ASK DATA: TABLEAU’S NEW NATURAL LANGUAGE
Ask Data: Tableau’s New Natural Language Capability Engine
Related Articles
Uncovering Data Sharing
Traditional data-sharing methods involve copying files via FTP/cloud, employing ETL pipelines, or utilising APIs. While these methods facilitate data exchange, they come with inherent limitations. Security vulnerabilities, data inaccuracies, and high maintenance costs are just a few of the challenges organisations face. Snowflake's Secure Data Sharing offers a standard shift by enabling seamless, governed access to data within the Snowflake platform.
Secure Data Sharing
Secure data sharing is ideal for granting raw data access across business units or to trusted partners for analysis. It fosters informed decision-making and facilitates data monetisation by providing secure, revocable access to valuable datasets.
Snowflake's Role in Secure Data Sharing
Snowflake's Cloud Data Platform empowers organisations to collaborate securely, driving cost savings and uncovering new insights. With Snowflake Secure Data Sharing, businesses can:
Introducing Data Clean Rooms
In the era of heightened data privacy concerns, data clean rooms emerge as a game-changer. Unlike traditional clean rooms, modern data clean rooms go beyond physical boundaries. They operate as a framework, eliminating the need to relocate data. In essence, a data clean room allows providers to dictate query rules without granting access to underlying data.
When to Opt for Data Clean Rooms
While secure data sharing suffices for many collaborations, data clean rooms shine in scenarios involving sensitive or regulated data. Regulations like CCPA and GDPR mandate stringent privacy adherence, making data clean rooms indispensable for privacy-preserving collaboration. For industries like media and advertising, data clean rooms enable personalised insights without compromising consumer privacy.
Snowflake Global Data Clean Room
Snowflake Global Data Clean Room revolutionises multi-party collaboration by safeguarding data privacy. Leveraging Snowflake's robust collaboration and governance features, it facilitates secure analysis across clouds and regions, mitigating the risk of data exposure or re-identification.
Choosing the Right Approach
In navigating data collaboration, enterprises must prioritise security and compliance. While Snowflake Secure Data Sharing suits low-risk collaborations, data clean rooms are indispensable for handling sensitive or regulated data. By embracing these innovative solutions, businesses can foster a culture of secure collaboration, driving insights and innovation while safeguarding data privacy.

Agentic AI is redirecting AI to autonomous systems that can plan, decide, and execute tasks independently. These AI agents can manage workflows, interact with software systems, and trigger actions without continuous human input. While this autonomy promises efficiency and scalability, it also introduces new governance challenges.
Research shows that 86% of enterprises expect higher risk levels with agentic AI, yet only 2% of organizations currently meet responsible AI standards. This gap highlights a critical reality: organizations must adopt a structured agentic AI governance framework to balance autonomy with accountability.
Enter Tableau AI—the next evolutionary leap, simplifying data analysis to the point of asking a question. Powered by Einstein, Salesforce's AI, Tableau AI heralds a new frontier in effortless data exploration. Alongside this innovation comes Tableau Pulse, revolutionizing the data experience for all users within your organization, irrespective of their familiarity with data analytics.
Tableau AI
Tableau AI stands as a groundbreaking innovation, harnessing the advanced capabilities of generative AI to revolutionize and democratize the data analysis process. This next evolution of Tableau is grounded in the trusted and ethical foundations of Einstein, ensuring its reliability and safety for all users.
The true power of Tableau AI lies in its capacity to elevate every facet of the Tableau platform, driving performance, efficiency, and scalability to new heights.
Tableau AI empowers data analysts by automating analysis, preparation, and governance processes. It streamlines workflows, reduces technical barriers, and eliminates repetitive tasks. Using AI, it facilitates natural language calculations, suggests suitable visualizations, and generates data source descriptions.
Focused on aiding decision-making, Tableau AI distills meaningful insights from datasets, presenting them in plain language. It anticipates follow-up questions and helps break down data silos for effortless access to vital insights. Its conversational interface swiftly delivers essential insights, designed for both experts and non-experts in data analysis.
