Trends and Outliers
TIBCO Spotfire's Business Intelligence Blog
2013
Analytics to ID, Troubleshoot Telco Network Performance Snags
Wireless carriers are spending billions of dollars to build out 4G networks that are purported to be able to deliver data, including video, 10 times faster than 3G networks. 4G network expansion is occurring on a global scale.
More than 150 carriers across 60 countries are committed to 4G deployments and trials, according to Deloitte. For its part, China Mobile is planning to spend $6.7 billion this year alone on its 4G networks, according to this article in AppleInsider.
With access, speed, and reliability top of mind for mobile consumers, combined with the amount of investment that’s being poured into network upgrades, it’s imperative for telecom carriers to be able to quickly identify and act on network performance disruptions as they arise.
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2013
Procter & Gamble’s Data Analysis Success Drives Faster Decisions
Companies that can establish common visual languages for data can leverage that data to drive successful decision making.
That’s what Thomas Davenport, visiting professor at Harvard Business School and a senior adviser to Deloitte Analytics, says in a recent Harvard Business Review post.
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Davenport cites Procter & Gamble, which has “institutionalized data visualization as a primary tool of management,” as one of the best supporting examples of his position on effective data analysis.
Filed under: Big Data, Big Data Analytics, Data Analytics, Data Visualization
2013
5 Ways Predictive Analytics Help Insurance Agents, Carriers Work Together
What if you, Mr. or Ms. Insurance Agent, could predict the future so you could keep your best customers? And what if you, Big Insurance Carrier, could work with your agents to more accurately price risks?
Well, you can.
All you both have to do is focus on sharing data and using up-to-date predictive analytics to target risks in order to retain customers, according to this article in PropertyCasualty360.
Sharing data can help you and your carriers operate more efficiently around “pricing and underwriting; customer-retention strategies; finding good prospects; customer segmentation; and cross-selling among various lines of business,” according to the article.
Here are five ways agents and carriers can use predictive analytics to improve business:
1. Out With the Old and in With the New. In the past, predictive analytics solutions were so costly and so slow that carriers just didn’t want to “take on the challenge of working with agents individually to target business,” according to Wade Bontrager, the author of the article.
But the days of expensive, old-school analytics tools are long gone. Now, using modern predictive analytics, carriers can analyze more data and get the answers they need more quickly. And cloud-based predictive analytics solutions make it even easier and less expensive for carriers to share that information with brokers and agents.
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Filed under: CRM analytics, Information Management, Public data
2013
For Retail Banks, Data Analysis Critical to Battle New Rivals
The recent Spotfire on-demand webcast, “Data Science 2.0: Guided and In-line Analytics with Spotfire,” covers how Spotfire and data science are impacting global business across every market and industry.
For example, if you work in the retail banking industry this may mean using analytics to successfully combine data from all available sources to develop a better understanding of customer needs so you can serve them more efficiently.
Here’s a sample clip from the retail banking segment of the webcast followed by a post on how retail banks can benefit from data analysis.
Filed under: Big Data, Big Data Analytics, Data Analytics, Financial Services
2013
Data Analysis Boosts CPG Companies’ Sales, Market Share
The recent Spotfire on-demand webcast, “Data Science 2.0: Guided and In-line Analytics with Spotfire,” covers how Spotfire and data science are impacting global business across every market and industry.
For example, if you work in the consumer package goods (CPG) industry this may mean using analytics to understand which products are most relevant to consumers to help you better manage advertising campaigns to increase customer awareness.
Here’s a sample clip from the CPG segment of the webcast followed by a post on how CPG companies can benefit from data analysis.
Filed under: Consumer Package Goods, Data Analytics, Retail
2013
Data Analysis to Reduce Churn in Telecom
The recent Spotfire on-demand webcast, “Data Science 2.0: Guided and In-line Analytics with Spotfire,” covers how Spotfire and data science are impacting global business across every market and industry.
For example, if you work in the telecom industry this may mean using analytics to capture key knowledge of how well your network is satisfying customers and potential customers.
This likely includes attrition and social churn analysis.
Here’s a sample clip from the telecom segment of the webcast followed by a post on how analytics could be an industry game changer.
Filed under: Data Analytics, Predictive Analytics, Telecommunications
2013
6 Ways Online Retailers Can Use Big Data Analytics
Small retailers that think big data analysis is only important for larger retailers should think again. The fact is using big data analytics is key for small businesses that want to compete with the larger companies.
And it’s even more critical to help online retailers interact with their customers in real time, according to an article in Practical eCommerce.
Practical eCommerce offers six ways online retailers can use big data and big data analytics to improve ROI.
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2013
Data Analysis to Boost Drug Development for Pharma Companies
The recent Spotfire on-demand webcast, “Data Science 2.0: Guided and In-line Analytics with Spotfire,” covers how Spotfire and data science are impacting global business across every market and industry.
For example, if you work in the pharmaceuticals industry this may mean using analytics in clinical trials to identify safety issues more quickly and bring effective therapies to market faster.
Here’s a sample clip from the pharmaceuticals segment of the webcast:
Perhaps no sector of the economy could benefit more from big data and the use of predictive analytics to churn through vast expanses of information than the pharmaceutical industry.
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2013
Analytics: The Power to Predict Equity Markets
The Dow Jones Industrial Average and the Nasdaq Composite Index are continuing their steady growth this year in the face of continued economic uncertainty.
It leaves investors and other market-watchers to wonder just how much upside is left in the market. More to the point: to what extent can predictive analytics be used to guide us on the market’s likely direction?
Naturally, pundits are sharing all forms of bullish and bearish outlooks.
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2013
Analytics: Enhancing the In-Store Shopping Experience
Analyzing the information that’s gathered from digitized in-store video cameras and other in-store technologies is important for retailers. It can help them gain valuable insights about wait times on checkout lines, abandon rates, and even shopper behaviors around the placement of specific items in strategic store locations.
Retailers can use analytics with in-store information that’s gathered to identify ways to improve the in-store shopper experience while helping to optimize marketing and operations.
For example, digital information that can be gleaned from in-store video cameras can be used by retailers to help shape strategies around the number of checkout lanes to have open during certain store hours. This data can also help them schedule checkout clerks to closely meet shopper demand.
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Filed under: Big Data Analytics, Data Analytics, Retail, Uncategorized
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