Remove Consulting Remove Predictive Analytics Remove Predictive Modeling
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External Data Supports More Accurate Planning

David Menninger's Analyst Perspectives

So, it is essential to incorporate external data in forecasting, planning and budgeting, especially for predictive analytics and machine learning to support artificial intelligence. It is also essential for the effective application of AI using ML for business-focused planning and budgeting and predictive analytics.

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3 Things Citizen Data Scientists Need in Predictive Analytics!

Smarten

When combined with Citizen Data Scientist initiatives, the adoption and use of predictive modeling and forecasting techniques can be a boon to any enterprise. Team members who have access to augmented analytics and assisted predictive modeling can plan better, predict more accurately and dependably meet goals and objectives.

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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

Even basic predictive modeling can be done with lightweight machine learning in Python or R. We already have excellent tools for these tasks. Tableau, Qlik and Power BI can handle interactive dashboards and visualizations. SQL can crunch numbers and identify top-selling products. In retail, basic database queries can track inventory.

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Predictive Analytics Use Case: Online Target Marketing!

Smarten

Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives. Predictive analytics will help you optimize your marketing budget and improve brand loyalty. Predictive Analytics Using External Data.

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Predictive Analytics Use Case: Quality Control!

Smarten

Using advanced analytics to identify quality issues will improve production processes, protect the business against liability claims and allow the organization to more easily upgrade products, create new products and services and anticipate issues along the way. Predictive Analytics Using External Data. Customer Targeting.

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Using generative AI to accelerate product innovation

IBM Big Data Hub

Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. For example, if a customer undergoes a major business change such as an acquisition, predictive models trained on previous transactions can analyze the potential need for new products.

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Embedded BI Can Encourage Data Literacy!

Smarten

Technology research and consulting firm, Gartner, predicts that, ‘By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’. Benefits of Embedded BI.