5 Data Quality Best Practices
Key Takeaways By deploying technologies that can learn and improve over time, companies that embrace AI and machine learning can achieve significantly better results from their data quality initiatives. Data enrichment adds context to existing information, enabling business leaders to draw valuable new insights that would otherwise not have been possible. Companies should implement a […]
How to Power Successful AI Projects with Trusted Data
Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. A structured, business-first approach to AI is essential. Start with clear business use cases and ensure collaboration between business and IT teams for the greatest impact. Building data literacy across your organization empowers […]
AI Success – Powered by Data Governance and Quality
Key Takeaways: Data integrity is essential for AI success and reliability – helping you prevent harmful biases and inaccuracies in AI models. Robust data governance for AI ensures data privacy, compliance, and ethical AI use. Proactive data quality measures are critical, especially in AI applications. Using AI systems to analyze and improve data quality both […]
5 Key Benefits of Data Democratization: How Self-Service Data Can Improve Your Business
Key Takeaways: Data democratization is a process that gives virtually anyone in your organization the ability to understand data for better decision-making. Data democratization has immense benefits, like a 360° customer view, enhanced innovation, and streamlined internal processes. To fully take advantage of these benefits, you also need to keep compliance, security, and potential data […]
Best Practices for Effective Data Retention: A How to Guide
How compliant is your organization with the GDPR (General Data Protection Regulation) requirements that keep personal data only as long as needed for the purpose it was collected? How easily could you prove your compliance if audited? GDPR states that personal data must not be kept longer than the purpose for which it was collected and […]
Gain an AI Advantage with Data Governance and Quality
Key Takeaways Data quality ensures your data is accurate, complete, reliable, and up to date – powering AI conclusions that reduce costs and increase revenue and compliance. Data observability continuously monitors data pipelines and alerts you to errors and anomalies. Then, you can correct them before they’re introduced into an AI system. Data governance ensures […]
Top 5 Data Mining Techniques
Each of the following data mining techniques cater to a different business problem and provides a different insight. Knowing the type of business problem that you’re trying to solve will determine the type of data mining technique that will yield the best results. In today’s digital world, we are surrounded with big data that is […]
Data Governance in the AI Era: A Conversation with Data Governance Coach Nicola Askham
Key Takeaways: Data governance has transitioned from a regulatory necessity to a strategic asset that enhances innovation. Robust data governance supports AI applications, ensuring data is AI-ready, and facilitating sound AI governance practices. You need data integrity – accurate, consistent, and contextualized data – to build trust in AI applications and improve overall decision-making processes. […]
From the Boots of a Former CDO
Jean-Paul Otte recently joined Precisely as Head of Data Strategy Services for Europe. His specialty? Data! Jean-Paul sat down for an interview where we discussed his background as a former CDO, the challenges he faced, and how he developed his unique perspective and data governance expertise. Hello Jean-Paul, could you tell us a little about […]
Trust Your Data: Building a Culture of Data Integrity
Data professionals typically regard their area of expertise as fitting squarely within the domain of hard science. After all, it’s centered around knowable facts. Even subjective information, such as customer satisfaction metrics, is ultimately rooted in a fact-based understanding of quantifiable human reactions to a product or service. It should presumably be relatively easy to […]
Solving Complex Telecom Challenges with Data Governance and Location Analytics
The competition for subscribers is fierce. Telcos constantly seek innovative new ways to gain market share, increase efficiency, improve service, and optimize network investments. For instance, telcos are early adopters of location intelligence – spatial analytics has been helping telecommunications firms by adding rich location-based context to their existing data sets for years. You need […]
The Role of Technology in Making Data-Driven Strategic Decisions
As organizations scramble to tap into the immense value of all the data available to them, they also struggle with a growing set of challenges in order to make data-driven decisions using data governance. In today’s digital economy, data-driven decisions are rapidly becoming the norm. According to a 2023 survey by Drexel University’s LeBow College of […]