How Atlantis Dubai Standardized Interactive Data Visualization by Implementing the “Tableau Server” Platform on AWS that Drove Faster and Smarter Decisions Leading to 11% Increment in Hotel Bookings

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How AI Decision-Making is Improving Enterprise Outcomes

While sharing the content, permissions can be given to each user that restricts them from editing, applying different types of filters, and sharing it further. Users can create apps and add specific visuals to create live dashboards that can be accessed through smartphones and tablets. Moreover, one can collaborate with other designers and administrators to work together and create highly customized reports for a particular field.

Challenge

The IT infrastructure of Atlantis where the Tableau Server platform was hosted was in an on-premise datacenter which was designed to be scalable and robust with multi node physical clusters including the server, storage and network components. However, most of the physical hardware was quite old and not equipped with the latest generation of physical servers.
Frequent hardware crashes and portal downtime kept troubling the availability of the Tableau Server application. Assigning a touch hand support person to power on the hardware that was down seemed quite impossible due the restrictions during covid period. Hence, Atlantis wanted to look for another viable solution.
Though the hardware setup at Atlantis was well equipped to meet the occasional spikes in the traffic, it was observed that over a course of 6-month time, most of the IT infra was underutilized than predicted. It was realized that spending huge amount of money on an old hardware plus software maintenance, license costs, internet bandwidth, datacenter cooling and maintenance, touch support personnel and electricity costs – were keeping the business operations challenging.
There was an attempt by Atlantis to select a cost-effective solution that can host Tableau Server application servers, web servers and archival data. This way IT infra can be re-provisioned to host sensitive data on-premise and the rest on the cloud, thereby reducing the overall physical hardware costs spent on a yearly basis.

Why AWS

Atlantis decided to migrate Tableau Server, database servers, and archival data to AWS.
The Tableau Server’s AWS architecture includes Amazon Elastic Compute Cloud (Amazon EC2), that provides complete control of its computing resources, updates to tables in Amazon Relational Database Service (Amazon RDS) and AWS Elastic Load Balancer was used to distribute the traffic to the underlying EC2 instances based on the load.

Benefits

Atlantis uses AWS services to provision infrastructure and deploy the Tableau Server platform to other departments within it. In addition, the Tableau Server resources that are no longer required to be run all the time are made to auto shutdown thus saving cost. Atlantis reported a 28% cost reduction after implementation of AWS for the Tableau Server platform.
The implementation of Tableau Server on AWS made Atlantis confident in the security of its data, and its accreditation team is enthusiastic about the monitoring and auditing capabilities provided by AWS tools. With the implementation of IAM roles, Atlantis IT team was able to isolate systems and tightly control user accesses. These capabilities were harder to achieve within the existing infra but were available out of the box with AWS
By adopting AWS to host the Tableau Server platform, Atlantis has been able to innovate and experiment to a degree previously impossible. For example, Atlantis compared the performance and cost-effectiveness of three different cloud solutions. Without moving to the AWS, the costs associated with running an outdated on-premise hardware would have creeped up and the alternative way of upgrading the existing on-prem infrastructure to the latest hardware models and then hosting the Tableau Server application on top of it would have taken months.

About Tableau Server

Tableau Server is an online platform that allows users to host and manage Tableau data sources, workbooks, reports, and dashboards created on Tableau Desktop. One can access Tableau Server from a web browser to create new workspaces, publish reports and dashboards, and share them with other users.

Beinex Recognized as a Leading Consulting Firm in the Middle East by Consultancy-me

Accolades We Are Proud Of

Beinex earned top rankings across multiple domains: • Platinum in Business Intelligence • Gold in Data Science • Gold in Cloud Services

Industry-Specific Excellence

Our industry-focused consulting capabilities have also been recognized, and our ranking level is as follows: • Government Industry: Gold • Oil & Gas Industry: Gold • Public Sector Industry: Gold • Technology Industry: Gold • Banking Industry: Silver

A Milestone of Achievement

These accolades reaffirm our position as a trusted consulting partner for businesses and government entities across the Middle East. Our success is driven by a team of passionate professionals, innovative technologies, and strategic partnerships. Looking Ahead As we celebrate this achievement, we remain committed to delivering transformative solutions that empower businesses worldwide. Thank you to our clients, partners, and team members for making this success possible. If you are interested in our services, feel free to connect: https://beinex.com/contact-us/

Automation: Streamlining Repetition

Automation revolves around instructing machines to follow predefined rules. In this scenario, humans set the rules, and machines execute them. The primary objective of automation is to alleviate humans from monotonous, repetitive tasks that are tedious and error-prone.

