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Trends and Outliers

TIBCO Spotfire's Business Intelligence Blog

Category Archives: BI in the Cloud


Data + Cloud = Money

Many organizations are realizing that great potential insight lies within the big data in their own networks and streaming through the social web.

shutterstock 1189420151 300x201 Data + Cloud = MoneyAnd that means these enterprises should be focused on the money they could be making if they take advantage of cloud-based analytics.

Measuring Cloud Effectiveness

That’s the assertion of Mark Herman, executive vice president of Booz Allen and leader of the firm’s Value from Data Initiative.

In a Forbes blog post, he notes that just as public companies measure their financial performances on earnings before interest, taxes, depreciation and amortization (EBITDA), the driver for advancements in data analytics should be “cloud EBITDA.”

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BI Wisdom Twitter Chat Recap: Cloud BI

It’s time for a Tweet chat recap that’s all about the cloud, business intelligence and the wisdom of some industry experts including host Howard Dresner.

shutterstock 130367741 300x200 BI Wisdom Twitter Chat Recap: Cloud BIThe topic for the March 28 #BIWisdom chat was cloud BI. There was a lot of back and forth, but we’ll focus on one aspect (actually two related aspects) the risks/benefits of cloud BI.

Interest in Cloud BI Is Growing

Dresner (@howarddresner) says that there’s been an increased interest in cloud BI over the past couple years. In fact, he notes that in 2013, 35% of people believe the cloud “critical” or “very important” compared to 31% in 2012.

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The Economics of Cloud Computing

When exploring the cost benefits of leasing analytics software via the cloud model, there are several factors to examine.

shutterstock 1317023421 150x150 The Economics of Cloud ComputingTime to Market

One of the key consideration for using cloud-based analytics is time to market. Under a cloud model, end users can be up and running within a matter of hours, not months. This can enable targeted users and project teams to act more quickly on time-sensitive market or customer opportunities ahead of competitors.

Each day a company is able to make use of analytics is time the organization has to solve business problems, identify new business opportunities, and optimize operations.

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Data Analytics To Evaluate the Environmental Impact of ‘Fracking’

The US is poised to surpass Saudi Arabia and Russia to become the world’s largest oil producer by 2016, according to the International Energy Agency.

images4 150x150 Data Analytics To Evaluate the Environmental Impact of FrackingMeanwhile, natural gas production in the US has risen tenfold since 2006, according to the U.S. Energy Information Administration.

One of the chief reasons the US has been able to achieve such dramatic gains in the exploration and recovery of both shale oil and natural gas deposits is due to the technique known as hydraulic fracturing (“fracking”).

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Spotfire Named ‘Strong Performer’ in Latest Forrester Report

Spotfire was named a BI “strong performer” among 11 vendors in Forrester’s recent report, The Forrester Wave: Enterprise Business Intelligence Platforms, Q4 2013 by Boris Evelson and contributors Holger Kisker, Ph.D., Martha Bennett and Nasry Angel.

images Spotfire Named ‘Strong Performer’ in Latest Forrester ReportIn this post, we’ll look at why and a few of the key takeaways about where the business intelligence market is going.

The Takeaways

It’s about competing on data: “The majority of large organizations have either already shifted away from using BI as just another back-office process and toward competing on BI-enabled information or are in the process of doing so,” Evelson notes.

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Not All Big Data is Created Equal – Best Practices for Taking Action

The volume of data that’s now available to decision makers is mind-boggling. In fact, 2.5 quintillion bytes of data is being collected every day and the growth in data is simply astounding: 90% of all of the data that’s ever been created has been generated in just the past two years.

shutterstock 1519206711 300x271 Not All Big Data is Created Equal – Best Practices for Taking ActionHowever, experts warn that more data doesn’t necessarily result in better decision making.

“Even the best data doesn’t lead to the right decisions if you don’t know how to look at it,” says Rachel Kennedy, associate professor and director of the not-for-profit Ehrenberg-Bass Institute.

