Supercharge Your Tableau: Benefits of Tableau Accelerators

AWS AI services

AWS pre-trained artificial intelligence (AI) services easily integrate with your applications to address common use cases such as personalized recommendations, modernizing your contact center, improving safety and security, and increasing customer engagement. Because we use the same deep learning technology that powers Amazon.com and our machine learning services, you get quality and accuracy from continuously learning APIs. Explore purpose-built AWS AI services:

1. Amazon Bedrock
2. Amazon Q
3. Amazon Transcribe
4. Amazon Polly
5. Amazon Textract
6. Amazon Rekognition
7. Amazon Lex
8. Amazon Translate
9. Amazon Personalize
10. Amazon Augmented AI
11. Amazon Comprehend
12. Amazon Fraud Detector
13. Amazon Kendra

Amazon Bedrock

Amazon Bedrock simplifies the development of generative AI applications by offering a fully managed environment with robust security and privacy features. It provides access to top-performing models from leading providers like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, ensuring a wide range of AI capabilities. Businesses can customize these models using their proprietary data through fine-tuning and retrieval-augmented generation (RAG), enabling tailored solutions. Seamless integration with familiar AWS services through serverless deployment minimizes operational overhead. Additionally, Amazon Bedrock supports HIPAA compliance and adheres to GDPR regulations, ensuring data privacy and regulatory compliance.

Amazon Q

Amazon Q is a generative AI assistant that enhances work efficiency in organizations. It offers specialized features for software developers, business analysts, contact center staff, and supply chain analysts, helping them gain insights and complete tasks faster. With Amazon Q, companies can streamline processes, make quicker decisions, and improve productivity.

Amazon Transcribe

Amazon Transcribe is a fully managed automatic speech recognition (ASR) service that converts spoken language into written text. Utilizing a state-of-the-art, multi-billion-parameter speech model, it provides highly accurate transcriptions for both streaming and recorded speech. Thousands of customers rely on Amazon Transcribe to automate tasks, gain valuable insights, enhance accessibility, and improve the discoverability of their audio and video content.

Amazon Polly

Amazon Polly is a fully managed service that converts text into lifelike speech. It offers a variety of voices in multiple languages, allowing applications to cater to global linguistic, accessibility, and educational needs. With advanced neural networks and generative voice engines operating in the background, Amazon Polly synthesizes high-quality speech suitable for a wide range of use cases.

Amazon Textract

Amazon Textract is a machine learning service that automatically extracts text, handwriting, layout elements, and data from scanned documents. Unlike traditional OCR (optical character recognition) software, Amazon Textract employs machine learning to process various document types, including PDFs, images, and forms. Its capability to extract data in minutes rather than hours or days allows businesses to automate document workflows and enhance efficiency.

Amazon Rekognition

Amazon Rekognition enables businesses and developers to address computer vision requirements without needing machine learning expertise. Its scalable and cost-effective capabilities include facial analysis, object detection, and text recognition for various applications.

Amazon Lex

Using technology similar to Alexa, Amazon Lex allows developers to create conversational AI interfaces through natural language processing. It facilitates both voice and text interactions, making applications more intuitive and improving customer experiences.

Amazon Translate

Amazon Translate enables the localization of content for a diverse global audience, allowing for the translation and analysis of large volumes of text to facilitate cross-lingual communication among users.

Amazon Personalize

Amazon Personalize enhances customer experience through AI-driven personalization. With the Amazon Personalize recommendation engine, you can provide hyper-personalized user experiences in real-time at scale, thereby boosting user engagement, customer loyalty, and business outcomes.

Amazon Augmented AI

Amazon Augmented AI (Amazon A2I) enables you to conduct human reviews of machine learning (ML) systems to ensure accuracy. You can implement human reviews and audits of ML predictions tailored to your specific requirements, which may include multiple reviewers. Accelerate your time to market with prebuilt workflows, and continuously retrain your models to improve performance. Additionally, you can integrate human judgment and AI into any ML application, whether it operates on AWS or another platform.

Amazon Comprehend

Gain valuable insights from various types of text, including documents, customer support tickets, product reviews, emails, social media feeds, and more. Streamline your document processing workflows by extracting text, key phrases, topics, sentiment, and other relevant information from documents like insurance claims. Differentiate your business by training a model to classify documents and identify specific terms, all without requiring machine learning (ML) experience. Ensure the protection and control of your sensitive data by identifying and redacting Personally Identifiable Information (PII) from your documents.

Amazon Fraud Detector

Build, deploy, and manage fraud detection models without previous machine learning (ML) experience. Gain insights from your historical data, plus 20+ years of Amazon experience, to construct an accurate, customized fraud detection model. Start detecting fraud immediately, easily enhance models with customized business rules, and deploy results to generate critical predictions.

