Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In the quest for that last important bit, I am insanely obsessive about 1. simplification and 2. pressing the right emotional buttons. The reasons are that we all like complexity, it gives us energy :), we tend to be logical, and we often treat data output as the end when in reality the data output is jus

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

Bruno Aziza

JANUARY 9, 2017

In the next four years we will see an explosion of AI technology that further delivers on the promise of driverless cars, intelligent robots, and other societal and job-impacting advancements. The conversation needed is how to, or more precisely, how not to regulate AI.

Technology 40

Technology 40

DSI Analytics

JANUARY 20, 2017

These days, even small to mid-sized companies can start getting valuable insights from Big Data within just a few weeks or even days. Of course, there are several flavors of Big Data, most of which fall into the categories of machine generated or customer journey data. There are also many ways to capture and use […]. The post Useful Big Data: The Fastest Way appeared first on DSI Analytics.

Big Data 40

Big Data Analytics Technology 40

Martha Bennett

JANUARY 9, 2017

It’s been abundantly clear for a while that in 2017, artificial intelligence (AI) is going to be front and center of vendor marketing as well as enterprise interest. Not that AI is new – it’s been around for decades as a computer science discipline. What’s different now is that advances in technology have made it […].

Marketing 40

Marketing Enterprise Technology IT 40

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

Srividya Sridharan

JANUARY 9, 2017

Forrester’s business insights research team has had a busy 2016! We have been busy helping our business and technology clients lead their organization to become insights-driven – one of the key operating principles of customer-obsessed firms. Our research in 2016 helped clients: Organize And Operate As An Insights-Driven Business. Insights-driven businesses harness and apply […].

Technology 40

Technology Big Data 40

Nutanix

JANUARY 9, 2017

There’s no question that enterprise application usability has for the most part been left behind.

Enterprise 20

Enterprise 20

Bruno Aziza

JANUARY 10, 2017

After a half decade of investment, and periods of trial and error, a near majority of business executives now report successful results from their Big Data investments.

Big Data 40

Big Data Reporting Measurement 40

Jenny Sussin

JANUARY 19, 2017

You’d think after enough political and celebrity scandals this would be obvious to everyone, but alas it’s not. A social analytics vendor that I’ve spent time covering over the years had come under fire last year for what was being referred to as “citizen surveillance.” They’ve definitely suffered the consequences, but I still can’t help but be baffled that people don’t realize that what they’re sharing is on a public forum.

IT 40

IT Sales Enterprise Analytics 40

Martha Bennett

JANUARY 9, 2017

It’s been abundantly clear for a while that in 2017, artificial intelligence (AI) is going to be front and center of vendor marketing as well as enterprise interest. Not that AI is new – it’s been around for decades as a computer science discipline. What’s different now is that advances in technology have made it […].

Marketing 40

Marketing Enterprise Technology IT 40

Data Science and Beyond

JANUARY 8, 2017

Suppose you work for a business that has paying customers. You want to know how much money your customers are likely to spend to inform decisions on customer acquisition and retention budgets. You’ve done a bit of research, and discovered that the figure you want to calculate is commonly called the customer lifetime value. You google the term, and end up on a page with ten results (and probably some ads).

Statistics 100

Statistics Modeling Predictive Modeling Marketing 100

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Analytics

Nutanix

JANUARY 6, 2017

There’s no question that enterprise application usability has for the most part been left behind.

Enterprise 20

Enterprise 20