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Insights into “Big Opportunities with Big Data & Analytics for Consumer Packaged Goods Manufacturers”

Packaging goods is no secret to the consumer goods market, but unpacking the insights from the deluge of data this sector brings is a challenge for many companies.

shutterstock 69081949 300x201 Insights into “Big Opportunities with Big Data & Analytics for Consumer Packaged Goods Manufacturers”However, big data analytics can help consumer goods organizations derive value from past, present and future data and solve big business problems such as how to:

  • Manufacture products with fewer steps.
  • Deliver new products to market with more efficiency and lower startup costs.
  • Perform customer service more effectively.

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The Power of Cloud-based BI and Analytics

TIBCO SILVER SPOTFIRE 2.0 300x168 The Power of Cloud based BI and AnalyticsThanks to the exponential growth in the use of unstructured data by companies, including social customer data, many decision-makers are wrestling with the most effective ways to analyze real-time data quickly and effectively.

These escalating data demands are just one of the reasons there’s growing market interest in cloud-based analytics. While Gartner forecasts the global business intelligence (BI) market to grow 9.7% this year to $10.8 billion, business analytics software-as-a-service (SaaS) is expected to grow three times faster than the total business analytics software market, according to Brian McDonough, research manager for IDC’s Business Analytics Solutions research service.

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The ABCs of Agile BI

j03995511 239x300 The ABCs of Agile BIA. What is it?

Agile BI increases a company’s flexibility by delivering value to BI projects at an accelerated pace, according to The Data Warehousing Institute (TDWI). Agile BI includes self-service BI, cloud-based BI, and data discovery dashboards that let users begin working with data more quickly so they can better adjust to changing business needs.

Agile BI is a “fundamental rethink about how BI should work,” says analyst David Norris in a recent article. And it means giving users the tools to access the data they need—without IT intervention—to pull the necessary bits from that data, manipulate it to address their needs, then present the results so that they and their co-workers can use it to rapidly address business problems.

B. Why does it matter?

According to Gartner, 70 to 80 percent of business intelligence projects fail. According to a recent InformationWeek article on the 5 Factors in Agile BI, much of the failure can be attributed to a methodical and painstaking BI system development life cycle. Just as companies need to be agile to succeed, the process by which we deliver BI analytics also needs flexibility baked in.

Remaining flexible as your BI/DW environment matures is one of the keys to being successful and profitable, according to the blog Agile Scout (@agilescout).  The popular blog also states that agile development supports techniques that use “iterative development for rapid delivery of systems with a minimum of rework and risk.” In fact, the agile concept applies to your BI/DW environment in a number of areas including team structure, project management, system design, development, and analytics techniques. The bottom line is agile BI can help you quickly respond to changing business conditions even when you’re asked to do more with less.

C. What’s next?

If you want to learn more about agile BI, TDWI is holding its World Conference in San Diego, starting today and ending on August 12th.

The focus of the conference is the evolution of agile. You’ll learn about the latest thinking on agile project management, methodologies, and modeling, and you’ll also have a look at the ongoing controversy: Does agile really work for BI and data warehousing?

You’ll be treated to six days of courses covering a wide range of BI/DW topics, including developing the agile BI environment, business analytics/performance management, data modeling, and data asset management (quality, governance, master data management, and integration).

You’ll also hear keynote presentations from Ken Collier (KWC Technologies) and Ralph Hughes (Ceregenics Inc.) And leading vendors in the field will be demonstrating BI/DW solutions.

This conference is the place to be if you want to know how these technologies are being implemented and the impact they’ll have on the future of the industry.

Linda Rosencrance
Spotfire Blogging Team

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BI in the Cloud: Recap of Last Week’s Forrester Technology Trends Tweet Jam

Forrester Research is in the process of updating its annual report “The Top 15 Trends Enterprise Architects Should Watch” and is using last week’s Tweet Jam for research.

Brian Hopkins (@practicingEA), a principal analyst with Forrester Research who covers emerging technology and its impacts on business and IT for Enterprise Architecture Professionals, hosted the July 29th Tweet Jam (hash tag #forrtttj). Brian then dissected the chat data in a blog post and delivered a nice graph below that shows the top Tweets by topics and the Tweet initiator’s industry. Analysts dominated the conversation, followed by bloggers and independents.

techtrendsanalysis BI in the Cloud: Recap of Last Weeks Forrester Technology Trends Tweet Jam

And the trends being discussed fall right in line with what Hopkins predicted in a recent blog post – mobile, social, cloud and data.

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