Human performance in repetitive tasks often leads to boredom and mistakes. Machines, on the other hand, excel at such tasks, executing them with precision and at a faster pace. Moreover, they don't require sick leave or vacations, offering convenience to employers. It's important to note that not all tasks are suited for automation, and humans should view it as a tool that complements their capabilities, freeing them to focus on tasks demanding critical and creative thinking.

Artificial Intelligence (AI): The Cognitive Companion

While sharing some objectives with automation, AI operates entirely differently. If automation represents the "arms" of a robot, AI constitutes its "brains." AI is not about executing repetitive tasks; instead, it aims to emulate human cognitive processes and make decisions based on observations, patterns, and past outcomes.

Unlike automation, AI is designed to learn and adapt autonomously. It can process data, recognise patterns, and act on insights gained from its analyses. This ability to learn and act independently sets AI apart from automation.

While some envision AI as a potential threat, it's essential to remember that current AI systems, often referred to as Narrow AIs, are specialised for specific tasks. They lack the breadth of human intelligence and are limited to the domains they were trained for. For instance, a healthcare AI may excel at diagnosing medical conditions but struggle in other contexts, like playing chess.

How AI and Automation Combine for Optimal Results

Having explored the distinctions between AI and automation, it's crucial to understand how they intersect and collaborate in practical applications. Both AI and automation rely on data, but their roles in data processing differ significantly. Automation gathers and manages data, while AI interprets and acts on it.

Certainly, here are a few examples illustrating the combined effect of AI and automation in practical scenarios:

Customer Service

Consider an enterprise with a bustling customer service centre receiving thousands of emails daily. Automation categorises incoming emails based on keywords to efficiently address customer inquiries without expanding human resources. This initial automation streamlines the process but doesn't provide immediate customer solutions.

Here's where AI, specifically Natural Language Processing (NLP), comes into play. NLP interprets the intent of customer emails, allowing the AI system to respond promptly with relevant information or route the inquiry to a human agent. This collaborative approach between automation and AI accelerates customer issue resolution.

Supply Chain Optimization:

Large manufacturing companies use automation to track inventory levels, reorder supplies, and manage logistics. AI algorithms are then employed to analyse historical data and market trends to optimise inventory levels and predict supply chain disruptions. This combination streamlines operations, reduces costs, and ensures products are available when needed.

Fraud Detection in Banking:

Automation is used to flag suspicious transactions in real-time, reducing the risk of fraud. AI, particularly machine learning models, can then analyze these flagged transactions along with historical data to identify new and evolving fraud patterns. This dynamic approach enhances fraud detection accuracy and minimizes false alarms, ultimately saving the bank time and resources.

Healthcare Diagnosis and Treatment:

Automation assists in managing patient records and appointment scheduling in a healthcare facility. AI-powered diagnostic tools analyse medical images, patient history, and symptoms to aid doctors in making accurate diagnoses. The combination of automation and AI improves patient care by reducing administrative burdens and enhancing medical decision-making.

Personalised Marketing Campaigns:

Automation segments customer data and sends targeted marketing emails based on predefined rules. AI algorithms dynamically analyse customer behaviour, preferences, and engagement to adjust marketing content and timing. This synergy increases the effectiveness of marketing campaigns by delivering personalised messages to the right audience at the right time.

Smart Home Automation:

Automation systems control lighting, heating, and security in a smart home. AI enhances these systems by learning occupants' preferences and adjusting settings accordingly. For example, AI can optimise energy usage by predicting when rooms are occupied and adjusting heating or cooling systems accordingly, resulting in energy savings.

