Posts

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

The simple truth about data warehouses is that the traditional “big bang” method of building them doesn’t work for most organizations anymore. The diversity of data sources and formats we can access is constantly expanding, and taking them all on at once to form a single central repository results in a massive project that can take years to show value. That doesn’t mean we should throw out the concept of data warehousing altogether, though. In fact, there’s a better way to do it that is built on proven development practices, provides value as you go, and feels like less of a massive undertaking: an iterative data warehouse. Read more

IT and business leaders share a common goal – to leverage the data available to them in order to make more informed business decisions. The first step to achieving that goal is to create a data & analytics roadmap, a task many companies find daunting. Where do you begin?

 

“Most organizations are ineffective in communicating data & analytics-related concepts across departments, resulting in suboptimal management and utilization of information.”

– Doug Laney, Gartner Blog Network

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Data governance is a common need across organizations, and can be a very challenging subject to tackle. Understanding data governance’s components, what good governance looks like, and the drivers behind adopting it is essential to creating a successful governance effort. Read more

Creating a data and analytics roadmap is an important first step in helping your organization utilize data to achieve growth, understanding, and action. But often we hear from clients that their roadmap isn’t leading them to their desired destination. While many are successful in laying out the technical requirements, identifying the path to business outcomes, and building the right foundation, they still find themselves unable to make sufficient progress towards their goals. Read more

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

Ironside hosted a webinar on IT-Driven vs. User-Driven Analytics: How to Coexist. Rob Minogue, Director of Advisory Services and Scott Misage, Business Analytics Practice Lead, presented on how to bridge the gap between IT-Driven analytics and User-Driven analytics and innovative approaches to monitoring and governance.

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