5 Ways Your AI Projects Fail, After Action Reviews and Post-Mortems
5 Ways Your AI Projects Fail, After Action Reviews and Post-Mortems

The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies at the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.

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Artificial IntelligenceChristopher S. PennAI, Christopher PennComment
Drilling Through to Greater Detail with Planning Analytics
Drilling Through to Greater Detail with Planning Analytics

Financial analysts will occasionally need to review specific transactions that make up balances if anomalies or outliers are detected in reports. The capability to ‘drill through’ a summary balance into a separate data source containing transactional detail (without logging into a separate system) is one of the many benefits provided by Planning Analytics.

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Planning AnalyticsEvan McKirdyEvan McKirdy, IBM Planning Analytics Comments
BI Tomorrowland
BI Tomorrowland

…As I stood there, rubbing my bruised noggin and craving Dutch apple pie, I reflected on the changes currently underway in the world of BI. The technology oracles have been saying it for some time now, but never had it been more apparent to me than at IBM Data & AI Forum last October that social forces, business practices, and new technologies are changing the way we think about enterprise data.

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Cognos AnalyticsMichael HovarStrategy, Michael Hovar, Business Analytics, Cognos Comment
Flattening the Curve: Coronavirus in the Era of Mature Data Visualization
Flattening the Curve: Coronavirus in the Era of Mature Data Visualization

At PMsquare, we believe in the power of effective data visualization. In this article, we look at how data visualization has evolved to effectively communicate important ideas in life-and-death situations such as the COVID-19 pandemic. Specifically, we examine the viral “flatten the curve” visual, as well as other visualizations that track the spread of the disease and the potential impact on our world.

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Cognos AnalyticsMike DeGeusData Visualization, COVID-19 Comment
Thrive Release Notes - March 2020
Thrive Release Notes - March 2020

The March 2020 Thrive release focuses on delivering our most frequent customer requests and improving the stability and performance of the application. We’re especially excited to debut a long-requested schedule and job tracking functionality, as well as the ability to customize name/id display in the environment. We hope you love this release as much as we do and look forward to extremely exciting things to come in the remainder of 2020.

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ThriveRyan DolleyUpdate, Thrive Release Notes, CognosComment
Planning Analytics Reporting Cubes
Planning Analytics Reporting Cubes

Creating a dedicated reporting cube, you remove the potential for data changing as it is a static load versus a cube that users can input data into and data can change throughout the day. This is accomplished using TurboIntegrator (TI) processes to move data between cubes. A reporting cube can combine data from multiple Planning Analytics cubes into a single cube.

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Planning AnalyticsRob BaierleBest Practices, Rob Baierle, Cognos, IBM Planning Analytics Comments
Creating Custom Data Visualizations in Cognos 11.1.5
Creating Custom Data Visualizations in Cognos 11.1.5

The ability to add your own custom visualizations came with Cognos 11.1.4 and has only improved in the 11.1.5 release. Being able to create or adapt an existing chart created with any JavaScript library means we're no longer tied to what IBM provides. If you see a chart in another tool that you like, then I'm sure there's a way to create it in Cognos.

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Cognos AnalyticsRory CorneliusRory Cornelius, Data Visualization, Customize Visualizations, Cognos Comments
Why the Cloud Was Made for Data & Analytics
Why the Cloud Was Made for Data & Analytics

The benefits of cloud computing are widely accepted these days, but we’re still in the early stages of organizations actually moving systems to the cloud. While all sorts of workloads can benefit from cloud computing, your data and analytics systems are a great place to start—or to look at next if you’re already on the cloud journey.

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Amazon Web Services (AWS)Mike DeGeusStrategy, Project Management, Analytics, Mike DeGeus, The CloudComment
The Power of Data Module Column Dependencies
The Power of Data Module Column Dependencies

When Cognos 11.1 was released, it introduced enough new Data Modules features that a realistic case could be made to consider moving from Framework Manager packages to data modules for metadata modeling. One of the essential pieces that were missing from earlier releases was the ability to deal with multi-grain issues (as addressed by determinants in Framework Manager). To address this issue, Cognos has recently added something called column dependencies.

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Cognos AnalyticsSonya FournierSonya Fournier, Data Modules, CognosComment
5 Ways Your AI Projects Fail, Part 5
5 Ways Your AI Projects Fail, Part 5

The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies at the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.

Read More
Artificial IntelligenceChristopher S. PennStrategy, AI, Project Management, Christopher PennComment
5 Ways Your AI Projects Fail, Part 4
5 Ways Your AI Projects Fail, Part 4

The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies at the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.

Read More
Artificial IntelligenceChristopher S. PennStrategy, AI, Project Management, Christopher Penn
Creating Custom Calendars in Cognos Analytics 11.1s
Creating Custom Calendars in Cognos Analytics 11.1s

One of my favorite features of Data Modules since version 11.1 is the ability to easily do relative date analysis. What used to take a bunch of coding in Framework Manager or several queries within a report, you can now do by pointing your measure to a calendar in a Data Module and automatically have several relative time data items and filters available.

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Cognos AnalyticsRory CorneliusRory Cornelius, Data Modules, Cognos Comments