ASK DATA: TABLEAU’S NEW NATURAL LANGUAGE

Dubai real estate market shows continues growth, driven by general optimism and confidence in the sector. The Dubai Land Department, DLD, has revealed that real estate transactions in Dubai for the first three months of 2018 totaled AED58 billion through 13,759 sales.

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User-friendly Experience

The user-friendly interface enables cross-functional collaboration and creates analytical solutions that improve productivity and efficiency. The award-winning drag-and-drop capabilities of the designer cloud speed up the analytic process with AI/ML-based suggestions that guide users through their data transformations.

Smart Processing

Alteryx Cloud Designer empowers users to perform responsive data transformations that can be scaled to any size. With smart data samples, you can access the entire dataset and utilize pushdown processing effectively.

Enterprise-grade Platform

A flexible and scalable enterprise-grade platform can help teams as it integrates effortlessly into the existing data and analytics architecture with best-in-class security and governance.

Built-in Connectors

Easily connect and transform your data from various sources with built-in connectivity to over 60 sources. This feature is designed for enterprise-grade governance, scalability, and security.

All-access Reporting

The new Reporting feature for Designer Cloud offers a drag-and-drop report preview canvas, allowing you to configure report elements and build reports more quickly in the cloud.

A Unified Platform

An end-to-end unified analytics platform can be fundamental in building an analytics culture, allowing every user to convert data into business insights with the help of cloud-native data engineering, analytics, and data science.

Accessibility

Alteryx cloud designers can easily access and analyze data even by non-technical users without depending on IT or analytics, democratizing data across your organization.

Real-time Update

You can make changes to your data in real time using the new Interactive Results Grid, which lets you see and make as you build your workflows and the quality of any dataset using a quality bar and visual data profiling.

Private Data Handling

Alteryx Cloud provides customers greater flexibility in the management and storage of their data. The new split-plane solution enables private storage and processing options.

Cloud Data Preparation for the Modern Enterprise

Alteryx Designer Cloud allows organizations to streamline their data operations and gain insights more rapidly. Reduce data preparation timelines from hours to minutes while ensuring data quality, accuracy, and governance.

Cleanse, Prepare, and Blend Data Effortlessly

Make data preparation simple for everyone. Designer Cloud enables users to quickly cleanse, profile, prepare, blend, and analyze data without coding knowledge. With user-friendly drag-and-drop tools, individuals can efficiently execute data transformations. To enhance the efficiency of data preparation, AI and machine learning-based suggestions guide users throughout the process. Empower everyone in your organization to make data-driven decisions and achieve insights up to 90% faster.

Collaborate in Real Time with Interactive Data Samples

Leverage the collective intelligence of your teams with collaborative workflows that can be easily shared across your organization. Teams can work together in real time, observing and iterating on workflow changes as they happen. Alteryx Designer clouds automatically document each step of the workflow process, ensuring transparency. Users can also leave notes and annotations within workflows. Interactive workflows make this possible while pulling a subset of data, allowing teams to develop without pulling the entire dataset, thereby saving time and resources. Source: https://www.alteryx.com/products/designer-cloud

Satisfy the Needs of the Enterprise

Designer Cloud is built for the world’s most demanding modern enterprises. Alteryx empowers hundreds of well-known brands across all industries to enable analytics across their organizations with robust security, governance, and scalability. Plus, you can deploy in the cloud environment of your choice, with support for AWS, GCP, Snowflake, and more. With pushdown processing and built-in connectivity to over 60 data sources, you can easily scale your data operations and transform your data from anywhere. No more installations, permissions, machine limitations, or hassle.

Alteryx + Beinex Partnership

Being the premier partner of Alteryx, Beinex demonstrates excellence in delivering end-to-end analytics transformation services that revolutionized multiple industries in the Middle East. Experience Alteryx now: Free Alteryx trial

1. Connect Data without Migration

Getting data into Data Cloud is straightforward, with batch and real-time ingestion options. Whether you're a financial institution managing sensitive customer data, a retailer analyzing sales trends, or a healthcare provider processing patient information, the ability to bring in data from existing systems like AWS, Snowflake, or Google Big Query without migration or duplication is a game-changer.
With Tableau's seamless integration, all your data is available for rich, interactive analytics. Imagine a retail company analyzing millions of transactions in a blink with Hyper, a SQL database system designed for fast queries. The Hyper engine, running natively on Data Cloud, offers low latency and efficient access to data, allowing businesses to make swift, informed decisions.
Use Case: Tableau Cloud enhances the data fabric approach by enabling healthcare providers to visualize and interact with integrated patient data using dashboards and analytical reports from various departments in real time. This empowers professionals in making quicker, more informed decisions without needing to migrate data, ultimately improving patient care through seamless access to unified records.

