Tableau 2025.1 at a Glance

• • Converse with Tableau Agent in six new languages using conversational AI.
• • Connect Tableau Cloud to AWS data securely with Private Connect.
• • Track KPIs on the go with a redesigned Pulse mobile homepage.
• • Programmatically access published data sources using VizQL Data Service.
• • Explore new features early with Tableau Cloud preview websites.

Let’s dive into the new updates in Tableau 2025.1:

1. Tableau Agent Multilingual Support

Perform multilingual data analysis. It is now possible for users to converse with Tableau Agent (and Tableau Pulse!) in French, Italian, German, Spanish, Japanese, and Portuguese. More people can now access conversational analytics in their native language.

With conversational AI, the Tableau Agent helps users navigate from data curation to exploration and accelerates all phases of analysis with generative AI. Additionally, because it is based on the Einstein Trust Layer, businesses can be assured that their data will remain safe, secure, and accessible only as intended.

2. Private Connect for Tableau Cloud

Use a dedicated, private connection to safely link Tableau Cloud to AWS data. Private Connect establishes a secure connection between Tableau Cloud and AWS data, ensuring your data remains private and is not made publicly available.

3. Revamped Tableau Pulse Homepage on Mobile

The redesigned Tableau Pulse mobile homepage enhances users' ability to engage with data on the go. With a side-by-side view of at least three key metrics, it allows for instant comparison and faster insight generation.

The clean, intuitive interface enables users to easily spot patterns, track trends over time, and take action quickly, without needing to dig through dashboards. Whether you're monitoring sales, operations, or customer engagement, Pulse ensures your most important KPIs are always within reach.

4. API for VizQL Data Services

VizQL Data Service is an innovative API that allows you to access published data sources in Tableau through programmatic queries rather than visualizations. Designed to maximize the versatility of your Tableau assets beyond traditional visualization, VizQL Data Service helps you tap into the analytic power of your data model anywhere.

It facilitates automating data processes by allowing you to run programmed queries directly on your data sources. By utilizing pre-existing Tableau connectivity and data models, you may more effectively design sophisticated, data-driven apps. You can now utilize your data models in any context, breaking free from the confines of visual tools.

5. Tableau Cloud Preview Websites

Tableau administrators can stay ahead of the curve by gaining early access to upcoming updates through release preview sites. This allows teams to test new features in advance, understand functional changes in a hands-on environment, and evaluate how updates will affect their organization’s unique dashboards and workflows—ensuring a smooth transition when the full release goes live.

In a Nutshell

The Tableau 2025.1 release brings a bunch of exciting updates to make working with data easier, smarter, and more secure. Now you can chat with Tableau Agent in multiple languages, get help with data prep and analysis using natural language, and connect securely to your AWS data using Private Connect. The refreshed Pulse homepage on mobile lets you track and compare key metrics at a glance, helping you make faster decisions wherever you are. Plus, with the new VizQL Data Service, developers can now access and use data directly, without relying on traditional dashboards. And if you're a Tableau admin, you get early access to test new features before they go live, so your team is always ready for what’s next.
Source: https://www.tableau.com/en-gb/2025-1-features

In the last few years, the KSA market has witnessed a definitive shift to self-service consumption tools anchored in data democratization. The transition is of paramount importance for products that can scale at an enterprise level, AI-ML products, and those that can address data governance and quality management issues.

The shift is also significant for enterprise transformation catalysts that take an ecosystem approach with proven expertise in developing and executing comprehensive and unified data strategies, data engineering and data governance paradigms.

Thus the time is ripe for an innovation-led, experience-driven enterprise like Beinex to spearhead Digital and Analytics Transformations in KSA.

