Research

Driving Clinical and Operational Performance Through Analytics

By Jack Phillips, David Alles, Aug 02, 2017

Available to Research & Advisory Network Clients Only

As much as any industry today, healthcare sits at the intersection of both technological and societal change. Web, mobile, cloud, and data technologies are being applied to myriad patient-level applications to disrupt traditional patient care methods, and the very way that hospitals operate and compete. Emerging technologies leveraging the Internet of Things (IoT), particularly in the wearables category, will most certainly shift the role of care and wellness from provider to patient. Recent research from the International Institute for Analytics (IIA) has now quantified the significant gap in maturity between all healthcare segments and most other industries. But the research also reveals a discreet set of steps healthcare providers can follow to improve capabilities and move up the analytics maturity curve.

Read More »

Inquiry Response: Analytics Trends with an Eye on the Future

By Mark Madsen, Jul 24, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

I lead the technology delivery team for the international business intelligence (BI) division. We’re trying to build a strategy to ensure that we’re at the leading edge with our data and that we can continue to achieve competitive advantage out of our data. We would like your take on where you see analytics going and general trends regarding capabilities that organizations are going to need going forward.

Read More »

Saving Retail

By Geoffrey Moore, Jul 18, 2017

Okay, so you know a sector is in trouble when there is a Web page in Wikipedia entitled “The Retail Apocalypse.” This post is not about how much trouble retail is in. This one is about how it can get out.

Read More »

Inquiry Response: Key Messages on the Importance of Analytics

By Dave Cherry, Jul 03, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

My organization works with many different business groups and leaders and we need to articulate why they should be thinking about analytics. We often hear from them that they’re already doing analytics, although they’re really just getting some dashboard information. Most of them don’t know what they don’t know.

Questions:

  • How do we make analytics real for them, get them excited and get them to think about data differently?
  • How have others communicated benefits when they just started out and don’t have any internal use cases to reference?
  • How can we explain how things are different in an analytically mature organization?

Read More »

Move Your Analytics Operation from Artisanal to Autonomous

By Thomas H. Davenport, May 02, 2017

Many organizations today are wondering how to get into machine learning, and what it means for their existing analytics operation. There are many different types of machine learning, and a variety of definitions of the term. I view machine learning as any data-driven approach to explanations, classifications, and predictions that uses automation to construct a model. The computer constructing the model “learns” during the construction process what model best fits the data. Some machine learning models continue to improve their results over time, but most don’t. Machine learning, in other words, is a form of automating your analytics. And it has the potential to make human analysts wildly more productive.

Read More »

IIA 2017 Spring Symposium Event Summary

By Jack Phillips, Apr 13, 2017

Available to Research & Advisory Network Clients Only

IIA hosted its first client-only Symposium of 2017 on March 14, 2017 at the VMware campus in Palo Alto, CA. Over 100 of IIA’s research clients gathered for the Symposium featuring five keynotes and two panel discussions. Given the location in the heart of Silicon Valley, the theme of the Spring Symposium was innovation, disruption, and the growing role of technology in shaping how analytics and data management are executed inside enterprises today.

Read More »

Video: Innovation, Disruption, and Enterprise Analytics

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

This presentation addresses how enterprises of all sizes can adopt a “start-up mentality” to transform their organizations and the industry. Featuring Geoffrey Moore, Author, Thought Leader.

Read More »

Video: Artificial Intelligence is Data Analytics

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

Recent advances in Artificial Intelligence have little to do with intelligence, and a lot to do with data. Machine Learning, in fact, is little more than an automated form of analytics. Discover the surprising history of these ideas and why—after fifty years—they are suddenly the next big thing. Featuring Jerry Kaplan, Author, Thought Leader.

Read More »

Video: What is “Analytics” to a Digital Native?

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

Leaders from Bay Area “digital natives” share perspectives on the inner workings of companies founded on data, and the symbiotic relationship of analytics and technology in data-driven companies. Panel featuring David Hardtke, Director of Advertising Science, Pandora; Todd Holloway, Director of Content Science, Netflix; David Andre, CEO, Cerebellum Capital; Matt Fernandez, CEO, Simple Emotion

Read More »

Video: Analytics in a Global Software Company

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

What analytics means to the internal operations of a large software company, and how analytics is organized; how analytics internally has been a change agent and source of value. Featuring Sanjay Poonen, COO, VMware.

Read More »