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When creating dashboards in #Tableau it is helpful to view the underlying data to better understand its shape.

Today learn how to expand a scatter plot, the type of graphic that is used to observe the relationships between various numerical values.

Discover what can powerful parameters do for your data visualization and at the same time learn how to create a What-If analysis in Tableau.

This is a “behind the scenes” article about how OTP Bank Romania implemented Tableau Software in their entire organization – a success story for both sides: OTP Bank Romania, as well as for btProvider.

The bar charts are ideal for comparing data between categories, whilst scatter plots are useful for visualising relationships between numerical variables.

Animations in Tableau are available starting with the Tableau 2021.1
Try a new Tableau challenge, more precisely, follow all the steps about how to create a Scrolling Bar Chart Animation.

With the parameter action, you can easily swap charts in Tableau using buttons to visualize KPIs in multiple ways.

A map that shows the layers, each at a different level of granularity, with three separate measures and using different encodings, is a unique Tableau feature.

OTP Bank Romania improved the digital transformation processes and embedded in the concept of big data manipulation by using Tableau software, which provided them with a real-time, dynamic self-service visual analytics platform.

Today prepare for the next tutorial signed btProvider, where we will teach you how to customize totals to show different values than the main table of the view. For this, you can use the function SIZE () to differentiate between different parts of the view in a calculation.

Underlying data refers to the big amounts of data, connections, fields, and tables. It can contain the name and information about data sources, including full data.

Do you want to see context filters in action? You may create a context filter to improve performance or to create a dependent numerical or top N Filter.

Our today’s skill pill video is about Predictive Modeling Functions in time series visualisations. They can help you quickly generate predictions using table calculations.

In this new article and skill pill video, we will learn how to create a difference from the summary average using a calculated field.

As data enthusiasts our goal is to help any user, regardless of their experience working with data. Today learn how to add a filter reset button in a Tableau dashboard.

The UpSet Chart is best used to build plots with more than 3 categories. It can provide more details in a smaller space and is easy to read and build.

Sparklines can be used to show monthly patterns and highlight the minimum and maximum value of a measure.

Summer comes with a fresh, new version of Tableau, 2021.2, and we just can’t wait to discover, test it and implement it. It brings the opportunity for both technical and non-technical users to seek answers in their data with more confidence.

Use Bar Charts Totals in a Table when you want your data to stand out and compare more results. Whether you are a beginner user of Tableau or an experienced one, follow the steps to create them.

Negative Space Bar Charts are perfect to use when you want to add some color to your dashboards or create an impressive cover for a presentation.

Data will always have a story to tell, that’s why it is essential to understand its unique language and use the right tool. Learn how to create a Sunburst Graph in Tableau.

If rankings are your top priority right now and you need to communicate the changes between them, then creating a Bump Chart is the best solution.

Do you need a possibility to visualize parameters from different years and to compare their evolution? A quick solution, but also creative and easy to execute is to make a combination between a Bar Chart and Candlestick Chart.

If you want to compare the data from your sheets, but you have too many categories displayed and you need a single view, then the solution will be to split a long bar chart into smaller bar charts. Tableau can help you see the bigger picture of your listed information, more simply.

In any business, especially in the sales departments, it is important to periodically follow the numbers and the sales results to make comparisons with the past events and also to be able to make predictions for the future. All these enable specialists to build more realistic strategies, and set more powerful objectives for the following periods and projects.

In Tableau, we use parameters when we are not sure which value we want to display or when we need to create a value that is not normally found in our dataset. And while most data analysis tools allow you to build graphs and reports using only static values, Tableau offers users countless opportunities to add interactivity to the data and to the way it is displayed in final analysis. In today’s post we will discuss ways to create multiple select parameters in Tableau and we will see how we can apply these methods in our analysis.

The Best Sports betting Operator in Central and Eastern Europe! The only Romanian company part of the Top 30 gambling companies worldwide! Over 1000 betting shops across Romania and Poland. This is Superbet in Romania – the market leader in the Betting & Gaming industry and the company with the most noticeable growth in Central and Eastern Europe. Superbet is on a mission to excite the world!

A Stream Chart is frequently used when we want to observe the evolution of volumes in our data, from several categories. This chart is built around an axis, so that displaying volumes and their evolution will be made above or below the axis. To better understand how a Stream Chart works, we can imagine that we want to see how sales have evolved over a period in certain regions. Another example that we can consider can be given by analyzing the number of orders, in a period, on a certain segment of customers.

Tableau features always allow us to display in a dashboard or in a graph the information we need. As we have shown many times in our posts, Tableau gives its users the flexibility they need to explore and visualize data in different ways. In today’s post we will show you how you can swap views with parameters in the same dashboard. We’ll see how we can explore data at different levels in the same view.

Students from Faculty of Economics and Business Administration – Hungarian Institute at Babes-Bolyai University in Cluj-Napoca joined multiple hands-on seminars held by btProvider consultants for Digital Marketing and Sales Management and Promotion programs.

A Cycle Plot is used when we want to visualize how a trend, or a cycle correlated with the day-of-the-week or the month-of-the-year evolved. A Cycle Plot is made to capture visually how certain values have advanced over a period. This type of chart is especially useful for identifying certain intervals or periods in which the best results are recorded. For example, we will use a Cycle Plot if we need to know which were the most profitable time slots on Fridays, Saturdays, and Sundays, when our store had the highest number of visitors.

The first version released by Tableau this year is here! Tableau 2020.1 brings users new features designed to help us explore and make decisions based on accurate data, in a faster way. With the acquisition of Tableau by Salesforce, users from all over the world have been looking forward to the integrations and new features that will bring the two great products even closer.

