Enterprise Architecture: Balancing Efficiency, Security, Risk & Reliability

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Larger corporations typically require more complex technology infrastructure and integration.

Proper planning for systems design, development and deployment is critical to deliver against enterprise technology road maps. It’s typical to have different departments with overlapping timelines, each attempting to deliver to plan. Timing is everything for successful delivery.

“Constraint theory” absolutely applies here, as teams are typically constrained on time, budget and/or resources. Enterprise architecture teams attempt to strike a balance:

  • What can be delivered on-time and if necessary, in phases?

  • What can be delivered within budget and if necessary, what might a Minimum Viable Product/MVP look like, architecture-wise?

  • How do we leverage internal resources and teams within governance, security, risk, logistics and procurement?

The Orange Development Team has over 20 years’ experience designing, developing and deploying large-scale systems, applications, integration and infrastructure, primarily for Fortune 100 and 200-level companies.

We’ve successfully delivered large-scale architecture, platforms, applications and integrations such as:

  • Retail Tech (E-Commerce, pricing optimization, supply chain, replenishment, PIM integration)

  • Supply Chain Management (SCM) and Third-Party Logistics (3PL) systems build-out and integration

  • FinTech - financial applications, trading systems design and development

  • MarTech - marketing solutions, E-Commerce/CRM/PIM and social channels integration

  • EdTech - learning management systems (LMS), experiential learning

  • HR and ERP software integration (PeopleSoft, Workday, ADP, Paychex, SAP, Epicor, NetSuite, Oracle)

  • API Gateways and Enterprise Service Buses (ESBs)

  • RDBMS, NoSQL databases, data lakes and data warehousing (EDW)

  • Content Management Systems (CMS)

  • Mobile Device Management (MDM) solutions

  • PaaS, IaaS and SaaS solutions for rapidly-deployed platforms, infrastructure and software

  • Spark, machine learning and real-time data pipelines

  • MLOps and DevOps (CI/CD pipelines)

  • Messaging and Queuing software (IBM MQ, Tibco, RabbitMQ)

  • Caching Layers (memcached, Redis)

  • ERP (enterprise resource planning) systems

  • Learning Management Systems (LMS)

  • Document Management systems (DMS)

  • Corporate Intranets

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