Senior IT leaders and enterprise architects face pressure to modernize data architectures and data management practices that have a direct, “line-of-sight” impact on the goals of business stakeholders. Given the disruptive times we live in, many organizations are working to accelerate their digital transformation and modernization.
The strategic initiatives associated with digital transformation and modernization include cloud analytics (e.g., cloud data warehouses and data lakes), data governance and privacy, and the ability to achieve a 360-degree view of the business (e.g., customers, products, suppliers, finance, etc.).
As data volume grows, more data types emerge, and the rate and speed at which data is being created increases exponentially. Enterprise architects are challenged to create a next-gen enterprise architecture strategy and a roadmap that is comprehensive, integrated, and modern. The solution and roadmap will also need to be modular, flexible, agile, and future proof as technologies continue to change and evolve.
Addressing the Full Spectrum of Data Challenges for Next-Gen Enterprise Architectures
Many enterprise architects look to rationalize and centralize emerging technologies, processes, and best practices, making them available to all business units in a self-service mode to accelerate digital transformation and modernization initiatives across the enterprise.
By defining enterprise-wide technology standards and tools, enterprise architects strive to plan for reusability, reducing costs and future proofing the architecture as technology changes and enforcing data governance and privacy policies to democratize data so that trusted data travels securely throughout the enterprise in a frictionless, self-serve fashion.
Traditional data management solutions to support next-gen architectures are expensive, manual, and require time-consuming processes, while newer emerging niche vendor solutions are fragmented. As such, they require extensive integration to stitch together end-to-end workstreams, requiring data consumers to wait months to get useful data.
Therefore, a next-gen enterprise architecture must support the entire data pipeline, which includes the ability to ingest, stream, integrate, and cleanse data. It must also be able to enrich, prepare, master, govern, protect, and deliver all types of data to a growing number of data consumers to improve decision making, power advanced and predictive analytics, and enhance business outcomes.
Paramount to a successful modernization effort is establishing a robust data architecture that accommodates new cloud data warehouses and data lakes, IoT, big data, master data management, data governance, and evolving regulatory requirements that support a wide range of business initiatives.
The Benefits of an Intelligent Data Platform
Aimed at better aligning IT capabilities and investments with business priorities, Informatica provides senior IT leaders and enterprise architects with an enterprise-class, cloud-native, end-to-end cloud data management platform.
Informatica helps enterprise architects build a comprehensive enterprise cloud data management platform that can address more users, new data management patterns, data sources, data types, latencies, and deployment options with an Intelligent Data Platform. Some next-gen enterprise architecture benefits from Informatica’s Intelligent Data Platform (IDP) include:
- An enterprise cloud data management solution with advanced capabilities that scale in terms of performance and services for enterprise-wide deployments
- A multi-cloud, modular, and microservices-based architecture framework that lets you start small and grow at your own pace and is easily integrated via open APIs into your environment
- The AI-powered innovation of the CLAIRE® engine, which provides built-in intelligence and automation by leveraging Informatica’s leading metadata management capabilities across the platform and all data management activities
- Unified and integrated tools on a common platform that support end-to-end workstreams for multiple stakeholders
- Management and governance for all things data, from mainframes to cloud and IoT, at any speed
In addition, the complete Informatica Intelligent Data Platform provides a comprehensive end-to-end solution built from products that are all industry leaders in their respective markets.
These are critical capabilities to building a next-gen enterprise architecture that can mature in phases and supports the business while adapting to the requirements of future needs with minimal internal disruption to your organization.
To learn more about how our customers and partners are implementing next-gen enterprise architectures with Informatica’s Intelligent Data Platform, join us for the Next-Gen Enterprise Architecture Virtual Summit. You’ll hear from architects, experts, and thought leaders who will share their approaches, challenges, and best practices for building next generation enterprise architectures. Register now for the event in your region: