Smart Data Collective
NOVEMBER 20, 2022
Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face.
Smart Data Collective
MAY 21, 2021
New advances in data analytics and a wealth of outsourcing opportunities have contributed. Shrewd software developers are finding ways to integrate data analytics technology into their outsourcing strategies. Use data analytics to improve Agile management.
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CIO Business Intelligence
APRIL 11, 2022
IoT technologies enable planners to deploy energy-efficient streetlights that detect human presence and consume energy only when needed. Crowd monitoring : Anonymized localization data from smartphones helps cities better manage big. Intel® Technologies Move Analytics Forward. Just starting out with analytics?
Smart Data Collective
JUNE 30, 2022
Smart companies realize that analytics technology needs to be at the core of their business models. One of the most important ways that analytics can help companies thrive is by improving their logistics. Analytics Technology Helps Companies Bolster their Logistics Strategies. Vertical integration.
Cloudera
SEPTEMBER 24, 2021
Reductions in the cost of compute and storage, with efficient appliance based architectures, presented options for understanding more deeply what was actually happening on the network historically, as the first phase of telecom network analytics took shape. Data governance was completely balkanized, if it existed at all.
Smart Data Collective
SEPTEMBER 22, 2021
We have frequently talked about the benefits of using big data to make the most of your online marketing efforts. However, there are also a number of ways to use data analytics technology to execute your offline marketing strategies such as print marketing effectively as well. Become More Agile.
CIO Business Intelligence
APRIL 12, 2022
In any of these situations, different data points can be ingested once, and analyzed for multiple uses. Cameras and thermal vision technology are used to visually inspect vehicles for wear and tear, and when integrated with IoT sensors, can more accurately identify parts that should be replaced. Just starting out with analytics?
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