Work Ethics

How We Work

A major feature of our practice has been the nature of our relationship with clients. Particular emphasis is placed on partners and staff who maintain independence and objectivity whilst building an understanding of the problems faced by our clients and becoming involved in finding solutions. The focus of our consultancy service philosophy is aimed at understanding the business and industry in which our clients operate. We have international reputation of adding value to clients’ businesses; this has no doubt influenced our clients in returning to us for further advice and additional services.

Yaad & Associate’s service approach to client is characterized by special regard to professional competence and commitment, which enables us to sustain our long-standing reputation and image. Being a medium sized professional practice, we are well acquainted with local conditions and have access to the necessary expertise to identify and serve the specific needs of each client.

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Our philosophy has been to develop internal capability in order to cater for our clients’ needs whenever required, but not to grow for the sake of size alone. Our growth has been organic. As a firm, we are small enough to provide personalize services and large enough to have available specialist competencies in broad areas of business consulting. Our internal structure enables clients to benefit from quick partner response, with fully briefed back-up partners and senior managers always available. Our service approach revolves around our expertise and commitment.

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We have a vast amount of expertise in accounting, financial, taxation and management consulting in the private sector and in operations of Government Ministries, Departments and Agencies (MDAs) because we have close association with both sectors in recent times in our professional career. Our Cumulative Professional Service Knowledge and Experience (CAKE) with businesses and government operations is considered in designing specific approaches for projects. Our expertise is further shaped by knowledge of clients and their industries.

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The various types of professional services’ tests at our disposal include facilitated meeting, interviewing, questioning, observation and inspection, documentation review, confirmation/representation, analytical review, data analysis, vouching and verifying, process mapping, process tracking, surveys, scanning, reconciliation, recalculation, and valuation. Where the controls are not satisfactory, adequate, or dysfunctional, we adopt the combination of system-based substantive approaches in reaching our Professional Service objectives and client outcomes.

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In order to provide assurance to your organization that the outcomes of our Professional Service is directed towards the achievement of your organisation’s objectives, we commit to undertake the review of corporate governance and search for new sources of evidence regarding the accuracy and completeness of performance information reported by our client as well as the review of major issues that impact on the client’s management, which is associated with the manner in which the client organisation is managed to achieve its objectives.

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Our system-based approach enables us to place reliance on business and accounting controls, recognizing that it is generally the most cost effective strategy in order to minimize our efforts with regard to routine transactions. Our detailed approach will focus on key business and financial risks faced by the Company to manage those risks in reaching our Professional Service opinion. We distinguish between the risks associated with routine transactions, non-routine transactions and accounting estimates. This approach delivers good results.

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We compare data to evaluate their inter-relatedness with some pre-defined expectations at every stage of our professional services. The following techniques apply: trend analysis (e.g., fluctuation analysis), benchmarking (e.g., industry averages and pre-determined budgets or standards), ratio analysis (e.g., financial ratios and process-related ratios), and modeling techniques (e.g., reasonableness tests and frequency distribution analysis). These techniques enable us to assess inherent risks, data inter-relatedness, and results that differ from initial expectations.

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