In today’s data-driven world, information is indisputably the most vital resource for any organization. Despite these challenges, however, many companies still struggle with information silos, insufficient entry controls, lack of effective governance, and high-quality issues. Fostering a culture of data-driven decision-making requires recognizing information as a valuable product, necessitating its effective management to tackle these complex issues.
The adoption of information lakes and the Information Mesh framework proves to be a robust approach. Decentralized models of information ownership and dissemination enable the dismantling of organizational silos, thereby fostering effortless knowledge exchange. By cataloging information systematically, facilitating seamless searchability, implementing robust safety and governance protocols, and streamlining information-sharing procedures, we can successfully drive this transformation. AWS empowers organizations such as Amazon, Netflix, and LinkedIn by providing them with innovative tools and technologies that enable them to harness the full power of their data.
Identifying diverse stakeholders involved in the data exchange process.
Information producers, comprising internal teams, third-party providers, and partners, form the foundation of this concept. Shoppers leverage internal stakeholder approaches, collaborate with external partners, and deliver value to end-consumers. At the heart of this ecosystem resides the enterprise information platform. As one ponders entrepreneurial endeavors, various stakeholders emerge.
- These personas must categorize information, incorporate corporate context, collaborate seamlessly across various business units, gain deeper insights into core performance metrics to drive better results, and uncover opportunities to capitalize on valuable data.
- Companions should possess the capacity to seamlessly share knowledge, foster collaborative relationships with fellow companions and clients alike.
- These personas should possess the capability to access, scrutinize, and produce actionable business intelligence.
- Information engineers construct precise information pipelines, curating data that satisfies diverse stakeholder demands, encompassing enterprise analysts, data scientists, partners, and frontline business users.
- Information security is critical for organizations to ensure that both producers and consumers have secure access to data, implement appropriate access controls, and maintain regulatory compliance, particularly in heavily governed industries such as healthcare, life sciences, and financial services? This individual can be held accountable for ensuring seamless information governance by meticulously tracking the origins of data, developing robust information mesh protocols to safeguard against any potential risks or breaches.
Having now identified the diverse personas, it is crucial to select the most effective tools for each role.
- With SaaS platforms offering automated workflows through AWS Glue, producers can seamlessly integrate data streams between software applications and AWS services.
- AWS Clear Rooms enables seamless collaboration among producers seeking partnerships, allowing for secure data sharing and joint dataset analysis without requiring the duplication or transmission of sensitive information.
- AWS Information Change streamlines the acquisition, subscription, and utilisation of diverse third-party data from multiple providers or suppliers. By leveraging Amazon Web Services (AWS) and its Data Transfer feature, producers can effectively monetize their content through a subscription-based model.
- Within your organization, you will have the ability to democratize data sharing and management through a collaborative environment enabled by Amazon DataZone’s built-in governance features, streamlining access control and data security.
The Amazon Web Services (AWS) companies we’ve referenced boast a range of impressive capabilities, including scalable infrastructure and cloud-based computing power.
AWS Glue is a fully managed, serverless, and highly scalable extract, transform, and load (ETL) service that streamlines the process of discovering, preparing, and loading data for analytics purposes. The solution provides a comprehensive information catalog, leveraging automated crawlers and fostering visible job creation to seamlessly integrate diverse data sources and destinations.
AWS Information Change enables you to easily discover, subscribe to, and utilize a vast array of third-party datasets directly within the Amazon Web Services (AWS) cloud infrastructure. The platform provides a means for information producers to disseminate their content to subscribers. The platform serves as a comprehensive marketplace, boasting a vast network of more than 300 suppliers, offering an extensive array of hundreds of datasets available through intuitive interfaces including information, tables, and APIs. Our comprehensive service streamlines consolidated billing and subscription management, empowering you to explore a vast library of over 1,000 free, ready-to-use datasets and samples. No separate billing arrangement is required for AWS Information Change subscriptions.