Tableau Pulse
Tableau Pulse introduces a transformative era in data interaction, making analytics accessible to everyone. Enabled by Tableau AI, this reimagined data experience is tailored for analytics consumers, delivering smart, personalized, and contextual insights seamlessly integrated into their workflow. It's a paradigm shift empowering every employee with the tools to make data-driven decisions effortlessly.
This evolution reshapes how individuals connect with data, fostering deeper, more meaningful engagements. Its goal? To elevate the entire organization, transcending the limitations of the 29% currently leveraging data for decision-making. Tableau Pulse is a game-changer, especially benefiting those pressed for time, seeking instant access to data for swift decisions, and desiring a deeper comprehension of the 'why' behind data, not just the 'how' and 'what.'
Experience the future of data interaction with Tableau Pulse, where insights become an inherent part of everyday workflows, empowering individuals across the organization to harness the full potential of their data effortlessly.
Streamline Your Focus with Metrics that Matter
Businesses grapple with vast volumes of information, often presenting reports in a standardized manner to accommodate entire teams. While this aids time-strapped analysts by minimizing the need for bespoke reports, it leaves end-users sifting through data to locate their relevant metrics—an arduous and time-consuming task.
Tableau Pulse revolutionizes this paradigm by seamlessly delivering personalized data summaries directly within your workflow. It introduces an intuitive, customized metrics homepage, allowing you to curate metrics aligned with your specific requirements. Say goodbye to the cumbersome process of filtering through multiple dashboards to find pertinent figures.
At the start of this example, Tableau Pulse presents a select set of metrics fitted to this specific user's focus.
These metrics are curated based on recent data trends identified by Tableau AI:
Source: https://www.tableau.com/blog/tableau-pulse-and-tableau-ai
Towards the bottom of this example, Tableau Pulse showcases the KPIs that this user has actively tracked. Within this section, Tableau Pulse provides the most recent metric value, a brief visual representation of the trend, and an AI-generated insight specifically pertaining to that metric:
Source: https://www.tableau.com/blog/tableau-pulse-and-tableau-ai
Embed Relevant Data into Your Workflow
These days, professionals juggle various applications, which poses a challenge when tracking crucial KPIs. The continual shift between disparate tools not only consumes time but also disrupts workflow continuity.
Tableau Pulse heralds a transformative shift by integrating pertinent data directly into users' existing tools. This breakthrough ensures data detachment from specific dashboards, guaranteeing access to essential metrics without workflow interruptions. Insights are seamlessly captured within the tools where users spend the most time, eradicating the risk of missing critical information due to platform discrepancies. Additionally, this integration streamlines the scalability of insights across the organization, simplifying the process of visualizing, sharing, and collaborating on data by utilizing tools already familiar to everyone within the company.

Effortless Data Interpretation
Today's data interpretation can often entail a laborious and manual process. Users invest significant time analyzing data to unveil trends and insights while navigating the labyrinth of questions to pose to their datasets. This complexity invariably impedes decision-making speed and hampers overall productivity.
Tableau Pulse redefines data utilization by automating analysis and communicating insights in easily comprehensible, natural language formats. Initially, Tableau Pulse assumes the burden of uncovering the 'why' behind the 'what.' It autonomously identifies and generates insights, predicting the queries you might raise and even suggesting questions that may not have crossed your mind. Subsequently, Tableau AI succinctly summarizes these insights conversationally. This streamlined approach facilitates faster, informed decision-making, eliminating the need for extensive manual data analysis.
In the example below, Tableau Pulse extends its capabilities to address your data inquiries using natural language. Upon delving deeper into the "Appliance Sales" metric, Tableau Pulse was queried, "What is driving change in Appliance Sales?" In response, Tableau Pulse swiftly provided a concise answer along with a visual representation elucidating the factors influencing this change.
With the introduction of Tableau AI and Tableau Pulse, Tableau is set to revolutionize the industry once more, unveiling a fresh experience tailored for analytics consumers. This innovation aims to empower every individual to embrace a truly data-driven approach. Tableau AI and Pulse are reshaping how organizations engage with data, empowering decision-making, and fostering a more data-driven future.

- List the unused data sources: Data sources imported in a workbook but not used are highlighted by the new feature. The developer can remove these data sources from the data source list to make the workbook faster.
