Breaking down enterprise data silos

Translating business strategy to a an achievable operating plan is challenge without efficient collaboration. This starts with data.

Article date
Dec 3, 2023
Category
Data

Why managing AI risk presents new challenges

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The difficult of using AI to improve risk management

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How to bring AI into managing risk

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Pros and cons of using AI to manage risks

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Benefits and opportunities for risk managers applying AI

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When acquiring a business, integrating departments can be a logical step to ensure focused economies of scale. As the organization expands, the proliferation of resources and processes within each department gives rise to the development of specialized IT tools. However, the integration of these systems becomes increasingly complex over time, hindering efficient data exchange.

To thrive in today's dynamic and fast-paced business environment, addressing the inefficiencies arising from poor communication between different departments is crucial. The challenge lies in translating business strategy into a feasible operating plan without seamless collaboration.

While IT applications were originally intended to enhance process efficiency and significantly cut costs, feedback from numerous business users across diverse organizations indicates common challenges:

  1. IT applications often take an extended period to implement new business requirements.
  2. Changes are consistently as costly, if not more so, than the initial implementation.
  3. Achieving end-to-end processes across heterogeneous systems is perceived as nearly impossible.

It is now opportune to reconsider the entire mindset regarding Enterprise Business Applications. The interconnectivity and interdependence of processes across departments suggest a need for enterprise data to flow seamlessly throughout the organization.

Imagine developing an Enterprise Business Management Platform functioning as an operating system for the entire organization. This system would offer:

  • Data definition and management
  • Intelligent scheduling and data routing capabilities
  • Microservices tailored to each business function, providing end-users with flexibility in determining usability aspects at the presentation layer

By simplifying the integration of existing application silos, eliminating the need for multiple software licenses, and upgrading outdated technology stacks, this approach aims to:

  1. Ensure business continuity and flexibility to swiftly adapt to changing needs.
  2. Reduce the overall cost of the IT footprint.
  3. Leverage best-in-class technology - prepare for the future in areas such as generative AI and Machine Learning.

Do you recognize a compelling business case for such a substantial IT transformation?