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What is a business analyst? A key role for business-IT efficiency

CIO

BAs engage with business leaders and users to understand how data-driven changes to process, products, services, software, and hardware can improve efficiencies and add value. Depending on the role, a business analyst might work with data sets to improve products, hardware, tools, software, services, or process.

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Sightfull, a startup that tracks key business activities, raises $18M

TechCrunch

In late 2020, developers Noam Liran and Alex Litvak were inspired to create a platform that applied automation concepts from security to the business analytics space. Currently, Sightfull has roughly a dozen SaaS customers, including Wiz and storage hardware startup VAST Data.

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Achieving Business Analytics Success

Datavail

Legacy soft- or hardware, hold-over manual processes, and data silos are roadblocks to forward progress. Datavail’s data engineers, analysts and systems management teams can help your organization find its brightest future by deploying business intelligence solutions. Contact us today. Contact an Expert ».

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Building a Beautiful Data Lakehouse

CIO

Data lakehouses also ensure that teams have the most complete and up-to-date data available for data science, AI/ML, and business analytics projects. Intel® Technologies Move Analytics Forward. Data analytics is the key to unlocking the most value you can extract from data across your organization.

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Want to Drive Industry Breakthroughs or Speed Up Innovation? Start by Optimising Your HPC and AI Workloads

CIO

Artificial Intelligence (AI) is fast becoming the cornerstone of business analytics, allowing companies to generate value from the ever-growing datasets generated by today’s business processes.

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What Is Cloud Analytics – And Why Should You Use It?

Datavail

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

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Technology Trends for 2025

O'Reilly Media - Ideas

Once data has been stored in a data lake, it can be used for traditional business analytics, stored in a vector or graph database for RAG, or put to almost any other use. A data lakehouse combines both structured and unstructured data in a single platform. The ability to scale fluidly is particularly important in the age of AI.

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