Bill Franks's Blog: Analytics Matters, page 9

Peer Into The Analytics Crystal Ball For 2015

On December 10, I helped facilitate the International Institute For Analytics (IIA) webinar to announce our analytics predictions for 2015. I will provide additional commentary on several of the predictions that I am especially fond of in this New Year’s post.

Ignore Your Business, Rake In The Profits

Want to uncover interesting ways to drive value from data? Look for ways to provide value to external, third party stakeholders through analysis of the data that your organization initially collects just for itself.

Predictions for Analytics in 2015

Each year, IIA asks its faculty and leadership to offer perspective on what the world of analytics will look like in the coming year. This year we also solicited predictions from our diverse community of analytics practitioners. The following ten predictions were selected by a panel of judges to represent IIA’s outlook for 2015:

Miss The Right Connections At Your Own Peril

While connection analytics won’t solve all of your organization’s problems, it can probably help solve some of them better. Given that it isn’t widely adopted yet, there is a chance to get a competitive advantage by putting it to use first. Ignore connection analytics at your own peril!

Who Gets The Call When Your Analytics Process Crashes?

I recently had a meeting with one of the largest companies in the world, where we discussed concerns about ongoing maintenance and, more importantly, ongoing repair required for analytics processes. The conversation helped solidify in my mind a major disconnect that often occurs when organizations deploy an analytics process into a production setting. Let’s walk through that disconnect here.

Prepare to be Amazed by Immersive Intelligence

The range of immersive visual worlds that can be created is limited only by the types of data that exist and how that data can be utilized. In other words, it is virtually limitless.

A Pitfall To Avoid When Funding Big Data Analytics

Many organizations fall victim to what I’m about to discuss and a fundamental shift in how organizations think about and fund analytics is required to address it. Today, the systems used to facilitate analytics within most organizations are owned by IT, which means that IT owns the budget to purchase and maintain the systems

Is Big Data Good or Evil?

With all of the lawsuits working through the courts and all of the scary possibilities being discussed in the media, it has led some people to assume that big data is inherently evil. Once you believe that big data is evil, a natural response is to try and shut down the collection and analysis of big data to the maximum extent possible. While big data certainly has risks, it would be a classic case of throwing out the baby with the bathwater if the use of big data is shut down.

Inquiry: Relationships Between Analytics Teams and IT Resources and Partners

What should be considered when establishing relationships between analytics teams and IT resources and partners?

Inquiry: relationships between analytics teams and IT resources and partners

What should be considered when establishing relationships between analytics teams and IT resources and partners?