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Trends and Outliers

TIBCO Spotfire's Business Intelligence Blog

Category Archives: Mobile Analytics

12/17
2013

Big Data Overrides Your Gut Instinct

Intuition has always played a major role in business. Some of the most important decisions are made on the basis of a single senior executive’s gut instinct.

Deal Deal 150x150 Big Data Overrides Your Gut InstinctUndoubtedly, these decisions are shaped by years of experience, but experience isn’t enough when there is as much potential for using verified facts in decision making as there is today.

 A Volatile Market

The move to a digital existence means the state of any business can change at a drastically amplified rate. It happens often – a single ill-received Twitter post leads to a flurry of backlash, and a company’s reputation is quickly and publicly tarnished.

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10/11
2013

The Four Pillars of the Data-Driven Enterprise

Recent research shows us that four factors or what we call four pillars of the “data-driven enterprise” are the main factors driving organizations that want to compete in the global economy today.

shutterstock 14742577 225x300 The Four Pillars of the Data Driven EnterpriseThese are enterprise mobility; event-driven analytics; location-specific analytics; and the cloud.

In the 2013-2014 World Economic Forum’s Global Competitiveness study, technological readiness, business sophistication and innovation are among the most important factors determining whether a country’s economy is prepared for the future in terms of competition.

Side note: The report uses Spotfire to help you visualize this comprehensive report on where each company stands in economic readiness. We thought that was pretty cool.

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03/21
2012

Changing the Mindset About Analytics

problem solving 150x150 Changing the Mindset About AnalyticsThe beauty of analytics is that it allows analysts and decision makers to take new approaches to problem solving. This includes exploring new ways of examining data as well as new types of data sets that can be applied to making better business decisions.

A prime example of this is the way that some companies are beginning to look differently at supporting growth strategies. Historically, most companies have taken product-centric approaches to business. That is, if we can produce “X” product units this quarter, we will hit our revenue and profit targets.

More recently, forward-thinking companies are taking more customer-centric approaches to growth whereby management is placing greater focus on optimizing the customer experience since ultimately “customers are the true source” of a company’s revenues. This is an important distinction for data scientists who are trying to help corporate decision makers identify business opportunities, minimize operational disruptions and drive improved business performance.

Collaboration with peers and organizational leaders is another way for data analysts to look at analytics in new ways. Joel Rubinson, the former chief research officer of the Advertising Research Foundation, and Judah Phillips, a former analytics director for Monster and Reed Elsevier, have created the Analytics Research Organization (ARO) in an effort to help data scientists share ideas and approach analytics from new angles.

For its part, ARO plans to focus on applying analytics and research to business challenges such as increasing revenue and profit, and creating value. According to an article on the group by Research-live.com, Rubinson and Phillips plan to use crowdsourcing to determine ARO’s priorities and activities.

Meanwhile, the continuous eruption of big data from a variety of structured and unstructured data sources, including social channels, sensors, contact centers, web site activity, etc., is also helping data scientists raise new questions regarding their approaches to analytics as well as discover new market opportunities.

Investors.com recently posted an article highlighting the ways analysts and others can use a combination of big data, social channels, and collaboration to unearth new approaches to problem solving. Or, in some cases, borrow ideas from other industries.

For example, the article points to a major toilet paper manufacturer that was trying to figure out how best to package its rolls. An expert in the beverage industry suggested a design that’s similar to fridge-pack soda boxes, where drinks drop and then roll to the entrance of the box for easy access.

Of course, there have been other examples of companies borrowing ideas from other industries to solve product, process, and other problems. Still, it underscores how data scientists can shake up their traditional approaches to problem solving and use analytics to embrace other ideas, whether they’re old or new.

Next Steps:

  • Tweet us and let us know how you’re using analytics to shake up your traditional approaches to solving problems.
  • Sign up for our webcast “Capture HR Workforce Data To Drive Strategic Decisions” and learn how you can deploy HR analytics to make your people and processes more effective.
  • Sign up for this webcast to find out how European life science companies are using analytics to identify new opportunities and detect emerging trends. Maybe you’ll find a way to apply their ideas to your company.