[sc name="quote" quote="“Beinex is pleased to formalize its presence in the KSA market by opening an Office in Riyadh. We, as an enterprise, are 100% aligned with Vision 2030 as put forth by the KSA and see tremendous value getting unlocked as the vision is realized. We look forward to expanding our footprint in the domains of Artificial Intelligence, Sustainability, Digital Transformation, Analytics and allied areas. The Kingdom envisions itself to be at the forefront of data and artificial intelligence-based economies, and Beinex is committed to playing its part in supporting and fulfilling this vision,”" author="Indumon Das, Founder and Managing Director of Beinex,
marking the occasion of the office’s opening, noted."][/sc]

Middle East Banking AI & Analytics Summit

Beinex is super excited to be a part of the 6th Middle East Banking AI & Analytics Summit on May 10, 2023. With the motto, "Accelerating Innovation in Banking with AI and Analytics Strategies", the summit aims to revolutionise the financial and banking space in KSA using AI. We are ready to witness and participate in panel discussions, fireside chats, keynote presentations, roundtable discussions, and conversational Q&A sessions with thought leaders on exploiting the Power of AI and Analytics for a futuristic banking ecosystem.

Middle East Enterprise AI & Analytics Summit

Also, we are enthusiastic to participate in the Middle East Enterprise Al and Analytics Summit on May 11, 2023. Its vision is to curate a world-class platform for tech leaders in the region to connect, communicate and collaborate under the theme "Accelerating Innovation in Enterprises with Applied Al and Analytics Strategies". Beinex is looking forward to connecting with thought leaders and high-level decision-makers in Al, and Data Analytics at #MEEAI 2023 to participate in discussions and to be a part of the transformation journey.

The Power of Beinex

Beinex drives a cohesive, unified digital ecosystem to help customers address their needs, assess products and operations, understand market requirements and evaluate overall business performance.

It is a multinational firm exploring the endless possibilities of data for Cloud, Analytics, Artificial Intelligence, Machine Learning, and Automation. In effect, Beinex architects, guides, leads, and implements solutions in Analytics, AI, and ML for the spheres of Digital Transformation, GRC, and Risk & Audit Transformation.

Partnerships make Beinex stronger. The company has solid partnerships with some of the leading technology firms, research labs, and universities around the globe. Businesses can leverage the power of the Beinex partner ecosystem to maximize the value of their end-to-end analytics journey.

Beinex Digital, a part of Beinex Holdings, is a digital transformation entity with a comprehensive suite of independent products focused on addressing specific business gaps, use cases, and needs. It incorporates a spectrum of solutions in the domains of Employee Health, Safety and Environment, Enterprise Product Management and Enterprise Performance Management.

Beinex is also the product champion for Aurex – Augmented Risk and Audit Analytics – a unique single-platform solution for Integrated Risk Management, Governance, Audit, Compliance, BCM, and Analytics functions. It is the first-of-its-kind product that streamlines risk and audit verticals for enterprises worldwide and is a Unified Digital Assurance Ecosystem.

Present in three continents, Beinex enables its clients to analyze data, mitigate risks, identify opportunities and automate processes.

Beinex Office Address (KSA):

Beinex Advanced Information Technology
3141, Anas Bin Malik,
8292 Al Malqa Dist
P. O. Box 13521,
Riyadh, Kingdom of Saudi Arabia
Email: Info@beinex.com

What is an AI-based Dictionary Attack

Cyberattacks , known as "dictionary attacks", attempt to crack passwords by using a list of terms from a dictionary. Every word in a dictionary is tested in a traditional dictionary attack until the correct password is discovered. However, using AI algorithms, attackers can now create custom dictionaries based on information about the victim, such as their name, birthdate, and social media activity. These algorithms can analyse large amounts of data and identify patterns to create more accurate and effective dictionaries. As a result, these attacks are becoming more sophisticated and challenging to defend against.

How Do AI-based Dictionary Attacks Operate

AI-based dictionary attacks are far more successful than conventional techniques because they use machine learning algorithms to recognise and forecast patterns in the data. These algorithms look for patterns and correlations in the data and build models that can predict passwords using methods like deep learning, neural networks, and natural language processing.

Attackers can compile customised dictionaries more likely to contain the victim's password by gathering information about their targets from social media platforms and other internet sources. They also have access to reinforcement learning algorithms, which allow them to learn from their errors and gradually increase their success rate. As a result, these attacks may be pretty successful and challenging to identify.

