Are you bushed of creating reports in Excel? Do you feel annoyed every time you extract data from multiple platforms to develop website traffic reports?
Here we have some good news for y’all!
Two of Tableau’s own marketers have invented a next-level website analytics dashboard loaded with custom traffic metrics to turn reporting as easy as cake, and they are going to showcase it at TC17 in their breakout session Disparate measures: Tableau marketing’s DIY ethos and custom reporting.
Big Data, Business Intelligence, Data Science – the digital revolution is here, and it’s evolving steadfastly.
Soon, data analytics is becoming the life-source of IT. The range of technologies is varied, and the way data is expanding, we are fast moving towards a juncture where analysis of vast volumes of data will be done in a jiffy.
Every customer demand needs to be fulfilled, and CEO’s expect marketing analysts to deliver them. Being a key marketing initiative, optimizing every customer experience is a significant deal to seal for marketers all around the globe.
Data, of course, plays a crucial role in marketing endeavors – but only the data that is interpretable makes sense, rendering other data useless. To turn data into actionable, organizations need to understand the accuracy of data and in the process should be successful in turning insights into action.
Python wascreated by Guido van Rossum and first released in 1991.Python, as a programming platform, has gained a huge popularity within a short span of time because of its flexibility and the user-friendly interface. The software can be deployed easily for developing statistical models and machine learning algorithms
In fact, due to the advent of AI and ML, Python has a language has had a certain kind of rebirth as far as industrial use is concerned. Today, however, the focus is going to be on a particular section of the language, namely the control flow to create a basic system in Python.
Tableau plays a very crucial role in data intelligence, data representations, data visualizations, and data modelling. The time has gone when folks used to draw graph, charts, on excel and variant types of resources or tool. Because provide us live data source accessibility with number of data sources like – spark, Google Products, Social network, programming language (R,Python,JAVA) whereas tableau uses VIZQL in background to speed up the performance. So now the time is to move towards Business Intelligence.As of now, you don’t need to worry about either data or data sources.
Today, an effective dashboard is mostly insight-driven. And since a good lot of analysis projects stand upon spatial data, playing with maps is an indispensable skill you need to have in your visualization toolbox.
Here, we will like to share a few handy tips to improve the analytic and aesthetic value of maps in your dashboard:
For 14 years, Tableau has solely focused on helping people understand their data better. To take this mission a notch higher, this August, Tableau announced they have acquired ClearGraph, a robust Palo Alto startup that facilitates smart data discovery and data analysis through Natural Language Processing (NLP). They have decided to work with ClearGraph team to incorporate its cutting edge technology into their own products to make data interaction easier via natural language, query technology.Continue reading “Wanna Talk to a Database? Tableau Acquires ClearGraph”
After a volley of speculations, in 2015 the BIG revelation was made – MongoDB, the database for mammoth ideas has partnered with Tableau, the master in visual analytics to make visual analysis of rich JSON-like data structures easier directly in MongoDB. This is a fascinating telltale about a leader in modern databases for robust application development teaming with a leader in rapid-fire visual analytics to serve users’ better.
Recently, the two global tech players are again in the news – Tableau certified MongoDB’s connector for BI as a “named” connector, which means users for the first time can visually analyze rich JSON-like data structures incorporated with modern applications directly in MongoDB Enterprise Advanced. “Data is a modern software team’s greatest asset, so it needs to be easy for them to both store and visualize it in performant, flexible and scalable ways,” said Eliot Horowitz, CTO, MongoDB. He further added, “With Tableau’s certification of the MongoDB Connector for BI, executives, business analysts and data scientists can benefit from both the engineering and operational advantages of MongoDB, and the insights that Tableau’s powerful and intuitive BI platform make possible.”