Research & Insights

Inquiry Response: Setting up the Data for Analytics Workbenches

By IIA Expert, Feb 18, 2019

Available to Research & Advisory Network Clients Only

Inquiry: We’re exploring integrated development environments (IDEs) for analytics – also known as workbenches, sandboxes, etc. Currently, we’re using analytics software through native interfaces with R and SaaS. How can we prepare for this upcoming change? Response: THE BIG IDEAS: The problem today The right approach Data accessibility is key THE PROBLEM TODAY Even the most analytically advanced companies are challenged by data. Even if they have great data, how can they get it into a useable format so they can use emerging tools? This is the problem everyone’s trying to solve right now. Setup your storage, data…

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Over the years, I’ve seen analytics professionals of all stripes blow their credibility and lessen their impact by falling into a common trap. I have to admit that I fell victim to the same trap early in my career. While our intentions are pure, our analytical minds and approaches can get the best of us and we explain too much. We’ll be better off if we learn to provide less detail and stop talking sooner than we are naturally inclined to.

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Inquiry Response: Techniques for Dynamic KBD Integration into the Business

By IIA Expert, Feb 11, 2019

Available to Research & Advisory Network Clients Only

Inquiry:

We’re in the early stages of using key business drivers (KBDs) to help grow our business. Our drivers tend to be in the areas of distribution, promotion, pricing strategy, media, etc. What are some techniques that can help us use KDBs dynamically within the business?

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Inquiry Response: Agile Squad Performance

By IIA Expert, Feb 04, 2019

Available to Research & Advisory Network Clients Only

Inquiry:

We’re beginning the shift to a more Agile approach for our analytics projects. How have others successfully structured their teams?

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What Skills Does Your Team Have: A Practical Skills Inventory Questionnaire

By David Alles, Doug Mirsky, Jan 30, 2019

Available to Research & Advisory Network Clients Only

All too often resource allocation against prioritized business problems is either “next person up” or “Jane should work on this because she delivered well on her last one.” And when selecting technology, buyers may fall into the trap of looking entirely at technology features rather than if anyone in the team will be able to integrate and/or use the technology. Clearly none of these approaches take full and efficient advantage of the distinct mix of relevant attributes within team members that impact an effort’s successful outcome: [a] truly proficient skills with relevant use case experiences.

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Operationalizing Analytics with Modern Analytics Workbenches

By Bill Franks, Jan 23, 2019

Available to Research & Advisory Network Clients Only

The analytics landscape has matured, broadened, and totally transformed in recent years. This transformation has been driven by a wide range of factors including big data, the cloud, the increase in processing capability, the decrease in storage and processing costs, and the near-ubiquitous availability of algorithms. As a result, an organization must also totally transform the tools and processes it uses for analytics if it is to recognize its analytics potential.

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BI ≠ Analytics: Analytics Takes Flight at Honeywell Aerospace

By Abhi Seth, Jan 16, 2019

Available to Research & Advisory Network Clients Only

In fewer than two years, Honeywell Aerospace turned a functional BI competency into an enterprise business analytics team—and created a competitive advantage. This 75-person analytics team has transformed the company’s operations, developed analytics products for customers that Honeywell is monetizing, and created well over $100 million in aggregate value with an impressive ROI. Perhaps Honeywell Aerospace’s most important lesson is leveraging BI to evolve to analytics. Analytics experts know that BI is not analytics, yet many non-experts don’t realize this; they see BI and analytics as the same. Honeywell Aerospace hasn’t argued about it, but has focused on delivering value. This meant starting with BI opportunities, creating value, building trust, and then proceeding to deliver even more value by incorporating advanced analytics to deliver insight beyond the expectation.

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With the hype surrounding Artificial Intelligence (AI) today, almost everyone in the analytics and data science space has been asked about AI by their business partners. Unfortunately, during these conversations it often becomes apparent that the business person really doesn’t have a clue what AI really is or what AI is best able to solve.

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Evolution of Data Science Education

By Jennifer Priestley, Jan 09, 2019

Available to Research & Advisory Network Clients Only

To respond to the high demand of the private sector, over the past decade, colleges, universities and a large number of for-profit institutions have created certification, bachelor’s, master’s, and Ph.D. programs along with numerous executive ed. offerings; the number of institutions now offering data science degree programs has grown exponentially. This data science-centric education orientation is transforming academia, affecting research funding, degrees, research, and publication. For universities, private sector involvement provides funding and real-world perspective. For companies, collaborating with universities provides access to data science resources and can help develop a pipeline of data science talent.

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When to Use Which Analytics Platform: A Primer

By Daniel Graham, Dec 20, 2018

Available to Research & Advisory Network Clients Only

The number of analytic experts in business units is growing three times faster than IT or central analytic staffing. Some call this trend the emergence of “citizen data scientists.” For me, data science apprentice is clearer. Typically, these apprentices are members of a line of business. They are not as technically sophisticated as data scientists. They overlap with each other with similar business goals and skills. Apprentices are both distinct from or the same as business analysts, depending on the enterprise. This primer explores the foundations of “When to Use Which” platform, important to an apprentice’s full potential. It is purposely not a deep dive into a complex topic but an entrée into the architecting of analytics enablement.

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