Trends and Outliers
TIBCO Spotfire's Business Intelligence Blog
Category Archives: Vertical Markets
2013
The Big Data Business Potential for M2M Communications
Forward-thinking companies in a variety of industries are beginning to see tremendous business potential from using machine-to-machine (M2M) communication technologies through the proliferation of Internet-connected devices.
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In fact, IT and business leaders are planning M2M implementations in areas ranging from smart grid energy networks to manufacturing and industrial plant monitoring to patient monitoring in healthcare, according to a recent study by TechRepublic and ZDNet.
2013
How BI and Data Analytics Pros Used Twitter – Greenie Edition
It’s been a fun month on Twitter in the BI and data analytics space. And with lots going on in the world of energy including climate change talks and making the world greener with big data analytics, we thought it would be fun to take a look at what’s been happening from the “greenie” perspective.
As we mention in a recent blog post, a green strategy is a hot-button issue for the upcoming year in the Obama administration. A key follow for this initiative is Amy Harder (@Amy_NJ), the energy and environment correspondent for the National Journal.
A good news source we’ve discovered on Twitter for green energy and data analytics looks to be the Green Computing Report (@GreenCompReport). This wire service of sorts releases regular news, features and research on the greening of IT.
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2013
Data Analysis to Unearth Banking ‘Silk Roads’
It likely will not be as Herculean an effort as it was for China’s Han dynasty to expand the Silk Road trade routes, but banks are turning to big data to help uncover their own Silk Roads, according to a recent Wall Street Journal article.
Four of the nation’s largest banks are beginning to exploit data analysis to successfully tap into the gold mine of information often hidden in big data, unstructured data like social media posts and call center notes that don’t easily fit into conventional databases.
For example, JPMorgan Chase & Co is combining its credit card and transactional data with publicly available information from the US government to unearth consumer trends, which the bank is then offering to its clients.
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Filed under: Big Data, Big Data Analytics, Financial Services, Vertical Markets
2013
Applying Analytics to Manufacturing Capacity Planning
As manufacturers continue to face intensified global competition and increased pressure on profit margins, they can use analytics to identify ways to improve efficiencies and run their operations more effectively.
“Virtually every facet of the manufacturing operation – product design, customer relations, finance, risk, supplier and partner management, and sales and marketing – is now on a quest for more accurate and accessible information,” according to a Deloitte post in The Wall St. Journal.
Analytics can help manufacturers with a number of opportunities including the ability to identify, quantify, and prioritize margin improvement opportunities by delivering thorough information that provides insights into SKU velocity, price band and segment performance, etc.
2013
Treading Carefully with Social Analytics
Companies can learn a great deal about customer sentiments regarding their products or their reputations by using social analytics.
For instance, Pottery Barn does an effective job of using social analytics and listening to and reacting to customer concerns minutes after those concerns are posted to Facebook, Twitter, and other social media channels, according to an article in Business 2 Community.
Monitoring customer sentiment on social channels can also help alert company executives to a brewing problem.
One of the more infamous examples involves Nestle. In 2010, the environmental watchdog group Greenpeace launched a social media attack against Nestle’s Kit Kat brand.
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Filed under: Analytics and Twitter, Retail, Social Analytics, Vertical Markets
2013
How BI and Data Analytics Pros Used Twitter in the Past Month
It’s been a little while since we’ve brought you a Twitter wrap and we have lots in store in the form of awards, interesting reads and a few cool things to check out. Let’s start with what happens when the lights go out at the Superdome.
Data Geeks & the Super Bowl on Twitter
This writer was highly entertained by @datachick’s play-by-play of the super #fail. Best Tweet? There were two of them – “Agile #SuperBowl. Just enough power” and “I’m pretty sure Nate Silver predicted this.”
Another trending topic related to the Super Bowl was the geek love fest presented by companies like GoDaddy and KIA. But the real story about love and geeks comes to us on Twitter via the MIT Sloan Management Review (@mitsmr).
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2013
Using Analytics to Better Manage Big Data from Smart Grids
Energy utilities, including transmission and distribution providers, are beginning to generate massive volumes of data from the billions of dollars being invested in smart grid efforts.
And analytics can help energy companies ensure the operational success of smart grids by enabling power companies to more effectively manage the streams of data that smart grid technologies are producing, as an Accenture report reveals.
This data, when applied effectively with analytics, can help energy companies evaluate the returns being generated against the sizable investments they’re making in smart grid technologies.
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Filed under: Big Data, Data Analytics, Energy, Vertical Markets
2013
Sharpening Media Advertising Through Advanced Analytics
As television, Internet, and other forms of media continue to converge, advertisers and media executives are striving to find the most effective ways to reach desired customer segments with the right messaging at the right time to generate optimal conversion rates.
Thanks to the capabilities and strengths of advanced analytics, media minds no longer have to rely on mass marketing and advertising approaches in the hopes of potentially engaging and converting just a fraction of the intended target audience.
Customer data, including information that customers share in online surveys, contact center interactions, transactions, and social media channels, can be mined by media marketers to identify the customers they’re trying to reach and the type of messaging that’s most likely to resonate with them and lead to conversion.
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Filed under: Advanced Analytics, Data Analytics, Marketing, Vertical Markets
2013
Top Big Data Trends for 2013 from Gregory Piatesky-Shapiro
Data scientist and editor of KDNuggets.com Gregory Piatetsky-Shapiro recently shared some of his big data insights for 2013.
In a recent Google+ Hangout, he gives his take on where big data helps companies, where he thinks we’ll see more focus and the real role of the data scientist.
Before we jump into the predictions and commentary, we’d like to tell you a little bit about Piatetsky-Shapiro’s (@kdnuggets) background.
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Filed under: Big Data, Data Scientist, Vertical Markets
2012
Top 3 Ways FP&A Analytics Can Get Your Financial House in Order
As April 17 approaches (this year’s deadline), many Americans are scrambling to locate receipts and other financial documents to prepare to file their 2011 income tax returns.
Tax day is also a good time to take a hard look at your company’s financial planning. Are you relying on hastily compiled spreadsheets to manage your sales forecast and pipeline? Or, are you constantly contacting IT to help you slice and dice data from operations, headcount, sales, etc.? Both of these options are just Band-Aid approaches that risk letting revenue and cost-cutting opportunities slip away.
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