5 Data Governance Best Practices for 2021

By |2021-01-18T01:18:43-05:00December 22nd, 2020|Data Compliance, Information Governance and Management, Privacy|

The challenges of 2020 have required organizations to adjust their focus moving forward. Millions of workers have switched to remote work, a trend likely to continue long-term. At the same time, the expansion of data privacy regulations in an era of big data creates additional challenges. The data governance best practices listed below can help you stay on top. Data governance incorporates the processes and rules that guide the use of information, thus helping to ensure that users have access to quality data. Some benefits of data governance include increased productivity, reduced risk and simplified regulatory compliance. 1. Structure Data

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Metadata Management Unleashes the Potential of Enterprise Data

By |2021-01-18T01:14:52-05:00December 16th, 2020|Information Governance and Management|

Data offers the potential for immense power in driving decisions and informing business strategy. But without organization, data simply uses up space or, worse, inhibits business. Metadata management provides the key to harnessing the power of data. This increases productivity, promotes security and regulatory compliance, and expands data longevity. What is Metadata? In simple terms, metadata is information about data. In the same way that cards in a card catalog provide information about books in a library, metadata describes data in a file, web page or database. Through solid metadata management, organizations establish standards and processes around the process of

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Business Process Modeling Used to Enhance Data Governance

By |2024-03-12T16:37:52-04:00December 9th, 2020|Data Compliance, Information Governance and Management|

Data Governance policies specify who has access to data when, and who is accountable for the information. They also govern how the data is stored and maintained, mapped between systems, secured, backed up, and archived. By visually representing these activities and relationships, business process modeling emerges as an effective tool for enhancing data governance practice. Business Process Modeling Communicates Policy The growing number of industry regulatory standards that influence data governance means that more companies have to deal with compliance. These regulations include: Sarbanes–Oxley (Financial Reporting) Basel I, II, and III (International Banking) HIPAA (Healthcare) GDPR, CCPA, SHIELD, etc. (Data

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Data Literacy Drives Corporate Strategy and Marketing Success

By |2020-12-16T04:17:57-05:00December 1st, 2020|Information Governance and Management|

Business leaders devote considerable resources to implementing data-driven marketing campaigns and corporate strategy. However, if decision makers lack sufficient data literacy, they can easily misinterpret or mis-apply the data. This too often results in costly mistakes and loss of revenue. Data literacy includes the ability to properly understand and evaluate data, then use and communicate that information effectively to drive business outcomes. This implies understanding data sources and context. It also involves the ability to read charts, draw appropriate conclusions and recognize red flags that indicate problems with the data. Understand the Importance of Data Literacy Consider some of the

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Be Thankful that Business Data Improves Results

By |2020-12-16T04:15:08-05:00November 25th, 2020|Information Governance and Management|

Data informs nearly every modern business decision. Marketing departments focus on market data to find ready customers. HR directors gather data online to determine the best job candidates. And, knowing that business data improves results, executives examine market trends affecting supply chains, pricing, manufacturing, or distribution. Using data in various ways, modern companies streamline the process of manufacturing and getting a product to market. The savings that come from avoiding random acts of marketing or paying too much for resources significantly affect a company's bottom line. Everyone who runs a business can be grateful for that. Data Improves Productivity Through

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Balancing the Potential and Challenges of the Chief Data Officer

By |2020-11-19T03:58:18-05:00November 11th, 2020|Information Governance and Management|

In 2002, Capital One appointed Cathryne Clay Doss to the role of Chief Data Officer (CDO). The first to hold that title, Doss covered a wide range of duties relating to the strategic oversight of data. Nearly two decades later, the role of CDO continues to evolve. The corporate world took some time to catch the CDO vision. But the explosion of data in recent years has highlighted the critical need for data leadership at executive levels. At the same time, business leaders struggle to agree on what the CDO role entails, what skills it requires and how the reporting

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Data Valuation: The Key to Unlock Hidden Assets

By |2020-11-19T03:54:02-05:00November 4th, 2020|Information Governance and Management|

Consider the power of information. Big data drives investment decisions and informs innovation. On the other hand, sensitive data in the wrong hands can destroy a business practically overnight. Through data valuation, businesses quantify the value of their information—assets they can then use to generate more revenue for the company. For example, in healthcare, effectively managed data about treatment protocols and their outcomes leads to better patient results. In retail, information about customer buying habits drives future marketing campaigns and generates higher sales. And proprietary information delivers a competitive edge to technology and manufacturing companies. However, for all the value

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Managing Data at the Edge

By |2020-11-19T03:51:10-05:00October 28th, 2020|Information Governance and Management, Technology|

Smart technology powers our lives, from wearable tech to traffic control and smart factories. Data analytics promise safer travel, more efficient energy consumption and increased productivity. At the same time, the explosion of data has created new challenges. Increasingly, experts look to the benefits of managing data at the edge to address those challenges. Simply put, edge computing refers to processing data closer to where the data is created or consumed. For example, sensitive factory machinery generates vast amounts of data. Processing that data at the source saves bandwidth. Additionally, access to real-time analysis means that the machinery can adjust

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How Data Modeling Supports Effective Data Governance

By |2020-11-17T05:48:33-05:00October 14th, 2020|Information Governance and Management|

Today’s data modeling has entered a new era. Historically the best way to understand complex data sources, the scope of the discipline continues to expand. Its importance as the focal point of collaboration between data producers, curators and users also grows. A key factor in this transformation is that metadata is now the heart of enterprise data management, intelligence, and governance. Data modeling’s power to visualize metadata makes it essential. Visually Empowers Data modeling excels as the preferred way to design and deploy new complex data sources. The power of a data model to communicate visually empowers those who manage

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Municipal Data Governance Leads to a Brighter Future

By |2020-12-22T04:49:25-05:00October 7th, 2020|Information Governance and Management, Technology|

When it comes to innovation, government usually lags the private sector. So, when looking at data governance trends, I was surprised to find one expert who predicted that municipal data governance will show the rest of us how to improve service delivery. Indeed, the adoption of modern data governance by municipalities paves the way for a host of data-driven technologies and services. Executed properly, they have the potential to reduce risks, lower costs and improve the quality of life in U.S. cities. And with the proper motivation, it’s fair to say that local government agencies have an opportunity to lead

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Messaging Architects has been providing professional consulting services around unstructured data and information governance for over 12 years.  Our topnotch experienced project management and engineering team assists organizations to address information risk management strategies, eDiscovery processes, data security and information management policies.    Information is an organizations biggest asset but it can also be that organizations biggest risk.

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