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The process of creating a new fiscal year budget or long range plan, especially for Higher Education, tends to be overly complex, fraught with strategy misalignment and riddled with errors. I know this all too well as a former Budget Manager at Montclair State University, New Jersey’s second largest institution. Later, I became an implementer […]
We’re often asked how “our methodology” helps drive better user adoption. The key to user adoption is satisfying users’ needs, within the context of their environment. This sounds obvious, but it’s surprisingly easy to miss the mark. And all too often, projects are doomed from the beginning…with the requirements.
Any discussion of Master Data Management automatically includes a discussion of Data Governance. The two go hand in hand. Successful MDM implementations require understanding data ownership, stewardship, and security, as well as determining business rules to be applied to the data. Specific business rules usually include rules for matching and consolidating data items as well […]
I hope no fists are flying at your office over budgeting and forecasting, however conflict is likely to occur. In this case, opinions and facts from different stakeholders can help. At the same time, impactful decisions at organizations that can affect the direction over days, months and years are derived from the better outcomes. The […]
This is part five in our five part series on the essential capabilities of the competitive data-driven enterprise. Over the last 20 years of doing business we have seen a number of different analytical data storage and query concepts fall in and out of favor. Throughout this time, a wave of digital transformation in business […]
This is part four in our five part series on the essential capabilities of the competitive data-driven enterprise. Businesses have been deploying enterprise data governance (defining what the data should be) and master data management (ensuring the data is as defined) programs for decades. Even if your company doesn’t have a formal master data management […]
This is part three in our five part series on the essential capabilities of the competitive data-driven enterprise. Most business analysts will reach for their favorite data visualization tool when it comes time to perform driver and correlation analysis when in search of a cause. While this technology is essential for communicating with data, and […]
This is part two in our five part series on the essential capabilities of the competitive data-driven enterprise. For decades, data integration and modeling have been done in either of two likely places: The enterprise ETL or Data Warehouse environment (IT Developers) or Excel (Analysts). Currently the status quo is being challenged in some of […]
This is part one in our five part series on the essential capabilities of the competitive data-driven enterprise. The most common form of data-enabled business problem solving begins with a hypothesis around business drivers and relationships within the data. Typically, a well tenured business analyst will pull together the data they know about or have […]
If your organization is seeking to better manage its information as a corporate asset that is to be valued and capitalized, you’re likely focused on implementing programs that will catalyze measurable business results from mountains of business information that may be the product of the last decade or more of digital transformation initiatives.
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.
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