How to Defend Against AI-based Dictionary Attacks

Employ Secure Passwords: One of the most excellent strategies to fend off dictionary attacks is to use secure passwords that are difficult to guess. Long passwords with a mix of capital and lowercase letters, digits, and special characters are recommended. An example is cited below:

Regular Password: Akh!l@5991
Secure Password: VS654a!4@s6d546

Implement Multi-Factor Authentication (MFA): By demanding users to enter two or more forms of identity when logging in, MFA adds an extra layer of security. This might require a user's phone to receive a one-time passcode or a fingerprint scan.

Limit Login Attempts: Organisations can restrict how many times a user can try to log in before being locked out. This stops an attacker from trying numerous passwords and guessing the right one.

Monitor User Behaviour: By monitoring user behaviour, businesses can spot suspicious behaviour, such as recurrent login failures or odd login locations. Security personnel should be aware of a potential attack, enabling them to take precautions.

Implement AI-Based Security Measures: Businesses can also put their own AI-based security measures in place to fend off dictionary attacks. AI algorithms can spot and stop suspicious activities or look for trends in user behaviour to spot future attacks.

Summing Up

Dictionary attacks based on AI are growing more complex, making it harder to defend against them. Yet, organisations can significantly lower their chance of being a cyber-attack target by implementing the techniques mentioned above. To protect the security of the business, it is also crucial to keep aware and informed on the most recent cybersecurity trends and dangers.

Do you find it difficult to navigate this new realm? Do you find AI & Automation difficult to implement? How resilient is your AI & Automation power?

Beinex AI & Automation Services puts you at ease, literally. From NLP-NLG Chatbots to Syntax Migrators to Predictive Modelling to Web Scraping to Social Media Analytics, we offer a range of AI and Automation services that can streamline and automate many of your redundant workflows within a short turnaround time.

AWS + Tableau: Together, a Match Made in Data Heaven

By embracing the synergy between Tableau and AWS, you're not just investing in tools; you're investing in a future fueled by data-driven insights. This powerful combination paves the way for a more agile, data-centric organization ready to thrive in the ever-evolving digital landscape. The digital landscape is evolving rapidly, and businesses are increasingly turning to the cloud for their analytics needs. This shift is driven by the cloud's ability to:

1. Faster Time to Insights: The seamless integration between Tableau and AWS allows you to quickly get up and running with your analytics, enabling you to make data-driven decisions sooner.
2. Effortless Data Management: Leverage the power of AWS data warehousing and management services to ensure your data is clean, organized, and readily accessible for analysis in Tableau.
3. Advanced Analytics Capabilities: Tap into the power of AWS machine learning and artificial intelligence services to uncover hidden patterns and gain deeper insights from your data within the Tableau environment.
4. Handle complex data integration: Seamlessly connect and analyze data from various sources, regardless of size or location.
5. Empower self-service analytics: Enable users to explore and gain insights from data independently, fostering data-driven decision-making across the organization.
6. Support digital transformation: Meet the growing demands of digital transformation with scalability, flexibility, and cost-efficiency.

Image source: https://aws.amazon.com/solutions/partners/tableau-server/

Tableau: The Master of Data Visualization

Imagine transforming raw data into captivating, interactive visualizations that tell a clear story. Tableau is a game-changer in the world of data visualization. It empowers users of all technical backgrounds to:

1. Connect to Diverse Data Sources: Tableau seamlessly connects to a wide range of data sources, both on-premise and in the cloud. This includes databases, spreadsheets, cloud applications, and even big data platforms.
2. Effortlessly Drag-and-Drop Analysis: The user-friendly interface allows users to drag and drop data fields, explore trends, and create stunning visualizations without writing a single line of code.
3. Craft Interactive Dashboards & Reports: Go beyond static reports. Tableau empowers you to create dynamic dashboards that users can interact with, filter data, and gain deeper insights on the fly.
4. Foster Data-Driven Culture: Tableau democratizes data by making it accessible and understandable to everyone in the organization, fostering a data-driven culture where decisions are based on evidence, not intuition.

