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How AI Decision-Making is Improving Enterprise Outcomes

SELF-SERVICE AUDIT ANALYTICS: TRANSFORM YOUR APPROACH Despite the fact that data analytics and Computer Assisted Audit Techniques (CAAT) have been part of auditing for nearly 30 years, many organisations are still struggling with the implementation of effective data analytics to enhance internal audit quality and effectiveness. Experts at Beinex Consulting offer advice and help. Increasing complexities of risk and incessant emergence of disruptive technologies are demanding substantial change in internal audit processes. In today’s world of constant disruption, internal audit should evolve into a dynamic and future-orientated function. So what’s getting in the way? Click here to read the full sponsored feature by Beinex Consulting

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.

Transforming Patient Care: The Role of Artificial Intelligence in Healthcare

AI in Healthcare: Building a Health-Smart Future

AI can leverage high-volume patient datasets to detect patterns, enabling medical experts to personalize treatments, optimize costs, manage medication, improve general health management, enhance healthcare research, help clinicians make informed decisions, etc. Besides automating hospital administrative tasks, AI implements technologies that improve patient care. However, medical institutions must also address challenges like data privacy and the need for human support while implementing AI in healthcare. Accurate diagnosis, early disease detection, tailored treatments, and prediction of outcomes powered by AI help build a health-smart future by delivering swift and efficient care to people around the globe. In short, AI is truly transforming patient care by enhancing outcomes and survival rates while mitigating expenses for service providers.

AI-Powered Diagnosis & Treatment Enhanced accuracy in diagnoses Faster diagnosis and treatment Tailored treatment plans	REIMAGINING HEALTHCARE MANAGEMENT WITH AI	Personalized Medication Prediction of potential side effects Optimized treatment efficacy Continuous monitoring of medication responses
Virtual Nursing Assistants 24/7 support Medication and appointment reminders Enhanced patient engagement	REIMAGINING HEALTHCARE MANAGEMENT WITH AI	Real-time Analysis of Patient Data Continuous monitoring Early detection of potential health issues Improved patient outcomes
Predictive Insights Risk prediction Implementing preventive care Personalized prevention strategies		AI Chatbots Patient support Symptom assessment Appointment management

From AI chatbots to personalizing treatments to robotic surgeries, the prospect for AI to revolutionize patient care is vast and exciting.

AI-Powered Diagnosis & Treatment

Detects patterns in patient histories and laboratory results, resulting in more accurate diagnoses, enabling early disease detection, and developing tailored treatment plans.

Personalized Medication

Tailors treatment plans to an individual based on specific attributes like lifestyle elements, medical histories, and genetic profiles, helping identify possible responses to specific medications.

Virtual Nursing Assistants

Offers personalized guidance and support, monitoring remotely in real-time and improving patient engagement to ensure quality care.

Real-time Analysis of Patient Data

Analyzes high volumes of medical data in real-time, resulting in prompt insights for faster decision-making, earlier detection for timely intervention and enhanced results, and discovery of possible safety issues.

Predictive Insights

Identify high-risk patients earlier and deliver personalized recommendations by detecting patterns and anticipating future patient outcomes.

AI Chatbots

Provides services like initial symptom evaluation, medication management, and health support by analyzing the patient's responses regarding their inquiry about symptoms, resulting in effective communication and enhanced healthcare delivery.

How does AI in Healthcare Transform Patient Care?

Given the rising adoption of AI, the healthcare sector is experiencing a profound transformation. With the advancement of AI technologies in healthcare, hospitals can now redefine the boundaries of patient care, allowing healthcare providers to deliver personalized and effective treatment options. Let's look at how AI is revolutionizing the patient care experience.

Supporting Healthcare Professionals through Virtual Assistants

To align with the demand for healthcare services, healthcare experts avail the support of virtual assistants to provide tailored support based on patient queries regarding symptoms, medical advice, medication reminders, monitoring vital signs, and scheduling appointments. Besides, virtual assistants generate routine reports based on patients' health, helping improve patient outcomes and offer a better experience.

Accelerating Drug Recovery & Research

AI expedites drug discovery by analyzing genomic data, clinical trial results, and more to predict drug safety and how they interact with the body. It facilitates the faster detection of effective treatments, leading to quicker medical breakthroughs. Moreover, AI can help tailor treatment plans to patients based on their medical histories, genetic profiles, and lifestyle factors, enabling more effective targeted therapies.