Amazon Kendra

The Amazon Kendra GenAI Index is a new feature in Kendra designed for retrieval-augmented generation (RAG) and intelligent search. It aims to help enterprises build digital assistants and create intelligent search experiences more efficiently and effectively. This index provides high retrieval accuracy by utilizing advanced semantic models and the latest information retrieval technologies. The Kendra GenAI Index can be integrated with Bedrock Knowledge Bases and other Bedrock tools to develop RAG-powered digital assistants. It can also be used with Q Business for a fully managed digital assistant solution. This index addresses common challenges faced when building retrievers for Generative AI assistants, such as data ingestion, model selection, and integration with various Generative AI tools. Key features of the Kendra GenAI Index include a managed retriever with high semantic accuracy, a hybrid index that combines vector and keyword search, pre-optimized parameters, connectors to a variety of enterprise data sources, and user permissions filtering based on metadata.

AWS Beinex Partnership

Generative AI’s potential is vast, from automating content creation to transforming entire industries. AWS’s secure infrastructure and AI services empower businesses to innovate confidently while safeguarding data integrity. Beinex is an AWS consulting partner, and we empower customers with AWS-managed services to host their BI solutions 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. Beinex has also achieved a Gold-level ranking for Cloud Consulting services in the Middle East by Consultancy-me for our excellence in client services and solutions in 2024.

Beinex Consulting has been awarded as the Alteryx 2020 Partner of the Year, Middle East at the Alteryx Partner Summit and Awards virtual event along with 15 other winners from North America, LATAM, and EMEA. During the Alteryx Summit, ‘Your Road to Revenue’, Alteryx celebrated the achievements and commitment of their partners to the Alteryx business and its customers. Beinex Consulting was awarded on the level of engagement in the Alteryx partner program and its efforts around driving innovation, growing revenue, and empowering Alteryx customers to solve our world’s most pressing business and societal issues in the Middle East Region. Selected among top Middle East Alteryx partners, Beinex demonstrated excellence in delivering end-to-end analytics transformation services that revolutionised multiple industries in the Middle East. Beinex Consulting Founder and Managing Director, Indumon Das indicates further growth for the digital transformation organisation soon: “Beinex continues to make strategic investments to enhance our association with Alteryx and clients in major Middle East markets. This award is a recognition to our continuous growth strategy and focus to be the best Middle East partner” “Through their ongoing pledge to the Alteryx Partner Program, our partners have demonstrated their commitment to helping Alteryx customers break down barriers and deliver game-changing insights.” – Josh Lewis, VP, Global Channels, Alteryx About Beinex Consulting Beinex is a digital transformation organization with a broad range of analytics modernization and training services. As a pioneer in analytics and cloud transformation, Beinex’s mission is to transform the way individuals and the organizations work with the data through innovation and experience. Beinex offers a broad range of robust and scalable business intelligence and analytics services to drive effective decision-making and create business value.

We are thrilled to recognize Beinex Consulting for being named Alteryx Middle East Partner of the Year!https://t.co/xwmp7HbsMp#TogetherWeSolve pic.twitter.com/4zic9mdlgD

— Alteryx (@alteryx) October 1, 2020

This is a remarkable achievement. Yes, something which we have been living is now officially recognised, and it adds to our commitment to keeping Beinex a Great Place to Work, always!

Snapshots from the Survey

1. Our Trust Index is 84! The Trust Index© score is the percentage of employees that shared a positive response (rated 4 or 5 on a 5-point scale) to the 59 statements of the survey.
2. Trust Index© Feedback Credibility of Management stands at 87.
3. Respect for people – 80
4. Fairness at the Workplace - 84
5. Pride – 86
6. Camaraderie between People - 86

What our accomplishment means

The Great Place to Work® Certification Program is the initial step for an organisation on its journey of building a High-Trust, High-Performance Culture™ and our organisation has successfully reached this milestone.

Yes, the word that should be borne in mind is ‘milestone’. We still have a long way to go! And we will, with confidence, sustain our victories on all fronts.

We will not rest on our laurels

As the next step to our Certification, we have various opportunities to learn, develop & grow our talent with the help of Great Place to Work® Events. They are characterised by an exciting range of engagement measures and large-scale events from where we would be able to learn and contribute to the richness of our culture.

About Great Place to Work Institute

Great Place to Work® Institute is a global management research and consulting firm dedicated towards enabling organizations to achieve business objectives by building better workplaces. They work with over 10,000 organizations globally every year to help them create and sustain High-Trust, High-PerformanceTM cultures.

As part of the assessment, they measured the perceptions of Beinex’s employees using Great Place to Work® Trust Index© Employee Survey and understood our organization’s differentiating culture through the Culture Brief© and Culture Audit©.