2. Ready-to-use Dashboards

Tableau Accelerators are ready-to-use dashboards built using standard data objects in Data Cloud, designed to provide immediate value. Whether you're in marketing, operations, or customer service, these accelerators can help you quickly gain insights without starting from scratch.
For instance, a marketing team in a retail company can use the Segmentation and Customer Insights dashboard to understand customer demographics and monitor changes in segments over time, enabling more targeted marketing campaigns.
Use Case: Using Tableau Accelerators, the retail chain quickly enhances its sales performance monitoring capabilities, enables faster decision-making, and improves business outcomes. The pre-built nature of Tableau Accelerators allows for rapid deployment and customization, making them a powerful tool for businesses looking to accelerate their analytics initiatives.

3. Deeper Customer Insights

In Data Cloud, you can segment your data to better understand your customer base. Marketers and analysts across industries now have a new way to create segments in Data Cloud directly from Tableau. As you explore data, you can make selections within your visualization and publish a new segment in Data Cloud.
This feature is particularly valuable for industries like retail and hospitality, where customer segmentation is key to personalizing experiences and driving loyalty. The ability to share these segments across Salesforce clouds or other platforms ensures that strategic actions, such as targeted marketing campaigns, are data-driven and effective.
Use Case: Tableau Cloud is used by the marketing teams to analyze social media campaign data and enhance user experience with AI personalization. This enables them to continuously refine their understanding of customer preferences as new data comes in, allowing for more agile and responsive marketing strategies. It also helps identify the trends and patterns in customer behavior across different channels and invest in the channel with more ROI.

4. Explore Hidden Insights from Unstructured Data

Unstructured data, such as call transcripts or social media posts, can be challenging to analyze. However, with advancements in AI, Data Cloud makes it easier to search and analyze this data in Tableau.
Industries that deal with large amounts of unstructured data, like insurance or telecommunications, can significantly benefit from this capability. For example, an insurance company can analyze call transcripts to identify common issues and improve customer service processes.
Use Case: The telecom companies use NLP to analyze the text from these interactions, categorizing them by issue type and sentiment. By analyzing the data using Tableau, the companies identify recurring problems, leading to targeted training for customer service agents and quicker resolution times. This results in improved customer satisfaction and reduced service handling time.

5. Custom ML Models

Using Einstein Studio, you can easily apply custom machine learning models to your Data Cloud data. These models can be used to visualize predictions in Tableau, helping organizations across industries make data-driven decisions.
For example, a manufacturing company could proactively use predictive models to foresee equipment failures and schedule maintenance, reducing downtime and saving costs. Similarly, a retail company could predict which products are likely to sell out and adjust inventory levels accordingly.
Use Case: The manufacturing companies incorporate IoT sensor data from the production floor into a Data Cloud. AI algorithms analyze this data, identifying trends and predicting potential machine failures. Subsequently, these predictive models are visualized in Tableau Cloud, affording real-time insights to the operations team. The dashboards showcase real-time equipment status, failure probabilities, and recommended maintenance schedules, enabling the operations team to proactively schedule maintenance, thus reducing downtime and averting costly repairs.

Transforming Industries with Data Cloud and AI

The integration of Data Cloud and AI with Tableau offers unparalleled opportunities for industries to unlock the full potential of their data. From financial services to retail, healthcare to manufacturing, these innovations enable organizations to gain deeper insights, make smarter decisions, and drive business success.
Whether you're looking to streamline data access, jumpstart your analytics, create targeted customer segments, analyze unstructured data, or leverage machine learning models, the combination of Data Cloud and AI in Tableau provides the tools you need to stay ahead in a data-driven world.
Are you ready to transform your business with the power of Data Cloud and AI in Tableau? The future of analytics is here—it's time to embrace it. Connect with us for a free demo: https://www.beinex.com/free-tableau-software

List of Key Features in Tableau 2023.2

1. Enhanced Multi-row calculations in Tableau Prep
2. Line Patterns
3. Personal Access Token Admin Control
4. Editable Viz Alt Text
5. Salesforce Data Cloud Connector
6. Effortless Tracking of Known Issues

1. Enhanced Multi-row calculations in Tableau Prep

Gone are the days of complex formulas and tedious coding. With just a few clicks, Tableau Prep empowers you to perform multiple-row calculations, making your data preparation process a breeze. Calculate the difference from, percent difference from, or even execute moving calculations effortlessly without breaking a sweat.

