These days we are into the 2-D screen of our mobile phones and watch videos and shows and engage in many more activities. But we are not carried away to that place or get immersed in it. Through the metaverse, that is possible. Here you can have an avatar which can act as a replica of your physical self. You can indulge in anything from hanging out with pals, participating in sports or workout sessions, learning new courses or activities, attending events, or shopping.

What are the possibilities Metaverse offers?

Using the limitless opportunities, you can virtually own digital clothing, buy land, construct buildings, start businesses, visit nightclubs and shopping centres, and even buy digital artworks. Non-fungible Tokens (NFTs) are used in the metaverse to digitally represent physical assets like art, music, in-game goods, and videos. They can be purchased and sold online. An evolving business strategy called "Direct-to-avatar" (D2A) makes it possible to sell and buy goods directly to avatars or other digital identities in virtual environments. Here, the possibilities are just boundless. Considering the future prospects, many brands like Adidas, Nike and Gucci, to name a few, have invested in the metaverse. As Gen Z and millennials are already spending a considerable amount of time in the virtual world, it is anticipated that by the end of 2022, the global VR sector will generate over $6.71 billion in revenue, and by 2024, it will be around $12.19 billion.

Metaverse generates value in customer experience by providing real-life interactions and can revolutionise user experience. Let’s see how it can be done:

1. Providing Unique Customised Experiences

Customisation plays a crucial part in today’s business world, as does in the metaverse. Businesses struggle to tailor the experience for each consumer, whether they prefer to purchase online or go to a physical store. Thankfully, the metaverse can guarantee that each customer's experience in an online store is distinctive. Customers can browse products geared toward their unique needs rather than browsing products that are of no interest to them. Additionally, the metaverse encourages connectedness, so consumers may share their experiences with other metaverse users and read reviews of goods and services before making a purchase.

Sports gear giant Adidas is one step ahead of the game by providing virtual gear for the virtual world and metaverse. Major apparel retailers like Macy's, Adidas, and Modcloth have already adopted virtual dressing rooms to enable customers to visualise a garment on their body without actually trying it on. The Swedish furniture retailer IKEA has already released an augmented reality catalogue app that lets you view how various pieces of furniture would look in your home. Nike owns Nikeland, a virtual world which is a free immersive sports space where you participate in sporting events from your computer or phone through your unique avatar.

2. Trials Using Virtual and Augmented Reality

Earlier trials were provided only for digital products, but with the help of the metaverse, we can experience every product virtually. For instance, we can choose a hotel to stay in after virtually experiencing the facilities provided by it. That’s cool, isn’t it? The metaverse uses augmented and virtual reality to give users a fully immersive experience. Customers who engage in immersive experiences may be able to do things that they otherwise might not have been able to do or uniquely do things. From buying lipstick after a virtual trial to buying a car after a virtual drive allows customers to explore and experience more realistically. Customers can currently utilise augmented reality through apps in a limited way, but the metaverse will allow them to experience the product from a close-up and personal perspective. For instance, Hyundai’s mobility adventure enables a vivid virtual experience.

BMW's augmented reality experiences enable automobile buyers to modify their desired vehicles in showrooms with the help of their tablets or smartphones. Alternatively, consumers can don virtual reality goggles to experience what it's like to drive cars, which will help them comprehend their options and select the best option available for their new car.

3. Accessible from Anywhere

The metaverse offers businesses plenty of advertising opportunities, but it also enables customers to interact with the people, places, and brands that interest them. Businesses can provide customers with experiences that let them explore their interests in greater detail without leaving the comfort of their homes and provide free samples of real-world events.

For people for whom it is not always feasible or economical to attend events in real life, the metaverse is the ideal replacement. Through 3D virtual worlds and avatars, users can enjoy affordable front-row access to various events with a level of immersion that must be experienced. Thanks to simple navigation, which places them in a metaverse tailored to their interests.

If you want to go shopping and there is no time for that, you can access it virtually from anywhere. To cite an example, for interior designing of your house, you can try different pieces or types of furniture from a virtual shop by arranging those in a digital representation of your house. Customers could quickly see whether the sofa would go with the colour scheme of their floor or wall or whether a wardrobe would fit in the available area. Ikea, the furniture brand, has already provided virtual experiences for customers. Buying land without the help of an agent is possible through Upland, a virtual real estate software that lets users browse and buy virtual property connected to actual towns and cities.

