Posts

Last spring, I had the opportunity to attend a local analytics conference with Dr. Claudia Imhoff as the keynote speaker. As she got on stage to begin her presentation, she started out by making a statement along the lines of “For every time the phrase ‘Big Data’ is mentioned today, we will all take a shot during happy hour.” 

(Tip: Don’t try that for this article.)

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In previous releases of Cognos Analytics, we have seen a trend of integrating many of the features of metadata modeling in Framework Manager into the Cognos Analytics interface. This trend is continuing with new or improved modeling capabilities being incorporated into Cognos Analytics 11.1 Data Modules.

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Customer segmentation is defined as “the process of dividing customers into groups based on common characteristics so companies can market to each group effectively and appropriately.” By using the correct attributes to define the customer segment, it allows companies to identify the right customers for targeted and relevant offers. Those who successfully define and maintain customer segmentation can derive a competitive advantage from the implementation by improving customer experience.

However, there are potential pitfalls that can reduce the effectiveness of a customer segmentation initiative. This article will identify the pitfalls and propose solutions in order to improve the chances of a beneficial customer segmentation project.

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With the maturing and ever increasing acceptance of the cloud across multiple industries and the data gravity gradually moving to the cloud, i.e. more data being generated in the cloud, we are seeing some interesting cloud-based data and analytics platforms offering unique capabilities. Some of these platforms could be disruptive to the established market leaders with their innovative thinking and ground up design that is “born in the cloud and for the cloud.”

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From 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:

  • the goals you are trying to achieve,
  • the stakeholders you are trying to serve, and
  • the internal capabilities required to satisfy those stakeholders and achieve those goals

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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 more

Earlier 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