more relevant, as AI outputs are only as good as the data feeding the model.What's needed is a more comprehensive approach to data integration, quality, governance, and enrichment that helps ensure data is always ready for confident business decisions.Listen to this latest episode to learn how Precisely’s Data Integrity Suite provides a comprehensive approach to data modernisation.TakeawaysData modernisation is about accessibility, not technology.The mainframe continues to play a crucial role in data strategies.High-quality data is essential for successful AI initiatives.Data governance is critical to comply with regulations and ensure data quality.Cloud solutions offer flexibility, but on-premise systems provide control.Companies need to adapt to a heterogeneous data environment.Integrating people and processes is key to successful data programs.Future data roles will require broad functional knowledge rather than deep technical skills.Chapters00:00 Introduction to Data Modernization02:56 Understanding Data Modernization06:01 Challenges in Data Modernization08:53 The Role of AI in Data Strategies11:56 Data Quality and Governance15:08 Cloud vs On-Premise Data Solutions18:14 Adapting to Diverse Data Environments20:47 Advice for Modernizing Data Strategies23:58 The Importance of People and Process27:07 Future Skills for Data TeamsAbout PreciselyPrecisely is a leading global data integrity provider, ensuring organisations have accurate, consistent, and contextual data. In today's data-driven world, where businesses rely on information for critical decisions, data integrity is crucial. Precisely offers a comprehensive portfolio of solutions designed to transform raw data into a reliable asset.Trusted by over 12,000 organisations in more than 100 countries, Precisely plays a critical role in helping businesses effectively leverage their data. By providing reliable software and strategic services, Precisely empowers organisations to confidently embark on their AI, automation, and analytics initiatives. High-quality, trustworthy data is the bedrock for successful AI models, efficient automation processes, and insightful analytics. Without it, these initiatives risk delivering inaccurate results and misleading insights. Precisely's commitment to data integrity allows businesses to make confident decisions and achieve strategic objectives.

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