Top 5 Reasons to Learn TableauCategory: ZaranTech Training Posted:Dec 12, 2017 By: Serena Josh
The world renowned magazine named Forbes has come up with a statistic that says a typical data scientist would expend around 80% of their working time in data preparation. When calculating this on a weekly basis, it would amount to just a single day of activities and tasks related to increasing the profitability of data through extraction of actionable insights. Analysis of data, design of actionable tests and the creation of a consistent and comprehensive story for stakeholders are all part of the data scientists job. Even after all this work is done, simple customer queries can send the data scientists scrambling back to the data preparation phase.
This is where Tableau can help teams in the enterprise to enhance efficiencies, thereby bringing in greater insights into the business.
1. Less time required to pull and prepare data
The main objective of most stakeholder reports is to enable decisions which are accurate and timely. Stakeholders will need to have confidence in the personnel generating the report to extract and display information with accuracy. The tedious set of processes involved in extracting, prepping and integrating data is time-intensive and prone to error. Tableau has built-in data connections and preparation tools which allow data analysts to obtain data in usable formats. The enormous amounts of time saved in prepping data can be re-invested in actual data analysis and formulation of insights.
Consolidating Enterprise Data
With over 60 built-in data connections which spans from text files in excel format to databases such as MySQL and even online tools such as Salesforce.com and Google Analytics. Not only this, tableau also enables integration of files with the same column names into a single data source. Such a large variety of connections enables multiple data sources to be consolidated into a single location on an automatic basis. This means no copy and pasting will be required. After the target data is combined in Tableau, a single and centralized view will enable users to look through various disparate reports to find a story.
Custom joins and calculations or groupings for enterprise data
There are brand new ways to look at data through Tableau using the calculation builder which enables analysts to devise brand new ways to view data at an accelerated pace and with great ease. It is also not required for the presence of engineering and IT to obtain new fields to be added automatically to every row. There is also a provision for creation of friendly names for any value without changing the underlying data. Such features will naturally empower analysts to dig deeper during analysis.
Large quantities of Enterprise data
It is a known fact that, handling large amounts of data in excel can be an enormous task. The elimination of row limit in Tableau enables one to analyze almost millions of rows of data. Long processing times have been eliminated since Tableau has been designed for scale, offering one untrammelled visibility into the enterprise without devouring precious resource time.
2. Flexibility to explore and try new processes
A majority of reporting tools need the analyst to know precisely what is being built before they even begin, which will in-turn make initial data exploratory processes a painstakingly slow one. This will also be a process of trial and error. The drag and drop interface offered by Tableau makes it possible for the enterprise analyst to test out and attempt new ideas and also probe areas of interest and even carry out updates. The ability for rapid exploration and visualization builds will permit for dashboards to offer even more useful and appropriate information.
Data exploration made easy
Different dimensions and measures can be added at an accelerated pace, and values can be grouped and filtered out, and even drilled into outliers. All this can be done by simply dragging and dropping what’s necessary. The intuitive and user friendly interface offered by Tableau enables analysts to focus on finding precise and actionable insights, instead of stressing on the technical know-how. Average lines, trend analysis and clustering are all features which allow for accelerated pattern recognition for quicker discovery of insights.
Do your reports go through multiple revisions?
Reports generated within an enterprise should be dynamic and change with respect to constantly changing Business needs. Tableau brings forth the ability to create reports quickly and also offers the great flexibility of changing report elements. The “Show-Me” feature present in this tool enables users to switch between a variety of chart types with a single click. Data need not be reformatted foe every chart type, with just a single click. Hours spent on aligning items and re-formatting data can be saved in this way.
Extracting Insights from reports
The minimization of time to insight is possible through visualization. And this in turn enables one to view areas of enhancement and improvement instantly. A wide variety of encoding and chart types is possible such as clustering or color coding. Also, dashboards can be transformed into something user friendly so as to help support stakeholders on the go.
3. Interactivity and segmentation on-the-fly
Stakeholder’s most often asked questions are pertaining to what the customer segment will thing about the data generated or its implications. They will also often ask to make changes in the date range to observe what has happened in the past couple of days. Stakeholders can now interact with and customize dashboards that they are interested in, within the ambit of parameters set forth by the creator of such reports.
Separate reports for different segments
Adding filters to the dashboard is now possible with the stakeholder being able to segment dashboard right down to the exact brand or even region they manage, while retaining the ability to comprehend how other regions are faring. Filters that have been created for a single dashboard can work for multiple use cases and will permit bonus on-the-fly comparison and discovery.
Choosing custom date ranges and granularities
Users will be able to select any date range they desire to view. This permits stakeholders to evaluate the time interval that will suit their particular business query. Tableau will also allow switching between varying date granularities, so that one can rapidly acquire a view based on anything ranging from daily and weekly to quarterly, or even an all Wednesday review.
Interacting with your dashboard
Tableau paves the road for different ways to interact with your dashboard. When you click a category on a bar chart, you can filter out other charts on the respective dashboard. When you hover over a particular data point, it will show extra information in the tooltip. Tableau also enables interactivity by permitting users to input data manually – such as a goal, which can be used in future calculations. Such options will enable non-analyst dashboard users which will help construct a data powered work culture.
4. Sharing up-to-date dashboards
Dashboards can be shared through emailed PDFs, these are also called static representation. In such cases, searching other dashboards or previous versions for contrast and comparison will need sorting through email and files. Tableau Server is a unique product which has been architected to host enterprise dashboards and also function as a central repository.
5. Expansive online community and commitment to improvement
The Tableau community is populated by knowledgeable individuals who are focused on teaching others. Tableau itself is committed to bringing out innovation and hearing customers’ needs.
Going by all the reasons stated above, choosing Tableau for your enterprise needs seems to be the obvious choice when compared to the other products in the market.