Any journey requires a few things before getting started. Wandering through the forest can be a very pleasant experience, but if you don’t plan ahead and bring your compass and map, what happens if you get lost? (I know, you probably brought your smart phone, which has GPS. But then you find there is no signal, way out here in the forest…). Before starting an adventure like this, you need to prepare and make sure you are ready for any obstacles or unknowns that could occur.
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Is your company suffering from a case of “Bad Data”? Everyone is following the process and doing their job correctly but you still face issues with accurate reporting, operational errors, audit anxiety about your data, etc. Good data should be a given, right?
Well it’s not that easy. In today’s business environment, rapid growth, organizational change, and mergers and acquisitions (M&A) are very difficult to absorb within a fragmented data ecosystem. Multiple disparate IT systems, siloed databases, and deficient master data often result in data which is fragmented, duplicated and out of date.
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Master data management (MDM) efforts often get bogged down quickly due to business thinking that the entire process is owned by IT when in fact they need to set the standards. Knowing how to do that and what real MDM means will help make these efforts become collaborative and smooth to run. This article will answer several questions executives and other business leaders may have regarding MDM, in addition to proposing questions that should be used in order to leverage the full potential of MDM and illustrating real-world use cases. Read more
As we mentioned in a recent article, The Why, What, Who, and How of Successful Hadoop Deployment, there’s a lot you need to consider when implementing Hadoop to manage big data at your organization. Now we’ll build off that perspective and explore the data lake. Like any other new methodology just starting to gain ground in the information management space, there are a lot of assumptions about what data lakes can do and how they tie in with Hadoop-based infrastructures. In this article, we’ll discuss the most essential pieces of knowledge you need to wade into data lakes, dispel some of the rumors around them, and explain how they can fit into your information management ecosystem.
Ironside is a data, analytics, and AI consulting and technology implementation company. We work with clients to understand their business objectives and day-to-day challenges, then employ our deep expertise in data strategy, architecture and engineering, integration, business intelligence, AI, and generative AI. We create technical solutions and practical approaches designed to drive smarter, data-driven decisions across a company and help it move further and faster toward its business goals.