4. Strengthen Customer Experience

Companies now offer advice and assistance in addition to goods and services. Metaverse enables businesses to develop natural relationships with clients that weren't feasible with earlier forms of technology. Through virtual reality, customers experience ‘story-living’ rather than just ‘story-telling’. Shoppers can have a distinctive customer experience as they can purchase through experiencing it, have opinions about it, interact with other users and ask questions in the metaverse itself.

The businesses are testing out virtual and augmented retail on various platforms. Within the Roblox online multiplayer game, Gucci and Nike have unveiled fashion shows. In Fortnite, Balenciaga has begun offering high-end clothing. Additionally, the South Korean social avatar app Zepeto, Ralph Lauren, and Adidas have introduced interactive experiences. In the meantime, Charlotte Tilbury has established a virtual cosmetic store.

The journey doesn't end with how companies interact with customers in the metaverse. Businesses that use the metaverse's advantages ensure their clients have a customised experience that develops at the same rate as the metaverse. It's time for businesses to be prepared to adopt the impending metaverse and become early adopters before it is too late. Even though the metaverse is the next frontier of internet technology and consumer experience enhancement, massive adoption and accessibility are crucial. It's vital for business owners to begin learning about how these virtual worlds function, what opportunities and problems there are, and how to take advantage as soon as possible.

Understanding the initiatives of your competitors offers you the edge to keep advancing and differentiating your business. Your company can gather information and keep track of competitors with the help of competitive intelligence. This knowledge can be a helpful planning tool for making future company decisions on your own.

Competitive Intelligence (CI) is a vital component of every corporate strategy. It entails gathering and analysing data regarding a company's market, including that information's competitive environment, competitors' offerings, target markets, and business strategies.

Making sound decisions with the information you have acquired is the key to effective competitive Intelligence research; gathering the information is just one small aspect of the process.

A thorough examination of the competitive environment in your industry is the foundation of effective CI. You can acquire a comprehensive overview of competitor data by using your internal team of CI and industry experts or your sales team to assist you with conducting essential market research.

Who Uses Competitive Intelligence and in What Sectors?

Many industries use competitive intelligence to inform advancements in operations, technology, customer satisfaction scores, market entry or market defence strategies, and more. The following list of sectors contains six.

1.Technology

The technological sector appears to advance at megabit rates. Consumer expectations modifications frequently coincide with changes in broader technical access and affordances, and many companies are competing to offer the most cutting-edge consumer and business technology products. CI improves new or relaunched times-to-market, warranty and customer service operations, user experience (UX), employee recruitment and retention and sustainable organisational structures in the technology sector.

2.Medical care

Significant government rules are navigated by those working in the healthcare sector as the insurance market, market participants, and patients as consumers. Competitive intelligence can help the healthcare sector in pricing analysis, supply chain management and vendor or third-party administrator relations.

3.Biotechnology and prescription drugs

Pharmaceutical and biotechnology businesses operate in a high-cost, multifaceted market with a complex regulatory environment, like the healthcare sector. For individuals working in the life sciences, medical device, pharma, and medical specialisation industries, competitive monitoring and integrative analytics reduce operational risks by improving salesforce operations and structures, drug approvals and drug launch planning, market entry and gains strategies, consumer awareness campaigns surrounding treatments, therapies, and prescriptions

4.Industrial and Manufacturing Sectors

The 21st century has seen a significant revolution in commercial and industrial manufacturing. The manufacturing industry's environment has been permanently changed by scaled-up international rivalry, new automated technology, and evolving supply and demand patterns. Manufacturers regain control thanks to competitive intelligence, which enables them to maximise their advantages today while reducing market risks tomorrow. Competitive Intelligence assists in Supply chain management, Distribution strategies, Supplier and vendor relations, and go-to-market models

5.Consumer Goods

The consumer goods and retail sector include enterprises of every size and speciality, offering anything from domestic furnishings to personal hygiene items, online clothes stores to sparkling flavoured water. CI consulting explores prospects for retailers to improve brand reputation, consumer activity assessments and profiles, emerging and disruptive technology preparedness and local and global market entry.

