Trends and Outliers
TIBCO Spotfire's Business Intelligence Blog
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
2013
Data Analysis to Rule a New Manufacturing Era – Part 4
The manufacturing sector is poised on the cusp of a new era, one that will see the development of a new, large consuming class in developing economies that will bring with it many opportunities but also new, substantial market risks.
While manufacturing has always included more than production, over time the services like research and development, marketing and sales, and customer support have become larger parts of what manufacturing companies do, notes a report on the future of global manufacturing from McKinsey Global Institute.
Depending on the market segment, 30% to 55% of manufacturing jobs in advanced economies are service-type functions, and services make up 20% to 25% of manufacturing output, the research report notes.
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2013
In-Memory Analytics: Taming the Big Data Storage Beast
These days companies are seeing greater volumes of customer, ERP, and other types of data streaming into their organizations. And this is placing an immense burden on their storage systems.
For its part, IDC forecasts that global digital data growth is expected to undergo 50-fold growth from 2010 to 2020. Meanwhile, the volume of business data is growing at an average rate of 36% per year, according to research by Aberdeen Group.
The three key challenges often associated with big data are the “3 Vs”: volume, velocity, and variety, as Aberdeen and other industry experts note.
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2013
CPG Firms: Finding the New Analytics Normal
Consumer packaged goods companies and grocers are focused on growth more than ever, but they must move beyond traditional localized use of big data and analytics to gain the insight required to drive top- and bottom-line growth.
That’s according to a new report by the Grocery Manufacturers Association and Deloitte Consulting.
“The research will assist CPG companies in understanding the broad set of capabilities and competencies required to improve their analytical IQ, with big data making that need even more urgent,” says Marcus Shingles, principal, Deloitte Consulting LLP.
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Filed under: Big Data, Consumer Package Goods, Data Analytics, Retail
2013
Are You Ready for Some Analytics 3.0?
Despite all the recent hoopla surrounding big data, analytics is not a new concept. Analytics tools have been used by businesses since the mid-1950s. So what’s new now?
The massive amount of unstructured data – from the web, social media, mobile, forums and other sources – deluging corporate networks is driving a new era of analytics, Analytics 3.0.
That’s the assertion of Thomas Davenport, visiting professor at Harvard Business School and a senior adviser to Deloitte Analytics.
Davenport describes the differences between the first and second generations of analytics as well as the vast potential the third generation of analytics offers organizations in the Wall Street Journal.
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Filed under: Big Data, Big Data Analytics, Data Analytics, Unstructured Data
2013
Who’s the Most Influential in Big Data? A Twitter Study
Big Data Republic (BDR), a big data community, recently ran a contest for its readers to nominate their favorite Twitter influencers on our favorite topic #BigData.
Using PeerIndex and a panel of real, live, human judges (which we consider a key ingredient to the legitimacy of big data analytics), BDR has compiled a list of the top 100 influencers on Twitter – the result of the month-long contest. BDR threw out any “inbound marketing spambots” and accounts not keenly focused on big data to further legitimize the list.
Tom H. C. Anderson (@tomhcanderson) came in first and we’re honored that our @TibcoSpotfire tweets are in the top 40 – ringing in at No. 34.
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2013
Predictive Analytics to Head Off Retail Disaster
Had ousted J.C. Penney CEO, Ron Johnson, figured out a way to give customers what they wanted – a stellar in-store experience – he might still be at the helm of the brick-and-mortar retail giant.
But Johnson didn’t give customers what they wanted, he gave them what he thought they wanted, causing them to abandon the sinking retail ship in droves, and costing him his job.
The lesson to be learned from the J.C. Penney debacle is that to survive, brick-and-mortar retailers must create in-store customer experiences that set them apart from their online competitors – or face extinction, according to an article in Forbes.
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2013
The Geico Gecko: Born of Big Data Analytics
Unless you live in a cave, you’re well aware of the Geico insurance company’s Gecko spokes-lizard. You probably know that he’s about six inches tall; his scaly skin is a calming shade of green; he has a winning personality – although some might say annoying – not to mention a “loverly” Cockney accent.
His claim to fame is that he loves people, and he especially loves helping them save money on their car insurance.
But there are a couple things about the Geico Gecko (@TheGEICOGecko) that I bet you don’t know.
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Filed under: Big Data, Big Data Analytics, Data Analytics, Insurance
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