PC Magazine defines the broad industry term Software as a Service (SaaS) as, “Software that is rented rather than purchased. Instead of buying applications and paying for periodic upgrades, SaaS is subscription based, and upgrades are automatic during the subscription period.” SaaS, according to the same source, is ideally suited [...]
What will 2018 unveil for the data management market? I searched expert opinions on technology trends for 2018 and matched them against my own to uncover the five major trends that I think we’ll see in data management this year: 1. Data movement becomes more important. Cloud providers have proven [...]
It's that festive time of year again, so you may want to build yourself a fire and grab a cup of hot chocolate as you prepare for a rousing round of holiday/IT joy. Grab your co-workers and gather around the water cooler while singing along to this post and others […]
The rapid growth of the digital economy has put it on course to account for 25 percent of the world’s entire economy by 2020. Platform business models represent a large proportion of the overall total but what do we mean by platform? MIT Professor Michael Cusumano defines it as follows: […]
As we look at the last 40 years of innovation using analytics, it can be both humbling and inspiring. I mean, who would have anticipated 40 years ago that SAS® would be used to analyze genomic data and help develop specialized medications as a result? Who would have guessed that […]
How to embed advanced analytics in your biggest ideas? was published on SAS Voices.
I've seen a number of articles and webinars recently that discuss data integration as a cloud-based service. So I thought it was worth exploring what this really means in the context of big data – specifically when the objective is to exploit many sources of streaming data for analytics. My initial reaction […]
I feel like I'm singing a song called Data in the Sky – With Options! The cloud is forever in our minds these days as a lower cost option because it requires fewer resources to address our data needs. Cloud solutions are an increasing part of many organizations' budgets every year. Whether enterprise data is […]
Imagine that your business operates with over 50,000 employees in over 60 countries, you are the leading manufacturer in the world for your flagship product, and your customers can be found quite literally world-wide. Then imagine having a goal to become more agile and customer-centered across the board. That clearly describes a big data a scenario, which as usual, holds both challenges and opportunities.
This scenario describes Lenovo, and the leading technology company is running big data analytics on the public cloud infrastructure of Amazon Web Services to capture the voice of the customer. They combine insights from their own data with unstructured data, such as social media, product reviews, customer forums, call center logs and online chat sessions. This approach enables Lenovo to use visual analytics to pick up on issues earlier, giving them a chance to address them quicker. The result is that what once took them 60-90 days to identify and respond to quality issues now happens in a matter of weeks.
Not all organizations are quite as big as Lenovo, but big data is relative and with analytics, the size of your company or the complexity of your business do not have to stand in the way of your hearing the voice of the customer. Tune in to this video below to hear directly from Lenovo executives about how they capture the voice of the customer.
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