Sorting multiple sheets using different measures may seem simple, but at the same time complex. It all depends on how we want to build the visualization and the features we use. In this case, the best way to sort different measures is to use parameters and a single calculated field. The final view gives us the opportunity to select how we want to sort or classify certain dimensions, depending on the measures or values that interest us and that are significant to us.

Dynamic measures are often used in Tableau in cases where we want to visualize a certain size depending on other measures. For example, we can analyze product categories according to sales, profit or other measures that interest us. In order not to build every time another graph or dashboard in which to visualize the dimensions according to several measures, we can use dynamic measures built with the help of a parameter.

Who doesn’t have KPIs for their business? Is there anyone who doesn’t look at his KPIs on a daily basis? I do not think it’s possible. KPIs are most likely among the first things that come to mind when we think about data analysis. And that’s just because, in one form or another, there is no activity within an organization that does not require tracking KPIs and targets. In today’s post we will discuss how to display KPIs next to bars in Tableau Desktop.

A connected scatter plot allows us to visualize more easily the path followed by dots or bubbles. This path starts from the first value of a measure or other KPI and ends at its last value. A connected scatter plot helps us to easily identify several values, trends or outliers depending on the order in which they were recorded.

Romania Bucharest, 8 March 2021 Next Consult SCE becomes official salesforce.com Reseller for Romania. At the same time, btProvider, a recognized company in the field of Data Analytics and Big Data announces a joint venture with Next Consult through the […]

Dot Matrix Pot is a chart that helps us observe and visualize the frequency of certain data. Specifically, a Dot Matrix Pot provides an overview of how data is distributed or divided according to a certain dimension. These types of graphs practically divide data into two or more categories, grouping them in a matrix.

Transparent worksheets in Tableau can be applied to worksheets in dashboards. The most important thing to remember is that these transparent worksheets allow users to add different layers, one on top of the other, such as: graphics over a certain image, graphics over a map or graphics over graphics. Basically, this feature offers more freedom to users in terms of designing graphs or analyzes with a higher impact.

If you would like to find out how to create a trellis chart, but also other information about this type of graphic, you can find out more here. Basically, a trellis chart is a group of smaller charts placed in the same view. You can often find it under the name “Small Multiples”. In a trellis chart we notice a repetition of graphs on a grid. A dynamic trellis chart is identical to what we mentioned before, the difference being given by certain parameters built to add interactivity to the final view.

A deviation Icicle chart is often used to analyze actual values (achieved performance) in relation to expected values (set targets). This type of chart is useful when we want to identify and visualize how high or low the current values are, compared to those expected. A deviation Icicle chart helps us extract more perspectives on progress and performance, as opposed to a bullet chart or a simple bar chart with reference lines. Often reference lines or a divergent line / bar chart make it difficult for important information, such as periods when current values were above or below the target, to be observed.

We need a dynamic method by which we can change date level. From years to months, from months to weeks or from weeks to days. We need a quick method that allows us to change date level depending on the level of data we want to analyze. The ability to create a parameter in Tableau that allows us to change date level is one of the most dynamic options to compare performance at level of weeks, days, months, etc. Second, it offers more flexibility to end user in terms of date granularity and the time on which it will explore his data.

Pearson correlation coefficient is often used to measure statistical relationship and association between certain data. The result offered by this coefficient can be negative or positive. When Pearson correlation coefficient has a positive value, it means that each increase of one of the analyzed variables is also an increase of the other correlated variable. A negative value tells us that each increase of one variable, is a decrease of the other. Calculating Pearson correlation coefficient can be done in Tableau Software, and below we will show you how.

COVID-19 has dramatically changed the way we work. It is more critical than ever for leaders to put data at the center of their decision-making—for internal decisions that affect employees and external decisions that propel their business forward.

One of the most common methods to enhance tables in Tableau is to highlight columns or rows. People usually choose for tables because they quickly display the information they need. But given that Tableau is not a classic tool for data analytics, but more for visualizing and exploring them, a table cannot be built simply by dragging and dropping dimensions and measures on rows and columns. Therefore, to build a visual experience on our analysis, we can improve tables by highlighting important data.

Ordering and grouping data is an essential element in every analysis. In order to understand different models, patterns or behaviors present in our data, we must identify the most appropriate way to represent them. Podium Bar chart is most often applied in cases where we need to analyze which were the most profitable products, the most productive employees or which are the categories that recorded the highest sales.

Dynamic titles in Tableau are a useful way to display in any analysis or dashboard what information we are currently viewing. Dynamic titles also have the role of providing clarity in our views and helping us to segment information visually. Basically, what dynamic titles do is customize what the end user sees. Thus, it will always know what information is displayed and what filters are applied.

Calculate distance in Tableau is a very useful starting point for departments that deal with optimizing routes for agents. Moreover, this type of calculation is used in geospatial analyzes to indicate the distances between several points and to make decisions regarding the costs necessary to cover them. Also, distance calculation in Tableau can be used in analyzes to determine the profitability, which is always closely related to the costs of our organization.

Tableau 2020.4 brings us many new features to help us capitalize on our data. With each new release, we as Tableau users enjoy new methods of scaling and improving our analytics. In the end, we can only say that data analysis with Tableau is more and more intuitive, helping us to ask the questions that matter, in the key moments of our organizations.

Custom color palettes are easy to create and are a good option to highlight the information we need. Also, custom color palettes represent an option of personalizing our analyzes considering the brand of our organization. Last but not least, they offer a visual experience as close as possible to what for the end user is a routine.

Top N% filter is a feature available in Tableau that allows users to filter and display a certain percentage of their data. To better understand how it works, let’s take an example. Suppose we want to display product categories and their sales value but showing only the first 75% of the recorded values. Instead of crowding filter area in Tableau, we can add a Top N% filter to automatically display the first 25%, 50% or 75% of the values we have in our data set.