Since we do things a bit, Tableau is the leading modern business intelligence tool. Let's look at the Tableau distinction along with its features.
Data Discovery That Is Intuitive and Doesn't Need Coding
The majority of people lack the technological expertise need. This is to link to and interpret your company's data. As a result, only a small number of individuals in most organizations with data. This is by leaving the majority of the staff with minimal maps and static reports. Data research, in our opinion, should be about posing questions rather than learning. Tableau is common with users of all ability levels because it allows them to explore. Then interpret data using only graphics and natural language.
Tableau's patented platform
VizQL is at the core of its drag-and-drop visual analysis. This is which allows immersive data visualization an important part of interpreting data. VizQL helps you to generate complex visualizations by dragging and dropping fields. It produces a visual representation of your results. It is by providing you with visual input as you analyze. As a result, you achieve a much greater view of the data. Then can work up to 100 times faster than for traditional approaches.
Tableau helps everyone in the company to ask as many questions. This is as they want at the pace of thinking, with no dead ends. You're still in exploration mode when you build or review a dashboard. Thus, it will help you unearth and answer even more questions about your results. You can easily pivot the research by using Tableau to generate visualizations. There is no need to start again or have an end target in mind. As a result, you could discover answers to questions you didn't even remember you wanted to ask.
Using Augmented Analytics in a Novel Way
Tableau builds computational capabilities to support anyone from data analysts. This is to enterprise customers in getting results quicker. Artificial intelligence, learning, statistics, analysis, and all assist in the exploration. This is of unexpected insights in analyses. Augmented analytics helps more users to answer their questions quicker. Then it is with greater faith in their findings, thanks to predictive modeling.
Ask Data
Use natural language to analyze the data. In Tableau, type a question and get an answer right away. Ask Data deciphers the context of unclear and undefined questions. This is to provide you with meaningful answers. Through inserting synonyms, meanings, and estimates, IT and data stewards can modify.
Explain Data
With a single click, you will get answers to why a data point exists. Explain Data lets you get more out of your analytics by using AI to explain particular points in your data. You are with a selection of hypotheses based on sophisticated mathematical methods. So you don't waste time searching for answers that aren't there. To find solutions to your particular questions, look past general patterns. Data uses Tableau vizzes (visualizations) to offer oriented, immersive explanations. This is for the particular data points you're interested in.
Advanced Collaboration and Sharing
To cultivate a data-driven community, share data and analytics content. This is with the rest of the team or business. Publish curated data sources for teams to explore in your Tableau Online or Server. These data sources enable team members to ask and answer their questions. This is about the data as their company interests dictate. This is all while maintaining the governance and protection necessary to safeguard data. To help track performance, user permissions, and data governance, centralize the data management.
All details and visualizations:
Create data sources and certify them for use by all analysts in your enterprise. This is all while meeting your company's confidentiality, enforcement, and performance criteria. Create workbooks and visualizations for your team view through the Tableau mobile app. Build a view that reveals a new collection of questions in the results. Then share this review in a safe environment with those that need it.
Subscribing and working together:
It has developed a forum for teams to remain and move discussions forward. This is with a host of features built to place data at the center of all decisions. Keep an eye on your data by subscribing to views and setting notifications. To carry the discussion on, use @-mentions when posting on visualizations. Share custom views with your colleagues to illustrate key perspectives.
Any Form of Data
Tableau can link to a wide spectrum of data located in several locations. It will bind to data stored in a spreadsheet on your computer. A data lake in the cloud, data stored in a cube database on a server in your enterprise. Then it has cloud data contained in Salesforce or Amazon Redshift.
Strong Details Preparation
Connecting to data is often only beneficial once the data can analyze. More users than ever before will transform raw data into data ready. This is for primetime thanks to advanced data preparation. This also integrates capabilities into our platform. Adjust the way the business approaches conventional data planning. Tableau allows it quicker and easier for market users to get to their analysis. This is by offering a visual and direct way to blend, form, and clean data.
All Members of The Company
Extend the utility of the data by encouraging users to explore it in a safe environment. This is without being limited to pre-defined queries, wizards, or map forms. Your analytics are still controlled, stable, and up to date. Regardless of whether you deploy on-premises, in the cloud, or on Tableau's servers.
Unparalleled Culture
Every day, over a million enthusiastic, committed participants assist one another. The Tableau Culture is up of people like you who are forward-thinking, problem-solving. On Tableau Public, in forums, at regional and online user groups, gathering. Thus, more, they highlight some of the best Tableau has to offer. Like-minded data rock stars will shine in the Tableau Culture.
Tableau and Salesforce Collaboration is important.
Salesforce revolutionized CRM by using the cloud's capabilities. Tableau makes the most of your rich consumer data. This is by delivering analytics to everyone in the business. To get a greater understanding of the market, merge Salesforce data with other forms of data. This is by including cloud and on-premise data sources. Tableau helps you to deliver stable, up-to-date, personalized views of your data. This is to your entire distribution department, channel staff, marketing teams, and executives.
Link to Salesforce
Since Salesforce, the Lightning Platform, and database.com are both natively related. You can instantly imagine the metrics that matter most to the business. Data can guide decisions at any point of the pipeline. This is by including prospecting, lead management, pipeline coverage, account management, and more. To obtain new insights through the business, link sales data to every other data source.
Conclusion
You can design Tableau's Salesforce Dashboard Starters. This is to help you get up and running fast with actionable data analysis. You can connect and build stunning, data-rich dashboards on account management, quarterly reports. These models, though, are just the beginning. Customize, merge, and integrate with other data sources. This is to achieve a better understanding of your data. You can learn more about this through Tableau online training. This learning can enhance your skills in a better way.
