“How can we use the technologies we may already have to help our users find information?”
This is a question we’ve been hearing from several of our clients, many of whom are assessing big data and advanced analytic tools and technologies in the hope of using them to enable data-driven decision making. In many cases, they have moved beyond the stage of educating themselves about the strategic benefits of big data to implementing foundational data lakes and analytic sandboxes.
However, recently, the conversation tends to shift away from discussions of architecture and Hadoop and more towards next-generation predictive and prescriptive analytics. We believe that big data analytics will become foundational for organizations to fully realize the potential of data-driven decision making. In order to do that, they will need to have in place strong data management operating models, data governance, and data quality.
This does not mean that the human element is being eliminated. Big data analytics will not replace human intervention, but instead will empower and enable people to make decisions based on real-time data.
We at Knowledgent are already working with clients to help them find the information they need to facilitate faster, smarter decision making. We’ve built these types of solutions around metadata and Master Data Management (MDM). Why metadata and master data? We believe that organizations cannot get the most out of big data without having good data. We also believe that if you cannot find your data, it does not exist. Metadata management provides relevant context for data, while MDM ensures that users will be able to trust their data. Together, they enable advanced search and navigation of the enterprise.
What are your thoughts on MDM in a Big Data World? Let us know in the comments!