What is Amazon CloudFront?

Amazon CloudFront is a content delivery network offered by Amazon Web Services. It securely transfers content such as software, SDKs, and videos to clients with high transfer speeds. It helps to:
• Increase productivity while maintaining user-friendliness
• Cache your content in edge locations to reduce workload
• Provide high security through the "Content Privacy" feature.
• Utilize HTTPS protocols for fast content delivery.
• Support geo-targeting services for delivering content to specific end users.

The Amazon CloudFront solved the performance and scalability issues, providing Zalando's development teams more insight, flexibility, and control. Eventually, the shift set the stage for long-term innovation and large-scale customer happiness.

Amazon CloudFront Case Study: Challenges Faced by Zalando

In the face of rapid expansion, Zalando sought to maximize its offerings. With more than 49 million active users, Zalando links consumers with brands and goods in 25 European regions. Rich media content is integral to Zalando's website and app to enhance the online customer experience. However, the company's image management, transformation, and delivery system have limited visibility and control for developers. All these factors are crucial for sustaining growth and delivering a unique customer experience.

Zalando migrated its media management and delivery system to Amazon Web Services (AWS) by leveraging Amazon CloudFront, a content delivery network service designed for developer simplicity, security, and high performance. Using CloudFront, Zalando enhanced developer observability, scalability, and online purchasing experiences.

Strengthening Developer Ownership to Promote Development

Due to substantial expansion, Zalando outgrew its prior image management system, which provided its engineering and product teams with few configuration options. Furthermore, few operational insights were available, making it difficult to see how well the service was doing and what improvements could be made. It affected Zalando's capacity to modify and enhance its online stores. Delivering a consistent client experience during high-demand seasonal events was made difficult by the absence of comprehensive reporting regarding image transformation.

To overcome these obstacles and to develop their new media management system, the Zalando team used Amazon CloudFront. Because of its programmability and flexibility, Amazon CloudFront became crucial for scaling operations and keeping up with rising client demand.

Migrating to AWS Edge

Zalando executed its migration quickly and effectively. The company coordinated its migration schedule with AWS's Enterprise Support, Service Specialists, and Service Teams to avoid conflicts with customer campaigns and market events. Small client groups were used in the initial stages of the conversion so that the business could identify any areas for improvement without significantly impacting Zalando customers. During this procedure, Zalando moved more than 20 websites and apps, totaling 26.93 PB of data. CloudFront's peak load has consistently surpassed 100,000 requests per second.

The development team enhanced the image-delivery method using Zalando's prelaunch hands-on access to CloudFront Functions. The team was pleased to receive support on several levels throughout several stages. Regular contact began very early on, while they looked for proofs of concept and sent the code to verify its legitimacy and identify any obstacles.

Zalando started using CloudFront Functions in production in May 2021. Smooth configuration is a significant change with CloudFront Functions. On an operational level and for daily development, it makes it easier to deploy and reliably revert tasks and scale on demand. Zalando swiftly overcame challenges by implementing the new solution across its online domains. Zalando needed to be able to roll back quickly when necessary, making changes before actual downtime could happen. For various use cases, Zalando now employs both Lambda@Edge and CloudFront Functions. Multiple layers of edge computing give developers greater flexibility, visibility, and control while improving the client experience. It enabled Zalando to respond quickly and provide better consumer and business services.

Since the move, Zalando has been attaining cache hit percentages of 99.5 percent, and its new image-delivery system serves almost five billion images daily. They didn't face any challenges with Amazon CloudFront. With about 250 million online orders after the transformation, Zalando's CloudFront solution's size and effectiveness were crucial in providing a first-rate consumer experience.

Additional optimizations made by Zalando have resulted in a threefold decrease in requests for nonoptimized photos on the home screens of the company's online and mobile applications. Because of its improved efficiency and versatility, teams within Zalando have shifted to utilize the pipeline built on CloudFront for additional kinds of material.

Fostering Client Interaction

Using AWS, Zalando intends to keep innovating in managing and manipulating rich media assets. By developing an interactive e-commerce solution with AWS Elemental MediaConvert, a file-based video converting service with broadcast-grade features, it intends to promote consumer interaction. To better serve its clients, Zalando moved to CloudFront to enhance the media management and delivery systems that influence the shopping experience. Zalando could carry out a seamless move with the help of the AWS team, which had significant advantages. The business benefits of using Amazon CloudFront are the operational flexibility and the ability to monitor the health of the solution, experiment, and reverse changes quickly.

Summing Up

Zalando's decision to strategically switch to Amazon CloudFront was a watershed moment in its quest to provide a better, more scalable consumer experience. By tackling important issues with media delivery, performance, and developer control, Zalando increased operational efficiency and enhanced the user experience across all platforms. This success story illustrates how intelligent content delivery systems can enhance long-term value, performance, and customer satisfaction in digital commerce as the company grows and changes.

