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This is part four in our five part series on the essential capabilities of the competitive data-driven enterprise.

5 capabilities_master data management

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 program by name, chances are good that they are doing some form of master data management in your data warehouse, CRM or ERP systems. As the trend towards decentralized data analysis continues to progress we see a few forces in play that make the case for incorporating a master data management capability into your organizational roadmap: Read more

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 excellent at identifying new opportunities (i.e. visualizing gaps or data non-relationships), it is limited in its ability to produce reliable, accurate and conclusive results. This is mostly due to our own human limitations when visually processing more than two dimensions of analysis at a time (e.g. revenue over time by product line). Read more

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 the following ways that highlight the importance of empowering domain and subject matter experts to wrangle and model their own data. Read more

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 access to in their department and proceed to build their analysis. This standard approach assumes that: Read more

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. Read more

One size does not fit all. Try as they might, there is not a single BI platform that can offer every capability that users require. With organizational complexity increasing, and the growing demand for self-service analytics, it has become commonplace, even recommended, for organizations to maintain multiple BI platforms to meet the needs of people in diverse roles with differing needs across the organization. Read more

Governance is the ongoing process of creating and managing processes, policies, and information. This includes strategies, processes, activities, skills, organizations, and technologies for the purpose of accelerating business outcomes. It also involves creating organizations, roles and responsibilities to perform this management. In our experience, many organizations address governance once and often without completing the necessary tasks. Organizations that excel in data and analytics governance continuously manage the process on an ongoing basis. Read more

You walk down the long hall, and tentatively knock on the side of a cubicle, just loud enough to be heard over the din of keyboard clicking. The occupant of the chair slowly spins around. “Yes?”

“So, um, I was wondering about that report I requested…”

“Yes I remember” comes a flat reply. “We’re still looking into it, I’ll let you know in a week, OK?”

The chair spins back around, keyboard sounds resume. Read more

It seems like data and analytics is on the top of everyone’s agenda these days. If you are accountable for providing any type of reporting, business analytics, or predictive analytics, then you are aware of the demands being placed on your time, data, and systems. If you are an executive, you are probably asking questions about your business and waiting for answers and insights. Read more

The recently passed Tax Cuts and Jobs Act will undoubtedly have broad implications across the corporate landscape as updates to the tax code will necessitate major changes to certain financial management decisions. Finance needs a solid FP&A modeling foundation in order to lead tax-related decision making within their organizations. While there are many aspects of the tax code that will require in-depth financial impact analyses, changes to the deductibility of capital expenditures has been a particular area of interest for some Ironside clients that invest heavily in fixed assets. Read more

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