6.Financial Services

Consumer opinions in the financial sector depend heavily on external factors like trust and openness. Internally, operations compromise the requirement for compliance and how disruptive technology alters traditional banking, lending, investing, and financial advice. Key capabilities enhanced by financial service CI include profitability and cost analysis, brand reputation, brand and service evolution, customer support channels, market risk modules and new entry market profiles.

Top Five Benefits of Competitive Intelligence

1. Recognise the next steps of the opposition

By participating in CI and performing competitive analysis, you may monitor potential future opportunities and threats for your industry. You will have an advantage if you can predict what your competitors will do next. This will allow you to adopt tactics before they do or turn things around to make yourself stand out from the crowd.

Perhaps the lack of data privacy in your industry is drawing criticism. Using CI, you can predict what your competitors would do in response and decide whether to join them or take a different stance to make a point.

2. Maintain a competitive edge

Researching competitive intelligence may take some time, but you'll gain by always being one step ahead of the competition. In an ever-evolving industry, you must appeal to customers and their desires if you want to flourish. Use CI to identify which rivals in your sector aren't taking needs or trends into account and take the initiative to do so in your own business.

3. Key to strategic judgement

Data is the foundation of a successful competitive intelligence strategy; thus, it makes sense that this would result in more strategic decision-making. You'll discover that to be successful in your CI journey; you must back up your decisions with data.

Competitive intelligence explains the value of objective data and will assist you in making better judgments grounded rather than mere speculation. It is your responsibility to fix any gaps in your market identified by the data you gathered during CI and to put new business practices into place.

4. Internal Information Gathering

While obtaining information on competitors emphasises competitive intelligence, the organisation may also collect your company's data. This internal evaluation gives you a sense of how your business is doing, where you are excelling, and where you need to put more effort into it. You can make decisions using the regular information a competitive intelligence organisation might supply about your business. This is especially helpful if the company is vast and has numerous departments that must be controlled. It helps your business boost products and service speed to market.

5. Boost Product and Service Speeds-to-Market

The term "speed-to-market" describes how quickly a good or service is developed and made available for purchase by the public.

Average speed-to-market timeframes will differ depending on the industry, as will the elements involved in developing, testing, and releasing a new commercial product. It is increasingly crucial for a company in that sector to increase its speed-to-market deliverables without compromising quality as the ecosystem for a product or service becomes more competitive. CI research with a market focus improves time-to-market, market-entry, and market defence skills.

The business world today is among the most competitive it has ever been. To survive in the information age, you need to have competitive intelligence. Although businesses have long informally gathered intelligence on their rivals to get an advantage, the combination of technology with the field of competitive intelligence has made it 10x more successful than ever.

Beinex

By providing insights gleaned from relevant web sources, AI-powered markets and competitive intelligence tools can give you a comprehensive view of your market and competitive landscape. The insights from each source provide a perspective you may use to gain a competitive advantage.

Role of Beinex

We are pioneers in providing 100% population-based strategic decision-making solutions with unique capabilities in extensive data harvesting. Beinex offers highly interactive competitive intelligence solutions for agile and data-driven enterprises of all sizes and categories. From Big data harvesting to enterprise reporting and mobile competitive intelligence solutions, we offer a suite of end-to-end big data CI solutions. These enable intelligent business moves and improved operational efficiency resulting in increased profit and happier customers.

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.

How User Roles and Permissions Facilitate Implementing Data Governance

The Alteryx Server helps enterprises implement effective data governance by ensuring every user operation is based on pre-defined user roles and permissions. It optimizes processes and access control and ensures data integrity. User Roles Defining user roles helps businesses ensure a safe and efficient analytics setting that aligns with best data governance practices. Each role assigned to users ensures they have the right level of access to perform their tasks. • Curator /Server Admin: Accessing the admin interface to run administrative tasks- crucial in enforcing governance policies. • Artisan: Publishing, running, and sharing workflows in their private studio and shared collections- ensures control over their workspace. • Member: Running workflows that are shared with them via collections – supports collaboration without giving excess control while adhering to data regulations. • Viewer: Running public workflows on the Server UI home page and in districts – ensures workflow integrity by limiting them to consumption roles. • No Access: No access to all Server assets- ensures data security for confidential data. User Permissions Besides user roles, you can set user permissions to decide what users can do in the Server UI. User permissions are paramount to upholding robust data governance and ensuring that users can only perform tasks within their scope of responsibility. • Scheduling workflows to run at a planned time – ensures timely task completion without manual intervention. • Prioritizing jobs to run those with the highest priority first- facilitates effective resource allocation and alignment with requirements. • Tag a specific worker to run a workflow- ensures resources are allocated right. • Create new collections within a defined structure- supports collaboration without risking data privacy. • Granting server API access to users- enables task automation without compromising governance • Allowing users to create or edit DCM assets- controls access to shared credentials and connections. • Sharing DCM Connection Credentials to run on the server- ensures data security, which is crucial for governance. • Sharing DCM Connection Credentials for collaboration- strengthens data governance by securely handling confidential and sensitive data. • Managing generic vaults- enables secure handling of credentials and sensitive data. • Blocking the user from accessing the Server UI- ensures that only authorized individuals can interact with sensitive data.

