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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

The rise of SaaS business intelligence tools is answering that need, providing a dynamic vessel for presenting and interacting with essential insights in a way that is digestible and accessible. The future is bright for logistics companies that are willing to take advantage of big data. million miles.

Big Data 275
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Unveiling the Top 10 Data Visualization Companies of 2024

FineReport

Elevate your data transformation journey with Dataiku’s comprehensive suite of solutions. Domo Domo , a trailblazer in the realm of data visualization companies , continues to redefine how organizations harness the power of data for informed decision-making.

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The 10 biggest issues IT faces today

CIO Business Intelligence

“Those things aren’t necessarily new, but they’re more important now than ever before,” says Hamit, a member of the Emerging Trends Working Group with the IT governance association ISACA. 1 priority within the CIO function is cybersecurity strategies, up from the second spot in 2021. Maturing the enterprise cloud strategy.

IT 144
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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

To address these challenges, businesses need an inventory management and forecasting solution that can provide real-time insights into inventory levels, demand trends, and customer behavior. This is because raw data from various sources can contain inconsistencies, errors, and missing values that may distort the analysis and forecast results.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

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Agent Swarms – an evolutionary leap in intelligent automation

CIO Business Intelligence

The Agent Swarm evolution has been propelled by advancements in computing, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). This flexibility renders agent assemblies an essential element in contemporary automation strategies. The call to action is as clear as it is compelling.

IoT 110