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01/31
2012

CRM Analytics Go Mobile

Roambi1 150x150 CRM Analytics Go MobileBusinesses that want to remain competitive must build stronger relationships with customers.  This means CRM vendors will need to build systems that interact more with customers, rather than systems that are developed primarily for organizations, according to this article in Selling Point. Providers of CRM systems will have to continue developing and releasing CRM application modules that are bundled with or work on a large variety of handheld and/or wireless devices.

And CRM vendors will have to offer analytics through mobile devices so companies can have instant access to various kinds of analytics that were pretty much limited to being on computers in their offices.

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12/28
2011

Top 2012 Resolution for Insurance Industry: Leverage Customer Data and Analytics

insurance industry analytics new year resolution 300x214 Top 2012 Resolution for Insurance Industry: Leverage Customer Data and AnalyticsAlthough insurance companies understand the importance of leveraging customer data and analytics to retain customers, maintain competitiveness and sustain growth, many seem to be playing catch-up on this front. Although more than 9 out of 10 major insurance companies recognize that future growth depends on providing customers with exceptional experiences, most insurers don’t see themselves as currently providing customers with differentiated products or support, according to a global survey of 119 major insurers conducted by Accenture.

According to the survey, insurers realize that they need to spend more money investing in analytics so they can better understand and anticipate the needs of their customers. That’s because having access to new sources of data, for instance from social media, as well as improvements in data consistency, allow for much richer insights and help insurers answer questions such as “how will my customer behave, what are his or her interests, and what will happen?”

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12/02
2011

Location-Based Analytics, Carrier IQ and Your Mobile Privacy

location based analytics 300x232 Location Based Analytics, Carrier IQ and Your Mobile PrivacyIf you’ve been following the news recently, you’ve heard the buzz about an invasive Carrier IQ software that’s likely installed on your smartphone. Now that security experts have discovered this apparent spyware, privacy and security alarms are sounding off. The news is exposing the questionable methods used by carriers to collect mobile analytics data. A similar scenario occurred last week on Black Friday as you were shopping for great deals. It took a call from Sen. Charles Schumer (D-NY) for a mall operator to realize that using “location-based analytics” to collect information about people without their explicit consent is probably not a good thing.

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09/20
2011

Diagnosing Disease Using Smartphone Apps and Data Visualization

diagnosing disease with smartphone app 233x300 Diagnosing Disease Using Smartphone Apps and Data VisualizationWhile many companies are using mobile analytics to measure their mobile advertising and marketing campaigns, scientists are developing healthcare-related smartphone apps that could actually save lives. The new apps are designed to help doctors by integrating with medical devices, enabling the smartphone to become the tool for data handling, analytics, visualization and communication.

For example, scientists at the Center for Systems Biology at Massachusetts General Hospital have integrating a microNMR (nuclear magnetic resonance) device that accurately detects cancer cells with a smartphone, according to the article.

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09/15
2011

How Mobile Analytics Can Help Marketers

mobile analytics1 How Mobile Analytics Can Help Marketers As we gear up for the release of the “Moneyball” movie next week, let’s start this mobile analytics post with a professional sports reference. Although the Pittsburgh Penguins lost in round one of the Stanley Cup hockey playoffs, the Penguins are winning a different type of game off the ice. The National Hockey League franchise is using mobile analytics to improve their marketing program, according to Direct Marketing News.

Increasingly marketers are finding that they need to use analytics to measure mobile activity and improve their campaigns, according to this article in FashionablyMarketing.Me. It’s crucial for marketers to understand the behaviors of mobile users so they can position and target messaging campaigns appropriately, according to the article. By using mobile analytics businesses can significantly increase the ROI of their mobile initiatives.

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07/19
2011

The ABCs of Mobile Analytics

ABCs of Mobile Analytics The ABCs of Mobile AnalyticsUnderstanding the basics of mobile analytics is as easy as learning your ABC’s:

A: What is it?

Mobile analytics refers to the solutions and resulting metrics specific to all things mobile such as SMS messaging, Quick Response codes, mobile apps and smartphone web data. It also covers the adoption, engagement and effectiveness of mobile marketing campaigns and web activity originating from a mobile device.

Application-based analytics give you insight into the number of downloads, how users are interacting with different parts of apps and the ever-popular crash data. Used by app developers who wish to increase downloads, app-based data is also useful to OEMs and carriers on gaining intelligence around subscriber behavior.

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Filed under: Mobile Analytics