How to Develop a Strategy to Manage Legacy Data and Improve Data Value

By |2024-05-22T20:55:59-04:00May 22nd, 2024|article, Blog Archive, Information Governance and Management|

Every organization holds legacy data trapped in obsolete formats or systems. This introduces compatibility issues and security concerns. However, regulatory requirements often mandate retention of legacy data, and much of the information may still carry value. Data teams must develop a strategy to manage legacy data and thus keep it secure, compliant, and accessible. Trapped in obsolete formats and archaic systems, legacy data presents a multifaceted challenge. Important information may become inaccessible, resulting in knowledge gaps and reduced efficiency. Also, maintaining legacy data can prove difficult and costly. Finally, lack of visibility and proper security opens the door for data

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5 Important Ways GDPR-compliant Software Helps US Businesses

By |2024-04-22T16:09:45-04:00April 17th, 2024|article, Blog Archive, Data Compliance|

For the average US company, GDPR may seem half a world away and irrelevant. However, this “shot heard round the world” introduced an era of data privacy with far-reaching implications. Whether or not your business targets European Union (EU) residents, GDPR-compliant software helps US businesses in several unexpected ways. GDPR-compliant software addresses key areas that include the following: Data protection principles – Software solutions should have a specific purpose for the data they collect. They should collect only necessary data and use the data solely for the stated purpose, removing it when no longer needed. User rights – The software

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Enhance Success with a Data-Driven Business Strategy

By |2023-03-28T09:58:23-04:00March 22nd, 2023|Information Governance and Management, Microsoft 365|

While business leaders agree in theory about the importance of data, many have yet to unlock its potential. Implementing a data-driven business strategy involves combining specific business goals with effective data governance, shifts in company culture and appropriate technology. Roadblocks on the Path to a Data-Driven Business Strategy Despite having more data at our fingertips than ever before, many organizations struggle to uncover the value of their data. In fact, the sheer amount of data available can inhibit a company’s ability to generate useful insights. For example, a typical business may gather data from website traffic, customer support tickets, loyalty

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5 Best Practices to Increase Productivity with Data

By |2021-04-19T06:33:36-04:00March 2nd, 2021|Information Governance and Management|

Productive companies compete more effectively in the marketplace. They also generally report increased profitability, improved employee engagement, happier customers, and opportunities for growth. Knowing best practices to measure and increase productivity with data will help your business thrive. Traditional methods of measuring productivity can prove misleading. For instance, an employee may look busy, work many hours, or even generate large numbers of finished products. But inefficiently used time and low-quality work actually reduce productivity. When businesses gather the right data and analyze it effectively, they can identify top performers as well obstacles that stand in the way of productivity. Armed

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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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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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