Inventory Management in Retail:

Automation tracks inventory levels in a retail store and generates restocking orders as items reach a certain threshold. AI-powered demand forecasting algorithms analyse historical sales data and external factors (e.g., weather, holidays) to fine-tune inventory management. This combined approach ensures that products are in stock when customers need them, reducing both excess inventory and stockouts.

These examples demonstrate how the integration of AI and automation can drive efficiency, improve decision-making, and enhance various aspects of business and daily life.

AI and automation serve distinct purposes in the realm of business operations. Automation streamlines repetitive tasks, freeing humans from more complex endeavours. AI, on the other hand, emulates human cognitive functions and makes decisions based on data analysis. When applied together, they create a powerful synergy, enhancing efficiency and enabling businesses to harness the full potential of their data. Understanding the differences between AI and automation is essential for organisations seeking to leverage these technologies effectively in today's digital landscape.

How Beinex Can Help You

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.

Tableau Accelerators: Expert-Built Dashboards at Your Fingertips

Tableau Exchange: A One-stop Destination

You can access Tableau Accelerators through Tableau Exchange. Tableau Exchange is a platform where the Developer Community can showcase and offer a wide range of dashboard extensions, connectors, and accelerators. It is your all-in-one destination for offerings that accelerate your data analysis, providing prompt insights and actionable data. This platform offers a wide range of trusted solutions created by Tableau and our partner network, enabling faster time to value, catering to various use cases, and maximising your Tableau investment returns.

What exactly are Tableau Accelerators?

Tableau Accelerators are pre-built dashboards and workbooks created by industry and functional experts, allowing you to leverage analytics tailored to your specific line of business, vertical, or sector. Instead of starting from scratch, you can begin with these expert-built dashboards for various industry and departmental use cases, accelerating your data-driven insights. These pre-built assets are designed to monitor and enhance key performance indicators (KPIs) across your entire organisation.

For instance, Tableau’s healthcare offerings have introduced Accelerators that delve into metrics such as patient wait times, admission rate seasonality, readmission rates, and more. In addition to industry-specific dashboards, Tableau offers a multitude of Accelerators for various lines of business functions like marketing, sales, and corporate finance. Tableau also provides Accelerators that seamlessly integrate with critical enterprise applications and cloud services such as Salesforce, Marketo, LinkedIn, and Service Now.

How to use Tableau Accelerators? Steps

To begin utilising Tableau Accelerators, follow these steps:

Visit exchange.tableau.com/accelerators.
Once on the website, you can easily browse and filter the available Accelerators based on your specific requirements. You have the option to filter by Tableau version, connection type, language, industry, or job function.
Each Accelerator listing provides detailed information about how to use the dashboard effectively. It includes insights on the business questions the dashboard can address, the necessary attributes for optimal performance, demo scenarios, and even potential partners who can assist in customising the Accelerator to suit your specific requirements.

By following these simple steps, you can access the Tableau Accelerators that best align with your goals, helping you jumpstart your data analysis and derive valuable insights.

Types of Tableau Accelerators

Tableau accelerators offer valuable solutions in various fields, addressing specific industry needs and challenges. With their versatility and industry-specific capabilities, Tableau accelerators provide valuable insights and empower data-driven decision-making in various fields like corporate finance, healthcare, ESG, insurance, marketing, public sector, retail, telecommunications, supply chain and manufacturing etc.

1. Corporate Finance

The Corporate Finance Accelerator by Tableau offers finance professionals a range of powerful tools. It enables in-depth financial analysis, facilitates budgeting and forecasting, and streamlines the generation of financial reports. With this accelerator, finance teams can gain valuable insights, make informed decisions, and effectively manage the financial aspects of their organisation.

Examples of corporate finance accelerators:

a. Budget Controlling Accelerator

Budget Controlling Tableau Accelerator provides the capability to:

• Evaluate and manage your budget expenditure effectively.
• Analyse budget consumption from various viewpoints, including Month-to-Date, Year-to-Date, and Actual figures, and compare against the budget and the previous year, all presented in a tabular format.

b. Budget Allocation Accelerator

Using Budget Allocation Accelerator by Beinex, you can:

• Offers a clear comparison of revenue and expenses against the budget.
• Enables you to track the trends of revenue and expenses over time.
• Analyses revenue and expenses by vendor, economic sector, account group, and geography.
• Allows you to drill down into individual customer details for a more detailed understanding.
• Makes actionable decisions based on the insights gained from the accelerator.

