How to Automate Partner Onboarding
The Challenge Onboarding partners can be one of the largest bottlenecks for large…
Retail
Retail and ecommerce companies manage constant, high-volume data from POS systems, inventory, ecommerce platforms, and customer touchpoints, all of which needs to stay synchronized in near real time.
Nexla connects POS, inventory, and ecommerce systems for retailers, keeping data current across channels so pricing, stock, and customer data stay accurate wherever they’re consumed.
How a Top National Retail Chain Uses Nexla to Make Data Analytics-ready
Nexla makes it easy to get data from any API and make it ready-to-use in minutes.
By Angela Chen
How to Sync Data Between Shopify and NetSuite
Background Shopify is an e-commerce platform that enables businesses to run online stores. Shopify provides…
By Angela Chen
Nexla Achieves SOC 2 Type II Certification
Nexla is trusted for mission-critical data by some of the largest US companies across banking,…
Five Data Management Predictions (Observations) from the Trenches
Welcome 2021! Mankind wasn’t prepared for 2020! Not from a healthcare perspective, education perspective, or…
Product Updates Aug 2020 Faster Analytics, ELT Data, Zoom, Tableau, Google Drive and more…
Nexla Monthly Update Direct integration with Tableau and its Hyper data format, several new connectors…
Nexla Named a Representative Vendor in Gartner’s 2018 Market Guide for Event Stream Processing
Data Operations Platform Recognized in Market Guide for Event Stream Processing Nexla has been recognized…
Three Simple Rules to Gain Control of Retail Data
Every retailer today is digital. Whether you’re a direct-to-consumer digital brand or a 100-year old merchant with an impressive real estate footprint, data is becoming more and more important to your growth. However, harnessing data to drive business value is no easy feat. It can lead to a jumble of messy integrations that break and cause distraction. “Data Operations” is term to describe all the grunt work that has to happen before data can turn into real business value. Streamlining these Data Operations has become a requirement—not just for the retailer’s sanity, but for her bottom line.
Come see Nexla at a Conference Near You
As summer comes to an end, it’s time to hang up our beach towels and…
Data Engineers: The New Kings and Queens of Artificial Intelligence
Data operations is the pick axe in the AI gold rush. Without the right data and the equipment to mine it, the promise of AI for many companies will be left unrealized. This is especially true for companies in finance, retail, healthcare, and more where you create value with the algorithms and analysis you do on data and not how you access and manage it. These companies would be wise to work with trusted software partners to build up their data operations teams. The data challenges that come with AI can’t be solved by more job listings. We’re going to need real technology to help our data engineering kings and queens process the next 180 zettabytes.
The Data Layer Your AI Is Missing
Connect, contextualize, and govern enterprise
data across 1000+ systems in real time.