How to ensure Effective Data Governance?

For organizations to cater to their specific requirements, implementing and maintaining an effective data governance process is required, which is briefed below:  • Identifying the data assets of your organization. • Classifying your data based on significance and prioritizing data governance actions • Ensuring accuracy, completeness, and consistency of your data for efficient data quality management. • Safeguarding data from unauthorized access • Controlling data access, including giving and withdrawing access to data • Managing your organizational data throughout its lifecycle

Data Governance in Alteryx: Best Practices

The blog gives you a walkthrough of the best practices about how Alteryx handles data governance by ensuring data management and quality.

1. Authenticating and Authorizing Data: The initial aspect to address in data governance strategies is how data is accessed. Alteryx supports the existing safety measures implemented at the database level; it utilizes your username and password when connecting to your data. These credentials authenticate users and ensure they can only access the data permitted. Alteryx also supports pass-through authentication, facilitating access to data using network identity and authenticating users with the same credentials they use for access. It eliminates the need to manage separate usernames or passwords within Alteryx. In short, Alteryx easily integrates with your organization's existing security infrastructure, leveraging authentication mechanisms to ensure secure data access. 2. Managing Data Effectively: A standout factor in Alteryx's data management is that it does not require the creation of a distinct persistence layer for data storage during processing. The Alteryx server is designed to support multi-tenancy, using in-memory processing and handling temporary data in a sandboxed setting. This means that a single instance of an Alteryx Server can manage multiple workflows simultaneously. Different departments can use the same platform without the risk of unauthorized data access between them. 3. Tracking Data Lineage The drag-and-drop interface of Alteryx offers robust visualizations of the transformations occurring within the workflow. Organizations get a detailed knowledge of the data sources, how they are collected, prepared, blended, and analyzed, the workflows being run, and the count of records read and written. 4. Defining Data Ownership and Stewardship Establishing clear data ownership and stewardship and assigning responsibilities for data sets and workflows is important, especially in an environment like Alteryx where multiple users engage with data. Data ownership is about taking responsibility for the accuracy, privacy, and availability of a data set. Data Stewardship ensures data integrity and quality by implementing policies and ensuring proper documentation. Defining these roles clearly within the organization fosters accountability and reduces data misuse risk. 5. Leveraging Metadata and Data Cataloging Metadata is integral to comprehending your data's context and lineage. The Alteryx Connect tool helps handle metadata and build a centralized data catalog. Data catalogs allow users to discover available data easily, track where the data comes from, and enhance collaboration by sharing and reusing datasets and workflows. 6. Ensuring Data Security and Access Controls When using Alteryx, enforcing appropriate security measures ensures that only authorized users can access sensitive data. To minimize the risk of a data breach, Alteryx helps organizations by providing robust user access control options, supporting encryption of sensitive data, and establishing validating processes for workflows. 7. Monitoring Data Quality Data quality is paramount to effective data governance. Alteryx streamlines and automates data quality monitoring by: • Providing data profiling and validation tools to check for duplicates, inconsistencies, and missing values. • Utilizing Alteryx Server to schedule periodic audits, maintaining data integrity over time. • Setting up alerts or automated reports to notify data owners or stewards of any data quality issues that arise. Data governance is beyond data management. It extends to the policies and processes that decide how an organization should use data while aligning with its goals. With effective data governance, businesses can boost data accuracy and security, enhance efficiency, and boost business value by complying with regulations, tracking data quality, and eliminating discrepancies. With Alteryx's built-in capabilities and powerful tools, organizations can manage the multidimensional challenges of data governance.

