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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

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Mulesoft, Tableau uptake fuels Salesforce growth spurt

CIO Business Intelligence

Despite a tumultuous couple of months, strong user uptake of Tableau business intelligence and MuleSoft data automation and integration software fueled a surprising 14% year-over-year jump in revenue for Salesforce’s fourth quarter. Artificial Intelligence, Business Intelligence and Analytics Software, Technology Industry

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Baldor’s first-ever CIO sets the transformation agenda

CIO Business Intelligence

What’s also going to change this farm-to-table business is how we exploit the internet of things,” Parameswaran says, adding that he is considering employing blockchain technology to digitize Baldor’s supply chain. My goal for this year and next year is to link those things in a seamless way,” the CIDO adds.

IoT 92
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The art of selling: IT budget approval made easier

CIO Business Intelligence

Instead, you want to implement a zero-trust network because the company’s business direction is to move more operations to remote “edge” facilities. The company is also implementing more robots and internet of things (IoT) technologies as it automates its manufacturing plants.

IT 101
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The Enterprise AI Revolution Starts with BI

Jet Global

And while AI algorithms are certainly poised to make an impact in each of these areas, enterprise businesses need to first invest in building the infrastructure to support them. The road to AI supremacy in enterprise business starts with investment in an area most businesses might not think to look at first.

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Why Investing in Data Is Crucial for Business Growth In 2022

Smart Data Collective

IBM estimates that 90% of all data generated by the Internet of Things (IOT) is not analyzed, or utilized in business decision processes. Despite this, there are four key areaswhere data can help to shape better understanding of how your business is running – and plenty of tools to help you get there!

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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

The primary challenge businesses face with inventory management is balancing the cost of holding inventory with the need to ensure that products are available when customers demand them. The consequences of poor inventory management can be severe. Furthermore, high-quality data is crucial for ML algorithms to make accurate forecasts.