Category: DataOps and Integration
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Why Business Leaders are Clueless about Data Integration
Is your data integration truly automated? Why business leaders investing in Big Data don’t understand data integration
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Don’t Let Your SaaS Solutions Become Tomorrow’s Data Silos in the Cloud
Data integration in the cloud and SaaS is needed to avoid new data silos
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How Artificial Intelligence Will Solve IoT’s Big Data Challenges
AI algorithms including neural networks, fuzzy control systems, and reinforcement learning will solve IoT’s Big Data opportunities and challenges
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Five Data Management Practices IT Needs to Better Support Data Driven Organizations
What data management IT practices and services are essential to establishing or scaling a big data analytics program.
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Killing Bad Data Practices – Acknowledging The Problem is Half The Battle
Data governance, training on BI tools can help organizations improve data quality
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Why is Data Sooo Messy and How to Avoid Data Landfills
Responding to janitorial data science work based on messy siloed databases, ETLs, and reports
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Friend or Foe? How Microsoft Excel 2013 Creates New Data Governance Challenges
If new tools in Excel 2013 better enable the data scientist, they may also add to new data quality challenges
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What not to do with Unstructured Big Data – and Why NoSQL
Why NoSQL solutions versus other approaches for text / unstructured Big Data
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The Database Decision that Will Hurt Your Company’s Big Data Opportunities
Consider long term strategies when deciding what database platforms to use for new analytics
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Dear CIO, Here’s How To Help the CMO with Marketing Automation
The new CIO role in helping the CMO with Marketing Automation
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Last Call for Collaborative CIOs and CMOs – Winning at Data Driven Marketing
Why data driven marketing is needed today more than ever


