Research

Inquiry Response: Thoughts on Analytics Maturity in the New World of AI

By IIA Expert, May 27, 2019

Available to Research & Advisory Network Clients Only

Inquiry:

My organization sits at the upper end of the analytics maturity curve: we’re doing predictive and prescriptive work, particularly with image recognition technology. I’d like to have a better sense of how we compare to others, especially now that approaches have become more advanced across the board.

Read More »

Portland 2019 Analytics Symposium Video: Mark Madsen

By Mark Madsen, Apr 17, 2019

Available to Research & Advisory Network Clients Only

The Black Box: Interpretability, Reproducibility, and Responsibility

Historically, a model produced a result that was interpreted by a person who made a decision. In recent years, as the amount of data and number of decisions have grown, agency has been taken from humans and given to machines, which make decisions in a black box. Black boxes raise issues around explainability (or interpretability)—being able to explain how a decision was made—and reproducibility —being able to use the same data and model to make an identical decision.

The reality is that being able to explain complex decisions is extremely difficult, and may not be necessary. And, being able to reproduce decisions is also very challenging, as data, tools, software, models, and environments change. Any single change can have a ripple effect that changes everything. The real issues are trust, reliability, and repeatability, particularly in high-stakes decisions. Building trust starts with IT policies, governance, and infrastructure, to enable preserving history and allow for understanding and reproducing decisions. This is the key to gaining trust and scaling analytics.

Read More »

Portland 2019 Analytics Symposium Video: Marc Demarest

By Marc Demarest, Apr 17, 2019

Available to Research & Advisory Network Clients Only

Information Economy Mapping

Every organization has a naturally occurring information economy. The rules of other economies hold: there is supply and demand, supplier and buyer power, competitive alternatives, infrastructure, regulation, taxation, and more. Two important rules of thumb: demand always finds a way to get its needs met, and there are legitimate, necessary restrictions on freedom.

Roughly 80% of organizations have a Soviet-style, state-controlled information economy. In the other 20% it is a laissez-faire, demand-style information economy. In every organization it is important to know where you are and where you want to go. The right answer is always something other than a command economy or an unfettered laissez faire economy. It is analytics professionals’ job to figure out the optimal state by balancing those requirements and brokering solutions that are palatable to all.

Read More »

Building The Analytics Factory at Deere

As a 180-year-old company with 65,000 employees in 30 countries, Deere is the stark opposite of a digital native. Incorporating analytics into different parts of the company has required significant transformation on both the technical and people sides. But all changes have been grounded in the company’s foundational values.

Transformation has required partnerships between the analytics function and other stakeholders, including IT, manufacturing, sales, legal, and more. Partnerships and flexibility have been necessary in reworking traditional processes to become faster and more iterative, and in revising governance and decision making.

Read More »

Portland 2019 Analytics Symposium Video: Jesse Anderson

By Jesse Anderson, Apr 17, 2019

Available to Research & Advisory Network Clients Only

Creating A Data Engineering Culture

Data scientists get the glory, but when they experience success it is due to a data engineering culture. In a data engineering culture, the value and importance of data engineering are recognized throughout the organization.

Read More »

Portland 2019 Analytics Symposium: Event Summary

Apr 17, 2019

Available to Research & Advisory Network Clients Only

IIA’s 14th Analytics Symposium was held in Portland, Oregon, on March 12, 2019. This Symposium brought together leading analytics thinkers on the future of AI, data engineering, and analytics, along with analytics leaders from different industries, functions, and geographies to share insights and best practices.

Read More »

Inquiry Response: Engaging the Business in a Decentralized Environment

By IIA Expert, Apr 15, 2019

Available to Research & Advisory Network Clients Only

Inquiry:

In our centralized analytics organization, we don’t want to duplicate work that the business units (BUs) are doing, yet we also don’t want to leave analytics gaps either. What’s the best way to partner with the BUs to ensure the best outcomes?

Read More »

Inquiry Response: When a Central Analytics Team Expands

By IIA Expert, Apr 01, 2019

Available to Research & Advisory Network Clients Only

Inquiry:

We have a new consolidated analytics function that is expanding rapidly. What should we be thinking about to help us manage growth, especially with regards to roles and responsibilities?

Read More »

Nearly 200 of IIA’s clients, analytics experts, and members of the analytics community gathered in Portland, Oregon this week for the spring Analytics Symposium. IIA also hosted its first Women in Analytics networking event, an interactive Analytics Workshop, and introduced two tracks of sessions to bring the most value to attendees. This blog covers key themes of the conference and highlights from each session.

Read More »

As data science and analytics teams continue to feel pressure to deliver more value from analytics, many organizations still struggle with the processes and technology required to deploy models into production and more rapidly make data-driven decisions. When evaluating how to best undertake these activities, organizations should consider an important distinction to determine the best path forward.

Read More »