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#datastrategy — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #datastrategy, aggregated by home.social.

  1. FYI: Publicis buys LiveRamp for $2.5 billion in agentic AI data play: Publicis Groupe today agreed to buy LiveRamp in an all-cash $2.5 billion deal, paying a 30% premium to fold data collaboration into its agentic AI strategy. ppc.land/publicis-buys-liveram #Publicis #LiveRamp #AIdata #DataStrategy #DigitalMarketing

  2. FYI: Publicis buys LiveRamp for $2.5 billion in agentic AI data play: Publicis Groupe today agreed to buy LiveRamp in an all-cash $2.5 billion deal, paying a 30% premium to fold data collaboration into its agentic AI strategy. ppc.land/publicis-buys-liveram #Publicis #LiveRamp #AIdata #DataStrategy #DigitalMarketing

  3. FYI: Publicis buys LiveRamp for $2.5 billion in agentic AI data play: Publicis Groupe today agreed to buy LiveRamp in an all-cash $2.5 billion deal, paying a 30% premium to fold data collaboration into its agentic AI strategy. ppc.land/publicis-buys-liveram #Publicis #LiveRamp #AIdata #DataStrategy #DigitalMarketing

  4. FYI: Publicis buys LiveRamp for $2.5 billion in agentic AI data play: Publicis Groupe today agreed to buy LiveRamp in an all-cash $2.5 billion deal, paying a 30% premium to fold data collaboration into its agentic AI strategy. ppc.land/publicis-buys-liveram #Publicis #LiveRamp #AIdata #DataStrategy #DigitalMarketing

  5. Web Scraping vs In-House Data Collection, Which delivers better ROI?

    While in-house data collection offers control, web scraping wins on speed, scalability, and cost-efficiency.

    ✅ Faster market insights
    ✅ Lower operational costs
    ✅ Real-time competitive intelligence
    ✅ Scalable data acquisition

    Learn More: webscreenscraping.com/web-scra

    #WebScraping #DataCollection #BusinessIntelligence #DataStrategy #AI #BigData

  6. Web Scraping vs In-House Data Collection, Which delivers better ROI?

    While in-house data collection offers control, web scraping wins on speed, scalability, and cost-efficiency.

    ✅ Faster market insights
    ✅ Lower operational costs
    ✅ Real-time competitive intelligence
    ✅ Scalable data acquisition

    Learn More: webscreenscraping.com/web-scra

    #WebScraping #DataCollection #BusinessIntelligence #DataStrategy #AI #BigData

  7. Web Scraping vs In-House Data Collection, Which delivers better ROI?

    While in-house data collection offers control, web scraping wins on speed, scalability, and cost-efficiency.

    ✅ Faster market insights
    ✅ Lower operational costs
    ✅ Real-time competitive intelligence
    ✅ Scalable data acquisition

    Learn More: webscreenscraping.com/web-scra

    #WebScraping #DataCollection #BusinessIntelligence #DataStrategy #AI #BigData

  8. Web Scraping vs In-House Data Collection, Which delivers better ROI?

    While in-house data collection offers control, web scraping wins on speed, scalability, and cost-efficiency.

    ✅ Faster market insights
    ✅ Lower operational costs
    ✅ Real-time competitive intelligence
    ✅ Scalable data acquisition

    Learn More: webscreenscraping.com/web-scra

    #WebScraping #DataCollection #BusinessIntelligence #DataStrategy #AI #BigData

  9. Web Scraping vs In-House Data Collection, Which delivers better ROI?

    While in-house data collection offers control, web scraping wins on speed, scalability, and cost-efficiency.