AWS Clear Rooms enables companies and their partners to securely analyze and collaborate on aggregated data sets without compromising confidential or proprietary information. By leveraging AWS Cloud capabilities, you’ll rapidly establish a secure information sharing space, facilitating seamless collaboration among diverse stakeholders to yield unique insights that inform initiatives like targeted marketing campaigns or data-driven process improvements. This service safeguards sensitive data through a comprehensive suite of privacy-enabling measures and adaptable assessment frameworks carefully crafted to meet the unique needs of individual organizations.
Amazon DataZone is a comprehensive information management service that enables seamless discovery, sharing, and governance of data stored across Amazon Web Services (AWS), on-premise environments, and third-party sources, streamlining the process of cataloging, uncovering, and managing information assets. With Amazon DataZone, directors and information stewards responsible for overseeing an organization’s information assets can effectively manage access and governance through granular controls. These controls enable seamless access by allocating the appropriate level of privileges and context. Amazon DataZone simplifies access to organizational information for engineers, data scientists, product managers, analysts, and enterprise customers, enabling the discovery, utilization, and collaboration necessary to drive data-informed decision-making.
To better understand how various companies can be leveraged within an organization to achieve desired outcomes, let’s examine specific instances that demonstrate their successful application in a business context. In a specific context, our focus turns to AnyHealth, a company operating in the healthcare and life sciences industry with a clear emphasis on its sector-specific activities. The company comprises a diverse portfolio of businesses, focusing on the distribution of various scientific equipment. To drive meaningful progress, three fundamental prerequisites have emerged.
- AnyHealth aims to gain valuable insights into the sales effectiveness and customer demand specific to each product line. To achieve this requires a comprehensive understanding of overall sales strategies and customer requirements, tailored to specific industries and business lines.
- The corporation confronts difficulties related to supply chain and inventory management, especially during global crises such as pandemics? Companies seek to address instances where surplus inventory is sitting idle on a single production line, despite potential demand for identical products elsewhere? To overcome these challenges, organizations seek to establish seamless, cross-functional visibility into their supply chains and inventory levels, dissolving silos and enabling prompt, data-driven responses to business needs.
- AnyHealth aims to boost revenue by effectively integrating cross-selling and up-selling strategies into its business model. To achieve this goal, they intend to leverage machine learning models to uncover valuable insights from data. These valuable findings will subsequently be presented to gross sales representatives and resellers, empowering them to identify and leverage opportunities effectively.
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The subsequent sections outline methods for addressing each requirement, accompanied by a selection of AWS companies that best align with each solution.
To achieve this objective, it is essential to gain transparency into total revenue and customer need metrics, specifically categorized by business unit or product line. Shoppers of this information include line-of-business leaders, enterprise analysts, and various other business stakeholders.
To initiate the process, gross sales and order data are initially uploaded into the system. Currently, this data is concentrated within the confines of our ERP system, specifically SAP. To track recurring data and capture any changes that occur? The information engineers play a crucial role in designing and implementing this pipeline. Given the need to integrate a software-as-a-service (SaaS) solution seamlessly, AWS Glue emerges as the natural choice for efficient and streamlined data ingestion.
We subsequently focus on building an enterprise information platform to host the aggregated data. The platform will feature robust cataloguing, allowing seamless searching of information and implementing necessary safety and governance protocols to facilitate secure sharing among enterprise stakeholders, including information engineers, analysts, safety, and governance professionals. Amazon DataZone is the optimal choice for enterprises seeking to effectively manage their information platforms.
The first stage involves consuming relevant data. Data is extracted from a third-party software as a service (SaaS) provider, specifically SAP, and leveraged by an information engineer using Amazon Web Services’ Glue. Utilizing the SAP Information Connector, the information engineer creates a connection to the SAP setting, thereby executing scheduled jobs in accordance with the predefined schedule.
The information is stored in Amazon S3. AWS Glue jobs are spawned to reprocess and refine the data. The curated data is stored in a designated bucket, where AWS Glue crawlers process the data to create a comprehensive catalog. The cataloged data is subsequently managed through Amazon DataZone.
