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Analytics

2 Simple Strategies for Using Big Data to Effectively Raise Capital and Increase Employee Engagement

July 30, 2016 by Faizan Raza

From funding campaigns to customer service, every facet of your business impacts how customers perceive your brand and feel about your products. Perception is reality, especially in business. To create a loyal customer base, your company needs to perceive their needs before they do. And, in order to actually act on those...[read more]

Infographic: The Relationship between Business Professionals and KPIs

July 29, 2016 by Eran Levy

In preparation for launching our BI Virtually Everywhere program, we ran a quick survey (comprised mostly of participants from within our user base) aiming to understand how various business professionals interact with their KPIs, as well as how they would like to consume data in the future. The results are summarized in this infographic...[read more]

BI Case Study: Building an Open Data Portal

July 19, 2016 by Eran Levy
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This article was written by Paul Murphy, IT Program Leader at Co-operatives UK, about his experience using business intelligence technology to centralize years of messy historical data and create an open, explorable web portal. Do you have an interesting business intelligence case study to share? Email us at [email protected] one...[read more]

How hotels are using data to generate new revenue

July 19, 2016 by Mark Ross-Smith
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Hotel revenue management and use of analytics for room sales has remained largely unchanged for decades since the early 1980s when hotels started looking at yield and how they could optimize the revenue each room could generate. By the mid-1990’s, Marriott’s successful execution of revenue management strategies were adding between $...[read more]

They Know What You’re Watching (And Why You’re Watching it)

July 18, 2016 by Bill Franks

It wasn’t long ago that the entertainment industry had virtually no information on the end consumers of its products. A studio would create a television show, which would then be transmitted over the airwaves or through a satellite or cable feed. Even the broadcasters had virtually no information on which consumers watched what content....[read more]

Leveraging Analytics to Improve Enterprise Performance Management

July 18, 2016 by John O'Rourke

The key to operating a thriving enterprise is continuously managing performance.Measuring and monitoring business performance relies on a process of defining clear objectives, planning and budgeting, and evaluating progress at established intervals to ensure the company is keeping pace with their outlined objectives.In doing so,...[read more]

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Long Live KPIs: Innovation is the New Black

July 12, 2016 by Melissa Thermidor

When you think of creativity and community, the last thing that comes to mind is a Key Performance Indicator - just writing that out made me feel completely dead inside. They've been around since the stone age, yet they remain the same and we continue to bang on about how important and necessary they are every chance we get.[read more]

A Two-Stage Approach to Financial Return for Data Lakes

July 11, 2016 by Paul Barsch

Depending on whether you “build” your data lake in the cloud or on premise, it could take anywhere from six months to a year to be fully deployed. But those companies that are faithful to creating and using a big data platform should see not only break-even but real return too.[read more]

How the New Revenue Recognition Rules Could Impact Budgeting and Planning

July 7, 2016 by John O'Rourke

There’s been a lot of buzz in the accounting and finance community recently about the upcoming change in revenue recognition guidelines from the FASB and IASB. To date, most of the focus has been on the transactional accounting impact of the new guidelines.  But Robert Kugel, SVP and Research Director at Ventana Research,...[read more]

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How Big Data Analytics is Driving The Future of Technological Business Success

July 6, 2016 by Rehan Sheikh
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Why Big Data Analytics is pertinent to ultimate business sucessThere are many tools available to help keep businesses ahead of their competition, but perhaps none are as valuable as those that provide data analysis. Analyzing public data can enable a business to preempt trends and understand customers’ needs and desires. This last can be...[read more]

How Airlines Measure Loyalty Using Big Data & Analytics

July 5, 2016 by Mark Ross-Smith

An ongoing debate in the loyalty world is what type of customer is more important? One that spends big on airline tickets or one that filters millions of credit card miles through the banks?[read more]

How to Segment Your Customer Database (Frequent Flyer Edition)

July 1, 2016 by Mark Ross-Smith

Step by step guide on implementing a customer segmentation solution - without paying millions of dollars for an enterprise platform.Customer micro-segmentation is without a doubt one of the most powerful methods for extracting value from your database, and a must for every frequent flyer loyalty program.  Segmentation...[read more]

Tactics to Hyper-personalization

June 29, 2016 by Sandeep Raut

By now we have all heard the importance of personalization and how companies like Amazon use data science for personalization of “Customer who bought this…” to their customers. The latest trend however is hyper-personalization in almost every industry from Retail to Travel to Hospitality and so on. Hyper-personalization is use...[read more]

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Keeping Sales & Marketing Data in Order: What startups must learn from the enterprise.

June 29, 2016 by Maria Grineva

Keeping Sales & Marketing Data in Order: What startups must learn from the enterprise.Nowadays it’s hard to find a startup CEO or CTO who’s not thinking about how their company can maximize the value of its data. Yet, most of the startups I speak with are shocked to learn how much money they’re leaving on the table as a result of...[read more]

Retail Data Monetization: Are you sitting on top of a retail goldmine?

June 28, 2016 by Ajith Nayar

The majority of sales generated in the 4.5 trillion dollar US retail market is in-store and the volume of transaction data collected at various points in the trading process is immense. This data is a treasure trove of customer insight as well as product performance. While many retailers mine this data to gain specific insights into understanding their shoppers better, the possibilities that such data analysis opens up is largely untapped.[read more]