Data Visualization Saves Time

8/13/2019 Data Visualization Saves Time

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Data Visualization Saves Time

09 October 2013 by Steve Leung in Analytics Cloud - 5 Comments

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This is Part 2 of a series on analytics which will appear each Wednesday on The TIBCO blog. You can read Part 1, Isolate Problems and Use Analytics to Solve Them , here .

No matter your role within an organization, whether it be analytics, product manager, orleader, lets face it: Excel-based bar charts arent terribly compelling.

If you rely on Excel reports to evaluate current customer trends, operating conditions, orbusiness performance, they simply dont provide much insight into why somethinghappened (e.g., customer satisfaction dropped five points in the Pacific Northwest lastmonth).

Dont Let Reports Become One -Dimensional

While boring Excel spreadsheets do little to stoke the imagination, there are othershortcomings to using stale BI reports. Namely, theyre a drain on productivity.

Lets say a team of airline executives is trying to identify more effective ways to improvefleet utilization. An Excel report might inform the executives of the airlines currentutilization rates. It might even demonstrate how the utilization rates have changedmonth to month. However, its unlikely to provide them with any meaningful insights asto why utilization rates have changed or the opportunities to improve upon thedeployment of aircraft between different cities and hubs. This is one of the reasons whymore companies are turning to the use of cloud-based analytics, which offer rich datavisualization capabilities. Humans are visual creaturesresearch has shown that peoplethink more efficiently when data is presented visually.

For instance, a study conducted by Mindlab International at The Sussex InnovationCenter evaluated how office workers manage and analyze data using traditional software and the resulting effectiveness. The research reveals that when data isdisplayed more visuallysuch as through the use of visual maps and other illustrativetechniquesemployees are 17% more productive.

Visualization Tools Empower Everyone

One of the strengths of cloud-based visualization tools is that they enable users toconjure fresh ways of looking at real-time data that can trigger new approaches toproblem solving. For example, one of the benefits of data visualization techniques ishow it promotes pattern matching. A retail store manager can use data visualizationmethods to identify not only how a growing percentage of customers are defecting toother stores, but the reasons why theyre jumping ship.

In todays fast-paced business environment, knowledge workers dont have the time towait for IT to generate BI reports that might be outdated by the time they hit their desks.Self-service data visualization tools can benefit both decision makers and analysts byenabling them to visualize information, and spot emerging business and operational trends faster.For instance, real-time data visualization capabilities can aid a marketinganalyst for a beverage company who is under pressure from his boss to identify thecompanys window of opportunity for launching a new product.




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Visual analytics can enable marketing analysts to see how much time the company hasto enjoy time-to-market advantages before one or more competitors are likely to enterthe market. Meanwhile, a cloud-based offering facilitates collaboration between workteams, enabling multiple stakeholders to view, interact with, and drill down on the samedata together, and collaborate on insights and actions that can be taken.

Try Spotfire Cloud now for 30 days and see how this impacts your business.

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Steve Leung

Steve Leung is Director for TIBCO Spotfire Cloud at TIBCO Software. He has over 15years of experience in the enterprise technology with strong experience in financial services. Prior to joining TIBCO Software, Steve has been with companies such asOracle, Autonomy, BEA and webMethods helping global organizations design and buildcomplex enterprise architectures. Steve is a business technologist that has held multiple

roles as a consultant to business development helping customers achieve businessvalue from technology. Steve holds a Bachelors degree in Computer Science fromBinghamton University.

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5 Comments

Stefan Hoglund

Visualizing data is key to understanding what is going on, and being able to iteratefast is critical when executives or decision makers dont adopt self service. I amstill waiting for a collaborative cloud-based BI environment that replace expensiveIT resources.

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October 30, 2013 / Reply

kenneth dare

AN ARTIST has the intuition to interpret complex analytical information andpresent it in a visual way that your words cannot describe.


Phil Simon

No argument here. Whats more, traditional BI tools werent build to handlepetabytes of unstructured data. Great post.


