Business Platform Team

Anant Corporation Blog: Our research, knowledge, thoughts, and recommendations about building and managing online business platforms.

Monthly Archives: April 2020

KeystoneJs vs Strapi

In the battle between KeystoneJS vs Strapi, traditional vs headless CMSs’, which one is a better fit for you?

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two moniters

Design Implementable Websites

The visual display of each website is the result of the collaboration between UI designers, front-end engineers, and sometimes UX designers. To make this collaboration work well, it is crucial that each team member involved understands how the UI design work is transferred into the final released products. This will, to some extent, avoid the unnecessary conflict that can occur when the front-end engineer complains about what they believe is unreasonable design while the UI designer argues about the team not following the original artwork.

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Why You Should Use Netlify for Your Static Websites

Here at Anant, I have been using Netlify for the better part of the last 2 years or so. It has allowed us to get projects up and running fast and efficiently without much hassle on our end. To my surprise, I don’t hear or see much buzz about Netlify among the companies and professionals I interact with on a daily basis. In this blog post, I’m going to go over the Netlify features I find essential in my day to day routine. I feel like it would be greatly beneficial towards small and big companies alike.

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Database Aggregations for Machine Learning

The first part of any machine learning project is to gather data. This sounds easy. You may think that this puts you in the perfect position to work with data you have in relational databases. In some circumstances that may be correct. However, most of the ways that we store data in databases for business platforms are sub-optimal for using machine learning. They require more work to gain the insights we want out of our data.

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Observing Data on Ipad

Databox Evaluation + Klipfolio Comparison

Databox is an online BI tool that helps users pull their data into one centralized repository, so they can track performance and discover insights in real-time. It also allows users to mix and match their data in one place using data boards to help cut downtime checking data and creating reports from multiple KPIs in order to allow more time for making data-driven decisions. These data boards are real-time visualizations of your data, and they can be monitored anywhere, while also being optimized to be viewable on a desktop, mobile app, Apple Watch, and even a TV.

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