2. ESG (Environmental, Social, and Governance)

In the realm of ESG, Tableau accelerators enable organisations to visualise and analyse environmental, social, and governance metrics, track performance, and benchmark against industry standards.

An example of an ESG accelerator is given below:

a. ESG by Tableau

With this Tableau Accelerator, you can:

• Evaluate global efforts in Environment, Social, and Governance (ESG) areas.
• Analyze detailed environmental indicators.
• Assess leading industries in terms of ESG performance.
• Deep-dive into specific companies and benchmark their performance against competitors.

3. Healthcare

Tableau accelerators in healthcare help analyse patient data, optimise resource allocation, and enhance decision-making for improved healthcare delivery in healthcare.

An example of a healthcare accelerator is provided:

a. Budget Controlling

With this Tableau Accelerator, you can:

• Evaluate and manage your budget consumption effectively.
• Analyze budget consumption from various perspectives, including Month-to-Date, Year-to-Date, Actual figures, and comparisons to the Budget and Last Year.
• View budget consumption in a tabular format for detailed analysis and insights.

4. Insurance

Insurance companies can leverage Tableau accelerators to analyse claims data, detect fraud, and monitor policy performance.

An example of an insurance accelerator is provided below:

a. Insurance Claims

With this Tableau Accelerator, you can:

• Assess your performance in handling claims.
• Identify the most impactful open claims for targeted action.
• Identify the most effective agents in claims management.
• Improve the effectiveness of your claims process.
• Drill down to the specific claim level within your Claim Application and take immediate actions for enhanced efficiency and resolution.

5. Marketing

In the marketing sector, these accelerators assist in analysing trends, identifying growth opportunities, and optimising pricing and product strategies.

An example of an Marketing Accelerator:

a. Email Marketing Campaigns

With this Tableau Accelerator, you can:

• Assess and enhance the efficiency of your email marketing campaigns.
• Identify the most impactful campaigns based on key metrics and performance indicators.
• Conduct an audit of campaign optimisation results over time, enabling data-driven improvements and informed decision-making.

6. Public Sector

Public sector organisations can use Tableau accelerators to monitor government initiatives, improve public service delivery, and track budget allocation. Retail businesses can benefit from analysing sales data, optimising inventory management, and enhancing customer experience.

An example of an Public Sector Accelerator:

a. Emergency Cells

With this Tableau Accelerator, you can:

• Assess and improve the efficiency of handling emergency calls.
• Enhance citizen service across different areas.
• Optimise resource allocation to areas with the greatest need.
• Adapt staffing levels to accommodate activity peaks and ensure an effective emergency response.

7. Retail

Retail businesses can benefit from Tableau accelerators to analyse sales data, optimise inventory management, and enhance customer experience.

An example of a retail accelerator:

a. Salesforce Data Cloud - Retail Sales by Tableau

This Tableau Accelerator enables you to:

• Assess network performance and drive sales growth.
• Predict sales evolution and optimise product mix.
• Identify emerging/declining products and pinpoint stores in need of assistance.
• Learn from top-performing stores and identify sales drivers.
• Dive into detailed insights at the store, product line, and product levels. Watch the demo video to see it in action.

8. Telecommunications

Telecommunications companies can leverage accelerators to analyse network performance and improve customer satisfaction. Supply chain and manufacturing organisations can optimize operations, track production data, and streamline inventory management.

Game Analytics is an example of a telecommunications accelerator:

a. Gaming Analytics by Lovelytics

The Gaming Analytics Accelerator offers performance metrics for your game, integrating game telemetry, usage stats, marketplace data, platform data, and external sources like social media. It provides insights into game-playing patterns, consumption, and revenue. This Accelerator aims to help gaming by:

• Facilitating the quick and easy acquisition of new customers.
• Enhancing the gamer experience.
• Tracking revenue and spending patterns within the game.