Tableau Prep's enhanced calculation capabilities are like a magic wand in your hands, eliminating the need for intricate calculations or diving into complicated code. You're now equipped with the tools to effortlessly transform your raw data into actionable insights, paving the way for smarter decision-making and unlocking the true potential of your analytics journey.

Get ready to unleash the full potential of your data with LOOKUP calculations. Seamlessly compose complex expressions that enable you to access and analyse data across multiple rows, empowering you to unveil hidden insights and patterns.

2. Introducing Line Patterns

The next game-changing feature in Tableau 2023.2 is Line Patterns. This exciting addition provides a whole new level of flexibility and customisation when it comes to creating visually stunning data visualisations.

With Line Patterns, you now have the power to choose from a variety of line styles, including solid, dashed, or dotted lines. These patterns allow you to effortlessly highlight specific areas of interest within your visualisations, making it easier than ever to convey complex information with clarity and impact.

Imagine comparing actual data against modelled values with striking visual cues or effortlessly differentiating lines in dynamic or crowded visualisations. Line Patterns give you the ability to create eye-catching visuals that captivate your audience and make your data come to life. No longer will you be limited to static, monotonous lines. Line Patterns empower you to add a touch of creativity and personalisation to your visualisations.

3. Personal Access Token Admin Control

Gone are the days of compromising on security compliance. With this latest release, Site Admins are granted an array of tools to manage PAT creation privileges, tailor their validity periods to organisational needs, and wield their data protection prowess like never before. You hold the keys From a single dashboard to determine who can create PATs and fine-tune their lifespans, ranging from a day to a full year.

But the excitement doesn't stop there! We've taken proactive security measures to the next level. For Tableau Cloud sites created after version 2023.2, PATs come disabled by default, providing an additional layer of protection. Moreover, we've listened to your feedback, and the default expiration period has been thoughtfully shortened to 180 days, aligning with best practices and ensuring optimal data security.

4. Editable Viz Alt Text

With the latest feature, content authors have the power to edit the automatically generated alt text, opening the doors to endless possibilities. Whether through the Data Guide panel or the Accessibility option in the Worksheet drop-down menu, you can now add up to 2,500 characters of detailed alt text to craft captivating descriptions that bring your visualisations to life. Step into a realm of creativity and inclusivity, ensuring that everyone can fully comprehend and appreciate the story behind your data.

5. Salesforce Data Cloud Connector

With Tableau's enhanced Salesforce Data Cloud connector, say goodbye to complex installations as this driverless connector effortlessly connects your data sources. Use Data Spaces, where you can create customised visualisations tailored to specific contexts, organising metadata, data, and processes to empower stakeholders. Enjoy a user-friendly interface that replaces object API names with object labels, making table selection a breeze. With support for 11 additional functions, including datetime capabilities, supercharge your content creation and data analysis processes.

6. Effortless Tracking of Known Issues

We've streamlined the process of tracking known issues, making it effortless to stay in the loop. Discover the centralised Known Issues page, where you can effortlessly monitor the status of experiences, from working as expected to be in review, in progress, scheduled, or deployed. With intuitive drop-down filters, you can easily navigate through Tableau components and subscribe to specific issues for automatic email updates.

Additionally, our revamped Tableau Help now includes comprehensive "Release Notes" documentation, offering insights into new features and updates across Tableau Cloud, Tableau Server, Tableau Desktop, and Tableau Prep. Stay informed, empowered, and ahead of the curve with our enhanced status tracking and knowledge resources.

Upgrade to Tableau 2023.2

The release of Tableau 2023.2 brings a host of exciting features and enhancements that empower users to unlock the full potential of their data. With each release, Tableau continues to evolve and revolutionise the data analytics landscape, empowering users to discover insights, tell compelling stories, and easily make data-driven decisions. Upgrade to Tableau 2023.2 and embark on a data exploration and innovation journey like never before.