- List of unused fields or data columns: Just like the data sources, workbook optimizer also highlights the data columns not used across the workbook. Removing these at the data source level can help improve the overall performance of the workbook.
- List of sheets not used in the dashboard: It is a common practise that developers tend to create sheets not used in the final dashboard. This creates unnecessary clutter and makes the dashboard slower. The workbook optimiser feature gives a list of such sheets which the user can delete to optimise the performance of the workbook further.
- Highlights lengthy calculations: The feature provides a list of calculations which are too complex and in turn reduce the performance of the dashboard. Simplifying a few of these can improve performance to a great extent.
Ask Data Phrase Builder: This feature is available on Tableau Server and Tableau Online
Add field would look like as shown in the below screenshot:
Customize View Data: This feature is available on Tableau Server, Desktop and Tableau Online
This feature enables to reshape the tabular data behind your visualisation in the View data interface. One can create new columns, remove columns from the default view, change the order and sort the data using this feature. This reshaped data can also be exported as csv file to be shared with the team.
Change the root table: This feature is available on Tableau Server, Desktop and Tableau Online
Managing multiple data tables becomes easier and flexible with this new feature. One can swap any table to be the root table with a single click. This allows one to change the layout of the table quickly, reshape the data with a different root table and delete a specific table without deleting child nodes. For e.g., let us assume a user had to create a data source for an analysis using 3 tables namely ‘customers’, ‘orders’ and ‘returns’. The user creates the data model such that ‘customers’ is the root table followed by ‘orders’ and ‘returns’. But after performing some analysis the user realises that ‘orders’ should be the main root table. In such cases the user would have to re-create the data again from scratch but with the new ‘Swap with root table’ feature user can do the changes with a few clicks.
Parameter Enhancements in Tableau Prep
In version 2022.1 Tableau Prep is adding even more places where one can use parameters in the flow as well as user enhancements. Now, one can:
- Get a list of all the parameters in one place rather than finding them in the flow. One can delete these parameters directly from the parameter window rather than to find it in the flow first.
- Include parameter names in exported output files.
- Include parameters in SQL scripts that you run before or after writing the flow output to a database. Include parameters in worksheet names when writing the flow output to Microsoft Excel.
- 1. Improvements in Esri Data Connector
- 2. Addition of new Accelerators
- 3. Added connectors to connect to more data sources
Four Ways Alteryx Automation and AI Can Transform Your Marketing Strategy:
While there are numerous objectives marketing teams can achieve with data analytics, this blog highlights four ways Alteryx automation and AI can transform your marketing strategy:
1. Centralize Your Data
As the marketing landscape prepares for a cookie-less future, having a unified view of your data is essential. Staying ahead of customer needs, competition, and campaigns requires gathering all your data in one place.
With analytics automation, you can easily integrate data from various sources—whether cloud or on-premises, first-party data, or marketing applications like web analytics and CRMs—to gain a comprehensive view of your customers. This enables marketing teams to react to market shifts in real time.
Use case:
For example, a multinational retailer leveraged analytics automation to bring together data from all customer interactions, resulting in a 37x improvement in processing efficiency. This allowed them to better understand customer behavior across multiple channels.Unlike traditional spreadsheets, which have limitations on data capacity, analytics automation platforms offer limitless capabilities, allowing you to manage vast amounts of customer and product data in one place.
How Alteryx Helps:
• Drag-and-Drop Data Integration: Simplify complex data workflows with easy-to-use, drag-and-drop tools that eliminate manual coding and reduce time to insight.
• Automated Data Cleaning: Utilize pre-built data preparation tools to clean, standardize, and transform data in just a few clicks, ensuring high-quality data for analysis.
• Cluster Analysis: Automatically group similar data points (e.g., customer segments) using clustering tools, enabling precise targeting and personalization without manual intervention.
2. Enhance Your Marketing Campaigns
Marketing success depends on speed and agility, especially when it comes to predicting market trends and competitor behavior. Optimizing targeting, pricing, or strategy without the right insights becomes a challenge. Analytics automation helps you find the right combination of offers and tactics to increase conversions and boost revenue.
Use Case:
A retail chain with 500+ stores struggled to predict customer buying patterns and optimize promotions. By implementing analytics automation, they processed customer data in real time, enabling hyper-personalized marketing campaigns that boosted conversion rates by 35%.
