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Smart Business Intelligence Applications For the iPhone in 2016

February 9, 2016 by Ryan Kh

Mobile business intelligence is no longer recognized as a nice-to-have feature since it has become paramount to a company’s productivity. With this system, there is no need to restrict your business to four walls. These applications enable employees to make informed business decisions on-the-go and thereby improve the company’s bottom line. Listed below are some mobile BI applications for the iPhone that every entrepreneur needs.[read more]

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Reasons Why Business Intelligence is the New BFF of All Online Marketers

January 25, 2016 by Ryan Kh
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The main purpose of business intelligence is to analyze large quantities of data – both quantitative and qualitative –in order to get an in-depth insight about your customer’s thought and behavior process. This system is particularly useful for online marketers since they do not make face-to-face contact with their customers. By using the following business intelligence strategies and tools, you will be able to understand why your customer acts in a particular way and how to change your products accordingly.[read more]

Change Your Business One Metric At A Time

January 23, 2016 by Bill Franks

Change is hard for most organizations and individuals. Change that goes against historical cultural norms is even harder. In today’s fast moving business world, organizations have to change at a more rapid pace than ever before. Within the company I work for, we are going through a lot of change right now and I see it at many clients I meet with as well. While it may be difficult, change is possible. In many cases, taking a measured, steady approach to change can be more successful than pushing for massive, immediate change.[read more]

3 Ingenious Use Cases for Business Intelligence Tools

January 11, 2016 by Eran Levy

ne of the most exciting things about a formerly-niche technology becoming mainstream is the way it mutates and evolves by means of its end users’ ingenuity.[read more]

BI on the Go: About Functionality and Level of Satisfaction

March 20, 2014 by Jorge Garcia

BI on the go.

In this final part of our mobile BI mini-series (in the first part we explored who is using mobile BI offerings and which vendors they are selecting) we have found that despite being an important change agent in the business intelligence space, the mobile BI arena still has a lot of potential and a lot of ground to break.[read more]

How to Ask Smart BI/Analytics Questions

March 2, 2014 by Doug Lautzenheiser

Ask BI/analytics questions.

Many people rush when posting a "how-to" question on a software vendor case, a LinkedIn group, or some other web forum, as well as when sending an e-mail question to associates. Getting a good answer to the question can be dramatically improved by first properly structuring the request.[read more]

BI on the Go... Who's Using Mobile BI?

February 23, 2014 by Jorge Garcia

Who's using mobile BI?

Piggybacking off of the success of the most recent TEC Buyer’s Guide, the 2014 Buyer's Guide on Mobile BI applications, we took the opportunity to survey users of mobile business intelligence (BI) applications and collect their impressions in regard to these tools.[read more]

Analytics and Hedgehogs: Lessons from the Tampa Bay Rays

April 8, 2013 by Paul Barsch

Analytics lessons via Tampa Bay / shutterstock

The Tampa Bay Rays spend significantly less on payroll than some of their wealthier rivals do, but sometimes get better results. Their success boils down to two things – understanding how to be a hedgehog, and continual application of statistics and analytics into daily processes.[read more]

Are Data Scientists Overpaid?

March 29, 2013 by na na

data scientists in natural habitat

Am I overpaid if I can deliver the leads with a higher margin and lower price? At the end of the year, my revenue after cost is far above the $133k mentioned by ZDNet, yet I don't feel overpaid, and my clients don't feel that our service is expensive - if they did, they would stop working with us.[read more]

Alteryx 8.5 and the Data Artisan: Focusing on the User Experience of the "New Boss"

March 24, 2013 by Tony Cosentino

data artisan/shutterstock

At this year's Inspire, Alteryx’s annual user conference, Alteryx CEO Dean Stoecker kicked off the event by talking about the promise of big data, the dissemination of analytics throughout the organization, and the data artisan as the “new boss.”[read more]

Big Data and the Wizard of Oz Syndrome

March 19, 2013 by Rick Sherman

Big Data blunders

The technology hype cycle, which reminds me of The Wizard of Oz, is a contributing factor in blunders made by businesses initiating their first Big Data projects. I’ll suggest, based on my experience helping clients, why enterprises make these blunders.[read more]

SAS Innovates into the Big Data Analytics Era

March 18, 2013 by Tony Cosentino

SAS Institute held its 24th annual analyst summit last week in Steamboat Springs, Colorado. The 37-year-old privately held company is a key player in big data analytics, and company executives showed off their latest developments and product roadmaps.[read more]

5 Principles of Analytical Hub Architecture (Part 1)

March 16, 2013 by Rick Sherman

analytical hub/shutterstock

Enterprises need to spend time looking forward, rather than just backwards, at historical data. The analytical hub is an important part of making that happen. The analytical hub must be designed properly if it's going to allow data scientists to perform advanced analytics and predictive modeling.[read more]

Information Optimization Is a Key Benefit of Big Data Investments

March 11, 2013 by Mark Smith

Without the right information, an organization cannot make the right decisions or take the right actions. Yet I see organizations today focusing on investments in big data because they believe it can effortlessly bring analysts insights. That premise is incorrect.[read more]

Platfora and the Foundation of Business Intelligence for Big Data

March 10, 2013 by Tony Cosentino

Platfora has gained a lot of buzz in the Big Data analytics market primarily through word of mouth. Late last year the company took the covers off of some impressive and potentially disruptive technology that takes aim at the broad BI and business analytics ecosystem.[read more]