Data Enablement Forecasting Marketing Risk 
CIO Business Intelligence
OCTOBER 16, 2023
According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. It’s easy to think about these pieces of technology in two separate categories: one creates something new, the other forecasts future outcomes.
datapine
MAY 2, 2023
You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. Did you know?
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Cloudera
AUGUST 3, 2021
In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed.
Jet Global
OCTOBER 8, 2020
Not only have finance teams had to close companies’ books remotely, but they’ve also been required to provide the insight and information needed for some extremely complex decision-making, and continuously plan and forecast for events with little or no historical context. But there’s a balance to be struck.
IBM Big Data Hub
DECEMBER 7, 2023
Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.
IBM Big Data Hub
APRIL 4, 2024
Through BPM, disparate data sources—including spend data, internal performance metrics and external market research—can be connected. Also, BPM provides real-time insights into compliance metrics and risk exposure, enabling proactive risk management and regulatory reporting.
Jet Global
MARCH 22, 2023
These costs are not always visible when companies plan for their analytics offering but can significantly impact production, scale, and the speed of bringing analytics to market. The challenge is collecting all that data into one place and making it understandable. Following along as we see why buying is better.
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