A well-designed data strategy is critical to success. Here are 3 philosophies to help you design an optimal data strategy for your business.
Clickstream data – the behavior data collected from a user’s path through a website or app – is often used for business intelligence reports. It helps many companies answer questions like, ‘which of my products are people adding to their cart?’ or ‘What does our online purchase funnel look like?’ But our AWS Practice Lead, … Read More
Host Ken Rimple and Co-Host Sujan Kapadia bring this weeks’ dev news to the table: Rust, Radical Candor, virtual jam sessions, and more.
This post is a quick primer on the basic titles and skills best suited to fulfill responsibilities along your company’s data pipeline.
Our CMO Tracey-Welson Rossman sits down with Leslie Richards, the General Manager of SEPTA, to discuss the extensive role of data in public transit.
How do you right-size your data analytics effort? Our experts recommend asking these five questions to set up reasonable project parameters.
Today, Tracey Welson-Rossman and Sue Spolan chat with Susan Springsteen, the President of H2O Connected, LLC. H2O Connected is an IoT solution that gives property managers immediate insights into their toilet systems to detect leaks, monitor activity, prioritize repairs, get flooding alerts, and more.
Keith Gregory talks to Andrew Ganim, one of Chariot’s experienced software consultants, about his recent project: building a data pipeline for a multinational company.
Tracey Welson-Rossman talks to Edwige Robinson, the Vice President of Mobile Engineering Services at Comcast. What advice does Edwige have for businesses interested in bringing their product or service to phones, either via app or responsive website? What should be considered when planning a well-rounded mobile strategy? And once the mobile solution is implemented, how do you use customer data and behavior insights to make better, more informed business decisions?
Gathering, cleaning, manipulating, and assessing data is a complex (and expensive) job – especially if the data takes a wide variety of forms, and comes from many different sources. So why should companies invest in that work?