9. Supply Chain and Manufacturing

Supply chain and manufacturing organisations can optimise operations, track production data, and streamline inventory management.

a. Occupational Health and Safety by Tableau

With this Tableau Accelerator, you can:

• Assess and improve employee health in the workplace.
• Identify safety hazards, risks, and areas of concern.
• Reduce and prevent injuries, sickness, and accidents.
• Strive towards the goal of achieving Zero Harm and compliance with industry standards.

10. Energy

Accelerators help monitor energy consumption, optimise resource usage, and track environmental impact in the energy sector.

Two examples of accelerators of the energy sector are given below:

a. Power Grid Connections by Tableau

With this Tableau Accelerator, you can:

• Assess and enhance your ability to handle Power Grid connection requests.
• Evaluate the level of service you deliver to customers.
• Identify priority requests to handle first for efficient resource allocation.
• Focus your efforts on areas that require immediate attention and improvement.

b. Risk Register Accelerator

The Risk Register Accelerator by Tableau enables you to:

• Assess your current exposure to risks.
• Monitor and prioritise risks, focusing on key areas.
• Evaluate the effectiveness of your risk mitigation and elimination efforts.

Beinex+ Tableau Partnership

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 passionate about Tableau and delivering a world-class experience. Connect with us for a Tableau free trial.

BI Tools: Decision-making is Now at Your Fingertips!

Here is a list of a few popular business intelligence tools companies use to gain insights:

1.Sisense: Leading Cloud Analytics Platform

Sisense is one of those data analytics and business intelligence tools known for its efficiency and easy-to-use quality. It enables anyone within an organisation to manage massive and intricate datasets and analyse and visualise data without any outsourcing. It also combines data from various sources, such as Adwords, Google Analytics, and Salesforce. The in-chip technology helps it to process data faster than any other tool. Gartner, G2, and Dresner have recognised Sisense as a leading cloud analytics platform.

2.SAP Business Intelligence: Price to the Upside

SAP Business Intelligence offers advanced analytics solutions such as machine learning, BI predictive analytics, and planning and analysis. This enterprise-level client/ server system application provides data visualisation and analytics applications, reporting and analysis, mobile analytics, and office integration.

The platform focuses heavily on Customer Experience (CX) and CRM, digital supply chain, ERP, etc. What's particularly appealing about this platform is the self-service, role-based dashboards, which allow users to create unique dashboards and applications. SAP is a robust software designed for all roles that provide many functionalities on a single platform. However, the product's complexity raises the price, so be equipped for it.

3.Datapine: Accessible to non-technical users

Datapine is a comprehensive business intelligence platform that makes the intricate process of data analytics accessible to non-technical users. Datapine's solution allows data analysts and business users to blend different data sources, perform advanced data analysis, build interactive business dashboards, and create actionable business insights by adopting a comprehensive self-service analytics approach.

4.Dundas BI: Access Multiple Data Sources in Real Time

Dundas BI is a browser-based business intelligence tool that enables users to access multiple data sources in real-time. It offers excellent visualisations in the form of tables, graphs, and charts that can be personalised and viewed on mobile devices and desktop computers. Users can easily create reports and extract specific performance metrics for analysis. Dundas aids all types of businesses and industries.

5.MicroStrategy: Fast Dashboarding in Action

MicroStrategy is a business intelligence tool for enterprises that provides powerful and fast dashboarding and data analytics, cloud solutions, and hyperintelligence. Users can use this solution to identify trends, and new possibilities, increase productivity, etc. It can be accessed via desktop or mobile and can be connected to one or more sources.

6.Yellowfin BI: No-co-Low-co Approach

Yellowfin BI is a business intelligence and analytics platform that combines visualisation, machine learning, and collaboration. It can quickly sort through massive amounts of data using intuitive filtering, and it is accessible from anywhere. This BI tool takes dashboards and visualisations to the next level by utilising a no-code/low code development environment.