Colin morris

YES, agreed! While the rise in visual analytics are boosting analysts insight at theirdesks, there is another welcome need for interactive live visuals to accompanyspeakers presentations. For excel read PowerPoint Which has become a regularexcuse for listeners to turn off. Harvard Business revue recently highlighted thenew role of Artist / strategists to make dry slides more engaging. Concept Visualisation makes sense, as our brains are wired to read and remember imagesquicker than words. (Colin Morris Brand Analyzt)


David White

I definitely agree with the benefits of the visual approach Steve. My recentlypublished research (see link) found that managers with access to visual datadiscovery tools were 28% more likely than others to find the information theyneeded in a timely way. As a bonus, the self-service approach which this class of tools encourages means that corporations are able to get analytics into the handsof more users, as they are less reliant on scarce IT skills.


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Isolate Problems and Use Analytics to Solve Them

02 October 2013 by Steve Leung in Analytics - No Comments

This is part 1 of a series on analytics which will appear each Wednesday on the TIBCO blog.

Whether youre a data scientist or a business manager, its essential to pose the rightquestions to get the right big data answers.

When you need to solve a specific business problem (e.g., applying claims, market, andcustomer data to determine whether a claim is fraudulent), start by identifying businessobjectives, then align those goals against the correct data sets.

Demand More From Your Data

Posing the right question starts with pinpointing what the organization is aiming toaccomplish. Are you trying to increase revenue among existing customers? Boostcustomer loyalty? Identify the reasons behind customer churn?

By isolating the problem, businesses use analytics to create the best questions anddetermine the correct data sets to apply them against.

From there, and to ensure that youre actually gathering the right data sets and usingthem correctly, its important to ask challenging questions about the sources of the dataand how you intend to use it: Where did the data come from? Is it timely enough formeeting our business requirements? Is it accurate? Should we overlay this with otherdata to illustrate a pattern or gain a more multidimensional view of operational or

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business trends? Are there weaknesses or shortcomings with the data available that canskew the results?

Decision-makers need answers to these questions in real time. A cloud-based analyticsplatform can enable individual users to get the answers to their pressing business andoperational questions quickly. This avoids a lengthy IT build, which often results in adata warehouse or data mart loading the data, then generating reports.

Analytics Available Whenever You Need Them

Intuitive, web-based analytics tools make it easy for business leaders, divisional managers, and key stakeholders to drill down on data without the need for extraprogramming.

Meanwhile, a sophisticated analytics platform thats designed to meet the needs of

various classes of business users allows for decision-makers to pose more complexquestions right out of the box, without the need for IT to intervene.

Business is moving at the speed of light. In order to succeed in this fast-paced and ever-changing environment, enterprise leaders require highly configurable and functional analytics tools they can use themselves to analyze and digest dynamic business andmarket information in real time.

This includes a marketing analyst whos looking to identify the amount of revenuegenerated by an inbound marketing campaign, or a product manager who wants tocompare the profitability of different product lines to identify which merchandise is andisnt performing well.

Business leaders dont have the time or the patience to wait for IT to pose the rightquestions and generate reportsreports that may well be obsolete by the time theyreach key decision-makers. They need analytics tools that are instinctive and allow themto ask the right questions and collect insights immediately.

To learn more about sophisticated analytics, take advantage of a free 30-day evaluationof Spotfire.

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Steve Leung is Director for TIBCO Spotfire Cloud at TIBCO Software. He has over 15years of experience in the enterprise technology with strong experience in financial services. Prior to joining TIBCO Software, Steve has been with companies such asOracle, Autonomy, BEA and webMethods helping global organizations design and buildcomplex enterprise architectures. Steve is a business technologist that has held multipleroles as a consultant to business development helping customers achieve businessvalue from technology. Steve holds a Bachelors degree in Computer Science fromBinghamton University.

