Outgrowing Systems

We Help Companies Outgrowing Systems

 

 

KANO consultants have deep expertise in helping companies with a structured methodology to assess the replacement plan for each outgrowing system bottleneck to growth. Companies that may be outgrowing systems struggle with challenges such as SG&A growing faster than revenue, significant variances across processes, inventory traceability issues, and financial margin issues.

Root Cause Analysis Of The Operational And Financial Issues

Not sure what may be causing operational and financial issues? Have you tried ad-hoc arrangements in the past, but still, the operational and financial issues remained unsolved? Companies seek help from KANO when they need help with the root cause analysis of operational and financial issues.

Process Re-Engineering To Remove Process Bloatedness Prior To System Replacement

Processes overengineered because of outgrowing systems? Exploring new systems but afraid that the existing process overengineering may lead to incorrect software? Companies seek help from KANO when they need help with process re-engineering.

Building Interaction Flows Of Different Systems

Don’t know how to map interaction flows of different systems? Don’t have experience mapping API workflows of different systems? Companies seek help from KANO when they need help in building interaction flows of different systems.

Enterprise Architecture To Re-Define The Responsibility Of New Systems

Don’t have a defined architecture and not sure how replacing outgrowing systems may impact the organizational processes? Need help defining architecture before outgrowing systems can be identified? Companies seek help from KANO when they need help defining enterprise architecture.

Master Data Governance Framework In The New Architecture

Don’t have experience with master data governance planning and building a framework? Not sure how the master data governance framework will change with new systems? Companies seek help from KANO when they need help with master data governance.

Structured Selection Process To Identify New Systems

Not able to create a structured framework to replace systems? Don’t have access to a structured framework for the selection process? Companies seek help from KANO when they need help with a structured selection process.

Our Services For

Outgrowing Systems Challenge

 

KANO offers several services to help with this challenge, such as digital strategy and planning, business process re-engineering, enterprise software selection, solution and enterprise architecture design, data architecture, and governance strategy.

Digital Strategy And Planning

Our digital strategy and planning services start with an assessment of the current pain points with digital strategy. The assessment results in building a roadmap of different priorities, as well as a business case of different phases, along with an enterprise architecture that will act as a guiding map for the overarching transformation initiative.

Business Process Documentation

This process helps reverse engineer the processes deeply buried in business systems, helping teams visualize and brainstorm the ideal state of the system from their perspective. The process is then followed by the to-be process models, comparing the changes and investment that would be required to build consensus among teams.

Enterprise Software Selection

This service helps with the structured process for enterprise software selection such as CRM, ERP, WMS, TMS, eCommerce platform, MES, or any other technology that might be part of the enterprise architecture.

Solution And Enterprise Architecture Design

This service helps in designing the enterprise architecture, such as identifying the roles and responsibilities of different components. As well as process boundaries and sources of authority of different datasets.

Data Architecture And Governance Strategy

These services help with the data architecture and governance strategy, such as identifying the role and responsibilities of different data sets, their interaction with different systems, as well as how each system will augment the datasets.

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