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WEBCAST: Analytics Through the Lens of Conversational AI

bridgei2i

Enterprises can drive next-level transformational outcomes using intelligent chatbots that integrate with their data warehouses and dashboards, to provide actionable, easy to consume insights. Technologies like Natural Language Processing (NLP) are making analytics insights easier to consume through conversational AI.

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The top 15 big data and data analytics certifications

CIO Business Intelligence

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. Candidates have 90 minutes to complete the exam.

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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. This may involve integrating different technologies, like cloud sources, on-premise databases, data warehouses and even spreadsheets. Add the predictive logic to the data model.

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Understanding BI Tools in Today’s Market

Smarten

You may be interested to know that TechJury reports seven out of ten businesses rate data discovery as very important, and that the top three business intelligence trends are data visualization, data quality management and self-service business intelligence. And that is exactly what is happening!

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. 2) Designing Data-Intensive Applications by Martin Kleppman.

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3 Ways Embedded Analytics Boosts Data Literacy

Jet Global

Differentiate your application with an embedded analytics solution that supports your customers’ drive for data insights and squeeze more value from your existing technology investments. Here are three key data-literacy-boosting features to look out for: 1.

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A Beginner’s Guide to Embedded Analytics and BI

Jet Global

As analytics technology evolves, so do user needs and expectations. Many customers approach us hoping to boost their application’s analytics capabilities, which are often struggling to meet user demand. Insufficient functionality and dashboards – ISVs face demands from their users to uplevel their reporting (e.g.,