When you gather consumer insights, you will learn about how your prospects interact with your marketing platforms, sales team, support personnel, and product. Your team is equipped with this crucial information, so you can make informed judgements about the efforts they should be making.
The environment of analytics, business intelligence (BI), and data science is changing at an accelerated rate due to increased consumerization of analytics technology and the demand for communities. The introduction of tools like UPI has effectively integrated small and medium-sized businesses into the financial system. The ability to prove creditworthiness through payments placed straight into current accounts has increased for firms.
The goal of marketing has always been to influence consumers. The core purpose of marketing is to alter behaviour, whether it be to encourage the purchase of a new product or merely to increase brand recognition in a crowded marketplace. Therefore, it makes sense for your marketing measurement plan to be centred on the behaviours that bring in money for your company. You can improve the return on investment of your marketing spend by better understanding your market by researching important customer behaviours. The understanding that analysis needs to be more focused on marketing indicators rather than the conventional web metrics like site visits, time on site, bounce rate, etc. that we've grown so accustomed to has also matured along with digital analytics.

The key advanced analytics techniques that help to understand consumer behaviour are enlisted below:

1. Identifying Revenue-oriented Metrics and ROI
2. Understanding the Importance of Multi-Channel Attribution
3. User-centric Monitoring

Identifying Revenue-oriented Metrics and ROI

Understanding how user behaviour on your site translates into money for your company is a crucial point. In other words, are visitors who do particular actions on your website more likely to buy something? The majority of the time, the response is a stunning yes! You can monetize all on-site behaviours by assigning a monetary value to them, even if the behaviour does not immediately result in a sale. The first step is to identify the key customer engagement points and track customers who have taken the desired actions. From there, a simple calculation may be created to calculate the income they produce. Based on this you can calculate your ROI.

Understanding the Importance of Multi-Channel Attribution

Multi-channel attribution has an important part to play here. It is the process of identifying marketing interactions in a customer journey that finally leads to conversions.
It goes without saying that as consumers are exposed to more online and physical marketing channels across more devices, the complexity of tracking keeps growing. But it's critical to keep up with the most recent trends and statistics. The advantages are many. It helps to achieve a more precise understanding of the ways media platforms and devices affect behaviour and financial outcomes. A comprehensive view of how various channels interact and function within your media mix and at various phases of the funnel can also be achieved. Finally, the accumulation of information for scenario modelling and budgeting to enhance ROI and optimise the media mix. Although high-end enterprise clients still have access to the most sophisticated attribution analysis tools, recent acquisitions and mergers indicate that mid-market and small firms will likely use these techniques more frequently in the near future.

User-centric Monitoring

User's "session” starts when a person joins the website and ends when they leave; this has been the primary unit of measurement for traditional web metrics. The growth of technology and the popularity of mobile devices, have, however, given marketers, in general, a new "demand." We now want to be able to track users as they interact with our sites through different channels and analyse their behaviour as they switch between different devices. Modern analytics software is driven by the need to continuously follow individual user behaviour across sessions and devices in addition to gathering data from all these different channels and devices. Understanding these various behavioural patterns is crucial for both developers and marketers to customise messaging and user experiences across a variety of channels and devices.

How to Gather Customer Insights Using Advanced Analytics

Marketing professionals all over the world are utilising analytics, which allows them to gain insights and create customised marketing messages. But, how? In what ways do data analytics and big data assist marketers in creating tailored ads based on consumer behaviour? How can you take advantage of the opportunity to make use of current data and improve consumer understanding?
Any firm that wants to excel at client interaction must have real-time analytics. While businesses of all colours have been substantially investing in technologies to better understand their customers, most of them miss out on the opportunity because of outdated IT systems and deeply ingrained structures and processes. It is no longer enough to just collect client data in your CRM software without figuring out how to interpret it. A successful firm must have a sizable, devoted customer base. However, how can you build such a customer base? You must be intimately familiar with your target market to build and keep consumer loyalty. You will need consumer behaviour analytics for this to better understand them and increase sales.
The necessity to concentrate on consumers' requirements is one thing all organisations have in common. To meet the expectations of the consumer, a thorough understanding of their needs and desires is necessary. Long-term success depends on giving your team the tools they need to gather data on client behaviour. To optimise customer journeys, it is essential to gain insight into the motives and actions of customers. Start utilising customer insights for the expansion of your organisation with Advanced Analytics.

Beinex Offerings

Advanced Analytics services from Beinex explain the why and how of change in your enterprise – the top line, bottom line behaviours and everything in between, from your organisational data. Enhance efficiency and expand your market share and presence. Make the most out of Advanced Analytics by partnering with the right people. Beinex!