Trends and Outliers
TIBCO Spotfire's Business Intelligence Blog
2013
The Case for Risk Analytics in Banking
As regional and international banks emerge from the 2008 financial crisis, many institutions are continuing a strong focus on risk management to ensure that they’re complying with more stringent regulations and are loaning and investing cash wisely.
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Risk concerns continue to be top-of-mind for bankers. A combination of lower asset yields and loosening loan terms for mid-market and large businesses amid an uptick in commercial and industrial lending is increasing risks for banks, according to an article in American Banker.
2013
Analytics to Identify the ROI for Renewable Energy Investments
A big part of the challenge for companies looking to pour money into renewable energy sources such as wind and solar power is determining whether there is enough sustainable wind or sunlight in a particular geography to maximize investments in these technologies.
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Companies looking to reap the benefits of Mother Nature’s renewable energy sources can use analytics to evaluate multiple factors, including the average amount of cloud cover, direct sunlight, and the wind energy potential that’s available to justify investments in renewable energy systems.
Filed under: Big Data Analytics, Data Analytics, Energy
2013
Analytics, King James and the Next Generation of Moneyball
Perhaps the most visible evidence of the competitive advantage that can be fueled by data analysis is LeBron James’ performance in the NBA playoffs this year and last, compared to previous lackluster post-season play by the Miami Heat superstar.
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But King James’ less-than-stellar performance on the basketball court happened before he took a hard look at the analytics behind his play, notes Michael Schrage, a research fellow at MIT Sloan School’s Center for Digital Business, in a post in Harvard Business Review.
Filed under: Data Analytics, Predictive Analytics, Sports Analytics
2013
Mobile Carriers Dial Into Analytics Investments
Quality issues and cost pressures are leading telecommunications carriers to ramp up their investments in analytics tools that can be used to help them improve the customer experience, lower churn, and identify opportunities for improving operational efficiencies, according to a newly-released study from Accenture.
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Executives across 30 communications and media companies say they plan to invest in network analytic tools to improve network planning, enhance the quality of service, and improve the customer experience, according to the survey.
Filed under: Big Data, Big Data Analytics, Data Analytics, Telecommunications
2013
Analytics Adds Personality to the Customer Experience
Companies amass a ton of information about their customers’ behaviors, preferences, and interests through data that’s gathered from customer interactions in various channels.
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Whether a customer is browsing a company’s product pages to gather information about a product or she engages in a chat discussion with an agent about a service issue, companies can use this information with analytics to gain a richer understanding of each customer and to better tailor offers, messaging, services, and products for them.
2013
Data Analysis for Marketers: Measuring what Counts, Telling the Story
Marketers have more data at their disposal than ever before, but choosing what to measure – and crafting a visual story to share the insight gained from data analysis – can be a vexing dilemma.
A recent post in the UK’s Guardian newspaper sums up what many marketers are facing with a quote that’s often attributed to Albert Einstein: “Not everything that counts can be counted, and not everything that can be counted counts.”
All decisions can’t be based on real-time, infallible data, according to the post. For example, companies often can’t directly attribute sales revenue to social media outreach efforts.
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Filed under: Big Data Analytics, Data Analytics, Data Visualization
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
The Business and Productivity Benefits of In-Memory Analytics
In-memory analytics enable business users to handle significantly higher volumes of data faster than traditional analytics tools.
The fact is, users of in-memory analytics are able to process more than three times the volume of data at speeds more than 100 times faster than their competitors, according to a study conducted by Aberdeen Group.
That’s largely because users of in-memory analytics tools are able to access and act on data so much faster than users of traditional analytics systems since in-memory technologies can avoid latency issues.
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Filed under: Big Data, Data Analytics, In-Memory Analytics, In-Memory Processing
2013
3 Ways Analytics Boost Traditional Retailers’ CRM Strategies
To reach customers where they live, so to speak, traditional retailers should take a peek at what their pure-play e-commerce brethren are doing – incorporating analytics into their CRM (customer relationship management) strategies to ensure profitable relationships with their customers.
For brick-and-mortar retailers, big data analytics solutions are not just “nice-to-have” – they’re absolutely critical to the success of their CRM operations, according to an article in Direct Marketing News.
“CRM at tier-one retailers has not been about managing the customer relationship, it has been about offers,” says Bob Hetu, research director for retail at Gartner Inc. “They have to get beyond their prejudices, one channel over another. What paths to purchase customers take doesn’t matter. You have [to] support them in whatever way they choose to shop with you.”
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2013
Analytics to Handicap Apple vs. Samsung Market Share Battle
For the past few years, Apple has been sitting in the catbird’s seat when it comes to controlling market share for smartphones, tablets, and MP3 players.
In January, Apple had 37.8% of the U.S. smartphone market for customers age 13 and older, representing a 3.5% increase from Apple’s standing in October, according to smartphone market share figures from comScore.
Samsung was next at 21.4% (netting a 1.9% gain) while both HTC (9.7%) and Motorola (8.6%) have each lost a bit of ground (-1.7% and -1.4%, respectively).
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Filed under: Big Data, Big Data Analytics, Data Analytics, Telecommunications
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