Metadata has long been an essential part of every successful organization’s analytics strategy. In this article, I sat down with two of Ironside’s foremost experts on the topic to discuss its origin and value and how two of the industry’s leading vendors in the analytics space address this core capability in a bimodal analytics world.
Susan Ma and Suresh Edara are both long-time Ironside consultants with deep expertise in top BI toolsets: Microsoft and Cognos.
Read moreFrom time to time every professional should take a step back and assess where they have been, where they are today and where they want to go. The Office of Finance is no exception. As we begin to plan for next year, we spent some time reflecting on what CFOs and their teams are tasked with. Based on our team’s collective experience in working with the Office of Finance, we have developed what we believe are key principles to succeed going forward. Read more
When asked “What’s your data strategy?” do you reply “We’re getting Hadoop…” or “We just hired a data scientist…” or “If we only had a data lake, all our problems would be solved…”? Plotting a good data strategy requires more than buying a tool, hiring a resource, or adding a component to your architecture. You need something to describe:
In the first installment of our series on bimodal analytics, we talked about the origins of Mode 2 analytics. We looked at some of the challenges around implementing true bimodal analytics within IBM Cognos Analytics 11 and touched on some of the vendors who were born as Mode 2 platforms. This second installment will focus specifically on how to enable Mode 2 analytics within the organization using Cognos.
Read moreEarlier today the AWS team unveiled two new capabilities for QuickSight, Amazon’s signature Business Intelligence tool. Speaking live from the AWS re:Invent conference at the Venetian in Las Vegas, the four hosts announced the ability for users to easily embed QuickSight dashboards in applications and previewed new native Machine Learning capabilities. Read more
Outcomes are important for any Finance organization. There are many means to the end in working within the Office of Finance. Working with the right people to implement the plan and monitor the plan is one method. Building up processes to keep the focus on the right activities is another. The tools utilized to support people and the processes is another important factor. All three create the means to the end for the team. Read more
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
Last week at Analytics University, IBM formally announced the release of the next major version of Cognos Analytics, v11.1.
IBM has hinted at the inclusion of “smarts” for “augmented analytics” and improvements in the usability of this new version over the past year. Our expectation was that these improvements would continue to “modernize” Cognos and help address some of the competitive pressures that organizations with legacy investments have been encountering in recent years. Read more
Well in advance of the IBM acquisition of Cognos, the Cognos name was synonymous with powerful, trusted enterprise business intelligence and managed reporting. Between its ability to scale to meet the needs of the largest enterprises, its robust, governed metadata layer that made it possible to report against a vast array of different data sources, powerful reporting capabilities churning out highly complex managed BI reporting solutions, and ad-hoc reporting and analysis against those governed data sources, IBM Cognos was the answer for almost all enterprise reporting needs. Until it wasn’t.
Read moreThe last several years have represented an interesting journey for organizations and teams leveraging Cognos for analytics. During that time, visual data discovery tools have made a significant impact. However, as of late, we have seen the pendulum swing back to concepts introduced by enterprise BI tools long ago.¹ What’s old is new again.
When these new tools arrived, they challenged both the status quo and what many of us saw as an ideal solution to the localized, ungoverned, manually-intensive, and often error-prone data manipulation (i.e. “shadow analytics”) processes of the past. If we think back to the dawn of the modern business intelligence age in the mid 1990’s, we realize that these challenges are what tools like Cognos were developed to solve. Read more
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