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5 hot IT budget investments — and 2 going cold

CIO

The economy may be looking uncertain, but technology continues to drive the business and CIOs are investing big in 2023. At the same time, they are defunding technologies that no longer contribute to business strategy or growth.

Budget 363
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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

Source: Supply Chain Dive Over the last few years, global supply chains have been so severely disrupted – but also enhanced with cutting-edge technologies. Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Analytics in logistics and transportation.

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Fleet Maintenance Software: Technology Behind Preventive and Predictive Vehicle Servicing

Altexsoft

Fleet owners in trucking , car rental , delivery, and other transportation companies know that poorly maintained vehicles burn more fuel, require frequent oiling, and go kaput every other mile. It requires less planning and seemingly allows for savings on support maintenance, but usually leads to extra expenses due to higher repair costs.

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ETL vs ELT: Key Differences Everyone Must Know

Altexsoft

It is the process of collecting raw data from disparate sources, transmitting it to a staging database for conversion, and loading prepared data into a unified destination system. As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. ELT comes to the rescue.

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Procurement Analytics: Challenges, Opportunities, and Implementation Approaches

Altexsoft

Accounts payable are most vulnerable to errors (whether deliberate or not) due to disconnected and inaccurate information, especially if you have to deal with a big amount of documentation and process multiple transactions. Manual operations and/or outdated technology aren’t able to provide the required visibility and support your decisions.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

They track people’s behavior on the Internet, initiate surveys, monitor feedback, listen to signals from smart devices, derive meaningful words from emails, and take other steps to amass facts and figures that will help them make business decisions. What is data collection? Data engineering explained in 14 minutes.