Facilitating Early Disease Detection & Diagnosis

AI analyzes vast amounts of medical data, including images, lab results, and patient histories, to detect anomalies and patterns that may signify the presence of a disease. This can lead to improved accuracy, earlier intervention, and personalized medicine. It also predicts the likelihood of disease progression or response to treatment, enabling healthcare providers to take proactive measures and improve patient outcomes.

Offering Mental Health Support

AI supports mental health by offering personalized and accessible patient care through digital applications. Research has proven the efficacy of AI-powered cognitive-behavioral therapy (CBT) in diagnosing and managing conditions like depression. Such tools offer 24/7 support to track patient progress and improve treatment adherence to ensure effective and empathetic treatment.

Improving Patient Education

AI has become an effective tool for patient education, with AI-powered chatbots being used for diet recommendations, smoking cessation, and cognitive-behavioral therapy. Educating patients about their diagnoses, treatments, and preventive care improves adherence and health outcomes. AI can personalize and simplify medical information, empowering patients to take control of their health. The future of AI in healthcare holds enormous prospects for augmenting diagnostics, treatment, and patient management. The capabilities of advanced AI tools extend to predicting disease progression and improving surgical assistance through remote collaboration. Though challenges exist in integrating AI into clinical practice, the power of AI to enhance outcomes, efficiency, and patient experiences is undeniable. Beinex collaborated with Sultan Qaboos University Hospital (SQUH), University Medical City, and Novartis to combat Atherosclerotic Cardiovascular Disease (ASCVD) using AI and analytics, reimagining cardiovascular health. Beinex adopted a data-driven methodology to manage ASCVD risks, facilitating proactive disease identification and intervention. By employing NLP, BI, Data Engineering, and Data Science and leveraging innovative data analytics and real-time insights, we helped revolutionize cardiovascular disease risk management, improve prevention strategies, and offer personalized patient care in the GCC region. Explore the success story and get in-depth insights into how we redefined healthcare and established new standards with life-saving intelligence. Download the case study titled 'Revolutionizing Healthcare in 2025: How AI is Transforming Hospitals of the Future' to discover how AI disrupts healthcare and builds a health-smart future. Click here: https://beinex.com/artificial-intelligence-in-healthcare-case-study-download

How Mywhoosh Standardized Collaborative Workflow Creation by Implementing the “Alteryx Server” Platform on AWS that Paved the Way for 20% Better Business Predictions

Once a workflow is built, users want to share, secure, schedule, and monitor the assets that have been built. Alteryx Server allows users to publish their workflows to a central location where the workflows can be stored, shared, and controlled in a safe and “enterprise-grade” solution.

Challenge

The IT infrastructure of MyWhoosh where the Alteryx 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 Alteryx 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, MyWhoosh wanted to look for another viable solution.
Though the hardware setup at MyWhoosh 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 MyWhoosh to select a cost-effective solution that can host Alteryx 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

MyWhoosh decided to migrate Alteryx Server, database servers and archival data to AWS.
The Alteryx 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

MyWhoosh uses AWS services to provision infrastructure and deploy the Alteryx Server platform to other departments within it. In addition, the Alteryx Server resources that are no longer required to be run all the time are made to auto shutdown thus saving cost. MyWhoosh reported a 30% cost reduction after implementation of AWS for the Alteryx Server platform.
The implementation of Alteryx Server on AWS made MyWhoosh 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, MyWhoosh 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 Alteryx Server platform, MyWhoosh has been able to innovate and experiment to a degree previously impossible. For example, MyWhoosh 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 Alteryx Server application on top of it would have taken months.

AWS Serverless Evolution: What's New in the World of Cloud Innovation

Serverless Computing

Serverless computing, often referred to as "serverless," is a cloud computing model where developers can build and deploy applications without having to manage the underlying server infrastructure. In a traditional server-based architecture, developers need to provision, configure, and manage servers to run their applications, which can be complex and time-consuming.

In a serverless architecture, the cloud provider (such as Amazon Web Services with AWS Lambda, Microsoft Azure with Azure Functions, or Google Cloud with Google Cloud Functions) abstracts away the server management aspect. Developers can focus solely on writing code for the specific functions or tasks their application needs to perform without worrying about server provisioning, scaling, or maintenance.

Serverless services offer several significant benefits that can have a positive impact on application development, deployment, and management. Some of the key significances of serverless services include:

Simplified Infrastructure Management
Auto-Scaling
Rapid Development and Deployment
Event-Driven Architecture
Reduced Administrative Overhead
Global Scalability
Resource Optimization
Improved Fault Tolerance

Amazon Web Services (AWS) continuously introduces new capabilities and features to their serverless services for several reasons aimed at improving the developer experience, expanding use cases, and meeting evolving customer needs.