Amazon’s DataZone allows the Information Safety Officer to establish a secure company space. The individual develops and oversees producer initiatives while granting access to data engineers and business analysts. Professional services ensure seamless access to comprehensive customer data and sales insights within the Amazon DataZone project. Enterprise analysts enhance the information by utilizing enterprise metadata and glossaries, subsequently publishing it as information assets or merchandise. The data safety officer configures permissions for Amazon DataZone units to enable customer access to the information portal securely. Customers can search for properties within the Amazon DataZone catalog, view metadata assigned to each one, and enter detailed information about their chosen property.
Used to pose a query and uncover knowledge. Is designed to facilitate learning from Amazon Athena and generate experiences that are consumed by enterprise customers and various stakeholders along the path.
The following diagram illustrates the answer structure leveraging AWS entities.
To achieve transparency across the supply chain and inventory management throughout the organization. Stakeholders who are critical to an enterprise’s success remain aligned with its customer base. Can they gain a comprehensive, organization-wide perspective on their supply chain and inventory data? Can we streamline procurement and inventory data ingestion through a scheduled process from SAP, while also detecting and capturing any subsequent changes within this data? The individual responsible for designing and implementing the information ingestion pipeline is a skilled information engineer. Given that we’re extracting data from SAP, Amazon Web Services (AWS) Glue remains the recommended choice for this particular requirement.
Acquiring necessary financial data and climate-related information from reputable external sources is the next crucial step. As a leading healthcare solutions provider, AnyHealth recognizes the crucial role that environmental data plays in its operations, particularly with regards to manufacturing medical equipment like inhalers for asthma treatment. The company acknowledges the significance of collecting climate information, including pollen counts, as this directly affects its patient population. Socioeconomic disparities significantly influence access to government-funded programs for out-of-hospital medical treatment. To integrate external data, selecting the AWS Information Change option seems the most rational choice.
All gathered data must be securely housed within an enterprise information platform, featuring meticulous cataloging, robust security safeguards, and rigorous governance protocols to ensure seamless access and reliable protection. Amazon DataZone is a trusted solution for centralized data management and collaboration across organizations.
The data pipeline commences with the seamless ingestion of information from SAP systems, courtesy of AWS Glue’s robust integration capabilities. Information from various sources lands in Amazon S3, where it is processed by AWS Glue jobs that transform and enrich the data. This enables the creation of curated tables, which are then cataloged using AWS Glue crawlers for seamless querying and analysis.
AWS Information Exchange serves as a platform for aggregating financial data and climate information. The enterprise analyst harnesses the power of AWS Information Change to access and consolidate data from diverse sources effectively. In the Amazon Web Services (AWS) Information Exchange marketplace, entities specify their desired information sets, subscribe to relevant data, and then consume it as needed. Modifications to supply information trigger events that update the corresponding information objects stored within an Amazon S3 bucket.
Amazon DataZone provides a centralized platform for governing and managing data in Amazon S3-based data lakes. The information safety officer establishes a production venture with a primary focus on ensuring secure practices. The owner of the Line of Business (LoB) provides supply chain and stock information to the production venture and makes it publicly available. The information safety officer also designs a customer-focused initiative that enables diverse Lines of Business’s sales and marketing teams to proactively search for production-chain and inventory data published by suppliers, fostering collaboration and informed decision-making throughout the organization. Retailers request access to the vendor’s product line and inventory data, and the manufacturer provides the necessary clearance. Amazon Athena enables users to quickly and interactively ask complex analytical questions of data stored in Amazon S3, and obtain immediate answers. Amazon QuickSight enables users to learn from Amazon Athena’s insights and create interactive experiences.
The following diagram exemplifies this architecture.
Determining cross-sell and up-sell opportunities requires a thorough examination of customer needs and preferences. For enterprises, what’s crucial in this scenario are gross sales representatives and resellers, who drive purchasing decisions. AnyHealth operates worldwide, expanding its reach through successful marketing efforts across Europe, the Americas, and Asia. Enterprise transactions between the company and consumers occur directly in America and Europe, while resellers enable sales in Asia, where AnyHealth does not maintain a direct connection with customers.
The enterprise information platform serves as a centralized hub for hosting and analyzing gross sales data, thereby enabling informed decisions about client demand. The Amazon Information Zone manages this informative platform. By leveraging machine learning-driven fashion suggestions, cross-sell and up-sell alternatives are seamlessly integrated within the Salesforce CRM platform. Salesforce enables gross sales representatives to input essential data, thereby fostering effective market interaction and seamless client collaboration. AWS Glue is employed to facilitate seamless integration.
