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Machine Learning

The Six Steps of Creating a Machine Learning Model in Knowi

Creating a Classification Model for Breast Cancer Screening The UCI Machine Learning Repository contains many full data sets that can be used to test and train machine learning models. One such example is the Breast Cancer Wisconsin (Diagnostic) Data Set which relates whether breast cancer is benign or malignant to 10 specific aspects of the …

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Knowi Predictive Analytics brings machine learning

Add Predictive Analytics on Your Dataset in 3 Steps

Knowi Predictive Analytics brings machine learning capabilities to every Data Engineer. Integrate machine learning into your analytics workflows and drive data directed actions. The platform provides two options: Out-of-the-box predictive analytics capabilities that test a dataset against a variety of forecasting models to determine the model best suited to the data,  with the least Sum …

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Boku

How Boku Successfully Transitioned to a Data-Driven Enterprise Using Knowi

We had a chance to sit down with our friends at Boku recently and talk about how they are using Knowi to provide business analytics across all their teams, including product, accounts, and business development, and have recently extended their analytics as value-added product offerings to their partners and customers. If you are not familiar …

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Data Silos

Will Cockroaches and Data Silos Be the Only Things Left? Part II

Data Services is the Answer!  Yes, but… In our last post, we talked about using a data warehouse strategy as one of the ways to break down data silos across multiple departments and systems.  Building a data warehouse is a traditional way to tackle the data silo problem. However, successful projects take serious organizational commitment …

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Business Driven Analytics

7 Requirements to Deliver Business-Driven Analytics in the Modern Data Age

The journey to modern data has been fast and furious. Within a just a few decades, we have gone from retrospective analytics on operational data located within your four walls to prescriptive analytics using real-time multi-sourced data and everything in between.  While data, data storage, and data processing technologies have advanced, I would argue that …

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Trends

How Three 2019 Analytics Trends Change the Status Quo

Originally posted on medium.com Demands of the Digital Enterprise Force Rapid Innovation Towards Augmented Analytics Before we dive in, let me overlay this discussion with the main business trend that is behind some of these technology trends. Digital Transformation. “Digital transformation marks a radical rethinking of how an organization uses technology, people and processes to …

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4 Reasons Why Your BI Tool Is Preventing You from Becoming Data-Driven

Becoming data-driven company-wide, where data is integrated into the decision-making process all levels of the organization because employees, partners, and customers can access the right data at the right time, is often the ultimate goal when implementing an analytics solution.  There are dozens of BI tools, from Tableau to Qlik to more modern tools like …

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