    ✅ Faster market insights
    ✅ Lower operational costs
    ✅ Real-time competitive intelligence
    ✅ Scalable data acquisition

    Learn More: webscreenscraping.com/web-scra

    #WebScraping #DataCollection #BusinessIntelligence #DataStrategy #AI #BigData

  10. CRE portfolio owners are missing critical insights. Siloed vendor data prevents cross-asset analysis, costing millions in inefficient decisions. Portfolio-level intelligence requires owner-controlled data infrastructure. #RealEstate #DataStrategy

  11. CRE portfolio owners are missing critical insights. Siloed vendor data prevents cross-asset analysis, costing millions in inefficient decisions. Portfolio-level intelligence requires owner-controlled data infrastructure. #RealEstate #DataStrategy

  12. CRE portfolio owners are missing critical insights. Siloed vendor data prevents cross-asset analysis, costing millions in inefficient decisions. Portfolio-level intelligence requires owner-controlled data infrastructure. #RealEstate #DataStrategy

  13. CRE asset managers are leaving millions on the table. Building data exists but sits locked in vendor systems. A practical audit identifies quick wins—one client saved $70K/year by activating existing systems. #RealEstate #DataStrategy

  14. CRE asset managers are leaving millions on the table. Building data exists but sits locked in vendor systems. A practical audit identifies quick wins—one client saved $70K/year by activating existing systems. #RealEstate #DataStrategy

  15. CRE asset managers are leaving millions on the table. Building data exists but sits locked in vendor systems. A practical audit identifies quick wins—one client saved $70K/year by activating existing systems. #RealEstate #DataStrategy

  16. Companies invest in Data Mesh, data products, and self-service platforms. The architecture looks right, the tooling is in place, the platform goes live.

    And then nothing changes.

    In his new article, Stefan Negele looks at why this happens more often than it should, and what's usually missing when a data initiative stalls.

    📖 Read the article: innoq.com/en/articles/2026/05/

    #DataLiteracy #DataMesh #DataStrategy

  17. Companies invest in Data Mesh, data products, and self-service platforms. The architecture looks right, the tooling is in place, the platform goes live.

    And then nothing changes.

    In his new article, Stefan Negele looks at why this happens more often than it should, and what's usually missing when a data initiative stalls.

    📖 Read the article: innoq.com/en/articles/2026/05/

    #DataLiteracy #DataMesh #DataStrategy

  18. Companies invest in Data Mesh, data products, and self-service platforms. The architecture looks right, the tooling is in place, the platform goes live.

    And then nothing changes.

    In his new article, Stefan Negele looks at why this happens more often than it should, and what's usually missing when a data initiative stalls.

    📖 Read the article: innoq.com/en/articles/2026/05/

    #DataLiteracy #DataMesh #DataStrategy

  19. Companies invest in Data Mesh, data products, and self-service platforms. The architecture looks right, the tooling is in place, the platform goes live.

    And then nothing changes.

    In his new article, Stefan Negele looks at why this happens more often than it should, and what's usually missing when a data initiative stalls.

    📖 Read the article: innoq.com/en/articles/2026/05/

    #DataLiteracy #DataMesh #DataStrategy

  20. Companies invest in Data Mesh, data products, and self-service platforms. The architecture looks right, the tooling is in place, the platform goes live.

    And then nothing changes.

    In his new article, Stefan Negele looks at why this happens more often than it should, and what's usually missing when a data initiative stalls.

    📖 Read the article: innoq.com/en/articles/2026/05/

    #DataLiteracy #DataMesh #DataStrategy

  21. Missed our last Lunch & Learn? Watch the recording: how to use AI as a catalyst to build your Data & AI strategy faster—plus a live look at Miro AI Flows & Sidekicks for better co-creation. 📺 youtu.be/2fRii0dXFqI #AI #DataStrategy #MiroAI #WorkshopFacilitation
    datentreiber.com/blog/turbocha

  22. Missed our last Lunch & Learn? Watch the recording: how to use AI as a catalyst to build your Data & AI strategy faster—plus a live look at Miro AI Flows & Sidekicks for better co-creation. 📺 youtu.be/2fRii0dXFqI #AI #DataStrategy #MiroAI #WorkshopFacilitation
    datentreiber.com/blog/turbocha

  23. Missed our last Lunch & Learn? Watch the recording: how to use AI as a catalyst to build your Data & AI strategy faster—plus a live look at Miro AI Flows & Sidekicks for better co-creation. 📺 youtu.be/2fRii0dXFqI #AI #DataStrategy #MiroAI #WorkshopFacilitation
    datentreiber.com/blog/turbocha

