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Appalling, bewildering and utterly nonsensical – data at times can look incomprehensible, especially in its raw forms. This accelerated the foundation of the data visualization company and our very own ‘business dashboard’ tool. Generally found locked within the so-called BI sphere, we can now consider these top notch graphical tools as a powerful medium of assimilating, categorizing, analyzing and then presenting data in a highly interactive and interesting form, using images and charts.

What images are used in a BI dashboard?

Typically, we would found scatter plots, bubble charts, heat maps, pie charts, geographical maps and of course standard tables strewn across a BI dashboard– in short, it is a real smorgasbord of visualization tools.

But a question that clogs our minds is – why do we have to use these tools? What purpose they serve? The most prominent underlying reason typically revolves around the fact that we rely more on the computing power to sail through the numbers and then feature those numbers or ‘trends’ that the human mind would have taken ages to comprehend.

From our standpoint, we humans are more comfortable with pictures than tables or numbers. Spotting a trend through visual representation makes things easier and faster as compared to their traditional counterparts.

Infusing some more intelligence

Tableau Software, a Data Visualization specialist is in its endeavour to add intelligence in its existing format by injecting new brain power in the Tableau 10.3 product release. 

Expect the following updates:

1. Automated table and join recommendations, powered by machine learning algorithms
2. Data driven alerts for proactive monitoring of key metrics
3. Six new data sources are added for rapid-fire analysis

To make things easier, Tableau excels to help create data dashboard table construction USING machine learning tools – and, trust me it would be quite important as all the machine logs comes mostly from the Internet of Things (IoT).

The mechanism behind data alerts

Powered by latest data-driven alerts, users can now receive instant notifications just the moment their data crosses a pre-determined threshold, ensuring they never miss out the changes occurring within the organisation.

Francois Ajenstat, chief product officer at Tableau stated, “Tableau 10.3 makes it easy for teams to access data, wherever it resides. In all, customers can now connect to more than 75 data sources via 66 connectors, without any programming. That includes a new PDF connector, which allows people to directly import PDF tables into Tableau with just one click. With an Adobe estimated 2.5 trillion PDFs worldwide, this unlocks a new realm of data that can be leveraged for rich analysis.”

New improved Tableau is now equipped with new connectors to data sources, like ServiceNow, MongoDB, Amazon Athena, Dropbox and Microsoft OneDrive.

Is data visualization really a cure-all?

If you ask me, I would say NO, not necessarily. Just by adopting data visualization and BI tools, such as Penataho, SAP, Microsoft, TIBCO and others, it doesn’t mean everything will be good to go. Keep in mind, though the algorithms are gaining momentum and becoming super powerful, we humans are still better in identifying the nuances, quirks, outliers and absolutely unique one-offs.

As parting thoughts, Tableau is marvellous, but don’t forget your fundamental commands in mathematics, learnt at school. They’ll help you, for sure! Till then, wish you luck!

For Tableau training courses, rest your trust on DexLab Analytics. We are a reputable Tableau Training Institute, headquartered in Gurgaon, with a branch in Delhi.

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Your data just got better, say thanks to Tableau 10. The big data geeks have worked on both the beauty and brains of Tableau, to make the analyses easier, faster and exceptionally delightful. Tableau 10 features an exciting new look and feel, loaded with cute fonts and beautiful colours to make your viz sparkle.

We are thrilled. We have been waiting for days to gauge how some of the Tableau 10 new features will synchronise with our conventional business interface for Hadoop. We have culled out some of the best features of Tableau 10, which had made us zealous and left us buzzing. And here they are ..

An extremely visually appealing new interface

Connect the little dots to get a bigger picture. The new interface pays enough attention to minute details making the entire visualization environment pleasant and engaging.

For example: When you name a worksheet tab, the same name pops up as an inline title, blending seamlessly with the viz – now isn’t that great!

Ten on ten to Tableau’s clustering feature

Owing to Tableau’s outstanding analytics capabilities, Tableau 10’s clustering feature is the next best thing. The feature focuses on the elements of a pool of data values and visually highlights an inconspicuous number of clusters, which is found in the data. This makes it easier for an analyst to run his eyes through the data sets they need to investigate.

Spotting the zip codes was never so easy before, come and take a look at the following video.

Tableau 10’s highlighting feature helps in finding a needle from the big data haystack

While developing interesting data visualizations, we often need to present the most comprehensive view of the data, so that the consumers get the right information they are looking for, without foraging here and there. With Tableau 10’s highlighting feature, this goal is easily achieved.

In the video shared below, we can see the weekly trend of sales and numbers of customer across the states included in the sales transaction data.

Multisource data integration and blending

By using Tableau 10, the users will be able to directly connect to data stored in Google Sheets.

Scroll down:

Develop visual representation of the most-favoured customers, based on estimated lifetime value.

Once the new data source is created, you can now use the data-relationships feature to let Tableau know that the Last Name column from the Google Sheets data set is mapped to the Customer Dimension column from my AtScale big data virtual cube.

Soon after the above relation has been accomplished, a filter is initiated on my Purchase Trends by Ranked Customers dashboard. Watch the video, to get a clearer picture.

These are some of the slivers of what’s new in Tableau 10. Want even more? Join DexLab Analytics for intensive Tableau Certification Training. This premier data science training institute excels in data analytics certification courses. Get interesting data knowledge and Tableau insights from the veterans!

Sources: tableau.com
 

Interested in a career in Data Analyst?

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