Online Dating Platform Scales to Millions of Users

Online Dating Platform Scales to Millions of Users

  • Posted by Daitan
  • On November 19, 2019
  • Analytics, Architecture, Customer Experience, SaaS, Scalability
The project objective was to build an online dating and matchmaking mobile and online platform that scales to millions of globally distributed users.
Read More
 3
 A Visual Guide to Time Series Decomposition Analysis

A Visual Guide to Time Series Decomposition Analysis

  • Posted by Daitan Innovation Team
  • On August 2, 2019
  • AI, Analytics
Last time, we talked about the main patterns found in time series data. We saw that, trend, season, and cycle are the most common variations in data recorded through time. However, each of these patterns might affect the time series in different ways. In fact, when choosing a forecasting model, after identifying patterns like trend and season, we need to understand how each one behaves in the series. With this goal in mind, let’s explore two different pre-processing techniques — additive and multiplicative decomposition.
Read More
 
 How Analytics Measuring Output and Outcome Bring Value to Scaling Agile

How Analytics Measuring Output and Outcome Bring Value to Scaling Agile

  • Posted by Daitan
  • On July 10, 2019
  • Agile, Analytics, Business Outcome
The movement to scale Agile across organizations has led to lots of focus on, not only best practices and methods for implementation, but also the right way to measure success. In this article, we want to discuss the distinction between Agile analytics that quantify “output” versus those that measure business “outcomes.”
Read More
 
 Data Pipeline & Analytics Solution

Data Pipeline & Analytics Solution

  • Posted by Wilker Amorim
  • On December 7, 2018
  • Analytics, Data, Telecommunications
Building a near real-time analytics system, orchestrating multiple computer clusters analyzing over 15 billion events (or 13 Terabytes of data) per day.
Read More
 3
 How Does High Demand for Data Science and Advanced Analytics Skills Create Business Risk?

How Does High Demand for Data Science and Advanced Analytics Skills Create Business Risk?

  • Posted by Daitan
  • On March 11, 2018
  • Analytics, Business Outcome, Data Science, Hiring
BLOG - Data Scientist is the top job in the USA. And this is the case for a few years in a row according to Glassdoor’s annual report. Demand continues to outpace available resources. A quick search of LinkedIn shows over 11.5K open Data Scientist roles and over 7.4K Data Engineering roles in the USA alone. Incredible.
Read More