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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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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Democratization of Data Drives Modern Business Opportunity and Success

By |2020-12-04T05:59:18-05:00November 18th, 2020|Uncategorized|

As the ability to easily access and analyze information spreads, problem-solvers find themselves more empowered to tackle business problems and identify opportunities with data. Making enterprise data available to more users in a controlled way is what the democratization of data is all about. To ensure maximum growth and efficient processes, organizations seek to make valuable data available to the right people at the right time. Hence, the democratization of data grows in popularity as more business leaders realize that in data-driven companies, data is everyone’s business. The resulting digital transformation, regardless of industry, drives increased business opportunity, relevance, and

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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 Compliance in the Cloud Happens

By |2020-11-17T05:47:47-05:00October 27th, 2020|Data Compliance|

As the current work from home paradigm motivates organizations to move all or part of their infrastructure to the cloud, data compliance in the cloud becomes a critical concern. Is our data safe from unauthorized access and disclosure in the cloud? Are we in compliance with all the government and industry regulations? Answering these questions means looking at both cloud data center compliance. More importantly, the organizational processes and controls relating to data stored in the cloud must be examined. Data Center Compliance “Who can access our data in the cloud?” is a valid question. Organizations want to be sure

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