Sigmoid
How Fintechs can create better data products with data mesh
Financial technology (fintech) companies have grown significantly and disrupted the traditional financial industry in recent years by leveraging innovative technologies and data-driven…
7 essential skills for building a successful career in Data Science
According to the US Bureau of Labor Statistics, data scientist jobs are predicted to increase by 36% between 2021 and 2031. This…
Top 5 data engineering trends for 2023
Over the past decade, Data Engineering has been enabling businesses to gain a competitive edge by providing them with insights in real…
Rehydrate bulk archived data in Azure storage using PowerShell Script
Azure blob storage provides data to be stored in three different tiers for cost optimization related to different use cases. There are…
Sigmoid’s 7 step approach for big data project success
A scoping exercise is the holy grail of your data project success be it Data Science, Product, or Data Engineering. In our…
Defining the right data analytics KPIs to drive business success
Business leaders often find it challenging to determine the right success metrics to assess the impact of Data and Analytics(D&A) programs. A…
Creating a single source of truth for banks to accelerate productivity and customer satisfaction
The digital revolution has created a huge influx of data across the banking industry in terms of payments, online transactions, loans, and…
3 key components of a data analytics strategy for internal data monetization
Companies across industries are making data monetization an important part of their strategy to drill down the data and crunch it to…
Real-time marketing measurement with multi-touch attribution for CPG
Digital marketers are looking for near-real-time intelligence on each customer touchpoint to optimize campaigns and create personalized customer experiences. Multi-touch attribution (MTA)…