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Data Prep & Automated ML: Better Predictions For Consensus

Financed smartphones are a magnet for identity theft, leaving retailers in the digital and telecommunication industry vulnerable to fraud. Consensus, a Target-owned subsidiary, has developed a highly accurate solution to identify fraud at the point-of-sale before it happens. In this latest Data Science Central webinar, you will learn how Consensus put together agile processes on…

  • Trifacta David McNamara, Consensus Harrison Lynch & DataRobot Rajiv Shah

Clean Data & Accurate Machine Learning Models

Predictive analytics can provide your organization with data insights and differentiation to rise above the competition. However, Machine learning (ML) outcomes are only as good as the data they are built upon. Getting the data ready for accurate modeling is time consuming, cumbersome, and a waste of data professionals’ skills to be polishing the materials…

  • AWS Kris Skrinak & Trifacta Vijay Balasubramaniam

Data Prep For Data Ops: How To Select & Deploy

In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process,…

  • Forrester Cinny Little & Trifacta Will Davis

Transform a Data Swamp into a Data Lake with Enterprise Data Management Strategies

Clean data is crucial for deriving insight from data and powering applications like Predictive Analytics, Business Intelligence, Machine Learning and Artificial Intelligence. “Research shows that 40% of the anticipated value of all business initiatives is never achieved. Poor data quality in both the planning and execution phases of these initiatives is a primary cause,” according…

  • Caserta Alex Lovell-Troy & Trifacta Vijay Balasubramaniam

How to Structure a Modern DataOps Team

Over the past few years, the evolution of technology for storing, processing and analyzing data has been absolutely staggering. Businesses now have the ability to work with data at a scale and speed that many of us would have never thought was possible. Yet, why are so many organizations still struggling to drive meaningful ROI…

  • Forrester Michele Goetz & Trifacta Will Davis

Building Actionable Machine Learning Models Using Trifacta, DataRobot, and Tableau

From preparing data for machine learning to putting models to work and visualizing insights, delivering ROI from analytical projects used to take months. Self-service data preparation from Trifacta and automated machine learning from DataRobot expedites the entire process of developing and deploying actionable machine learning models to days. In this webinar recording, industry expert Jen…

  • DataRobot Jen Underwood

How the Role of Data Prep & ETL is Evolving

As businesses have modernized data processes to prioritize self-service and agility, the need for more “analysis ready” data, faster, has led to the advent of modern data preparation solutions. Data preparation platforms prioritize ease of use, rapid iteration, and machine learning-guided functionality to make the traditionally-tedious process of data cleaning more efficient and accessible to…

  • Ovum Paige Bartley & Trifacta Will Davis

Introducing the New Cloud Wrangler

Introducing the New Cloud Wrangler Now with a completely cloud-based architecture, Wrangler has array of new features focused on increasing ease-of-use and efficiency. Users benefit by never having to download any software and it lets our team push new features out at a much faster pace. Listen to this recording our webinar with Alon Bartur…

  • Trifacta Will Davis & Alon Bartur

How QEL Implemented an Agile Data Preparation and Reporting Platform

Insurance Demands a New Approach to Data Preparation and Reporting As an insurance professional, you may have found it difficult to consolidate, dirty and complex data for monthly reporting. You may have even used manual approaches causing downstream reporting issues and human error. Organisations that have achieved success in more quickly leveraging complex data (such…

  • Charles Taylor Ludovic Veale & QEL Jurriaan de Vries

Making Big Data Work in the Cloud

In this webinar you will learn: The advantages of Big Data cloud solutions with unlimited scalability, speed of deployment, simplified management, and cost reduction How to build an architecture that helps insulate from changes to data and schema The need to embrace self-service for business users, be it for preparing or analyzing data How to…

  • 451 Research Matt Aslett & Trifacta Bertrand Cariou