Latest buzz in AWS serverless services

1. General availability of AWS Database Migration Service Serverless

On June 2nd, 2023, AWS unveiled the widespread availability of AWS Database Migration Service (AWS DMS) Serverless. This release simplifies database migrations by automating the provisioning and scalability of migration resources. With AWS DMS Serverless, users gain the ability to seamlessly replicate data across a diverse range of widely used databases, analytics engines, and services—think PostgreSQL, MySQL, Oracle, Amazon Redshift, Amazon DynamoDB, Amazon Aurora, and more. By handling the often-cumbersome work of database migration, AWS DMS Serverless minimises the need for manual resource estimation, provisioning, monitoring, and scaling. This advancement translates to migration timeframes measured in hours, and cost savings realised through payment solely for consumed data migration resources.

2. Provisioned Concurrency for Amazon SageMaker Serverless Inference

As of May 10th, 2023, AWS has introduced the general availability of Provisioned Concurrency support for Amazon SageMaker Serverless Inference. This innovative feature ensures that models deployed on serverless endpoints offer consistent performance and impressive scalability. Through the integration of provisioned concurrency, users can infuse their serverless endpoints with a predetermined volume of concurrency, effectively maintaining the readiness and responsiveness of SageMaker endpoints. This offering particularly suits scenarios where traffic is predictable, yet throughput remains relatively low.

3. Amazon Aurora Serverless v2 is now available in 4 additional regions

The footprint of Amazon Aurora Serverless v2 has now expanded to include four additional regions. Aurora Serverless v2, an adaptive, automatic scaling configuration for Amazon Aurora, has the remarkable ability to instantaneously scale to accommodate even the most resource-intensive applications. By making precise capacity adjustments, Aurora Serverless v2 ensures that an application always receives the optimal database resources it demands. This dynamic resource allocation extends to encompass an impressive range of Amazon Aurora features, spanning read replicas, multi-AZ support, Performance Insights, and Global Database functionality. This powerful suite is ideally positioned to serve a diverse spectrum of applications. Enterprises dealing with an extensive array of applications or Software as a Service (SaaS) providers managing multi-tenant environments replete with numerous databases can harness the capabilities of Aurora Serverless v2 to deftly manage database capacity across their entire infrastructure.

4. AWS Lambda introduces response payload streaming

AWS Lambda, the bedrock of serverless computing, has ushered in an exceptional enhancement: response payload streaming. This capability enables AWS Lambda functions to gradually stream response payloads back to clients, even accommodating payloads that surpass the 6MB threshold. A monumental leap forward for web and mobile applications, this feature marks a departure from the conventional request-response model. Previously, applications built on Lambda necessitated the complete generation and buffering of responses before they could be sent to clients—an approach that often resulted in delayed first-byte transmission times. With response payload streaming, Lambda functions can transmit partial responses to clients as they are ready, substantially improving the all-important first-byte transmission time, a facet crucial for web and mobile applications alike. This innovation stands to elevate the performance of AWS Lambda-powered applications to new heights.

As AWS continues to introduce new capabilities, it's evident that the serverless paradigm is here to stay. This shift isn't just a technological trend; it's a fundamental change in how we architect, deploy, and scale applications. With each enhancement, AWS reinforces its commitment to providing customers with the tools they need to succeed. With AWS's ongoing dedication to pushing boundaries, the future of cloud computing holds the promise of even more remarkable advancements.

Beinex+ AWS Offerings

AWS provides security services such as AWS Shield and AWS WAF to help protect against phishing attacks. Strengthen your defences by integrating robust security software from the AWS Marketplace and embracing Two-Factor Authentication (2FA). Safeguard against evolving threats like homograph phishing for a safer online experience.

Beinex is an AWS consulting partner, and we empower customers to host their BI solutions, provide security services and much more on the cloud. Our cloud migration experts bring in best-in-class stability and reliability by understanding your business strategy and working closely with you to deploy AWS infrastructure as a service.

GCP's Vertex AI Agent Builder: Build, Scale, and Govern Reliable AI Agents

Many teams can build AI agents as experiments, but turning them into something that works reliably, safely, and at scale for real business use is much harder. To solve this, the Vertex AI Agent Builder from Google Cloud helps organizations build, run, monitor, and secure AI agents from start to finish. In short, Google is making it easier to go from "we built a demo agent" to "we run trusted AI agents in production."

SELF-SERVICE AUDIT ANALYTICS - Beinex

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