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The Impact Matrix | A Digital Analytics Strategic Framework

Occam's Razor

The universe of digital analytics is massive and can seem as complex as the cosmic universe. Even simple questions like “ How effective is our analytics strategy? Soon, your digital analytics strategic framework that you hoped would provide a true north to the analytics strategy question looks like this ….

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What you need to know about product management for AI

O'Reilly on Data

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. If you are still figuring out your analytics strategy, you are fighting the last war.

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Digital transformation’s fundamental change management mistake

CIO Business Intelligence

Over the past decade, CIOs have invested significantly in digital transformation initiatives in an effort to improve customer experiences, build data analytics capabilities, and deliver productivity enhancements with automation. This dip delays when the business can start realizing the value delivered.

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What is a DataOps Engineer?

DataKitchen

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. That’s the state of data analytics today. . Where are the data engineers, scientists and analytics? DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. Low error rates.

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6 DataOps Best Practices to Increase Your Data Analytics Output AND Your Data Quality

Octopai

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. Continuous DataOps metrics testing checks data’s validity, completeness and integrity at input and output.

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Apply Modern CRM Dashboards & Reports Into Your Business – Examples & Templates

datapine

With a powerful dashboard maker , each point of your customer relations can be optimized to maximize your performance while bringing various additional benefits to the picture. Your Chance: Want to build professional CRM reports & dashboards? Your Chance: Want to build professional CRM reports & dashboards?

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Next Stop – Predicting on Data with Cloudera Machine Learning

Cloudera

And this blog will focus on Predictive Analytics. Reporting – data warehousing & dashboarding. Predictive Analytics – AI & machine learning. Since our goal is to optimize part production we’ve chosen the Gradient Boost Regression model that has shown best metrics (accuracy and AOC) for our particular ECC dataset.