Insights from our first Global Pride Month Panel 2023 Jun 28, 2023 CI&T’S Global Pride Month theme is "We must continue." It's a phrase to reaffirm our commitments to the LGBTQIAP+ community and keep moving forward! Last week we did our first Global webinar internally, but we picked up the best insights for you! Learn more
Increasing DEV Power with Augmented Coding Oct 28, 2022 Technological approaches and resources accelerate tasks associated with software development and maintain the quality of actions. This is Augmented Coding. Learn more
5 practices for an efficient Cybersecurity strategy May 15, 2023 The number of cyber attacks continues to grow. Worldwide, according to researchers at Check Point Research, there was an increase of 28% in the third quarter of 2022 compared to the same period in 2021. Companies are obvious targets – the average number of attacks is now more than one per week. Learn more
The Four Key Metrics for Digital Efficiency Sep 26, 2022 Discover a framework capable of enhancing developer velocity and digital efficiency for companies. Learn more
Solving CPG and Retailer Demand Forecasting Dilemmas Download The retailer-supplier relationship isn’t arranged in the way most conducive to confident demand forecasting. In this new report CI&T examines the demand forecasting relationship between retailers and suppliers. The report highlights pain points and opportunities for both parties, revealing a misalignment of data strategies causing ineffective forecasting. DOWNLOAD THE FULL REPORT Key findings from the report include: Suppliers’ highest ranking challenge related to forecasting demand was visibility and access to data. Retailers’ highest ranking challenge related to demand forecasting was scaling the data platformSuppliers reported they were most likely to break demand forecasting down by geography, while retailers were most likely to report breaking down demand forecasting by channel The majority of suppliers reported looking at sales data from the same month over years prior as their predictive approach, while the majority of retailers reported referencing the previous month’s sales to predict the following monthBoth suppliers and retailers overwhelmingly reported that consumer-level data (gender, age, household size) is the most likely type of data leveraged for demand forecasting