Data Technology


How Machine Learning Is Transforming Data Analytics Workflows

Discover how machine learning is transforming data analytics workflows, improving efficiency, scalability, and real-time decision-making for businesses.
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AI, Copyrights, and the Future of Data Entry Services Outsourced to India

Discover how India remains a global leader in IT outsourcing, AI adoption, and back-office services. Learn about legal aspects, outsourcing models, and why businesses still prefer India! 🚀
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The Intersection of AI and Business Analytics: Key Concepts to Master in Your Business Analytics Course

Master the essential concepts at the intersection of AI and business analytics to drive smarter, data-driven decisions and excel in today's competitive landscape
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Overview of Knowledge Management Models and Their Applications in the Manufacturing Industry

How Do Leading Manufacturers Turn Knowledge into Power? Explore proven knowledge management models like Wiig, Choo, and Meyer & Zack to uncover how smart organizations capture, share, and apply knowledge to fuel innovation, efficiency, and sustainable growth.
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Difference between Power BI and Datazen

Datazen has a richer set of visualizations, drill downs and is, in general, a more mature product than Power BI in a number of ways.
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Data-driven ways to build a customer-centric culture

3 actions to get started becoming a client-centric company.
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What is the Data, Information, Knowledge, Wisdom (DIKW) Pyramid?

The DIKW Pyramid represents the relationships between data, information, knowledge and wisdom. Each building block is a step towards a higher level - first comes data, then is information, next is knowledge and finally comes wisdom. Each step answers different questions about the initial data and adds value to it. The more we enrich our data with meaning and context, the more knowledge and insights we get out of it so we can take better, informed and data-based decisions.
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What is predictive analytics? Why it matters?

Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events
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What is a Multi-Model Database? Pros and Cons?

Multi-model database management systems unify multiple database systems into one. Instead of working with numerous models and finding ways to incorporate them together, multi-model databases provide a singular engine for various database types.
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What is a Data Freeze? Why Freeze Data?

Data Freeze means a dataset obtained at a specified timepoint that contains data ready and amenable to analyses.
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