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Dont Ask What the Internet Can Do for You , Ask What You Can Do for the Internet




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Dont Ask What the Internet Can Do for You , Ask What

You Can Do for the Internet

03 October 2013 by Laura Lau in Tech Trends Big Data - No Comments

As we get closer to the day when every person, thing, and device finds a route toconnect and communicate with the Internet, the power of web relationships will openup countless new opportunitiesfrom shaping the course of big events (like reducingthe impact of natural disasters) to more personal benefits (like monitoring our health ormaking sure we never forget our Grandmas birthday). We become more and morereliant on the Internet to remind, guide, and think for us.

How We Feed the Internet

It is easy to appreciate all the ways the Internet has improved our lives, but reciprocityisnt quite so apparent. Thats right, giving back to the Internet. The fact is, most of thecontent on the Web has been created and put there by humans in some form oranother. From information rich in entertainment to once seemingly mundane data of ourcomings and goings, the Internets prosperity is dependent on content generated by usas individuals and organizations. With the Internet of Things, the data possibilities areendlessthink of sensors tracking our every movement, pet monitoring, or habitfeedback; without our data, the Web is a lot less interesting.

The Power of Connection

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As new companies find innovative ways to improve our quality of life, it means that evenmore of our data will be leveraged in new ways. This will mean allowing companies,objects, and other people to connect with us for data to support this vision. Its a littleoverwhelming to think that with a truly global vision of the Internet, we will participateby sharing more of ourselves. But, its also exciting to know that the picture of thiscomplete participation will create a rich and (hopefully) accurate online landscape. Byleveraging the power of humans around the world we will have access to a better wayto solve problems, which in turn helps us address the challenges of people around theworld. We can solve problems that seemed too overwhelming just a few years ago byleveraging Big Data.

Channeling the Flow of Data

By partnering with organizations, we give them the tools to dream big withoutsacrificing simplicity, security, and ideas. Dont limit the incredible amount of data that

flows back and forth from people to the Internetleverage it. The impact of connectingeveryone can be truly remarkable. Learn more about how TIBCOs customer, World Vision, is using Big Data to help people all over the globe. To leverage Big Data in yourorganization, check out our Integration Maturity Model Assessment .

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Laura Lau

Laura is a writer and marketer based out of Los Angeles. Her career spans retail, agencyand brand marketing in the United States and Asia. She enjoys writing on a variety of

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Manufacturing Isnt Immune to Todays Data Challenges

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Halloween May Be Over , But The Machine Big Data Monster Isnt Going

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Check out this infographic on the phases of Machine Big Data in manufacturing. Theprevalence of a social and mobile workforce has transformed the way you do businessand interact with our customers. Big Data is a real, growing phenomenon and itssomething that should command your attention. To stay Read More

02 November 2013 by Editorial Staff in Analytics / No Comments

Visual Data Discovery for a Competitive Advantage

This is Part 4 of a series on analytics which will appear each week on The TIBCO blog.You can read Part 1, Isolate Problems and Use Analytics to Solve Them; Part2, Data Visualization Saves Time; and Part 3, Moving Beyond Excel: Its Not a Breakup,but a Breakthrough. Many companies know the vast volumes of Read More

31 October 2013 by Steve Leung in Analytics / No Comments

Moving Beyond Excel : Its Not a Breakup , but a Breakthrough

Pgina 1 de5 Analytics | The TIBCO Blog

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TIBCOs release of Spotfire 6.0 is big news in decision management, with substantial implications for companies looking to close the loop between data insights and action.But what are the benefits of bringing these two processes closer together when wealready use data analytics to inform business decisions? Dont businesses Read More

11 October 2013 by Laura Lau in Analytics , Slider / 1 Comment

Data Visualization Saves Time

This is Part 2 of a series on analytics which will appear each Wednesday on The TIBCOblog. You can read Part 1, Isolate Problems and Use Analytics to Solve Them, here. Nomatter your role within an organization, whether it be analytics, product manager, orleader, lets face it: Excel-based bar Read More

