Remove B2B Remove Business Intelligence Remove Data Warehouse Remove Optimization
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How AWS helped Altron Group accelerate their vision for optimized customer engagement

AWS Big Data

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better. Foundations for a data lake with data governance controls and data quality checks.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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Reference guide to analyze transactional data in near-real time on AWS

AWS Big Data

Managed AWS Analytics and Database services allow for each component of the solution, from ingestion to analysis, to be optimized for speed, with little management overhead. It is crucial for critical business solutions to follow the six pillars of the AWS Well-Architected Framework.

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10 Fundamental Web Analytics Truths: Embrace 'Em & Win Big

Occam's Razor

My problem with these mistruths and FUD is that they result in a ton of practitioners and companies making profoundly sub optimal choices, which in turn results in not just much longer slogs but also spectacular career implosions and the entire web analytics industry suffering. A majority of web analytics data warehousing efforts fail.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company. Branches range by products, namely B2C loans, B2B loans, and formerly also B2C mortgages. The departments include teams from engineering to sales and marketing.

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What is Data Mapping?

Jet Global

Data sources are crucial for reporting, analyzing, and acting on transactional and corporate data and connecting these sources in real time with various tools like connectors, ETL tools, mashups, Web services, and data source-neutral BI solutions is essential. Data warehouses can be complex, time-consuming, and expensive.