DataGalaxy’s Post

Unleashing the Power of Data Quality Metrics in your D365FO Journey

Data quality impacts the success of your data analytics and business intelligence efforts. Our blog reveals the challenges that organizations face in managing daily data ingestions and transfers across systems landscapes. Read on to learn how to overcome them. https://lnkd.in/g8qVYx5K #DataIngestion #DataTransfer #DataIntegration #DataEngineering #Pipelines

Data agility is key to meeting the goals of any future-facing organisation. For an organization to achieve true data agility, it requires a data platform capable of delivering this flexibility and scalability. I explore this topic in my latest article, Why Adopting Data Agility is Crucial to the Survival of Your Business on RTInsights #datamanagement #innovation #agiletransformation https://lnkd.in/e66QEwTP

Data agility is key to meeting the goals of any future-facing organization. To achieve true data agility, it requires a data platform capable of delivering this flexibility and scalability. Check out Philip Miller's latest article, "Why Adopting Data Agility is Crucial to the Survival of Your Business", exploring this topic on RTInsights. https://bit.ly/47qfsMg #datamanagement #innovation #agiletransformation #dataplatform

Revolutionize Your Data: Implementing Data Management Best Practices

Organizations are drowning in data 🗂️ The challenge is not just collecting it, but understanding and using it efficiently. The solution? Data catalogs act as an inventory for data assets, enabling easy access and governance of large datasets. 🔑 Discover how data catalogs can streamline your data management: #datacatalog #datagovernance #datamanagement

What is Data Mapping, and Why is it Important?: Data mapping is an essential part of your organizational data flow management, and it's used in many digital initiatives that companies undertake. It's a part of your data modernization journey, […] The post What is Data Mapping, and Why is it Important? appeared first on Datafloq. #DataScince #ArtificialIntelligence #MachineLearning

Data Management 101: Turn Your Data into a Strategic Asset Drowning in data but thirsty for insights? Effective data management can be your life vest! It's more than just storage. It's about building a system that keeps your data accurate, secure, and accessible. Here are some key pillars of a good data management strategy: Data Governance: Ensures your data is high quality, used responsibly, and complies with regulations. Data Architecture: Designs a scalable infrastructure that can handle your growing data needs. Data Quality: Cleanses and prepares your data for accurate analysis. Data Integration: Combines data from different sources seamlessly. Data Warehousing: Creates a central repository for easy access and analysis. By focusing on these pillars, you can transform your raw data into valuable insights that drive better decision-making, innovation, and growth. Feeling overwhelmed? There are tons of resources available to help you get started with data management. Let us know in the comments below if you'd like some recommendations #DataManagement #DataStrategy #BusinessGrowth #DataGovernance #DataIntegration #DataQuality #DataWarehousing #AESOPSKenya

Best Data Quality Tools 2023: to unlock data excellence - Bollyinside: Data quality tools identify, understand, and correct data flaws to support information governance across operational business processes and decision ...

Realize price-performance across the ✨ entire ✨ data path. Download Enterprise Strategy Group's technical review and learn what data analytics without compromise looks like with Ocient ⤵️