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5 Tips for Transparency in Claims Processing Using Data Governance

What are the business rules that companies are using for claims processing? This is a common question when it comes to performing analysis on claims data and is becoming increasingly important with regulations on billing transparency on the way. The logic used for claims processing is typically embedded in code and is not transparent to […]

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Join Us at MicroStrategy World 2020

MicroStrategy World 2020 is about a month away, happening February 4-6 in Orlando, FL. Sunny, warm weather and the latest MicroStrategy releases will make for an awesome and exciting, education-packed week. Perficient is proud to be a Silver sponsor of the event this year.  Our experts look forward to meeting you in the expo hall […]

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Initiating a Data Governance Program in Financial Services

Previously, I discussed the components needed to design a data governance strategy. This post will describe in detail, how to initiate the data governance program. The first step in implementing an enterprise data governance program is conducting a comprehensive assessment of all data related policies, processes, standards, repositories, and usage. Determining the major pain points […]

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Meet Perficient’s Chief Strategists: Arvind Murali

Thrilling our clients with innovation and impact – it’s not just rhetoric. This belief is instrumental for our clients’ success. In 2018, we introduced our Chief Strategists, who provide vision and leadership to help our clients remain competitive. Get to know each of our strategists as they share unique insights on their areas of expertise. The […]

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Science is Interesting: The Human Brain Project

Have you heard about the Human Brain Project? It is one of the largest funded projects to build a super computer that will replicate the molecular architecture of the human brain. This was done to understand how brain comprehends diseases, genomic sequencing, and eventually to correct the defects behind human brains. It included nuero-scientists, data […]

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Components of a Data Governance Strategy in Financial Services

Previously, I analyzed the types of data in a governance program for financial services companies. In this post, I discuss the components needed to design a data governance strategy. A comprehensive program to manage data consists of a number of components: Data Strategy & Architecture A firm-wide repository (data dictionary) should be constructed to catalog […]

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[Guide] Designing a Data Governance Program in Financial Services

Data is the lifeblood of any company. It is the basis of management decision-making, regulatory supervision, taxation, and investor and market behavior. In recent years, firms have recognized data as an independent asset that should be managed and leveraged to fully reap its benefits. As firms began to recognize the power of data for its […]

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Digital Health Governance is at a Premium

Previously, I highlighted artificial intelligence, and all the opportunities it brings to the industry. In the final blog of this series we explore data governance and its role in digital health. Given the other four trends, one of the biggest challenges will continue to be obtaining executive buy-in for digital health initiatives. That means actively […]

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Governance in Healthcare: The New Healthcare Imperative

Governance forms the framework for information, content, and knowledge management to operate. Establishing clear, common, and consistent models in healthcare upon which to ground governance components provides a solid foundation executing the management activities that enforce these governance requirements. This ensures the consistency and relevancy of the information for the business – the ultimate goal […]

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Governance in Healthcare: A Growing Need for Reference Mode

Of all the governance trends, none is more foundational and critical to the success of the governance program – indeed the organization itself – than the need for accurate, consistent, and relevant models that communicate the meaning, use, and residency of the assets of the enterprise. Modeling not only addresses the integration and ingestion of […]

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Governance in Healthcare: Ownership and Consistency

Democratization of Ownership and Stewardship The rise of big data, self-service, and more powerful and flexible end-user information visualization and preparation tools, consumer/ member/patient experience is impacting governance in a significant manner with regard to structure, decision rights, and accountabilities. End-users are gaining more control of these assets, including the ability to integrate and manipulate […]

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Governance in Healthcare: Seen as a Business Capability

Related to the trend of recognizing the difference between information and data, content, and knowledge is that governance of information requires it be viewed as a business capability. This recognition is starting to take hold because healthcare organizations are realizing that it is the business needs and drivers that supply the context for data, content, […]

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The Challenge of Fractured Governance: Digital Health Innovation

Once upon a time, it was simple. The IT department took care of technology implementations and kept the trains (emails) running. Marketing had a distinct set of tools, operating within relatively clear parameters. Clinical applications operated in their own silos, and that was just fine. Operational and workflow systems had their own idiosyncrasies. Imperfect, but […]

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Governance in Healthcare: Information, Content and Knowledge

The trend of treating information, content, and knowledge as assets means that ultimately these things need to be addressed and accounted for just like all other assets in a business. This means making it a part of the organization’s balance sheet – if not formally, as accounting principles do not yet support this capitalization concept […]

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Data Lake and Information Governance – The Key Takeaways

A Data Lake can be a highly valuable asset to any enterprise, and there is a myriad of technology solutions available for leveraging the processes to feed, maintain and retrieve information from the Lake. But all this technology is, if not worthless, significantly less valuable, if the environment is not well governed and managed. This […]

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The Importance of Data Lineage in Data Governance

Data lineage is the capture of the flow of data from the source through intermediary systems and data transformations to a final destination or consumer. Having good data lineage provides a means to confirm that data used by consumers is from trusted, authoritative sources with adequate controls in place to govern the hand-offs between systems. […]

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Establishing Authoritative Sources in Data Governance

Establishing an authoritative sources capability confirms the enterprise approved source for data ownership, including both origination and distribution. Before a financial institution can agree on authorized sources of data, there must first be a common understanding of the type of data being sourced. Data will need to be classified in an agreed-upon enterprise data model. […]

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Responsibility of Data Architecture in Data Governance

The data architecture capability will supply the components and standards necessary to implement other capabilities coherently and enable them to work together. A primary responsibility of data architecture is to define and have an accepted enterprise-wide set of models, standards, glossaries and hierarchies which allow a standard description of data across business lines, products and […]

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Defining Organizational Roles in a Data Governance Road Map

The data governance road map should define a data governance operating model and organization structure. As part of the structure, an executive steering committee should be established with representation from all key areas of the financial institution. The steering committee is responsible for providing overall direction and vision for the company’s data strategy and governance […]

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Information Governance – Essential Ingredient for Business Value

In my last blog, you may recall that we were discussing the value and the need for Standards and Templates for ensuring a consistent and efficient use of the Data Lake, both in its population (supplying) and in its retrieval (consuming) of information. To achieve this level of consistency and efficiency, as well as reliability, […]

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