Navigate the AI Revolution with Comprehensive Transformation Strategies

Digital Transformation Consulting Service

AI Revolution Escalates Digital Transformation

Digital transformation is the integration of digital technology into all areas of a business, fundamentally changing how it operates and delivers value to clients, and it is also a cultural shift for organizations. The rapid advancement of generative AI has accelerated the digital transformation process and altered companies' business models and competitive landscapes.

With Transformation Consulting, Unleash the Power of Technology

ELECTRUM CLOUD_

According to McKinsey’s research, over 70% of companies have not achieved their transformation goals. Electrum Cloud, a subsidiary of CloudMile Group, offers technical consulting services to help businesses overcome these challenges. From strategy development to implementation, we provide cutting-edge solutions to ensure clients have a successful digital transformation journey.

Digital Transformation Strategy

STRATEGY_
  • Current Situation

    Electrum Cloud provides valuable insights by conducting thorough data collection and stakeholder interviews to comprehensively understand the client's current state.

  • Strategy Recommending Recommendations

    To ensure a seamless digital transformation from end to end, Electrum Cloud will assist in developing comprehensive transformation strategies and business plans, and also provide technical implementation, support and recommendations.

  • Goal Setting

    Based on the client's long-term transformation strategy, Electrum Cloud will help to set a feasible goal which is set across three dimensions: processes, people, and technology.

Four Steps to Establish a Transformation Journey

  1. Business Case

    • Cloud migration
    • System applications
    • Security solutions
  2. Strategy
    Development
    • Multi-cloud security management
    • Security defense and resilience
    • Business continuity management (BCM)
    • Data platform transformation
    • Data governance
    • Design thinking: AI application implementation
  3. Technology
    Assessment
    • Technology evaluation criteria
    • Technology procurement process
  4. Architecture
    Optimization
    • Cloud governance framework
    • Cloud architecture optimization

IT Modernization

IT MODERNIZATION_
Cloud Migration

Electrum Cloud helps clients evaluate their cloud readiness, such as application maturity, infrastructure, network systems, and risk assessments. This process enables clients to obtain a comprehensive understanding of their current technical environment before migrating to the cloud, and Electrum Cloud also recommends clients the cloud vendor selection.

Multi-Cloud Adoption

Electrum Cloud delivers multi-cloud architecture solutions, encompassing cross-cloud resource integration, data security, and ensuring seamless system operation and portability.

Data Management

Data Governance

Electrum Cloud leverages international data governance frameworks such as CDMC (Cloud Data Management Capabilities), to assess client’s existing data environments and develop customized recommendations. Through the data governance process, we are dedicated to enhancing the accessibility, reliability, and usability of your data and analytics for your organization.

  1. Discover
    Through interviews, we will identify the client’s requests to ensure the effective and efficient use of information in enabling the client to achieve its goals .
  2. Recommend
    Analyzing the company's current state via t international data governance frameworks we will support the client to prioritize the plans and define the technical solution structures.
  3. Execute
    Help the client to implement the data governance strategy and establish a data governance platform.
Data Platform Transformation

To respond to the rapidly changing business environments and data application scenarios, Electrum Cloud provides data platform transformation strategies. We assist clients in making optimal technology decisions and to ensure effective data platform optimization.

  1. Discover
    In the early stage, Electrum Cloud assists the client in conducting interviews to identify the requirements, transformation goals and then develop the data platform optimization strategy.
  2. Design
    Evaluate existing technologies, design technical applications and data architectures, and deliver a comprehensive technical blueprint.
  3. Develop
    Clearly define the execution departments and development plan. Initiate the platform optimization and feature expansion to achieve the development objectives.

Security Operations

Security Defense and Resilience

Electrum Cloud' are dedicated to building comprehensive cybersecurity resilience and defense frameworks. We evaluate cybersecurity investment priorities, assess system maturity, and provide customized cybersecurity defense and implementation strategies, including firewall, intrusion detection, and encryption measures.

Zero Trust Architecture

Electrum Cloud uses the international zero trust security framework to help to evaluate the organizations' existing environments , and provides phased guidance to deploy zero trust architectures to maximize the protection of sensitive data and application accesses.

Business Continuity Management

Electrum Cloud conducts in- depth interviews to understand your business objectives and develops customized Business Continuity Management (BCM) and disaster recovery plans aligned with the ISO 22301.

Maintain Critical Business Operations
Verify the Security of Backup Sites
Maintain effective communication and information
Prioritize service providers
Establish a crisis succession plan

Enterprise AI Implementation

Electrum Cloud offers AI strategy consulting services supporting enterprises in clarifying why they want to implement AI, identifying challenges, defining expected outcomes, accelerating AI implementation, mitigating development risks, and generating significant commercial value.

  1. Purpose
    • Build a diverse team
    • Establish the rules for related users
    • Cross-team communications
  2. Data and Policy
    • Collect the data required for the objectives
    • Evaluate the quality of existing data
  3. Realization
    • Organize existing AI data
    • Define AI training logic
  4. Deduction
    • Leverage data to infer AI capabilities
    • Review objectives and make feasibility adjustments
  5. Knowledge
    • Complete adjustments and define inferences
    • Evaluate the impact of AI on stakeholders
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