Informatica’s Post

Customer-focused use cases are at the center of every enterprise. With the recent innovation in Generative AI, there is an influx of customer-centric use cases. The critical question, though, is: “Are the enterprises ready with trusted, governed, and secured customer master data that is easily discoverable, available, and accessible to users in the enterprise with the right privileges and access rights to supercharge the implementation of these customer-focused use cases”? IBM Match 360 on IBM Cloud Pak for Data can help enterprises embark on the Customer Master Data Management (MDM) journey and accelerate and augment the MDM journey. Please read my article on how to get started with modern Master Data Management implementation with IBM Match 360 on IBM Cloud Pak for Data in hybrid cloud deployment environments at https://lnkd.in/e5cRy9nF . Katie Kupec Mohammad Khatibi Soma Shekar Naganna Martin Oberhofer Abhishek Seth Abhishek Yadav Alex Baryudin Mario Godinez Jothi M. Bala Vaithyalingam Srikrishna Uppuluri

Discover the pros and cons of on-premises, cloud, and hybrid data warehouse deployment models in our recent blog post. Read now to unlock the secrets to efficient data management, BI, analytics, and AI. https://lnkd.in/g7yGZeGt #datawarehouse #datamanagement #clouddatawarehouse #deployment

Unlock the value of data with Salesforce Data Cloud Zero Copy Integration! Seamlessly integrate Salesforce data with Snowflake for real-time analytics and better business outcomes. Learn more: https://lnkd.in/dBHkDCg8 #Salesforce #DataCloud #Snowflake #DataAnalytics

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🚀 Tealium & Snowflake: Unlocking the Power of Real-Time Customer Data 🚀 Organizations are increasingly centralizing their data storage on cloud infrastructure to maximize the potential of their customer data. At Tealium, we’ve been leading this movement with data warehouse integrations for over 7 years, and we’re thrilled to announce our new Snowflake integrations! Our partnership with Snowflake allows for real-time data capture, historical analysis, and immediate activation—all in one unified platform. 🌐 This means you can: - Combine historical insights with real-time customer interactions - Activate customer data faster across AI, BI, and CX ecosystems - Deliver personalized customer experiences at scale, with full consent management 💡 What’s new? - Snowpipe Streaming API Integration: Low-latency data delivery, automated governance, and faster insights. - Snowflake Data Source Integration: Seamless ingestion of enriched data for real-time customer actions. Together, Tealium + Snowflake enable businesses to gain a holistic understanding of customers and deliver impactful experiences in the moment. #Tealium #Snowflake #CDP #DataWarehouse #CustomerExperience #RealTimeData #AI #Analytics #CloudData

Video: Demystifying Data Cloud & MythBusters Make sure you check out the amazing video on Data Cloud. Thanks to the presenters and Kid Jansen for sharing with me. Make sure you watch the video yourself, but a few of my highlights. https://lnkd.in/dnwRa6us 1. Business Discovery is Crucial:   - Begin implementation by understanding business capabilities and requirements.   - Compare solutions and their strength and weaknessesfor informed decision-making. 2. Stakeholder Management:   - Prioritize requirements and identify a top stakeholder to guide the project.   - Create a detailed blueprint and focus on achievable initial goals. 3. Data Preparation and Security:   - Clean and understand data before migration ("garbage in, garbage out").   - Identify data owners and consider data security and privacy issues. 4. Understanding the Data Model:   - Ensure proper data arrangement within Salesforce Data Cloud.   - Make data AI-ready and establish a feedback loop for ongoing adjustments. 5. Pricing Model:   - Salesforce is moving towards a consumption-based pricing model.   - Understand key processes and their costs to manage expenses effectively. 6. Data Ingestion and Real-Time Personalization:   - Methods include Azure Blob Storage, SFTP, and streaming for real-time data.   - Utilize real-time data graphs for quick data processing and personalization. 7. Generative AI and Unstructured Data:   - Use Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) for processing unstructured data.   - Ground AI models with relevant data to improve accuracy and reduce errors. 8. Upcoming Features and Enhancements:   - Lot's of new features are coming like unstructured data Lake objects, and advanced semantic search   - Enhancements for handling unstructured data sources are being developed. 9. Implementation and Configuration:   - Plan the architecture, data sources, primary keys, and relationships thoroughly.   - Understand that Data Cloud functions as a system of reference, not a system of record. 10. Unified Profile vs. MDM:   - A unified profile can link various data records without merging them.   - Evaluate if Master Data Management (MDM) or Data Cloud is more suitable for specific use cases. By focusing on these key learnings, organizations can effectively implement and utilize Salesforce Data Cloud to enhance their data management and AI capabilities.

Join to discuss how AI-fueled analytics, embedded in Oracle Cloud, are changing the future of data intelligence. Understand how other Cloud Application customers are maximizing value. Learn how to enable AI to improve your business processes. Explore analytics use cases in finance, supply chain, CX, and HR. See the benefits of unifying analytics across departments. Discover how pre-built cloud analytics and embedded AI boost performance and reduce costs.

This is good read (part 1), for any organisation with industrial data transformation meeds.

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Embracing the cloud and cutting-edge technologies, Pretectum CMDM demonstrates agility in the face of the evolving customer master data management landscape. By incorporating data quality and enrichment features, Pretectum empowers organizations to make informed decisions and deliver exceptional customer experiences. #LoyaltyIsUpForGrabs