Research

Atlanta 2018 Analytics Symposium Presentation: Mano Mannoochahr

By Mano Mannoochahr, Oct 16, 2018

Available to Research & Advisory Network Clients Only

GE’s path to emerging analytics technologies

Emerging technologies like Artificial Intelligence/Machine Learning, Augmented/Virtual Reality and Blockchain have the potential for making a profound impact on how work gets done within the enterprises and what businesses of tomorrow may look like. Mano explains how GE is preparing to capitalize on this opportunity – where the company is investing to build new capabilities and sprints GE is running in this multi-year journey.

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Atlanta 2018 Analytics Symposium Presentation: Sameer Chopra

By Sameer Chopra, Oct 16, 2018

Available to Research & Advisory Network Clients Only

From Blackbox to Glassbox and other AI trends

With automated AI-decisioning rapidly impacting society and our lives, it is becoming increasingly important to understand the underlying factors driving these decisions. Sameer’s presentation looks at some recent promising research into XAI (Explainable Artificial Intelligence) that ID Analytics is actively working with. He spotlights a couple of credible techniques that are enabling interpretation of complex machine learning models (‘black boxes’). The presentation touches upon the AI boom (and hype!) as well as ethical considerations when it comes to AI decisioning.

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Atlanta 2018 Analytics Symposium Presentation: Abhi Seth

By Abhi Seth, Oct 16, 2018

Available to Research & Advisory Network Clients Only

BI isn’t Analytics: Honeywell Aerospace Analytics Team Takes Flight

Beginning nearly two years ago Honeywell Aerospace had the common misconception that BI equaled the full potential of what analytics can accomplish. In order to find their current success, multiple fronts had to be established: educating the business side, finding executive sponsors, identifying projects worth chasing, and of course successful execution against those projects. In this talk, Dr. Seth reviews the challenges faced as he established an analytics practice and shares some of the specific case studies indicative of this evolution in analytics adoption for various business functions and competing on analytics in aviation industry through new connected analytics offerings.

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Yesterday, almost 200 of IIA’s clients, analytics experts and advisory network members gathered together to discuss the top trends and challenges of the analytics industry. The presentations were insightful, drove conversations and had actionable takeaways. The three themes of transformation, artificial intelligence (AI), and data-driven cultures were threaded in all of the presentations. This blog covers the key highlights of each session.

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A Guide for Writing Analytics Job Descriptions in a Competitive Marketplace

By Jenny Schmidt, Oct 10, 2018

Available to Research & Advisory Network Clients Only

As a hiring manager or analytics leader, writing job descriptions to fill key analytics positions can be challenging. The data science and analytics environment changes at lightning speed and high demand for analytics professionals has created a highly competitive marketplace for attracting and retaining them.

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Five Ideas to Improve Your Analytics Return

By Phil Kelly, Oct 05, 2018

At the most basic level, improving analytics returns requires discipline – namely a way baseline and measure analytics return. Assuming your process for measuring analytics value is in place, here are five ways an analytics team can improve their analytics returns.

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Modern Software Concepts for Analytics and Data Intensive Systems

By Casey Rosenthal, Oct 03, 2018

Available to Research & Advisory Network Clients Only

This research brief explores a handful of mental models as they relate to the current state of development in the software industry, particularly at companies with vast scales in terms of request traffic, data to work with or market share. Software as an industry in its own right is becoming increasingly complex; this march toward complexity is no less true for all other industries that depend on software or that are trying to implement complex analytics including AI. The question of how to manage complexity is one of the biggest issues we currently face.

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Migrating Analytics to the Cloud: It’s About Time

By David Macdonald, Robert Morison, Sep 26, 2018

Available to Research & Advisory Network Clients and Professional Members

More business applications, including both everyday and advanced analytics, are moving to cloud-based platforms. They seek the advantages of agility, innovation, and cost-effective high performance. But many cloud migrations fail to gain all these potential benefits. To maximize the performance and value of analytics in the cloud, weigh the options, and choose the right approach to migration.

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Inquiry Response: Organizing Your First Internal Analytics Conference

By Jon Bruner, Sep 17, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We’re organizing our first internal analytics conference to promote analytics cross-pollination across the enterprise, showcasing and broadcasting analytics use cases and value to leadership and the businesses. What should we be thinking about as we begin?

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Everyone who has lived within the world of analytics has seen cases where different parts of a business have made use of slightly differing definitions of core business metrics. Sometimes these differences lead to only minor and non-material disagreement. At other times, the differences in definition can cause massive divergence of reported results and related actions taken. Organizations must ensure that where differences exist in definitions those differences are either reconciled or clearly labeled and articulated to provide the proper context. When is the last time your organization took the time to really examine the strengths and weaknesses of the metric definitions being used on a daily basis?

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