09 October 2013 by Steve Leung in Analytics , Cloud / 5 Comments





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This is part 1 of a series on analytics which will appear each Wednesday on the TIBCOblog. Whether youre a data scientist or a business manager, its essential to pose theright questions to get the right big data answers. When you need to solve a specificbusiness problem (e.g., Read More

02 October 2013 by Steve Leung in Analytics / No Comments

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Visual Data Discovery for a Competitive Advantage

31 October 2013 by Steve Leung in Analytics - No Comments

This is Part 4 of a series on analytics which will appear each week on The TIBCO blog.You can read Part 1 , Isolate Problems and Use Analytics to Solve Them ; Part 2 , Data Visualization Saves Time ; and Part 3 , Moving Beyond Excel: Its Not a Breakup,but a Breakthrough .

Many companies know the vast volumes of data they capture about theirbusinessescombined with the reams of data consumers are generatingcan yieldinsights to create new revenue streams and bolster the bottom line. But the technologylandscape to exploit Big Data can be confusing. For example, what is the differencebetween data discovery and data visualization?

Data Discovery Limits User Interaction with Information

Data discovery is the discovery of relationships between data elements, regardless of where the data is stored, according to Bloor Research.

Jaime Fitzgeraldauthor, founder, and managing partner of data analytics consultancyFitzgerald Analyticsexpands upon data discovery in a recent blog post . He contendsthat the term data discovery is different, depending on the context of the use cases

where it is applied.

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For example, if you work in data management and quality, your data discovery isfocused on discovering key metadata about core data assets, he notes. You arefocused on profiling data completeness, data quality, consistency and provenance. Onthe other hand, if you are a marketing scientist focused on predictive analytics, you seedata discovery as a tool for trend identification, campaign analysis, and possibly model refinement or self-service reporting and business intelligence tools for the chief marketing officer.

After data is discovered, it can be presented to users in various ways including managedreporting, dashboards, and visual data discovery (visualization), according to a recentresearch report by Aberdeen Group .

With managed reporting, information is often displayed to users as tables or charts;interaction is typically limited or does not exist. Dashboards present informationnumerically and graphically, and users can interact with data. IT usually designs thedashboards for users, according to Aberdeen.

Users Interact Directly with Data Visualization Tools

Data visualization is a rich, highly interactive, visual tool that allows users tomanipulate and interact with information directly, Aberdeen notes. While IT is involvedin this method, the business owners are typically responsible for creating and accessingdifferent views of the data.

Organizations using visual data discovery are more likely to find the information they

need, when they need it, according to Aberdeens May 2013 survey of organizationsusing visual data discovery and those that were not. The survey found that managers inorganizations using visual discovery tools are 28% more likely to find timely informationthan their peers who solely use managed reporting and dashboards. This isfundamental, providing a real opportunity to gain competitive advantage, the reportnotes. When visual data discovery tools are used as part of a BI portfolio, almost one-third more business decisions can be based on facts, not gut feel.

Additional findings from the survey include the following:

Those firms using visual data discovery are able to get analytics into the hands of 48% more employees, compared to those companies that depend on other toolsfor business intelligence.

At companies using visual discovery tools, 48% of business intelligence users areable to find the information they need without the help of IT staff, all or most of the time.

When visual data discovery is not used, 23% of BI users can find the informationthey need all or most of the time without IT.

Firms that use data discovery tools are able to support 449 analytics users forevery full-time equivalent employee with IT skills, while companies not usingvisualization tools can only support 248 analytics users for every IT employee.


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Half the organizations using visualization tools say that they could easily accessthe potential of new data sources for analytics; only 8% of companies usingmanaged reporting and dashboards report the same.

Where visual data discovery is used, managers that consume BI content are over twiceas likely as their peers to interact extensively with the information presented to them,the report notes. That interaction enables those managers to find answers tounexpected questions that arise through the day-to-day turmoil that is business as usual for most companies.

For 30 days, see how data discovery works on Spotfire Cloud and find how this impactsyour business.


Data Visualization Saves Time

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