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1 – 2 of 2J. Louis Anon, Harry Filowitz and Jeffrey M. Kovatch
This paper seeks to describe how Sarbanes‐Oxley controls can be integrated into an investment company's overall corporate governance framework.
Abstract
Purpose
This paper seeks to describe how Sarbanes‐Oxley controls can be integrated into an investment company's overall corporate governance framework.
Design/methodology/approach
Outlines the elements of an effective corporate governance framework, describes the benefits of integrating Sarbanes‐Oxley controls and adopting an effective corporate governance framework, and recommends how to go about that integration process
Findings
Sarbanes‐Oxley controls put in place by many firms are disconnected from other governance controls designed for compliance with federal, state, and self‐regulatory‐organization regulations. Many firms are taking a holistic view of mitigating financial reporting risk by integrating Sarbanes‐Oxley controls into their distributed governance frameworks.
Originality/value
Provides useful advice on how to integrate Sarbanes‐Oxley controls into an overall corporate governance framework.
Details
Keywords
Tawseef Ayoub Shaikh and Rashid Ali
Tremendous measure of data lakes with the exponential mounting rate is produced by the present healthcare sector. The information from differing sources like electronic wellbeing…
Abstract
Tremendous measure of data lakes with the exponential mounting rate is produced by the present healthcare sector. The information from differing sources like electronic wellbeing record, clinical information, streaming information from sensors, biomedical image data, biomedical signal information, lab data, and so on brand it substantial as well as mind-boggling as far as changing information positions, which have stressed the abilities of prevailing regular database frameworks in terms of scalability, storage of unstructured data, concurrency, and cost. Big data solutions step in the picture by harnessing these colossal, assorted, and multipart data indexes to accomplish progressively important and learned patterns. The reconciliation of multimodal information seeking after removing the relationship among the unstructured information types is a hotly debated issue these days. Big data energizes in triumphing the bits of knowledge from these immense expanses of information. Big data is a term which is required to take care of the issues of volume, velocity, and variety generally seated in the medicinal services data. This work plans to exhibit a survey of the writing of big data arrangements in the medicinal services part, the potential changes, challenges, and accessible stages and philosophies to execute enormous information investigation in the healthcare sector. The work categories the big healthcare data (BHD) applications in five broad categories, followed by a prolific review of each sphere, and also offers some practical available real-life applications of BHD solutions.
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