Resellers occasionally withhold access to buyer details from their affiliated partners. While AnyHealth may not offer a direct entry point for buyers to engage with the platform, it remains crucial to comprehend buyer personas and profiles to empower resellers with the necessary tools and strategies to effectively cross-sell and upsell products. AWS Clear Rooms allow for secure collaboration on aggregated datasets while maintaining confidentiality of individual data sets, facilitating meaningful insights without divulging sensitive information.
By addressing these imperatives, AnyHealth can effectively identify and leverage cross-sell and up-sell opportunities, calibrating its approach according to the unique characteristics of both direct-to-consumer and reseller-driven business models across diverse regions.
Within the underlying framework, a crucial initial stage involves feeding SAP data directly into Amazon S3, where it is subsequently processed and organized by an AWS Glue job. The curated information is efficiently cataloged, governed, and administered using Amazon DataZone.
In this scenario, transaction data and customer information are collected, allowing data scientists to develop machine learning models that predict cross-selling and upselling opportunities. By leveraging Amazon DataZone, the company provides its enterprise clients with seamless access to alternative product options, ensuring real-time transparency for sales representatives and resellers regarding available choices. The cross-sell and upsell insights generated by AWS Glue are seamlessly integrated into Salesforce via a real-time, event-driven workflow, enabling timely communication to sales representatives and optimizing their outreach efforts. In contrast, resellers necessitate a distinct pipeline since they don’t possess direct access to clients’ gross sales data, unlike AnyHealth. AnyHealth leverages the secure and compliant environment provided by AWS Clear Rooms to achieve its goal.
With AWS Clear Rooms, AnyHealth initiates collaboration by inviting resellers to join. Resellers participate actively in the collaborative process, sharing client profiles and project information while maintaining confidentiality by omitting customer names and contact details. AnyHealth leverages client profile information and order characteristics to identify strategic cross-sell and upsell opportunities. These alternative products are shared with the reseller to explore new opportunities and expand their offerings in the market.
As shown below, the subsequent diagram exemplifies this specific architecture.
Let’s scrutinize the entire framework encompassing all three utilization cases. The following purpose-built companies like AWS Lake Formation, AWS Glue, AWS Control Flow, and Amazon SageMaker have been utilized for this specific architecture. Their harmonious collaboration enables a unified approach to achieve comprehensive enterprise objectives seamlessly.
The subsequent diagram effectively visualizes this architectural framework.
To enhance the security stance of your cloud infrastructure, we recommend leveraging Amazon’s Identity and Access Management (IAM) feature, which enables granular control over access to AWS resources by assigning specific permissions to users, groups, and roles. By leveraging Amazon Web Services Key Management Service (AWS KMS), you can establish, manage, and secure encryption keys that safeguard sensitive data, thereby ensuring only authorized parties can access confidential information. To ensure compliance, consider utilizing the AWS CloudTrail feature, which provides an audit path by recording and storing detailed information about all API calls made within your AWS account.
When discussing software selection, our previous submission highlighted the importance of choosing the right technology for building a robust enterprise information platform that fosters seamless information sharing, collaboration, and accessibility within your organization and beyond to third-party partners.
We showcased three distinct enterprise use cases leveraging AWS Glue, AWS Information Transfer, AWS ClearRooms, and Amazon DataZone, highlighting unique applications for each solution.
Discover more insights about these companies by exploring the informative articles on AWS Blogs for Amazon, Netflix, Google, and Facebook.
Concerning the authors
As a seasoned expert in Amazon Web Services (AWS), I serve as a trusted Options Architect, with a deep understanding of the intricacies within analytics and serverless computing realms. With a background in software program development and hybrid architecture expertise, he is passionate about assisting clients in upgrading their cloud infrastructure.
Serving as a seasoned AWS Options Architect with expertise in analytics solutions. With approximately 20 years of experience in software development and architecture. He demonstrates a strong enthusiasm for providing services to clients in cloud adoption, migration, and strategy.