AWS: The Cloud Powerhouse for Scalability and Security

While Tableau excels at data visualization, the underlying infrastructure needs to be robust and scalable. This is where AWS, the world's leading cloud computing platform, comes into play. Here's how AWS empowers your Tableau deployment:

1. Unmatched Scalability: AWS offers virtually limitless scalability to accommodate your growing data volumes and user base. As your data needs evolve, your cloud infrastructure can easily scale up or down to meet those demands.
2. Enhanced Security: Security is paramount when dealing with sensitive data. AWS offers robust security features and compliance certifications, ensuring your data remains protected throughout its lifecycle.
3. Cost-Effectiveness: The pay-as-you-go model of AWS allows you to optimize your costs. You only pay for the resources you use, eliminating the need for upfront investments in expensive hardware infrastructure.
4. Wide Range of Services: AWS offers a comprehensive suite of services beyond just compute power. These services include data warehousing, machine learning, and data management tools, giving you a complete cloud ecosystem to manage your entire data pipeline.

Tableau and AWS work together to accelerate your digital journey with Modern Cloud Analytics (MCA). Let’s see how:

Modern Cloud Analytics: A Collaborative Powerhouse

Modern Cloud Analytics is a collaborative initiative leveraging the expertise and resources of Tableau, AWS, and their extensive partner networks. Its objective is to maximize the value you extract from your data and analytics investments throughout your entire digital transformation journey, encompassing:

1. Data Strategy and Migration: Develop a comprehensive plan to securely and efficiently migrate your data and analytics operations to the cloud.
2. Optimization: Fine-tune your cloud analytics environment for peak performance and cost-effectiveness.
3. Deployment and Scaling: Securely deploy and seamlessly scale your Tableau environment on AWS to adapt to your evolving needs.

Benefits of Modern Cloud Analytics:

1. Faster Time to Value: Get up and running with cloud analytics quickly, enabling data-driven decisions sooner.
2. Reduced Costs: Leverage the cloud's inherent cost-efficiency and scalability to optimize your analytics spending.
3. Minimized Risks: Mitigate potential risks associated with cloud adoption by utilizing validated migration processes and expert guidance.

Unified Integration for Unparalleled Insights

Tableau and AWS offer a comprehensive solution for cloud-powered organizations. Both Tableau Server and Tableau Cloud operate flawlessly on AWS infrastructure, providing you with:

1. Effortless Data Access: Streamlined workflows and effortless access to data stored within various AWS sources directly within the AWS ecosystem.
2. Market-Leading Connectivity: Tableau serves as the ideal platform for analyzing data residing in diverse AWS data sources like:
3. Amazon Redshift: A blazing-fast data warehouse designed to handle large datasets with efficiency.
4. Amazon RDS: A managed relational database service offering high availability and scalability.
5. Amazon EMR: A managed Hadoop framework for processing and analyzing massive datasets.

Enhanced Security and Broader Connectivity

Tableau's commitment to continuous improvement extends to its AWS integrations. Here's a glimpse into the exciting advancements:

1. Enhanced Security: The updated Amazon Athena connector now supports secure authentication using third-party identity providers like Azure AD and Okta, adding an extra layer of security with multi-factor authentication options.
2. Expanded Connectivity: The Tableau Exchange offers a plethora of new connectors, further extending your connection options within the AWS ecosystem.
3. Amazon OpenSearch Connector: Effortlessly visualize and analyze data residing in Amazon OpenSearch.
4. Amazon DocumentDB Connector: Gain valuable insights from your DocumentDB data through seamless interaction.
5. Amazon Neptune Connector: Explore connections within your data by directly connecting to your Neptune graph database.

By embracing the synergy between Tableau and AWS, you're not just investing in tools, you're investing in a future fueled by data-driven insights. This powerful combination paves the way for a more agile, data-centric organization ready to thrive in the ever-evolving digital landscape.

How Beinex Can Assist You

Beinex is a premier Tableau partner and AWS consulting partner providing sustainable analytics solutions to organizations. Our Tableau and AWS-certified consultants help organizations build superior data visual analytics capabilities through bespoke training programs. We empower customers to host their BI solutions on the cloud with AWS infrastructure as a service. Get in touch with us for free trials and experience our expertise in providing analytics and cloud solutions.