Three ways analytics can accelerate your sales pipeline
Successful teams blend the art of sales with a data-driven pipeline strategy.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Demystifying Modern Data Platforms
July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. The gathering in 2022 marked the sixteenth year for top data and analytics professionals to come to the MIT campus to explore current and future trends. A key area of focus for the symposium this year was the design and deployment of modern data platforms.
Why is Customer Feedback so Important for the FinTech Industry?
Some time ago, we covered the key metrics that a Product Manager in a fintech organization should make a top priority when determining their KPIs, breaking them down into five groups: Session-based data, Customer Feedback, Technical Metrics, Action Stats, and Revenue. With that in mind, we conducted a series of surveys on LinkedIn, asking PMs in the fintech industry which of those groups were the most important for them while running digital product analytics.
Harri empowers users to make better decisions with ThoughtSpot Everywhere
Empowering customers with its next-generation software technology platform, Harri is using ThoughtSpot Everywhere to help hospitality businesses build, manage and engage their teams.
Making Sense of Qlik Application Automation API
Join Qlik's Developer Advocate Gertrude as she demonstrates a simple use case for Qlik Application Automation API.
Why is Data Integration Important in a Data Management Process?
Our five key points: Your data management processes are only as effective as the quality of the data you collate. Gaining access to as much data as possible is vital if you want the business-critical insights that can set you apart from the crowd. For Ecommerce businesses, so many of the resources you use are online, such as cloud-based SaaS, ERPs, or CRMs. Integrate.io explains why data integration is such a big part of data management for Ecommerce and the benefits of an intuitive ETL and ELT tool.
Get to anomaly detection faster with Cloudera's Applied Machine Learning Prototypes
The Applied Machine Learning Prototype (AMP) for anomaly detection reduces implementation time by providing a reference model that you can build from. Built by Fast Forward Labs, and tested on AMD EYPC™ CPUs with Dell Technologies, this AMP enables data scientists across industries to truly practice predictive maintenance.
Installing Yellowfin on a Mac OS or Linux computer
Watch this step-by-step tutorial to learn how easy it is to install Yellowfin on either a Mac or Linux computer. You will need a Yellowfin license.
In-depth Introduction to MLRun
Watch this video with Yaron, CTO and Co-Founder of Iguazio as he dives into different features and ways to use Iguazio's open source tool, MLRun.
Three dbt data modeling mistakes and how to fix them
When I first started my role as an analytics engineer, I was tasked with rewriting a bunch of data models that were written in the past by contractors. These models were taking over 24 hours to run and often failed to run at all. They were poorly thought out and contained a bunch of “quick fix” code rather than being designed with the entire flow of the model in mind.