Data strategy Coaching

Why you should attend

Organisations must have a Business Strategy in order to increase their chances of survival. Data is the lifeblood of any business process and the foundation of all well-informed decision making activities. Therefore for a Business Strategy to succeed it must be integrated with a well-designed and executable Data Strategy.

As a leader within your organisation this coaching will provide you with the knowledge, skills and approaches that can maximise the outcomes for your organisation.

What we offer

Description

What makes our bespoke approach unique is that the coaching will not only teach participants rock-solid priniciples, but will also coach them through developing key artefacts that can be used as foundational blocks of their Data Strategy going forward, combined with the skills required to ensure their adoption and adaptation for the future.

The areas covered will depend on your exact requirements from all of a well formed Data Strategy’s critical elements, which includes :

  • Business Alignment and Data Ownership
  • Data Sourcing and Architectural Strategy
  • Quality Framework
  • Secutiry, Privacy Regulatory and Operational Risk Controls
  • Governance and Continual Improvement

Who Should Attend?

C-Suite, Senior Management, Technology Leadership and Architects

Delivery Styles

Client Specific; Workshop

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AI/ML Strategy Coaching

Why you should attend

Most organisations must consider their approach to AI/ML – even if it is to conclude that they have no immediate need for implementing it. However, increasingly organisations are adopting it although possibly through a piecemeal road map.

It is essential to ensure that an organisation has a coherent strategy driving adoption to maximise the benefit and also avoid pitfalls such as bias in what is delivered. The strategy adopted must also form a coherent part of the overall Data Strategy and Business Strategy as well.

What we offer

Description

This Coaching topic covers the required components of an AI/ML Strategy and tackles issues such as the ethical use of AI/ML and its practical applications rather than the hype.

Who Should Attend?

C-Suite; Technical Delivery Management, Software Engineers; Data Scientists; Data Architects;Tech Architects

Delivery Styles

Client Specific; Workshop

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Data modelling Coaching

Why you should attend

It is only by having an agreed set of definitions and structures of our data that we can manage, govern and enable its benefit to our organisations. Data modelling skills are absolutely core to the effective use, management and governance of data within organisations. 

What we offer

Data Modelling Essentials

Description

This Coaching topic covers the core skills required to develop and maintain Logical Data Models.

Who Should Attend?

Data Managers;  Software Engineers; Data Scientists; Data Architects; Tech Architects

Delivery Styles

Public Scheduled; Client Specific; Workshop

Enterprise Data Modelling

Description

This Coaching topic builds on the Data Modelling Essentials skills to extend modelling into Metadata Modelling and Denormalised Modelling that support the wider Enterprise Data landscape.

Who Should Attend?

Software Engineers; Data Scientists; Data Architects

Delivery Styles

Public Scheduled; Client Specific; Workshop

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Data Modelling Consultancy

What we can deliver

Our Consultants have many years of experience developing Data Models for many different Market Sectors across the globe.

The Data Gym also has extensive library of Data Model subject areas that can assist our Consultants to develop Data Models for you more rapidly and with a high degree of confidence.

We are able to deliver the following modelling styles:

  • Conceptual/Business Domain Models
  • Structured Logical or Business Data Models
  • Taxonomical/Ontological Data Models

We use BiZZdesign to store our models in and can either use this tool or export our foundational Data Models into your enterprise data modelling tool as required.

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Contemporary Data Architecture Coaching

Why you should attend

Data Architecture is the function that ensures that organisations maximise the benefit but adopting patterns of data delivery that create re-use and agility through data-driven approaches.

This Coaching topic covers how to optimise the Data Architecture using contemporary thinking to deliver future looking capabilities around data for organisations.

What we offer

Event Driven Architectures

Description

Event driven architectural approaches are based upon the thinking that organisations are driven by events that trigger processes and that processes also generate further events. Adopting this approach allows organisations to respond quickly and holistically to events that drive and are driven by key events such as Account Closures.

Who Should Attend?

Data Managers;  Software Engineers; Data Scientists; Data Architects;Tech Architects

Delivery Styles

Client Specific; Workshop

Micro Service Designs

Description

Micro-services offer an architectural approach that allow organisations to adapt piecemeal in reponse to new data requirements avoiding the pitfalls of monolithic programmes. They also provide a strategic route to the gradual demise of legacy system infrastructure.

Who Should Attend?

Software Engineers; Data Scientists; Data Architects, Technical Architects, Technology Managers

Delivery Styles

Client Specific; Workshop

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Data Governance Coaching

Why you should attend

An effective approach to data governance is central to any effective data management approach. Data Governance defines the policy and approach to overseeing data across the enterprise. Data Governance defines what data is important, describes it, organises it and ensures correct ownership and accountability. A comprehensive understanding of data governance best practices are a must for every enterprise seeking to maximize the benefit and minimize the risks of its data.

What we offer

Data Governance Coaching and Review

Description

A structured approach to data governance best practices drawn from across EDM Council’s DCAM / CDMC and DAMA DMBOK best practices. It is both engaging and practical showing organizations how to put data at the heart of their business success. 

  1. Data definitions, domains and ensuring business engagement
  2. Best practices in identifying and organizing authoritative / trusted sources of data
  3. Aligning data to business services and processes
  4. Sustainable maintenance, keeping data governance fresh and providing business value

Who Should Attend?

Data Governors, Data Officers, Data Managers; Data Stewards, Data Architects; Tech Architects

Delivery Styles

Client Specific; Workshop

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Data Management Coaching

Why you should attend

Data Management is the collective grouping of all activities necessary to ensure data is fit for purpose. It includes and combines

What we offer

Data Management Coaching and REVIEW

Description

Comprehensive coaching and a full review of the existing data management approach with gap analysis / recommendations against EDM Council’s DCAM / CDMC and DAMA DMBOK best practices.

  1. Data Governance setting out the policies, oversight, authoritative sources and data in scope
  2. Data Architecture including the principles and structure required structure to shape the data and data flows to align with the enterprise’s ambitions.
  3. Data Quality ensuring that the data is measured and monitored for its continued suitability for its intended purpose 
  4. Data Security and Privacy to ensure data is handled in compliance with the enterprise’s data policy and governing regulation and legislative framework

Who Should Attend?

Data Managers; Data Architects;Tech Architects

Delivery Styles

Client Specific; Workshop

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Regulatory and Compliance Automation

What we can deliver

Our Consultants have many years of experience in specifying the frameworks and processes required to implement solid Regulatory Compliance. In an era of increasing automation, we have also developed expertise in automating the delivery of these critical functions into the system landscape.

The relationship between the organisation’s Metadata capability and its Data System capability is key and we understand how to drive automation using the three domains of metadata to delivery:

  1. Data Meaning
  2. Data Monitoing
  3. Data Enforcement

We will work collaboratively with your organisation to understand what the current maturity level is and then work with you to create:

  • a strategic delivery roadmap
  • an architectural framework
  • implementation designs
  • automated system components
  • monitoring capabilities

We can also assist in the important development of your Data Governance framework and Data Management frameworks as required.

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