High-quality data can produce powerful insights that enhance decision-making. For data-driven organizations, this leads to successful marketing, improved operational efficiency, and easier management of compliance issues. However, unlocking the full potential of high-quality data requires effective Data Management practices. That’s why a robust data lineage strategy is essential – it helps increase information utility and maximize data […]
Data Ethics: Safeguarding Privacy and Ensuring Responsible Data Practices
The importance of data ethics cannot be emphasized enough in the digital era. With so much data being created, processed, and stored, people and businesses must prioritize privacy and maintain appropriate data practices. Data collection, storage, and use raise ethical concerns that must be addressed to preserve individuals’ rights and sustain public confidence. Below, we […]
Data Governance Best Practices for Your Business
Data Governance is a strategic approach to managing, protecting, and using a firm’s data assets. It encompasses processes, policies, strategies, and tools that govern how a firm collects, stores, accesses, and leverages data. With Data Governance best practices, a firm can ensure data integrity, mitigate associated risks and challenges, and improve Data Quality. This can […]
AI Regulation Must Focus on Building Public Trust
Mere months after generative AI captured the world’s attention, leaders like OpenAI’s Sam Altman and Google’s Sundar Pichai testified before Congress with a simple message: Prioritize AI regulation before the technology gets out of hand. The message surprised many – especially coming from the leaders who unveiled the revolutionary tools themselves – but it has become […]
Navigating the Risks of LLM AI Tools for Data Governance
The sudden advent of large language model (LLM) AI tools, such as ChatGPT, Duet AI for Google Cloud, and Microsoft 365 Copilot, is opening new frontiers in AI-generated content and solutions. But the widespread harnessing of these tools will also soon create an epic flood of content based on unstructured data – representing an unprecedented […]
Data Mesh: A Pit Stop on the Road to a Data-Centric Culture
The noble effort to build a “data-centric” culture is really a journey, not a destination. With that perspective, we can understand that no matter how good a given environment seems to be –especially compared to whatever existed before – there’s always room for enhancement. As more technologies, strategies, and disciplines emerge, the ongoing evolution ensures constant improvement. […]
Data Governance: The Oft-Overlooked Pillar of Strong Data Quality
What are the most common causes of Data Quality issues? The conventional answer to that question includes problems like inaccurate data, duplicate data, or data containing missing values. These are the sorts of issues that organizations tend to focus on when they want to improve the quality of their data so that they can leverage […]
Leveraging Data Pipelines to Meet the Needs of the Business: Why the Speed of Data Matters
Gone are the days when customers would place an order and patiently wait for hours or even days for goods to be delivered, or when letters would travel through snail mail to reach their recipients. Today, businesses and individuals expect instant access to information and swift delivery of services. The same expectation applies to data, […]
Logical Data Management for Environmental, Social, and Governance (ESG) Initiatives
Driven in large part by a growing awareness of the effects of unchecked carbon emissions, environmental, social, and governance (ESG) initiatives have been gaining momentum across companies in Europe and, more recently, the U.S. Some verticals, notably financial services, are beginning to tie ESG information directly to investment decisions, while all companies are realizing that […]
3 Reasons Manufacturers Must Get Data Governance Right in 2023
In the manufacturing space, digital transformation has made data the oil in many machines – and much like oil, it needs refinement and enrichment. This can be carried out via Data Governance. Good Data Governance translates to smarter, quicker, data-driven decisions, as well as more efficient resource management, reduced security risks, greater trust from customers […]