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You’ve undoubtedly heard the term “Self-Service Analytics” thrown around, but what does self-service analytics actually look like in practice? What does a self-service user look like? And what prep work is needed to enable these people to serve themselves?

I spoke with Crystal Meyers, our resident Tableau guru and self-service analytics advocate to learn more. The following is a conversation with Crystal, where she explained some of the nuances of self-service analytics. Read more

At least weekly, I am granted the opportunity to meet and work alongside experienced professionals who serve in a corporate business intelligence (BI) leadership function. When they describe their role upon introduction, there is a common thread to the scope of influence and control which usually intersects one or more of these domains: 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

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

In the world of data and analytics, technical debt is what happens when organizations make conscious decisions to solve short-term problems, even when they know there could be long-term and potentially negative implications around their actions. It exists in every organization, including yours. Not all technical debt is bad, as long as it is strategically planned and tactically paid off. Read more

In the last few weeks, I’ve spoken with three different clients who are struggling with the issue of end user adoption. Each described a routine set of activities, either completed or in process, that you would expect to see in a thoughtful change management program. Nonetheless, all three customers expressed frustration at the lack of user adoption.

Why is this? Do we need to rethink our traditional process for engaging users as we embark on our data and analytics journey?

In a word, yes. 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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CIO and IDG released the 2017 State of the CIO report this week. Their findings are useful not just for the CIO role in general but also for exploring the connection between the CIO and analytics initiatives. Looking at the report through the lens of data and analytics, I had three reactions to the survey results:

  1. CIOs should consider using analytics to drive business innovation, backing up their transformational and strategic activities with concrete resources.
  2. CIOs and line of business leaders should consider communicating even more and syncing expectations through data and analytics.
  3. CIOs should consider investing in a data and analytics roadmap to enable themselves as both business strategists and technicians.

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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

Analytics platform migrations and upgrades are among Ironside’s core competencies. We’ve been doing them since our inception, and we do a lot of them.

Here are four common pitfalls that we’ve seen organizations from a variety of industries suffer from during the process. Read more