When the sliver of thought -- that we have seen all that Tableau can do -- crosses our mind, just pay witness to a meteor shower of new features lighting the horizon up! Tableau is officially upgraded to 2021.3. Tableau 2021.2 was a remarkable update in itself: it included ‘ask and explain data’ for viewers, allowing connected desktops, Collections, and many more valuable options and features. So, what does the latest upgrade feature? In one go, the following list encapsulates the whole gamut of supplements:

1. Improvements to Data Prep Experience
   1. Linked tasks
   2. Generate rows
2. Improvements to Tableau Catalog
   1. Data quality warnings in subscription emails
   2. Inherited descriptions in web authoring
3. Slack Integration
4. Additional Features
   1. Customise the set of workbooks on the homepage
   2. Rename published data sources directly in Tableau Online or Server

Improvements to Data Prep Experience Tableau Prep, an indispensable backstage prior to staging your real and original data show, has found a high-power addition. With Linked Tasks in Tableau Prep Conductor, one can now bring enhanced harmony to his data preparation. Creators with Data Management or DM can now schedule flows to run one after the other on Tableau Online or Server. This feature has a wide range of applications; for instance, if the sales data for a designated time is yet to show up on the system and fails at source for some reason and there are multiple flows connected to that data source, stale data issues will unnecessarily pop up in all the workflows. With linked tasks, this issue can easily be prevented from manifesting. Linked Tasks on, it’s now simple to automate the orchestration of multiple flow jobs, ensuring they happen in sequence after each task completes successfully. Essentially, if your data didn’t update and there are two workflows linked to the same datasets at different time intervals, they both run, consuming time and resources; the scenario can be avoided, and the other linked task can be stopped from running; thanks to the new feature. A multitude of benefits come power-packed as the feature unfurls:

• Authors of a flow can get alerted automatically provided any of the jobs fail and can set up an appropriate warning on the data for consumers well in advance.
• Any flow can be scheduled by customers, or they can extract refresh to run when new data arrives, saving them time and resources.

Please see Image 1 to have a better understanding.

(Image 1: Linked Tasks on Tableau Prep)

Besides, Tableau Prep Conductor can generate a set of rows that are otherwise missing based on dates, date times, or integers. This is of huge importance as it allows users to fill gaps in data quite easily to ultimately ensure that processes downstream have all the requisite datasets to work on and create highly accurate and precise visualisations. Please see Image 2 for a quick understanding of the feature:

(Image 2: Generate rows on Tableau Prep)

Improvements to Tableau Catalog Next in the line comes improvements to Tableau Catalog. Two features need special mentioning:

1. Data quality warnings in subscription emails, and
2. Inherited descriptions in web authoring

Data quality warnings are of paramount importance. Accurate warnings, when they are around, lends confidence to the customers that the right, trusted data is being utilised to arrive at sound business decisions. Formerly, this was restricted to Tableau Online or Server, but now it is delivered straight into your inbox bundled with the subscriptions to the dashboards you care for. The power of data visualization with visibility into the quality of the data feed add top-notch credibility and renders confidence to the customer who spends a good portion of the day paying attention to emails. In the 2021.3 version, Data Quality Warnings are available in Web Authoring. This will soon be available in Tableau Desktop as well. Slack Integration Yes, Tableau notifications can now be directly accessed on Slack! Admins and Users will control what notification types can be dispatched on Slack. Notifications include:

• Shared content
• Data-driven alerts
• @mention

This is just the commencement of the Tableau + Slack integration. Other Stellar Features Up until the upgrade, the same three sample workbooks have occupied the Desktop Homepage of Tableau. They may give a good starting point for new users to get acquainted with Tableau. But the datasets were always generic and did not get updated. Now with the customizable set of workbooks on the home page, this has undergone a radical change. (See image no.3)

(Image no.3)

Add to this the ability to rename published data sources directly in Tableau Online or Server on the data source page; the upgrade is a real treat to data rockstars. (See image no. 4) Practitioners point out that The REST API can also be used when changing a large number of workbooks to minimise efforts.

(Image no.4)

No need to generate a newly published data source to change the name. No need to manually change all workbooks on the Desktop to use that newly published data source, which was highly frustrating! So, welcome to Tableau 2021.3. Let us uncomplicate and perpetually so! Co-Author : Rakesh Neelakandan