Digital Transformation Forecasting IoT Sales 
Cloudera
JANUARY 20, 2021
Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. Reporting – delivering business enterprise insight (sales analysis and forecasting, market research, budgeting as examples).
Cloudera
AUGUST 3, 2021
Consider that e-commerce’s acceleration due to the pandemic saw retailers’ digital sales penetration realize 10 years of growth in just the first three months of 2020 alone. . The last eighteen months is causing supply chain forecasters to rethink the definition and incorporate risk into the planning process. .
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CIO Business Intelligence
JUNE 22, 2023
While Silicon Valley still pays top dollar for IT pros, the war for talent has moved beyond the technology industry, with other verticals vying for talented IT workers who have the skills to enable digital transformation, process improvement, change management, and the development of apps and services.
CIO Business Intelligence
JULY 20, 2023
These solutions leverage the latest advances in IoT and weighing scale and camera technologies to minimize or even eliminate friction, as they can precisely track the items customers add to their baskets and bill them when they exit the store. From 250 such stores in 2021, the study forecasts the number to touch 12,000 by 2027.
bridgei2i
JUNE 3, 2020
Consumer brands offered discounts and offers to consumers during shopping seasons to boost the sales of HDTVs, household appliances, home entertainment, and cars. As a result of the impact of COVID-19, we see a few major themes emerging in CTD, which are changing the way businesses have handled their sales, operations and supply chains.
Cloudera
SEPTEMBER 18, 2020
Supply chain visibility – COVID may accelerate deployment of IoT devices, data, and analytics to improve real-time visibility across the entire supply chain from a ‘track and trace’ perspective. The 6 key takeaways from this blog are below: 6 key takeaways. Brent Biddulph: . Automation and expertise .
Cloudera
SEPTEMBER 11, 2020
demand forecasting) based solely on historical transaction data – really missed the mark. The need to start better leveraging external data, working with broader data sets inclusive of incremental ‘demand signals,’ is no longer a ‘nice to have’ in order to improve forecast accuracy and inventory optimization.
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