  24. Missed our last Lunch & Learn? Watch the recording: how to use AI as a catalyst to build your Data & AI strategy faster—plus a live look at Miro AI Flows & Sidekicks for better co-creation. 📺 youtu.be/2fRii0dXFqI #AI #DataStrategy #MiroAI #WorkshopFacilitation
    datentreiber.com/blog/turbocha

  25. Missed our last Lunch & Learn? Watch the recording: how to use AI as a catalyst to build your Data & AI strategy faster—plus a live look at Miro AI Flows & Sidekicks for better co-creation. 📺 youtu.be/2fRii0dXFqI #AI #DataStrategy #MiroAI #WorkshopFacilitation
    datentreiber.com/blog/turbocha

  26. Du kannst die beste Datenplattform der Welt bauen.

    Wenn sich dein Unternehmen nicht darauf einigen kann, was „Umsatz“ bedeutet, bringt sie dir nichts.

    Genau darüber sprechen wir im neuen ChaosHacker-Talk:
    Warum Datenprojekte selten an Technik scheitern - sondern an fehlendem gemeinsamen Verständnis.

    #DataStrategy #DataGovernance #DigitalTransformation
    youtu.be/rMvqUZ1M6YE

  27. 'Data fabric' is the latest silver bullet, but you can’t patch together a reliable strategy with empty promises. If oversight and stewardship are optional, your governance is already fraying at the edges.

    Read more 👉 lttr.ai/AqORA

    #MicrosoftFabricGovernance #HiddenRisks #DataStrategy

  28. Join us for our upcoming Lunch & Learn on 23.04 at 18:00 to turbocharge your AI & Data Strategy! Discover how to use AI as a catalyst in your strategic design process with the Datentreiber Method and Miro AI. Learn to achieve lean and agile solutions without months of lead time. Register here: luma.com/mp96qh1j #AI #DataStrategy #MiroAI #DatentreiberMethod
    community.datentreiber.com/202

  29. Join us for our upcoming Lunch & Learn on 23.04 at 18:00 to turbocharge your AI & Data Strategy! Discover how to use AI as a catalyst in your strategic design process with the Datentreiber Method and Miro AI. Learn to achieve lean and agile solutions without months of lead time. Register here: luma.com/mp96qh1j #AI #DataStrategy #MiroAI #DatentreiberMethod
    community.datentreiber.com/202

  30. Join us for our upcoming Lunch & Learn on 23.04 at 18:00 to turbocharge your AI & Data Strategy! Discover how to use AI as a catalyst in your strategic design process with the Datentreiber Method and Miro AI. Learn to achieve lean and agile solutions without months of lead time. Register here: luma.com/mp96qh1j #AI #DataStrategy #MiroAI #DatentreiberMethod
    community.datentreiber.com/202

  31. Join us for our upcoming Lunch & Learn on 23.04 at 18:00 to turbocharge your AI & Data Strategy! Discover how to use AI as a catalyst in your strategic design process with the Datentreiber Method and Miro AI. Learn to achieve lean and agile solutions without months of lead time. Register here: luma.com/mp96qh1j #AI #DataStrategy #MiroAI #DatentreiberMethod
    community.datentreiber.com/202

  32. Join us for our upcoming Lunch & Learn on 23.04 at 18:00 to turbocharge your AI & Data Strategy! Discover how to use AI as a catalyst in your strategic design process with the Datentreiber Method and Miro AI. Learn to achieve lean and agile solutions without months of lead time. Register here: luma.com/mp96qh1j #AI #DataStrategy #MiroAI #DatentreiberMethod
    community.datentreiber.com/202

  33. Managing massive scientific data sets is tricky. This Nature piece explains how to store smartly and extract maximum value without drowning in data.

    🔗 nature.com/articles/d41586-026

    #BigData #DataManagement #ScienceTools #ResearchData #DataStrategy #MetaData

  34. Managing massive scientific data sets is tricky. This Nature piece explains how to store smartly and extract maximum value without drowning in data.

    🔗 nature.com/articles/d41586-026

    #BigData #DataManagement #ScienceTools #ResearchData #DataStrategy #MetaData