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Trends and Outliers

TIBCO Spotfire's Business Intelligence Blog

Category Archives: enterprise analytics

03/25
2014

Analytics Maturity: Separating from the Pack

In today’s competitive environment, companies must better position themselves to act quickly on business opportunities and threats as they deepen their experiences as data-driven organizations.

shutterstock 124937507 300x300 Analytics Maturity: Separating from the Pack This journey to analytics maturity starts with the ability to measure the performance of a company’s business (or at least within specific functional areas) and respond to changes in market and business conditions.

As companies further develop and refine their aptitudes with data and analytics, business leaders are able to become less reactive to changing business and operational conditions.

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01/20
2014

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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01/13
2014

The Merits of a Chief (Big) Data Officer

Do enterprise companies need someone to fill the role of a chief data officer (CDO)? Given the complexity of gathering, storing, managing, and securing data, an argument could be made that some type of data overseer is needed for larger companies.

Unknown 150x150 The Merits of a Chief (Big) Data OfficerIn addition to the various data streams for companies to consider using, it’s also important for someone within the IT organization to ensure the integrity of the data being used. So from a data integrity standpoint and in the absence of a chief data officer, who is ultimately responsible if customer and other data are inaccurate? The CIO? The CTO?

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10/30
2013

When It Comes to Data Analytics, It’s the User, Stupid

While many companies are scrambling to hire data scientists or others formally trained in analytics with an eye toward effectively exploiting the potential of big data, they might be more effective altering their culture to nourish the curiosity of the users they already have.

shutterstock 143354404 150x150 When It Comes to Data Analytics, It’s the User, StupidIn fact, when it comes to big data analytics, top performing companies have sound understandings of their user bases and boast analytical mindsets, according to new research from Aberdeen Group.

“Top companies clarify, articulate and deliver on user needs for analytics, while others are often content to throw technology at their users and hope it sticks,” according to the report.

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03/19
2013

Spotfire 5.5 Release Addresses Growing Market Trends

Companies that want to be competitive, productive as well as innovative have to get the right information to the right people in real time. But at the same time, they have to control access to their sensitive business data.

business intelligence foto Spotfire 5.5 Release Addresses Growing Market TrendsWith the Spotfire 5.5 enterprise-class data discovery platform companies can secure their corporate assets, and provide instant self-service analytics to support the competitive, agile organization.

In our upcoming blog posts, we’ll delve into the major issues companies are facing accessing data – especially unstructured data – from different data sources.

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11/21
2011

The Business Value of Collaborative Analytics

collaborative data analytics 300x261 The Business Value of Collaborative AnalyticsCompanies that have developed advanced analytical capabilities will be more competitive than their peers whose analytical aptitudes aren’t as fully ripened, according to a recent IBM-MIT study.

The study, which is based on insights from more than 4,500 managers and executives, identifies three “progressive” levels of analytical sophistication among organizations: Aspirational; Experienced; and Transformed. Thirty-seven percent of Aspirational companies – those that are just getting started using analytics – reported that they’re more competitive as a result of using analytics.

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11/09
2011

How to Boost Data Analytics Adoption by Improving the User Experience

how to improve data analytics adoption via user experience 300x169 How to Boost Data Analytics Adoption by Improving the User ExperienceAmid the current economic turbulence and the rise of the empowered customer, many companies are applying web, social, and predictive analytics to customer intelligence to help drive improved business performance.

Indeed, corporate decision makers are increasingly demanding quick access to actionable information that’s easy to navigate and simple to share in order to help them act quickly on timely information. Heightened competition for consumer spending is also leading a growing number of companies to encourage business and functional teams to collaborate on contextual customer data and analytics through the use of social tools, including social media, web mashups, wikis, and portals.

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02/28
2011

The ABCs of Enterprise Analytics

Enterprise Analytics The ABCs of Enterprise AnalyticsA:  What is it?

“Enterprise analytics” is a widely used term these days.  As often happens, though—it’s being used in different ways, by different groups, for different reasons.  Enterprise analytics can refer to any or all of these three concepts:

1. Access to analytics capability (so users throughout the enterprise can perform their own local analytics)
2. Access to enterprise-level analytics (so some users can see reports or dashboards that incorporate data from the whole enterprise)
3. Analytics platforms that can function at an enterprise level  (working with multiple data sources and formats)

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