They also used machine learning to predict demand and optimize inventory, preventing stockouts during key promotions. Additionally, they automated pricing analysis, reducing adjustment times from weeks to hours. By integrating spatial analytics, they could identify high-performing stores and strategically allocate resources, further enhancing their marketing and sales efforts. They also automated pricing analysis based on regional market dynamics, reducing adjustment times from weeks to hours and ensuring competitive pricing across all locations.
How Alteryx Helps:
• Predictive Modeling: Leverage machine learning models to forecast demand, optimize pricing strategies, and predict customer churn, allowing for proactive campaign adjustments. • Market Basket Analysis: Identify products that are frequently purchased together to optimize cross-selling and upselling opportunities, increasing revenue per customer. • Real-Time Analytics: Process large volumes of data in real-time to quickly adjust marketing strategies and promotional offers based on current performance metrics. • Spatial Analytics: By analyzing geographic data, marketing teams can optimize store placements, allocate resources more effectively, and improve overall sales performance.
3. Maximize Your Talent and Resources
Many marketing teams struggle to turn data into valuable business insights. According to Gartner, only 53% of marketing decisions are informed by data analytics. Limited staff and time often prevent teams from fully utilizing their data potential.
Analytics automation bridges this gap by enabling teams to achieve more with fewer resources. It automates the time-consuming tasks of data cleaning and preparation, allowing marketing teams to save significant hours and focus on more strategic projects.
Use Case:
For example, a leading digital advertising agency transitioned from using spreadsheets for social media analysis to implementing analytics automation. This resulted in a 99.5% faster analysis, saving 180 weekly analyst hours. By automating routine tasks, your team can dedicate more time to high-impact initiatives, ultimately enhancing overall business value.How Alteryx Helps:
• Self-Service Analytics: Empower non-technical users to perform complex data analyses without relying on IT or data science teams, accelerating time to insight. • Workflow Automation: Automate repetitive tasks like data cleansing, transformation, and reporting, significantly reducing manual effort and minimizing the risk of errors. • Scalable Solutions: Handle vast amounts of data effortlessly, allowing your team to focus on high-impact projects without being bogged down by data management issues.4. Achieve Immediate Results While Preparing for the Future
Marketing leaders often juggle the challenge of balancing short-term returns with long-term strategic goals. Analytics automation solutions can provide quick wins while also laying a foundation for future success.
By choosing a solution that is user-friendly and easy to implement, you can skip lengthy training sessions and start seeing results quickly. Moreover, the best analytics tools are designed with the future in mind, offering integration with cloud services and AI-driven insights.
Use Case:
For example, a premier company specializing in technology services, utilized analytics automation to analyze 250 broadcast campaigns, resulting in an 88% time savings and a 25% increase in time spent on advanced analytics. The right automation tools not only generate fast results but also ensure you're ready for future growth.How Alteryx Helps:
• Quick Implementation: Start generating insights rapidly with intuitive tools that require minimal training. Alteryx’s user-friendly interface means your team can hit the ground running without lengthy onboarding sessions. • Future-Ready Integration: Alteryx seamlessly integrates with cloud services, AI platforms, and advanced analytics tools, ensuring your marketing strategy evolves alongside technological advancements. • Comprehensive Analytics Suite: From spatial analysis to text mining, Alteryx provides a wide range of analytical tools that help you address complex business questions and prepare for emerging trends.
How Marketing Teams Can Benefit from Alteryx
With Alteryx, marketing teams can benefit from:
• Self-Service Analytics: A user-friendly, drag-and-drop interface, you can easily access and analyze data without technical expertise.
• Pre-Built Analytical Tools: Utilize pre-configured tools for market basket analysis, spatial analytics, and more without needing custom development.
• Seamless Integration: Integrate Alteryx with your existing marketing tech stack for a cohesive, end-to-end analytics solution.
Alteryx+ Beinex Offerings
Our Premier partnership with Alteryx empowers business users to automate manual data cleansing and transformation tasks in minutes through a simple visual workflow while incorporating the latest technological advancements.
Connect with us for a free demo: https://beinex.com/alteryx-partner/