If you are interested in learning more about earlier versions of Tableau, click the links below:

Tableau New Features Unveiled: Tableau 2023.1 Release

Tableau Version 2021.4: Bringing Automation to Data Management

How Beinex Can Assist You

Beinex, a premier Tableau partner, provide sustainable analytics solutions to organisations and help to build superior data visual analytics capabilities internally through our bespoke training programs. Our team of Tableau-certified consultants are real-life Tableau business users who are passionate about Tableau and delivering a world-class experience. Connect with us for a Tableau free trial.

1. Generative AI Features in Existing Products

Alteryx is proactively identifying areas where GenAI can improve the productivity and efficiency of its customers. These innovations are integrated into existing tools, such as Alteryx Designer, to streamline processes, automate routine tasks, and enhance the overall analytics experience. For example: OpenAI Connector: Users can now integrate GenAI directly into Alteryx Designer workflows to streamline communication and share data more effectively. AI-Generated Workflow Summaries: These summaries automate documentation processes, helping users enhance governance and auditability.

2. Enterprise-Ready Generative AI Platform

Alteryx’s GenAI platform enables businesses to create, train, and deploy custom AI models that operate securely within their organizational firewall. This approach ensures that data privacy and security are maintained while offering organizations the flexibility to tailor AI models to specific business needs. Alteryx also provides an environment for creating proprietary models that are customized to fit each organization’s workflows, making it easier to integrate AI-driven analytics into everyday operations.

3. New GenAI Applications and Interfaces

Data analytics is a collaborative process that involves various stakeholders, including analysts, data scientists, engineers, and knowledge workers. With Alteryx, these roles can now collaborate in real time through multi-modal analytics powered by GenAI. The flexibility to use different analytical tools—like SQL, Python, notebooks, or Alteryx workflows—opens doors for more seamless collaboration across different teams. GenAI applications like Magic Documents allow Alteryx users to automatically generate insight-rich reports in just a few clicks, drastically reducing time-to-insights and increasing productivity across business functions.

Introducing Alteryx AiDIN

AiDIN is Alteryx's umbrella for all AI-related capabilities, combining existing AI features with cutting-edge GenAI innovations. Alteryx AiDIN enables users to leverage advanced AI models for analytics, whether it's extracting insights, automating tasks, or generating complex reports. Some of the key benefits include: • Improved Time-to-Value: AiDIN accelerates the time it takes to derive insights from data, enabling quick decision-making for critical business tasks. • Increased Operational Efficiency: By automating repetitive tasks, AiDIN frees up time for users to focus on higher-value activities. • Enhanced Governance: Alteryx AiDIN ensures that AI capabilities meet stringent enterprise-grade governance and security standards.
Source: https://www.alteryx.com/blog/alteryx-announces-generative-ai-capabilities

Data Security and Trust: The Alteryx AiDIN Commitment

A key concern in any AI-driven platform is data security and the integrity of AI-generated outputs. Alteryx AiDIN prioritizes these through: 1. Mitigating Hallucinations In generative AI, "hallucinations" refer to scenarios where AI models produce plausible but incorrect information. Alteryx has implemented stringent quality checks and continuous feedback mechanisms to minimize these errors. This ensures that businesses can rely on the outputs generated by AiDIN for decision-making. 2. Fact-Checking Mechanisms Alteryx AiDIN integrates fact-checking tools to verify AI-generated insights against actual source data. This added layer of validation helps organizations maintain the accuracy and reliability of their analyses. 3. Data Privacy and Security Alteryx ensures that data privacy is maintained at all stages of the AI process. AiDIN offers two key deployment options: Private Data Handling and SaaS. Both options provide robust encryption and ensure that sensitive data is securely managed within a customer’s ecosystem, giving businesses peace of mind as they adopt AI.

The Future of AI-Driven Analytics

The integration of GenAI into the Alteryx platform paves the way for smarter, more accessible analytics. With capabilities like OpenAI integration, Magic Documents, and enterprise-level model customization, Alteryx is enabling organizations to maximize the value of their data, improve efficiency, and foster a more collaborative analytics environment. By combining GenAI’s potential with trusted, secure analytics, Alteryx is redefining how enterprises interact with data—delivering faster insights and more impactful results across industries. Get in touch with us for a free demo: https://www.alteryx.com/designer-trial/free-30-days?