7.Qlik Sense: Search & Conversational Analytics

A product of Qlik, QlikSense is a complete data analytics platform and business intelligence tool. QlikSense can be accessed from any device at any time. The user interface of QlikSense is optimised for touchscreen, which makes it a prevalent BI tool. It offers a one-of-a-kind associative analytics engine, sophisticated AI and a high-performance cloud platform, making it more attractive. An exciting feature of this platform is its Search & Conversational Analytics, enabling a faster and easier way to ask questions and discover new insights through natural language.

8.Zoho Analytics: Blend and Merge Data

Zoho Analytics is an excellent BI tool for detailed reporting and data analysis. It supports automatic data syncing and can be scheduled regularly. It quickly creates a connector and formulates meaningful reports by blending and merging data from various sources using the integration APIs. It helps to quickly identify the essential details by creating ersonalized reports and dashboards with an easy editor. It also includes a distinct commenting section in the sharing options, ideal for collaboration.

9.Microsoft Power BI: Identify Trends in Real Time

Microsoft Power BI is a web-based tool that is one of the best for data visualisation. It enables users to identify trends in real-time and includes brand new connectors that allow businesses to step up marketing campaigns. Microsoft Power BI is accessible virtually from any location as it is web-based. This tool is designed to integrate apps and deliver reports in real-time dashboards.

10.Looker: Ideal for SMEs

Looker, a data discovery app, is another business intelligence tool to watch for! This unique platform is now part of Google Cloud and integrates with any SQL database or warehouse and is ideal for startups, midsize businesses, and enterprise-grade businesses. This tool's advantages include its ease of use, useful visualisations, powerful collaboration features such as easy integration with apps, flexible sharing of data and reports via email or USL, and a dependable support system.

11.Clear Analytics: Just Need Essential Excel Skills to Use

Clear Analytics is an easy-to-use Excel-based software that can be utilised even by employees with just the essential Excel skills. It is a self-service Business Intelligence system with BI features like data creation, automation, analysis, and visualisation. Clear Analytics also functions with Microsoft Power BI, cleaning and modelling various datasets with Power Query and Power Pivot.

12.Tableau: Needs No Introduction

Tableau is a powerful BI tool that specialises in data discovery and visualisation. The software allows to quickly analyse, visualise, and share data without IT intervention. Tableau works with various data sources, including Microsoft Excel, Oracle, MS SQL, Google Analytics, and SalesForce. Users will have access to well-designed, user-friendly dashboards. Tableau also provides several products, such as Tableau Desktop (for anyone) and Tableau Server (analytics for organisations), both of which can be run locally, as well as Tableau Online (hosted analytics for organisations) and others.

13.Oracle BI: Proactive Intelligence Power

Oracle BI is a business intelligence technology and application portfolio for enterprises. This technology provides nearly all business intelligence capabilities, including dashboards, proactive intelligence, ad hoc reporting, etc. Oracle is a reliable choice ideal for businesses that need to analyse large amounts of data from Oracle and non-Oracle sources. Data archiving, versioning, a self-service portal, and alerts/notifications are also essential features.

14.Domo: Predictive Analysis on the Go

Domo is a fully cloud-based business intelligence platform that integrates spreadsheets, databases, and social media data. The platform provides visibility and analysis at the micro and macro levels, including predictive analysis powered by Mr Roboto, their AI engine. From cash balances and lists of your best-selling products by region to marketing ROI calculations for each channel, Domo has got you covered.

15.IBM Cognos Analytics: Hidden Patterns in Data Discovered

Cognos Analytics is a business intelligence platform powered by AI that supports the entire analytics cycle. It helps to visualise, analyse, and share actionable insights, from data discovery to data operationalisation. The data is interpreted and presented in a visually appealing report, and AI allows the discovery of hidden patterns in the data.

The use of advanced business intelligence reporting tools makes tasks simple and manageable. Business intelligence platforms are subject to change based on business needs and the advancement of technologies. Still, they have proven to be a great way to accomplish strategic goals effectively and efficiently.

How Alghanim standardized collaborative workflow creation by implementing the “Alteryx Sandbox Server” platform on AWS that paved the way for 20% better business predictions