Trends and Outliers
TIBCO Spotfire's Business Intelligence Blog
Category Archives: Enterprise
2013
Making Visual Data Pop for Top Brass
Chief among the critical areas of functionality for a business intelligence (BI) platform is its ability to offer end users rich visualization capabilities to enable and strengthen data discovery and data exploration.
These features are vital because they enable executives and other employees to access, analyze, and grasp large volumes of big data sets quickly and effectively, according to the Gartner BI Magic Quadrant.
Data visualization also lets executives and other end users view information in a variety of different formats and find previously unnoticed trends and insights that can help lead to business or operational breakthroughs.
Continue reading »
Filed under: Big Data, Big Data Analytics, Business Intelligence, Enterprise
2013
Cool News: Customer Feedback Moves TIBCO Spotfire to Gartner BI MQ for 2013
What moved Spotfire to a Leaders position in the 2013 Business Intelligence and Analytics Magic Quadrant from Gartner, Inc.?
While you’ll need to review the entire report to see all the details, we can share a few highlights and insights as to why Spotfire customer feedback helped move the product into the Business Intelligence Magic Quadrant Leaders category.
Continue reading »
First, it’s important to know how the survey works. Gartner defines vendors in the Business Intelligence and Analytics Magic Quadrant as having “a software platform that delivers 15 capabilities across three categories: integration, delivery and analysis.”
2012
5 Ways Data Analysis, Data Discovery Bolster Executive Performance
Executives are not only responsible for their own performances, but also for the performances of dozens if not hundreds or thousands of other employees, according to a recent Aberdeen Group report on executive analytics.
Because of fast-changing market conditions and customer attitudes, executives must be able to act quickly on business trends as they develop.
We outline five ways that data analysis and data discovery can strengthen executive decision making and improve organizational performance:
Continue reading »
Filed under: Data Analytics, Data Discovery, Enterprise, Self-Service BI
2012
Balancing Data Discovery and Customer Privacy
The fact is more companies are using customer data to better understand their customers’ needs and preferences as well as to provide those customers with more targeted, personalized offers.
And that means business leaders must be careful to ensure that their organizations don’t overstep their bounds when it comes to customer privacy.
There are several reasons business leaders need to strike a balance between using data analysis and data discovery to identify the customers and prospects they want to target and customer privacy.
Continue reading »
Filed under: Data Analytics, Data Discovery, Enterprise
2012
TIBCO Spotfire Partner, Beeline, Wins Best of BI Editor’s Choice Award
When we found out Computerworld was seeking examples of the “biggest and most fascinating” business decisions enabled by business intelligence (BI) and analytics tools for its BI Best in Class awards, our first thought was to nominate Beeline, a TIBCO Spotfire® partner and leading provider of intelligent workforce solutions.
Needless to say we were thrilled when Computerworld announced that Beeline had been named a Best of BI Editor’s Choice Awards honoree for its SmartRate solution.
SmartRate, built on TIBCO Spotfire’s visual analytics platform, helps organizations effectively and quickly analyze the skills and descriptions of more than two million job titles with accurate, intelligent, and effective contingent workforce market rate information.
Continue reading »
Filed under: Advanced Analytics, Big Data, Business Intelligence, Enterprise
2012
After all the Hoopla: Three Real Big Data Apps
The cacophony of hype surrounding big data is becoming deafening.
As with all technology that gets caught in top billing as the next big thing, mining big data to unearth its secrets won’t be the silver bullet for every company for every problem today or even tomorrow.
But when big data “grows up,” it definitely will have a major impact in many areas, specifically enterprise BI, government applications and customer relationship optimization, according to Alistair Croll, a founding partner at startup accelerator Year One Labs and an analyst at Bitcurrent.
For decades, analysts have been using business intelligence tools to crunch large amounts of data and answer straightforward questions like: “What are each sales representative’s sales for the month?” But these tools have struggled with predictive analytics that ask the “what if” questions that can help guide company strategy, Croll says.
Continue reading »
2012
Why Marketers Need to Play Nice with Analytics
Much of the focus around the potential for mining big data has been geared toward marketers as well as the vast information about existing and new customers and markets that can be gleaned from using business analytics.
But many marketers are struggling to find useful ways to tap big data, notes Frank Reed, managing editor of Marketing Pilgrim.
Reed cites a recent study by web analytics consultancies eConsultancy and Lynchpin that finds that more than 50% of marketers say that only half of the data collected is useful to their businesses.
“One way that marketers can make their lives easier is to collect only the pertinent data rather than collecting everything under the sun and thus creating an opportunity to miss valuable in formation in the clutter,” Reed says.
Continue reading »
2012
Data Warehousing Development Standards = Efficiency, Quality and Speed
Building a data warehouse by following established standards will help your organization achieve a competitive advantage, lead to quicker development cycles, and realize a higher ROI.
Have you ever tried to fill every corner of a box with a single ball? The ball might fit but there will always be gaps.
Have you ever compared the characteristics of an apple to an orange? The results will always be the same, but the only conclusion that can be drawn is that they are different. You can’t glean any additional information from the apple-to-orange comparison.
Now think of a data warehouse design. The data warehouse will leave gaps, make comparative analysis difficult, and it won’t lend itself to self-service business intelligence if it’s built without:
- a properly formatted physical structure
- data that’s been subjected to a rigorous filtering and transformation process
- a data warehousing schema that’s easy for an end user to use and understand
Continue reading »
2012
5 Tips for Managing Multiple Business Intelligence Installs
In the world of data warehousing the concept of “one version of the truth” has been around for a long time. And it continues to be central to the architectural philosophy of any enterprise data warehousing system.
In fact, in a recent InformationWeek commentary, the editor, Chris Murphy, says, “Employees need one data source they can trust.” Murphy acknowledges that the concept of one data source is difficult to establish.
And he quotes a number of executives who suggest that an enterprise should create one version of the truth by simply declaring it as such. The declaration will be a motivating factor to get the data right and “more accurate,” according to the executives quoted.
But what if the declaration doesn’t work? And what if the organization’s decision makers require a slow, managed transition process from multiple versions of the truth to a single version?
Continue reading »
2012
The 7 Most Important Sections of a BI Business Case
Almost one-third of all business intelligence projects fail to “meet the objectives of the business,” according to Gartner Research Inc.
Andy Hayler echoes that sentiment by noting that high failure rates are also associated with data management projects in general.
He contends that nearly every one of these failures can be attributed to the lack of a business case that should include, at minimum, information regarding the total cost of ownership, the potential risk of failure, and the benefits to the organization as a result of success.
Continue reading »
Recent Comments