#data-fragmentation

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Marketing tech
fromExchangewire
2 days ago

Locala Launches 'Omni Planner' to Help Marketers Navigate the 'Phygital' Maze - ExchangeWire.com

Omni Planner enables unified, precise omnichannel planning to bridge fragmented data, attribution gaps, and siloed activation for channel-less consumer journeys.
fromMarTech
1 month ago

5 marketing maturity levels: From siloed to autonomous | MarTech

Martech debt builds up through manual reporting, fragile integrations, and silos. These issues fragment customer data, break campaign attribution, and force teams to rely on shadow spreadsheets to fill gaps between platforms. Current maturity models focus on technology adoption (hello AI!) rather than business outcomes. This misses the structural shift required to escape this cycle.​ Semrush Enterprise evaluates maturity across five interconnected pillars: Progress means moving from patchwork operations to a unified engine where insight, execution, and impact connect and scale together for strategic effect.
Marketing tech
Artificial intelligence
fromFortune
2 months ago

I'm the founder of a $4 billion software unicorn and I see data wars coming. Enterprise AI beware | Fortune

Salesforce's new Slack data limits restrict enterprise access to real-time communication context, fragmenting data and undermining AI-driven productivity and unified workflows.
Data science
fromSocial Media Explorer
2 months ago

The Social Power of Extracting Insights from Data Warehouse - Social Media Explorer

Centralizing healthcare data in a data warehouse reduces fragmentation and privacy risk while enabling trusted analytics that improve patient outcomes.
E-Commerce
fromDigiday
3 months ago

The case for connecting the dots in CTV advertising

Connected TV's explosive growth offers advertisers a chance to reach engaged audiences but presents challenges due to fragmentation and data issues.
Artificial intelligence
fromTheregister
5 months ago

Kaseya CEO: Why AI adoption is below industry expectations

Generative AI adoption is slow in enterprise due to fragmentation of data and tool inefficiencies.
Connected data is essential for effective AI deployment in businesses.
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